The Aftermath of the Great Resignation

Many nations are staring down the barrel of economic recession. In the US, we’ve seen ‘rolling recessions’ since early 2022 as various sectors show significant signs of contracting. Despite the labor market remaining tighter than pre-pandemic levels, economists note that labor rates will continue to slow while the Federal Reserve noted tighter credit conditions that indicate a slowdown across the financial sector.

According to the US Bureau of Labor, total nonfarm payroll employment rose by 517,000 in January, which was the largest increase in the last six months and almost triple economists’ projections. The number of employed persons changed little since early 2022, remaining at 5.7 million, respectively. However, unemployment fell to a 50+ year low of 3.4%, and wages increased by 0.3% for an average year-over-year rise of 4.4%.

Reports show some signs of reduced tension in labor markets, with an average of 1.9 job openings for every unemployed person in the nation. Furthermore, the number of job openings increased by 6.7% to 11 million in December, indicating companies had even more unfilled positions than before. However, LinkedIn’s “labor market tightness” metric showed that the ratio of job openings to unemployed people is closer to 1-to-1 as recession fears continue shaping labor movements.

Technology’s Ongoing Reshuffle

Of the many sectors impacted by the ‘great reshuffle’, technology ended last year and began 2023 with industrywide downsizing. In total, more than 55,000 tech professional lost their jobs in January, while over 150,000 tech employees were downsized in 2022.

Twitter has conducted rolling layoffs under Elon Musk’s ownership, reducing headcount by 75% since the platform’s IPO. Meanwhile, Microsoft CEO Satya Nadella confirmed in a January blog that the company would be eliminating 5% of its workforce, impacting 10,000 employees.

Google also saw significant layoffs across a variety of its subsidiaries and start-ups backed by its parent company, Alphabet. Both an India-based social media start-up backed by Google, as well as Alphabet’s robotics subsidiary Intrinsic AI reduced their workforces by 20% in January this year. Verily — a life sciences firm also owned by Alphabet — also downsized its workforce in January by 15% despite its recent raising of $1 billion in funding.

Customer spend pull back and inflation rate are one of the primary drivers for the many layoffs that we see, more so in big tech. Self-reported layoff tracker Layoffs.fyi found 485 companies let more than 138,000 workers go so far in 2023. This is much higher than what we have seen during DotCom boom and in any of the the previous years. 

Reflect and Reconnect

The ongoing changes we see in work environments mean business leaders must analyze their current systems and processes, ensuring there’s real clarity around people’s roles and responsibilities.

Once there’s a clear understanding of organizational needs and capabilities, the view must sharpen on the individual employees, understanding their skills, experiences, and goals to ensure alignment between business and talent.

This process of reflection and assessment also serves as a useful opportunity to connect directly with staff to openly discuss their values, challenges, and daily workflows. This helps determine how each role contributes to the greater company purpose, particularly in terms of eliminating silos and operational redundancies.

Retain and Reassure

A common mistake managers made in adapting to hybrid work was holding onto their same managerial approaches that simply don’t translate to hybrid or remote workspaces. Considering how rapidly things change, this type of inflexible leadership commonly leads to staff dissatisfaction, which could result in increased turnover and poorer performance.

To ensure staff feels valued and a part of something bigger, learning and development need to be better tailored to learners’ experiences rather than learning outcomes, which promotes autonomy and self-determination around employees’ skill and career development.

Regular communication with employees will help determine how their roles are evolving, ensuring you can address any uncertainty or confusion before it stems into discontent. This means actively listening to employees’ needs and actioning their feedback, which not only helps build a culture of open communication and trust but plays a pivotal role in improving internal processes.

The increasing popularity of hybrid work has created an unhealthy hustle mentality and culture where people are ‘always on,’ always available, and never completely away from work. This must be replaced with more sustainable principles and practices whereby people feel personally motivated to go above and beyond rather than fearful of falling behind.

This means embedding a larger purpose into work, giving people a reason (beyond salary) to love where they work. The key is helping employees believe in the company’s overarching vision. Staff who feel a part of the business are more likely to step up during challenging periods and feel more connected with others, which helps establish common goals alongside a greater sense of well-being and community.

Employees everywhere face the prospect of national and global recession, which can motivate some to stay put while adding further economic pressure on employers to offer competitive salaries. Attracting and retaining top talent means remaining abreast of people’s needs and expectations – going beyond salary to deliver a reassuring employee experience complete with ongoing support, development, and career progression.

Reskill and Redeploy

Reskilling means integrating learning and development in an impactful way, understanding what motivates the individual, what skill or field of study interests them, and then offering the capacity to personalize their learning experience.

Since people learn more when they see the value in what they’re learning, the onus is on employers to prioritize learning and development, ensuring it’s more than an optional service–learning must be an integral part of the business culture. After all, providing an online coaching service is nice but not entirely useful if people aren’t allocated time and support to leverage it.

Digital learning has made education and training more accessible, convenient, and engaging than ever before. No university or course provider can offer the same personalization and flexibility we see in online learning. And consumers have come to expect seamless and customizable digital experiences with most of their service providers – including education and training.

Furthermore, by addressing both individual and business needs, businesses can help fill talent gaps, future-proofing their workforce, and ensure the retention of top performers. Learning is a never-ending process that is about enriching people’s lives through the process, helping them discover solutions rather than giving them answers. We all learn and grow through different means, so learning should be as intuitive, engaging, and accessible as possible, integrating seamlessly into people’s daily workflows – ready to be deployed in a more streamlined and efficient workforce.

LinkedIn’s ‘2022 Global Talent Trends’ noted that employees ranked ‘upskilling’ as a top five most valued priority when it comes to feeling secure and supported. Furthermore, 74% of people said they’re willing to learn new skills or retrain to remain employable, further demonstrating skill development’s role in attracting and retaining top talent.

Reimagine and Recreate

To stave off recession, organizations everywhere are cutting costs, and often it's payroll first that’s first assessed and restructured. While downsizing can be a quick fix for profitability, it’s a short-term solution that can create more costs in terms of lost talent, company culture, and organizational knowledge that departs with some legacy employees and isn’t subsequently passed onto new hires.

When trying to reduce costs, it can often be helpful to enlist an outside auditor to find potential savings through recurring costs, such as software licenses, subscriptions, and utilities. A top-down and bottom-up assessment of costs and drivers can help organizations distinguish necessities from luxuries, eliminating any unnecessary costs that don’t deliver value to staff or customers.

Rather than downsizing to reduce costs, it’s more strategic and long-term to try ‘rightsizing,’ i.e., reimagining your team to better meet company objectives and needs. This may involve letting some people go, hiring new talent, or shifting staff around to make better use of their capabilities. However, rightsizing is a continuous process rather than downsizing’s ‘one-hit’ solution.

Rightsizing also means optimizing and streamlining processes by eliminating any duplication of work. Reducing redundancies of people and processes ensures an organization isn’t wasting time and resources on non-value-adding tasks. Instead, rightsizing ensures an organization has the structure and resources it needs to maximize potential and more effectively plan for uncertainty.

Redefining Employee Experience

Today’s workforces face several challenges, from impending recession to post-pandemic exhaustion and an increasingly competitive talent market. This means businesses place much greater focus on employee experience from end to end, understanding people’s needs from hire to retire. Business leaders must look beyond competitive salaries to provide a healthy work-life balance alongside engaging company culture and environment.

Employee ‘satisfaction’ is no longer adequate; businesses must strive to address employee happiness and well-being, particularly as hybrid work blurs the line between ‘at home’ and ‘at work.’ Businesses unwilling or incapable of providing flexible work arrangements may find their employees taking part in the ‘quiet quitting’ movement whereby they do the bare minimum to ensure job security or even start ‘rage applying’ in reaction to demanding bosses, unreasonable deadlines, and rigid work arrangements.

Employee experience has become paramount to how employers distinguish themselves from others. With businesses reimaging roles and responsibilities with the assistance of digital technology, it can be easy to lose sight of the team’s human nature. However, experience is a fundamentally human thing that requires human input and understanding. Any investment in intelligent technologies should first address a simple question – how will this improve the way users currently operate?

We’re seeing drastic changes in how employees work, communicate, and connect with one another. This has brought their well-being and experience to the forefront, which means businesses must be more holistic in how they attract, retain, and upskill talent.

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Incite Informatics is a global provider of software development and consulting services specializing in Big Data (and little data). Our solutions help companies Organize, Visualize, and Mobilize their data for strategic and tactical advantage. With collective experience of over 75 years, we help organizations leverage the exponential and disparate volumes of data they’re collecting every day. Our agile approach produces solutions in weeks versus months, allowing for immediate proof of value to clients...

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Performance Management

Elevating Business Strategies with Top Data Visualization Companies

Article | March 23, 2021

Dive into mastering aesthetics in data visualization with this checklist. Explore techniques to enhance visualizations, and achieve lasting impact. Learn to create visually stunning presentations. Contents 1. Introduction 2. Key Principles of Data Visualization 3. Ultimate Checklist for Improved Data Visualization 4. Top Companies Revolutionizing Data Visualization 4.1 Databox 4.2 NinjaCat 4.3 Plecto 4.4 Venngage 4.5 Prodoscore 4.6 Genially 4.7 Forsta 4.8 AmplifAI 4.9 think-cell Software 4.10 Qalyptus 5. Summing Up 1. Introduction Effective communication of insights and discoveries is essential for taking action and making well-informed decisions in today's data-driven society. When combined with excellent storytelling, data visualization offers powerful tools for converting complex data into Engaging stories that captivate audiences. Acquiring proficiency in data visualization aesthetics becomes imperative for businesses looking to extract the most value from their information. Organizations can enhance their understanding of intricate data and revolutionize their interactions with it by adopting modern technologies and innovative approaches to information visualization. Insights can be efficiently communicated through data visualization with the help of this guide, to empower data science professionals and companies in mastering the aesthetics of data visualization. Aesthetics in data visualization refer to the design principles and techniques used to enhance the visual appeal and effectiveness of data presentations. These include aspects such as color choice, typography, layout, and interactivity, all aimed at making the data more engaging and understandable to the audience. 2. Key Principles of Data Visualization In the field of data visualization, graphical information representation is an important tool for improving interpretation, analysis, and communication. A variety of methods, including maps, graphs, charts, and infographics, are used to simplify complex statistics into representations that are easy to understand and visually appealing. Selecting the appropriate visualization method depends on the type of data and the insights that are sought. For example, scatter plots and maps work well with multivariate and spatial data, but bar charts and line graphs are excellent at displaying trends. To guarantee that the audience understands, it is crucial to emphasize simplicity and clarity. To reduce cognitive burden and facilitate understanding, usage of clear labeling, detailed names, and sensible color schemes are followed. To create impactful visualizations, certain principles should be followed: Simplify complex data by presenting it in clear and concise visual representations, aiding comprehension. Utilize appropriate chart types tailored to data types to ensure accurate and meaningful representation. Design for clarity and readability by choosing layouts, fonts, and sizes that enhance comprehension. Incorporate meaningful colors, labels, and annotations to highlight key information and guide attention. Emphasize storytelling through data visualization, structuring visuals to drive insights and action. 3. Ultimate Checklist for Improved Data Visualization Optimizing data visualization in businesses rely on adhering to essential best practices throughout the design and implementation process. Here are the top five strategies to ensure impactful data presentations: Audience-Centric Approach: Tailor visualizations to meet the specific needs of the audience. Whether targeting executives for high-level insights or analysts for in-depth data exploration, align the visualizations with their expectations to deliver meaningful insights effectively. Strategic Chart Selection: Choose chart types that best convey data insights. Opt for bar charts to compare values across categories, line charts to illustrate trends over time, and other formats that align with the data narrative for clarity and comprehension. Streamlined Visuals: Simplify visualizations by decluttering unnecessary elements that could distract or confuse viewers. Maintain a clean design with a restrained color palette and avoid overly complex effects to ensure clarity and focus on the data message. Engaging Storytelling: Elevate the visualizations by integrating storytelling techniques. Add context through annotations, craft compelling titles and captions, and structure visualizations in a logical sequence to guide viewers through the data narrative seamlessly. Consistent Design Standards: Ensure consistency in design elements like fonts, axis labels, and legends across all visualizations. This fosters readability and provides a cohesive visual experience, enhancing understanding and retention of the data presented. 4. Top Companies Revolutionizing Data Visualization 4.1Databox Overview: Databox is a versatile data visualization platform offering powerful features for connecting and analyzing data from various sources. It enables users to create interactive dashboards, track key metrics, and collaborate with team members effectively. Key Features: Integrates with popular platforms like Google Analytics, HubSpot, and Facebook Ads, allowing consolidation of data from multiple sources into a single dashboard. Offers ready-made templates and dashboards to expedite visualization creation, saving time and effort. Users can customize dashboards with various visualization options, chart types, and widgets to suit specific needs. Facilitates teamwork through collaboration and sharing features, enabling automated alerts, notifications, and insights sharing with stakeholders. Provides advanced features like automated alerts, goal tracking, performance monitoring, data transformations, and calculations to enhance data visualization and analysis. 4.2NinjaCat Overview: NinjaCat is a robust data visualization tool designed to streamline reporting and analysis tasks for digital marketers and agencies. It offers a comprehensive suite of features aimed at simplifying data aggregation, visualization, and reporting across various advertising platforms. Key Features: NinjaCat seamlessly integrates with popular advertising platforms such as Google Ads, Facebook Ads, Microsoft Advertising, LinkedIn Ads, and more, enabling users to gather data from multiple sources in one centralized location. Users can create highly customizable dashboards tailored to their specific reporting needs. NinjaCat provides a wide range of visualization options, including charts, graphs, tables, and widgets, allowing users to present data in a visually appealing and easily digestible format. NinjaCat automates the reporting process by scheduling and sending reports to stakeholders on a regular basis. Users can set up custom report templates, define reporting intervals, and choose delivery methods (e.g., email, PDF, URL) to streamline communication and collaboration. NinjaCat offers advanced performance monitoring capabilities, allowing users to track key metrics, analyze trends, and identify opportunities for optimization. Users can set up alerts and notifications to stay informed about significant changes in campaign performance. NinjaCat allows users to create interactive reports with drill-down capabilities, enabling stakeholders to explore data in more detail and gain deeper insights into campaign performance. 4.3Plecto Overview: Plecto is a cloud-based performance dashboard designed to streamline data management and visualization for businesses of all sizes. Its suite of features includes data integration, scorecards, gamification, and data analytics, empowering teams to visualize performance in real time on customized dashboards. Key functionalities such as drag-and-drop widgets and integration with various data sources make it easy for users to create comprehensive dashboards tailored to their needs. Key Features: Gain instant insights into key performance indicators (KPIs) with real-time data visualization, enabling quick decision-making and action. Create customized dashboards by integrating data from multiple sources, including integrations, spreadsheets, databases, and manual registrations, to centralize information and streamline analysis. Drive employee engagement and motivation by using gamification features such as contests, achievements, and leaderboards to recognize and reward team members based on performance. Seamlessly integrate Plecto with popular third-party applications like Salesforce, Pipedrive, Podio, Zendesk, and Zapier to consolidate data and enhance visibility across systems. 4.4Venngage Overview: Venngage is a user-friendly infographics tool that empowers users to create stunning infographics, reports, and data visualizations quickly and effortlessly. With its intuitive interface and extensive library of templates and design elements, Venngage caters to both beginners and advanced users, offering highly customizable controls for creating professional-looking infographics. Key Features: Choose from a vast collection of professionally designed templates and themes to kickstart the infographic creation process. Easily add charts, icons, text, or images to the template by simply dragging and dropping elements onto the canvas. Customize and stylize infographic elements to match brand's identity and messaging, with controls for colors, fonts, shapes, and more. Share infographics directly on social media platforms or download them as images for offline use, enabling easy distribution and sharing with the audience. 4.5Prodoscore Overview: Siloed data can impede collaboration and growth within organizations. Prodoscore addresses this challenge by aggregating data from core cloud applications into one intuitive dashboard. It seamlessly integrates with Google Workspace, Microsoft 365, and other common applications, allowing teams to visualize employee engagement with software tools. This visualization helps identify underutilized solutions, optimize tech stacks, and pinpoint training needs. Prodoscore provides management with complete transparency, enabling informed decisions about technology effectiveness and resource allocation. Key Features: Prodoscore merges data from various business applications into a user-friendly dashboard, presenting it as a simple score. The platform offers tools to visualize employee data trends in real time, empowering informed decision-making. Prodoscore focuses on surfacing actionable insights around engagement and productivity, providing leaders with objective data to make smarter decisions. With just a 15-minute installation process, Prodoscore quickly integrates into existing workflows without disrupting operations. Utilizing AI, Prodoscore aggregates critical data to generate scores that reflect employee engagement and productivity effectively. 4.6Genially Overview: Genially is an innovative online tool designed for creating engaging digital content, including presentations, infographics, gamifications, images, and more. With a user-friendly interface and a focus on interactivity and animation, Genially empowers users to captivate their audience and elevate their content to new heights. Key Features: Genially allows users to create a wide range of digital content, termed as ‘geniallys,’ which are not limited to traditional presentations or infographics. These geniallys are interactive and animated, offering a unique and engaging experience for viewers. Genially's features make it practical for visualizing data, enabling users to easily transform raw data into visually appealing content. Users can import content from various platforms and formats, including Google Sheets, Infogram, and Data wrapper. Genially seamlessly integrates with external tools like Infogram and Data wrapper, allowing users to embed graphics directly into their geniallys using HTML code. Users can even embed dashboards from Google Data Studio, maintaining filters and structure for efficient reporting. Users can share geniallys using links or embed them in websites, digital newspapers, blogs, and more. Updates made to geniallys are automatically reflected everywhere they are embedded or inserted, ensuring that viewers always see the latest version. 4.7Forsta Overview: Forsta is a pioneering technology company specializing in experience and research technology, with a unique focus on collaboration and client-centered solutions. At the heart of Forsta's offerings is the human experience ( HX ) platform, an award-winning platform that integrates customer experience (CX), employee experience (EX), and market research to provide comprehensive insights into audience experiences across industries. Key Features: The Forsta HX Platform seamlessly integrates CX, EX, and market research, breaking down silos and providing a holistic understanding of audience experiences. Forsta prioritizes collaboration, listening, and co-designing solutions with clients to meet their unique needs effectively. With cutting-edge technology and expert consulting services, Forsta assists organizations across various industries in leveraging data for informed decision-making to drive innovation. Forsta's commitment to excellence is recognized by industry leaders, with accolades including leadership positions in the Gartner Magic Quadrant and the G2 grid, along with recognition in the TMC CUSTOMER Experience Innovation Awards. Forsta's Visualizations module continues to evolve with frequent updates and enhancements, introducing 36 new features over seven months. These enhancements cater to diverse analytical needs, from exploratory analysis to dynamic dashboard creation and automated reporting. 4.8AmplifAI Overview: AmplifAI is the forefront of platforms providingAI in HR to drive people enablement, dedicated to creating employee-centric work environments. By transforming employee data into actionable insights modeled after top performers, AmplifAI facilitates hybrid teams in maximizing business outcomes, enhancing productivity, and fostering engagement. As organizations transition to hybrid work models, AmplifAI emerges as a trusted partner for innovative leaders, enabling performance improvement and injecting fun into work, regardless of the location. Key Benefits: Accelerate employee performance to desired levels swiftly through metric-based performance analysis, self-paced micro-learnings, and intelligent coaching interventions. Equip supervisors with automated, data-driven recommendations that consistently elevate agent and team performance, enhancing overall leadership effectiveness. Role-based visualizations deliver personalized actions directly to employees, empowering them with clear directives to enhance their performance based on data-driven insights. Elevate employee experience by providing resources necessary for skill growth and daily excellence, thereby reducing attrition rates within contact centers and fostering a culture of continuous improvement. 4.9think-cell Software Overview: Think-Cell Software is at the forefront of productivity software, particularly in the area of data-driven presentations in Microsoft PowerPoint. Its purpose is to simplify complex charting tasks, allowing users to generate complex charts with simplicity. It increases productivity and efficiency by providing a full toolbox and streamlining processes, making it a reliable partner for professionals looking to improve their presentations and give relevant insights. Key Advantages: Leveraging Think-Cell is intuitive, as its processes closely resemble powerpoint's functionalities. The underlying datasheet is excel-based, ensuring a seamless transition for users familiar with microsoft office tools. Think-Cell fills the gaps left by PowerPoint, offering a plethora of frequently used chart types and elements absent in the native software. This comprehensive toolkit empowers users to create visually stunning charts with ease. Leading consulting firms rely on Think-Cell for a reason that it saves up to 70% of their time spent on charting tasks. Delve into some unique Think-Cell charting features, exclusive to the platform, that expedite chart production and optimize efficiency. With Think-Cell at disposal, one can elevate the corporate presentations to new heights. Discover innovative charting solutions and unleash the creativity while saving valuable time. 4.10Qalyptus Overview: Qalyptus offers a comprehensive reporting solution tailored for users of Qlik Sense and QlikView, aiming to make information accessible to everyone with intuitive ease. With Qalyptus, the entire reporting process, from creation to distribution and administration is streamlined for maximum efficiency. Key Features: Qalyptus simplifies the report creation process, allowing users to generate custom reports from Qlik Sense and QlikView data effortlessly. Whether it's in PDF, powerpoint, excel, word, HTML, or other formats, creating a personalized report takes less than 5 minutes. Once reports are created, Qalyptus enables seamless distribution to an unlimited number of users. Whether it's internal stakeholders, clients, or partners, sharing insights derived from Qlik Sense and QlikView is hassle-free with Qalyptus. Qalyptus provides robust administration capabilities, allowing users to manage and oversee the entire reporting workflow efficiently. From user access controls to scheduling and automation, Qalyptus empowers administrators to maintain control and ensure smooth operations. 5. Summing Up Delving deep into data visualization aesthetics proves instrumental in unraveling the insights concealed within vast datasets and transforming them into actionable intelligence. By adhering to the principles of aesthetics and functionality, organizations can craft visualizations that inform and inspire, paving the way for strategic decision-making and fostering a culture of data-driven innovation. Looking ahead, the future scope for mastering the aesthetics of data visualization holds promising prospects. As technology continues to evolve and anticipate advancements in interactive visualization tools, AI-driven design recommendations and augmented reality integration offers even greater opportunities for creating compelling and impactful visualizations. With a continued focus on innovation and adaptation, organizations can stay at the forefront of data visualization excellence, driving further advancements in business intelligence and decision-making processes.

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Business Intelligence, Big Data Management, Big Data

Know the Text Analytics Use Cases in Businesses

Article | July 18, 2023

“Text analytics can help organizations discover patterns in large unstructured data sets. Unstructured data, such as videos, photos, and audio accounts for at least 80% of your company’s data, a true blind spot for most businesses.” - IBM Data scientists use advanced data science approaches to examine text. This textual data provides a better understanding of client attitudes toward certain topics or uncovers additional information. Using this text analytics, you can turn free-form text into structured data for use in prediction models or uncover hidden patterns in your data. If you want, you can use text analysis to identify prospective customers who might be interested in cross-selling, forecast customer attitudes, and understand fraud-prevention behaviors. Businesses understand the value of their raw text across all industries. As a result, with the help of data, they can reduce operational expenses, find previously unknown linkages, and get a better insight into the future trends. Is it hard to comprehend that text accounts for 80% of all corporate data? Online reviews, call center transcripts, consumer surveys, and other written documents are examples. This raw text data is a gold mine for understanding customer attitudes. Text mining and analytics transform these underutilized data sources into actionable information. However, each organization must have the expertise, infrastructure, and analytical perspective to implement this cutting-edge technology in their own way. How is Text Analytics Used in Companies? Companies can use NLP and untapped data sources in a number of ground-breaking ways. Many businesses are already successfully employing text to drive their operations. In addition, text analytics can help you improve your procedures if you're transitioning from business intelligence reporting to data science. Best Five Text Analytics Use Cases for Businesses Companies and people, regardless of industry, desire to make better-informed business decisions based on trackable and measurable data. Thanks to improvements in text analysis, companies can now mine the text for insights and improve their service or offering to thrive in their industry. Read on to understand some of the text analytics use cases that could be applied in your company. Voice of the Customer (VOC) to Extract Customer Opinion on a product Companies employ VOC applications to determine what customers say about a product or service. Emails, call center logs, surveys, and social media streams such as blogs, tweets, forum postings, newsfeeds, and so on are examples of data sources. A telecommunications company, for example, might use voice of customer text analysis to look for complaints about their online services on Twitter. It will give them an early warning when customers aren’t happy with the service's performance, so that they can act before the client calls to complain or publicly ask for the contract to be terminated. Lead Generation through Social Media A piece of social media information can be used to retain and get new clients. It is like the use of the VOC application. For example, if a person tweets that they are interested in a particular product or service, text analytics can detect this and pass the information to a sales representative, who can then pursue the prospect and turn them into a customer. Finding Out What Customers Value through Market Research According to numerous statistics, consumers are interested in other people's thoughts and experiences. According to a study, at least 90% of humans are influenced by what they read. Also, if the review is terrible, the sentiment is shared. In the last few years, several websites have been collecting reviews of local eateries, vacation spots, and, of course, commercial products. If your company is thinking about going into a new market or looking into new product ideas, why not start by looking into online market research reviews from real people? Market research helps you know what features are important to customers when you start your marketing effort. It's critical to know which characteristics influence purchasing decisions and contribute to customer unhappiness. Use Customer Complaints to Identify New Product Ideals Understanding the consumer experience is critical, and internet reviews offer a dependable means to do it. Of course, when a consumer encounters problems, no one expects them to be happy, but it can be positive if the support is speedy and helpful. Social media handles could be effectively used to understand the feedback and complaints of customers. Responding to them promptly makes the customers feel good. It also, gives an idea of the expectations of the customers and the new product ideals. Analyzing the Customer Sentiments Whether you're selling a handbag or consumer software on the App Store, text analytics may help you categorize reviews quickly. Unfortunately, a spreadsheet and hours of reading and categorizing reviews are generally required for the manual option. Aside from the discomfort of working long hours, we frequently find irregularities due to the physical nature of this labor. So why not create a data categorization and scoring model that you can use to rerun the data daily, weekly, or monthly? Summing Up Companies now have many options to perform text analysis thanks to the rise and availability of unstructured text data. However, simply wanting to use text analytics and predictive analytics isn't enough. You need to first understand where you are as a company from an analytical point of view, and then you need to create a plan on how to embrace these new opportunities. Understanding where you are now can help you determine your next steps and protect you from taking on more than you can handle. Frequently Asked Questions How do companies use text analytics? Text analytics is being used by businesses to analyze consumer comments, evaluate client interactions, assess claims, and uncover compliance concerns. Text analytics software based on natural language processing (NLP) can be used to quickly scan internal legal documents for words and phrases related to finance or fraud. What can text analytics be used for? Text analytics is used to gain deeper insights from unstructured text. For example, it can help you see a pattern or trend. Can business intelligence be improved through text analytics? Text analytics can help you understand trends, patterns, and actionable insights that you can apply to make data-driven decisions. It can be done by combining the findings of text analysis with business intelligence tools to put the numbers into easy-to-understand reports and images.

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Data Science

WebDriver Downloader For Automation

Article | March 13, 2024

Well, if you’re a beginner to automation in Python and you want to setup the development environment for working with Selenium, the first step is to download the webdriver that matches the version of your browser. Now, some developers suggest you download a web driver and turn off the automatic updates for the Edge browser. If you do that, you might miss out on the new features of the browser. If you want to keep the updates on, then you will have to navigate to the page where you download web drivers and search for the appropriate version and download it each time a new update is released. This is where the tool comes in. It automatically fetches the browser version using a small batch file and also fetches the PC architecture and downloads the appropriate version required for your architecture.So, the next time you want to download an updated web driver, you don’t have to search for the driver that matches your browser version. You just have to run this tool and it will be downloaded automatically.Please note that this code downloads the driver for the Edge browser only, but it can be modified for the browser of your choice. Feel free to check out this code, download it, and use it. [Here’s a link to the code] • A link to the demo video is also available, [here] Here are a few things you will have to do before running this code → • Add the path of the edge executable (msedge.exe) to the system path. • Make sure that the path to the edge executable in the batch file matches the path on your system. (You should do this only if you have changed the installation path of the edge.) • Make sure that the batch file is present in the same folder as the code. Good Luck!

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Business Strategy

Role of Edge Analytics in Smarter Computing & Business Growth

Article | May 13, 2022

As businesses are moving towards using more and more data for decision-making, data-driven insights have become the most valuable asset for any company. Today, businesses are feeling the need to process data and access analytics in real-time. In the past, businesses collected data from various IoT devices and sensors, centralized it in a data warehouse or data lake, and then analyzed it to get insights. What if businesses could bypass the data centralization or integration stage entirely and go straight to the analysis stage? This technique is known as edge analytics. This method allows businesses to accomplish autodidact machine learning, improve data security, and reduce data transfer costs. With edge analytics and edge computing, businesses can not only generate more sales but also boost efficiency, enhance productivity, and save costs. Let’s dive deeper into edge analytics, how it complements cloud computing, and why businesses are increasingly opting for it. How can Edge Analytics Complement Cloud Computing? Real-time decision-making is still challenging in IoT systems due to factors like bandwidth, latency, power consumption, cost, and various other considerations. This problem, however, can be addressed by using of artificial intelligence in edge analytics, which also makes cloud computing better. Cloud computing and edge computing are very different approaches and purely depend on the software implemented. These two technologies don’t discredit each other, but rather complement each other. Reduces utilization of data bandwidth or transfer Ends the need for continuous connectivity to the cloud Boosts the real-time performance with faster processing Enhances data security Common Pitfalls to Dodge with Edge Analytics and Edge Computing According to Statista, the number of Internet of Things (IoT) devices will reach 30.9 billion units by 2025. Moreover, the global IoT market is expected to grow to $1.6 trillion by 2025. The cost of transferring and storing all of that data, combined with the lack of a clear advantage, has led many to question whether the IoT is worth the hype. That is why the industry is shifting its focus to edge analytics or computing to fully leverage the data collected from IoT devices. Let’s take a look at some of the challenges that can be addressed with the help of edge analytics: Many industrial IoT solutions require complete uptime. Consumer IoT apps need to process localized events in real-time. A power outage might result in a security breach. Difficulties in adhering to data regulations. Why You Should Employ Edge Analytics? “To remain competitive in the post-cloud era, innovative companies are adopting edge computing due to its endless breakthrough capabilities that are not available at the core.” - David Williams, managing principal at AHEAD. Edge analytics solutions assist businesses wherever data insights are needed at the edge. It can be used in various industries for numerous things, such as retail customer behavior analysis, remote monitoring and maintenance, detecting fraud at ATMs and other financial sites, and monitoring manufacturing and logistical equipment. Here are some reasons you should choose edge analytics and edge computing for your business. Saves Time The prime objective of adopting an edge analytics system is to filter out unnecessary information prior to analysis, and only relevant data is sent via higher-order methods. This saves a lot of time when it comes to processing and uploading data, which makes the complex analytical process done on the cloud a lot more valuable and effective. Reduces Cost The use of edge analytics in IoT cuts the cost of data storage and administration. It also saves operating expenses, bandwidth requirements, and resources spent on data processing. All of these things add up to substantial financial savings. Safeguards Privacy Edge analytics assists in the preservation of privacy when sensitive or confidential data is gathered by a device, such as GPS data or video streams. This sensitive data is pre-processed on-site rather than being transferred to the cloud for processing. This additional step ensures that only data that complies with privacy laws leaves the device for further analysis. Reduces Data Analysis Delay Edge analytics tools enables faster, autonomous decision-making since insights are identified at the data source, preventing latency. It is more effective to analyze data on the defective device itself and shut down the faulty equipment immediately instead of waiting for the data from the equipment to be transferred to a central data analytics environment and waiting for the result. Solves Connectivity Issues By making sure that applications are not disrupted by restricted or interrupted network access, edge analytics in IoT helps to safeguard against possible connectivity disruptions in IoT. It is particularly beneficial in rural areas or for minimizing connection costs when utilizing costly technologies such as cellular networks. Industries Leveraging Edge Analytics Closing Lines Edge analytics is an exciting field, with businesses in the Internet of Things (IoT) sector growing their expenditures every year. Leading vendors are actively investing in this rapidly growing market. Edge analytics provides measurable business advantages in certain industries such as retail, manufacturing, energy, and logistics by decreasing decision latency, scaling out analytics resources, resolving bandwidth issues, and perhaps reducing expenditures. The potential at the edge leads to a very exciting future of smart computing as sensors get more affordable, applications need more real-time analytics, and developing optimized, cost-effective edge algorithms becomes simpler. FAQ What distinguishes edge analytics from regular analytics? Except for the location of the analysis, edge analytics offers remarkably similar capabilities to regular analytics systems. One significant difference is that edge analytics apps can run on edge devices that can have memory, processing power, or communication. What are edge devices, and what are some examples? An edge device serves as an access point to the core networks of businesses or service providers. Some examples include routers, switching devices, integrated access devices (IADs), multiplexers, and other metropolitan area network (MAN) and wide area network (WAN) access devices. What exactly are edge machines? Edge ML is a technology that allows smart devices to analyze data locally through local servers or at the device level. This is done with the help of machine and deep learning algorithms, decreasing dependency on cloud networks.

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Incite Informatics

Incite Informatics is a global provider of software development and consulting services specializing in Big Data (and little data). Our solutions help companies Organize, Visualize, and Mobilize their data for strategic and tactical advantage. With collective experience of over 75 years, we help organizations leverage the exponential and disparate volumes of data they’re collecting every day. Our agile approach produces solutions in weeks versus months, allowing for immediate proof of value to clients...

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Airbyte Racks Up Awards from InfoWorld, BigDATAwire, Built In; Builds Largest and Fastest-Growing User Community

Airbyte | January 30, 2024

Airbyte, creators of the leading open-source data movement infrastructure, today announced a series of accomplishments and awards reinforcing its standing as the largest and fastest-growing data movement community. With a focus on innovation, community engagement, and performance enhancement, Airbyte continues to revolutionize the way data is handled and processed across industries. “Airbyte proudly stands as the front-runner in the data movement landscape with the largest community of more than 5,000 daily users and over 125,000 deployments, with monthly data synchronizations of over 2 petabytes,” said Michel Tricot, co-founder and CEO, Airbyte. “This unparalleled growth is a testament to Airbyte's widespread adoption by users and the trust placed in its capabilities.” The Airbyte community has more than 800 code contributors and 12,000 stars on GitHub. Recently, the company held its second annual virtual conference called move(data), which attracted over 5,000 attendees. Airbyte was named an InfoWorld Technology of the Year Award finalist: Data Management – Integration (in October) for cutting-edge products that are changing how IT organizations work and how companies do business. And, at the start of this year, was named to the Built In 2024 Best Places To Work Award in San Francisco – Best Startups to Work For, recognizing the company's commitment to fostering a positive work environment, remote and flexible work opportunities, and programs for diversity, equity, and inclusion. Today, the company received the BigDATAwire Readers/Editors Choice Award – Big Data and AI Startup, which recognizes companies and products that have made a difference. Other key milestones in 2023 include the following. Availability of more than 350 data connectors, making Airbyte the platform with the most connectors in the industry. The company aims to increase that to 500 high-quality connectors supported by the end of this year. More than 2,000 custom connectors were created with the Airbyte No-Code Connector Builder, which enables data connectors to be made in minutes. Significant performance improvement with database replication speed increased by 10 times to support larger datasets. Added support for five vector databases, in addition to unstructured data sources, as the first company to build a bridge between data movement platforms and artificial intelligence (AI). Looking ahead, Airbyte will introduce data lakehouse destinations, as well as a new Publish feature to push data to API destinations. About Airbyte Airbyte is the open-source data movement infrastructure leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

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Big Data Management

The Modern Data Company Recognized in Gartner's Magic Quadrant for Data Integration

The Modern Data Company | January 23, 2024

The Modern Data Company, recognized for its expertise in developing and managing advanced data products, is delighted to announce its distinction as an honorable mention in Gartner's 'Magic Quadrant for Data Integration Tools,' powered by our leading product, DataOS. “This accolade underscores our commitment to productizing data and revolutionizing data management technologies. Our focus extends beyond traditional data management, guiding companies on their journey to effectively utilize data, realize tangible ROI on their data investments, and harness advanced technologies such as AI, ML, and Large Language Models (LLMs). This recognition is a testament to Modern Data’s alignment with the latest industry trends and our dedication to setting new standards in data integration and utilization.” – Srujan Akula, CEO of The Modern Data Company The inclusion in the Gartner report highlights The Modern Data Company's pivotal role in shaping the future of data integration. Our innovative approach, embodied in DataOS, enables businesses to navigate the complexities of data management, transforming data into a strategic asset. By simplifying data access and integration, we empower organizations to unlock the full potential of their data, driving insights and innovation without disruption. "Modern Data's recognition as an Honorable Mention in the Gartner MQ for Data Integration is a testament to the transformative impact their solutions have on businesses like ours. DataOS has been pivotal in allowing us to integrate multiple data sources, enabling our teams to have access to the data needed to make data driven decisions." – Emma Spight, SVP Technology, MIND 24-7 The Modern Data Company simplifies how organizations manage, access, and interact with data using its DataOS (data operating system) that unifies data silos, at scale. It provides ontology support, graph modeling, and a virtual data tier (e.g. a customer 360 model). From a technical point of view, it closes the gap from conceptual to physical data model. Users can define conceptually what they want and its software traverses and integrates data. DataOS provides a structured, repeatable approach to data integration that enhances agility and ensures high-quality outputs. This shift from traditional pipeline management to data products allows for more efficient data operations, as each 'product' is designed with a specific purpose and standardized interfaces, ensuring consistency across different uses and applications. With DataOS, businesses can expect a transformative impact on their data strategies, marked by increased efficiency and a robust framework for handling complex data ecosystems, allowing for more and faster iterations of conceptual models. About The Modern Data Company The Modern Data Company, with its flagship product DataOS, revolutionizes the creation of data products. DataOS® is engineered to build and manage comprehensive data products to foster data mesh adoption, propelling organizations towards a data-driven future. DataOS directly addresses key AI/ML and LLM challenges: ensuring quality data, scaling computational resources, and integrating seamlessly into business processes. In our commitment to provide open systems, we have created an open data developer platform specification that is gaining wide industry support.

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data.world Integrates with Snowflake Data Quality Metrics to Bolster Data Trust

data.world | January 24, 2024

data.world, the data catalog platform company, today announced an integration with Snowflake, the Data Cloud company, that brings new data quality metrics and measurement capabilities to enterprises. The data.world Snowflake Collector now empowers enterprise data teams to measure data quality across their organization on-demand, unifying data quality and analytics. Customers can now achieve greater trust in their data quality and downstream analytics to support mission-critical applications, confident data-driven decision-making, and AI initiatives. Data quality remains one of the top concerns for chief data officers and a critical barrier to creating a data-driven culture. Traditionally, data quality assurance has relied on manual oversight – a process that’s tedious and fraught with inefficacy. The data.world Data Catalog Platform now delivers Snowflake data quality metrics directly to customers, streamlining quality assurance timelines and accelerating data-first initiatives. Data consumers can access contextual information in the catalog or directly within tools such as Tableau and PowerBI via Hoots – data.world’s embedded trust badges – that broadcast data health status and catalog context, bolstering transparency and trust. Additionally, teams can link certification and DataOps workflows to Snowflake's data quality metrics to automate manual workflows and quality alerts. Backed by a knowledge graph architecture, data.world provides greater insight into data quality scores via intelligence on data provenance, usage, and context – all of which support DataOps and governance workflows. “Data trust is increasingly crucial to every facet of business and data teams are struggling to verify the quality of their data, facing increased scrutiny from developers and decision-makers alike on the downstream impacts of their work, including analytics – and soon enough, AI applications,” said Jeff Hollan, Director, Product Management at Snowflake. “Our collaboration with data.world enables data teams and decision-makers to verify and trust their data’s quality to use in mission-critical applications and analytics across their business.” “High-quality data has always been a priority among enterprise data teams and decision-makers. As enterprise AI ambitions grow, the number one priority is ensuring the data powering generative AI is clean, consistent, and contextual,” said Bryon Jacob, CTO at data.world. “Alongside Snowflake, we’re taking steps to ensure data scientists, analysts, and leaders can confidently feed AI and analytics applications data that delivers high-quality insights, and supports the type of decision-making that drives their business forward.” The integration builds on the robust collaboration between data.world and Snowflake. Most recently, the companies announced an exclusive offering for joint customers, streamlining adoption timelines and offering a new attractive price point. The data.world's knowledge graph-powered data catalog already offers unique benefits for Snowflake customers, including support for Snowpark. This offering is now available to all data.world enterprise customers using the Snowflake Collector, as well as customers taking advantage of the Snowflake-only offering. To learn more about the data quality integration or the data.world data catalog platform, visit data.world. About data.world data.world is the data catalog platform built for your AI future. Its cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful Knowledge Graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has 76 patents and has been named one of Austin’s Best Places to Work seven years in a row.

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Big Data

Airbyte Racks Up Awards from InfoWorld, BigDATAwire, Built In; Builds Largest and Fastest-Growing User Community

Airbyte | January 30, 2024

Airbyte, creators of the leading open-source data movement infrastructure, today announced a series of accomplishments and awards reinforcing its standing as the largest and fastest-growing data movement community. With a focus on innovation, community engagement, and performance enhancement, Airbyte continues to revolutionize the way data is handled and processed across industries. “Airbyte proudly stands as the front-runner in the data movement landscape with the largest community of more than 5,000 daily users and over 125,000 deployments, with monthly data synchronizations of over 2 petabytes,” said Michel Tricot, co-founder and CEO, Airbyte. “This unparalleled growth is a testament to Airbyte's widespread adoption by users and the trust placed in its capabilities.” The Airbyte community has more than 800 code contributors and 12,000 stars on GitHub. Recently, the company held its second annual virtual conference called move(data), which attracted over 5,000 attendees. Airbyte was named an InfoWorld Technology of the Year Award finalist: Data Management – Integration (in October) for cutting-edge products that are changing how IT organizations work and how companies do business. And, at the start of this year, was named to the Built In 2024 Best Places To Work Award in San Francisco – Best Startups to Work For, recognizing the company's commitment to fostering a positive work environment, remote and flexible work opportunities, and programs for diversity, equity, and inclusion. Today, the company received the BigDATAwire Readers/Editors Choice Award – Big Data and AI Startup, which recognizes companies and products that have made a difference. Other key milestones in 2023 include the following. Availability of more than 350 data connectors, making Airbyte the platform with the most connectors in the industry. The company aims to increase that to 500 high-quality connectors supported by the end of this year. More than 2,000 custom connectors were created with the Airbyte No-Code Connector Builder, which enables data connectors to be made in minutes. Significant performance improvement with database replication speed increased by 10 times to support larger datasets. Added support for five vector databases, in addition to unstructured data sources, as the first company to build a bridge between data movement platforms and artificial intelligence (AI). Looking ahead, Airbyte will introduce data lakehouse destinations, as well as a new Publish feature to push data to API destinations. About Airbyte Airbyte is the open-source data movement infrastructure leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

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Big Data Management

The Modern Data Company Recognized in Gartner's Magic Quadrant for Data Integration

The Modern Data Company | January 23, 2024

The Modern Data Company, recognized for its expertise in developing and managing advanced data products, is delighted to announce its distinction as an honorable mention in Gartner's 'Magic Quadrant for Data Integration Tools,' powered by our leading product, DataOS. “This accolade underscores our commitment to productizing data and revolutionizing data management technologies. Our focus extends beyond traditional data management, guiding companies on their journey to effectively utilize data, realize tangible ROI on their data investments, and harness advanced technologies such as AI, ML, and Large Language Models (LLMs). This recognition is a testament to Modern Data’s alignment with the latest industry trends and our dedication to setting new standards in data integration and utilization.” – Srujan Akula, CEO of The Modern Data Company The inclusion in the Gartner report highlights The Modern Data Company's pivotal role in shaping the future of data integration. Our innovative approach, embodied in DataOS, enables businesses to navigate the complexities of data management, transforming data into a strategic asset. By simplifying data access and integration, we empower organizations to unlock the full potential of their data, driving insights and innovation without disruption. "Modern Data's recognition as an Honorable Mention in the Gartner MQ for Data Integration is a testament to the transformative impact their solutions have on businesses like ours. DataOS has been pivotal in allowing us to integrate multiple data sources, enabling our teams to have access to the data needed to make data driven decisions." – Emma Spight, SVP Technology, MIND 24-7 The Modern Data Company simplifies how organizations manage, access, and interact with data using its DataOS (data operating system) that unifies data silos, at scale. It provides ontology support, graph modeling, and a virtual data tier (e.g. a customer 360 model). From a technical point of view, it closes the gap from conceptual to physical data model. Users can define conceptually what they want and its software traverses and integrates data. DataOS provides a structured, repeatable approach to data integration that enhances agility and ensures high-quality outputs. This shift from traditional pipeline management to data products allows for more efficient data operations, as each 'product' is designed with a specific purpose and standardized interfaces, ensuring consistency across different uses and applications. With DataOS, businesses can expect a transformative impact on their data strategies, marked by increased efficiency and a robust framework for handling complex data ecosystems, allowing for more and faster iterations of conceptual models. About The Modern Data Company The Modern Data Company, with its flagship product DataOS, revolutionizes the creation of data products. DataOS® is engineered to build and manage comprehensive data products to foster data mesh adoption, propelling organizations towards a data-driven future. DataOS directly addresses key AI/ML and LLM challenges: ensuring quality data, scaling computational resources, and integrating seamlessly into business processes. In our commitment to provide open systems, we have created an open data developer platform specification that is gaining wide industry support.

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Big Data Management

data.world Integrates with Snowflake Data Quality Metrics to Bolster Data Trust

data.world | January 24, 2024

data.world, the data catalog platform company, today announced an integration with Snowflake, the Data Cloud company, that brings new data quality metrics and measurement capabilities to enterprises. The data.world Snowflake Collector now empowers enterprise data teams to measure data quality across their organization on-demand, unifying data quality and analytics. Customers can now achieve greater trust in their data quality and downstream analytics to support mission-critical applications, confident data-driven decision-making, and AI initiatives. Data quality remains one of the top concerns for chief data officers and a critical barrier to creating a data-driven culture. Traditionally, data quality assurance has relied on manual oversight – a process that’s tedious and fraught with inefficacy. The data.world Data Catalog Platform now delivers Snowflake data quality metrics directly to customers, streamlining quality assurance timelines and accelerating data-first initiatives. Data consumers can access contextual information in the catalog or directly within tools such as Tableau and PowerBI via Hoots – data.world’s embedded trust badges – that broadcast data health status and catalog context, bolstering transparency and trust. Additionally, teams can link certification and DataOps workflows to Snowflake's data quality metrics to automate manual workflows and quality alerts. Backed by a knowledge graph architecture, data.world provides greater insight into data quality scores via intelligence on data provenance, usage, and context – all of which support DataOps and governance workflows. “Data trust is increasingly crucial to every facet of business and data teams are struggling to verify the quality of their data, facing increased scrutiny from developers and decision-makers alike on the downstream impacts of their work, including analytics – and soon enough, AI applications,” said Jeff Hollan, Director, Product Management at Snowflake. “Our collaboration with data.world enables data teams and decision-makers to verify and trust their data’s quality to use in mission-critical applications and analytics across their business.” “High-quality data has always been a priority among enterprise data teams and decision-makers. As enterprise AI ambitions grow, the number one priority is ensuring the data powering generative AI is clean, consistent, and contextual,” said Bryon Jacob, CTO at data.world. “Alongside Snowflake, we’re taking steps to ensure data scientists, analysts, and leaders can confidently feed AI and analytics applications data that delivers high-quality insights, and supports the type of decision-making that drives their business forward.” The integration builds on the robust collaboration between data.world and Snowflake. Most recently, the companies announced an exclusive offering for joint customers, streamlining adoption timelines and offering a new attractive price point. The data.world's knowledge graph-powered data catalog already offers unique benefits for Snowflake customers, including support for Snowpark. This offering is now available to all data.world enterprise customers using the Snowflake Collector, as well as customers taking advantage of the Snowflake-only offering. To learn more about the data quality integration or the data.world data catalog platform, visit data.world. About data.world data.world is the data catalog platform built for your AI future. Its cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful Knowledge Graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has 76 patents and has been named one of Austin’s Best Places to Work seven years in a row.

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