Making the Case for Using Whole Genome Sequencing to Fight Foodborne Illness Globally

We recently traveled to Geneva to join a meeting of the Codex Alimentarius Commission, an international organization that works to protect consumer health and promote fair practices in food trade. There, we participated in a panel discussion on how best to share WGS globally to fight foodborne illnesses and elicit support from the world’s governments in this effort.

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Tech Data

Tech Data Corporation is one of the world’s largest wholesale distributors of technology products, services and solutions. Its advanced logistics capabilities and value added services enable 115,000 resellers to efficiently and cost effectively...

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Data Visualization

Ultimate Checklist for Mastering Aesthetics in Data Visualization

Article | March 15, 2024

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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Data Science

Predictive Analytics Tools for Data-Driven Insights

Article | March 18, 2024

Discover the top predictive analytics tools designed for businesses, showcasing how predictive analytics for business can shape strategic decisions and increase development in 2024. Contents 1 Introduction 2 Benefits of Predictive Analytics Tools: Amplifying CMOs' Strategic Impact 3 Top Predictive Analytics Tools 3.1 Neo4j Graph Data Science 3.2 Board 3.3 H2O 3.4 Wand.ai 3.5 DataRobot 3.6 Neuron7.ai 3.7 Inzata 3.8 Squark 3.9 Findability.AI 3.10 KNIME Software 4 Wrapping Up 1. Introduction Predictive analytics has completely changed how businesses make decisions in today's data-driven environment by using past data to predict future patterns and results. Organizations can now analyze data, spot trends, and provide actionable insights with remarkable accuracy because of a wide range of predictive analytics tools that use advanced algorithms and machine learning approaches. These tools give companies an advantage in strategies in a competitive market, in addition to empowering them to streamline operations and understand client requirements. The benefits of predictive analytics further enhance companies' strategic planning and operational efficiency. 2. Benefits of Predictive Analytics Tools: Predictive analytics systems convert massive amounts of data into useful insights, offering advantages that go far beyond simple data analysis. With the use of these tools, organizations can increase operational effectiveness, gain a competitive advantage, reduce risks, improve fraud detection, and boost sales and marketing tactics. Organizations can predict future trends, make well-informed decisions, and strategically position themselves for success by utilizing predictive analytics. Using predictive analytics tools have innumerable strategic advantages, such as: Optimizing Production and Efficiency Estimate output and inventory levels to predict demand. Minimize disruption by predicting possible failures and streamlining service. Manage delays in the supply chain to prevent unexpected losses. Gaining Competitive Advantage Analyze customer data to understand loss dynamics and identify unique selling propositions. Personalize customer experiences, differentiating from competitors and strengthening relationships. Minimizing Risks Apply predictive analytics for accurate risk assessment in finance and insurance. Employ scenario simulations for effective risk mitigation strategies. Enhancing Fraud Detection Identify behavioral patterns and abnormalities for fraud prevention. Operate in real-time to swiftly respond to fraud, using risk scores to assess transactions. Improving Sales and Marketing Strategies Analyze campaign data to optimize strategies and identify upsell opportunities. Segment customers for targeted marketing, focusing on high-value customers for maximum CLV. 3. Top Predictive Analytics Tools Examining the best predictive analytics tools includes using innovative methods to test how each of them turn raw data into strategic insights. By utilizing advanced algorithms and machine learning, these tools empower businesses to predict patterns and make informed decisions based on data. This synopsis highlights their capacity to improve consumer interaction and streamline processes, underscoring their critical role in attaining success across the industry. 3.1 Neo4j Graph Data Science Overview Neo4j Graph Data Science is designed specifically to leverage data relationships for better projections and insight. It is considered one of the best tools for predictive analysis in data science and machine learning. By making use of graph databases' structural benefits, it gives data scientists the power to quickly understand complex relationships and uncover hidden patterns. This engine makes it easier to include data science initiatives into business data ecosystems and accelerates their transition from development to production. Why Choose Neo4j Graph Data Science? Goes beyond traditional analytics to prioritize data relationships for improved predictability and deeper insights. Ensures smooth interaction with current data ecosystems, speeding up the implementation of projects and the extraction of value. Has a broad range of more than 65 optimized graph algorithms for effective, large-scale data analysis, which speeds up analysis and promotes strategic decision-making. Prioritizes context-first analysis, providing comprehensive insights for a range of business processes and applications. This makes it perfect for anomaly detection, recommendation engines, and other uses. 3.2 Board Overview More than 2,000 enterprises worldwide utilize Board as a leading supplier of intelligent planning solutions, showcasing the advantages of predictive analysis tools. This predictive analytics software is unique as it combines strategy, finance, and operations into one integrated approach to planning, allowing businesses to efficiently manage performance. Board covers a variety of activities, ranging from budgeting and financial consolidation to performance and strategy management. It stands out for its ability to provide combined BI and CPM solutions. Because of its integrated business planning, decision-making skills are improved and a broad view of organizational performance is developed. Leading organizations like Coca-Cola, BASF, Toyota, and H&M, among others, have revolutionized their planning procedures with Board, demonstrating its capacity to provide useful insights and promote corporate success. What Sets Board Apart? Offers integrated solutions for Budgeting, Planning, Forecasting, Financial Consolidation, and more. Provides a consolidated view of performance across various planning processes for improved decision-making. Delivers data-derived insights to inform decisions and propel business success. Operates in over 25 countries, with implementations in over 100, ensuring worldwide accessibility and support. Demonstrated success in diverse industries, affirming its capability to add significant business value. Board has a track record of successful implementations and transformations across various industries, demonstrating its effectiveness in driving business value. 3.3 H2O.ai Overview As a top provider of AI clouds, H2O.ai is dedicated to expanding access to AI and predictive analytics for experts through the collaborative AI movement. H2O.ai is a company that specializes in the analysis of both structured and unstructured data, including documents and motion pictures. It offers innovative tools including Document AI and Hydrogen Torch. The organization fosters creativity and expedites the resolution of intricate business problems through the use of its AI Cloud. H2O.ai is used by more than 20,000 companies worldwide, including half of the Fortune 500. Moreover, H2O.ai's commitment to making a beneficial impact on society is demonstrated by its focus on Responsible AI and its AI for Good program. Key Features of H2O H2O-3: A scalable, open-source platform supporting numerous ML algorithms for comprehensive data analysis. H2O Driverless AI: Streamlines data science workflows by automating critical tasks, enhancing efficiency and productivity. H2O Q: Makes AI accessible to a broader audience, offering automatic insights and predictions for business users. Why Choose H2O? H2O.ai provides enterprise customers with a suite of AI and machine learning platforms, including H2O-3, H2O Driverless AI, and H2O Q, catering to diverse business needs and user expertise levels. With a client roster that includes leading global organizations across various sectors, H2O.ai has earned the trust of industry giants like AT&T, PayPal, and Goldman Sachs, showcasing its reliability and effectiveness in driving business outcomes. H2O.ai boasts a community of over 30 Kaggle Grandmasters, demonstrating the platform's appeal to top-tier machine learning practitioners and data scientists. 3.4 Wand.ai Overview Wand.ai is an innovative platform designed to make AI technology more accessible to data analysts and business users. Its main goal is to enable organizations to create effective, valuable solutions. Wand.ai facilitates problem-solving with ease, creating a collaborative, measurable, and scalable environment for both individuals and enterprises. Why Choose Wand.ai? Wand.ai is designed to make AI accessible to all users, regardless of skill level, by removing technological obstacles. It facilitates well-informed decision-making by acting as a user-friendly platform for both seasoned data analysts and business executives. Wand.ai acts as an innovation catalyst by creating a cooperative atmosphere where people can share ideas and work together to solve problems. This gives users the power to encourage creativity and advance the industry as a whole. Wand.ai is dedicated to transparency and reliability in data processing while upholding ethical AI ideals. It ensures ethical technology use by incorporating strategies to avoid biases and promote fairness in AI models. 3.5 DataRobot Overview DataRobot presents itself as an advanced enterprise artificial intelligence platform that uses an end-to-end automated process to change data science. It focuses on building, implementing, and managing machine learning models, allowing businesses to increase value through scalable AI solutions and ongoing performance enhancement. By combining the latest developments with the best AI implementation, training, and support services, DataRobot enables businesses of all sizes, in a variety of sectors, and with a limited budget to use AI to achieve better business outcomes. Key Features of DataRobot DataRobot places a high priority on adopting AI in a value-driven manner, transforming concepts into practical results. With AI, businesses can use technology to accomplish quantifiable goals, increase profitability, accomplish corporate objectives, or progress society. With more than ten years of outstanding experience in AI innovation, DataRobot provides unparalleled knowledge. Because of its well-established track record in AI application and its extensive training and support services, businesses can rely on DataRobot to execute AI projects successfully. DataRobot offers an open, end-to-end AI lifecycle platform as a full solution. This makes it easier for businesses to quickly build, safely run, and confidently manage their AI operations, which maximizes the productivity of AI processes everywhere. With its generative and predictive analytics capabilities, DataRobot helps businesses realize the full potential of artificial intelligence, overcoming major obstacles and promoting innovation. 3.6 Neuron7.ai Overview Neuron7.ai presents itself as a unique solution designed to improve field service and client operations by means of quick issue resolution. By analyzing a variety of data sources, including product manuals, prior cases, and technician notes, it applies modern artificial intelligence and natural language processing to create a comprehensive ‘resolution system of record’. Making use of both structured and unstructured service data as well as the insights of high-performing individuals, this technology efficiently evaluates and fixes product issues within the parameters of current customer service frameworks. By continuously learning, Neuron7.ai develops and provides resolution intelligence that can be accessed through bots, CRM integration, search, and other self-service, call center, and field technician capabilities. Reasons to Opt for Neuron7.ai Employs AI and NLP to analyze extensive service data quickly, offering precise diagnostics and resolution recommendations. Enhances service operations by reducing call volumes, increasing first-time fix rates, and shortening call durations. Captures and applies the knowledge of the organization's best performers, enhancing service quality and outcomes. Neuron7.ai's Distinct Features Generates step-by-step guidance for resolving issues, tailored for complex service environments. Analyzes a mix of structured and unstructured data from various sources, creating a dynamic and learning Smart Resolution Repository. Integrates effortlessly with current CRM systems, communication platforms, and service workflows, delivering insights within familiar tools. 3.7 Inzata Overview Inzata is an advanced platform for data analytics designed to facilitate the process of combining, examining, and evaluating data from many sources at a high volume and speed. This platform sets itself apart with its AI-driven data modelling and unique analytics engine, which allow raw data to be transformed into actionable insights in less than 30 minutes. It can quickly load, combine, prepare, and model unstructured and raw data into large-scale enterprise data models, producing insightful real-time analytics and eye-catching visuals. Proficient in rapidly generating comprehensive perspectives of an organization's data from many platforms, Inzata establishes a novel benchmark for big data analytics. What Sets Inzata Apart? Inzata streamlines the data analytics workflow by providing a comprehensive solution that covers all stages, from extraction to visualization and distribution, removing the need for different tools. A broad range of users, from beginners to expert data scientists, can benefit from the platform's easy setup and usage design. Inzata promises quick insight production, so consumers may start using their data within days. This greatly cuts down on the wait times that are often involved in data analysis. It increases the platform's relevance and usefulness by providing specialized functionality for industries like government and education. Inzata offers significant value while competing on features with more expensive options, despite its low price. 3.8 Squark Overview Squark simplifies predictive analytics by offering a platform that helps business users quickly and easily leverage AI's capabilities without requiring technical expertise. Its user-friendly interface, automated model comparison, and extensive predictive analytics enable businesses to effectively make data-driven decisions. Squark stands out as a potent predictive analytics solution in the competitive corporate world due to its dedication to democratizing AI and its focus on quick insight delivery. Core Features of Squark Squark simplifies the predictive modeling process, enabling users to link data and create models effortlessly, thus democratizing AI for broader organizational access. It stands out for its ability to swiftly generate, compare, and select the optimal models for data analysis, facilitating quick, actionable insights for decision-making. Squark breaks the norm of requiring data scientist expertise for predictive analytics, empowering business users to identify trends and strategize confidently. Supports diverse analytics tasks such as binary and multiclass classification, regression, and more, catering to various business needs. 3.9 Findability Sciences Overview Leading the way in the creation of complex big data, cognitive, and predictive analytics solutions, Findability Sciences serves a wide range of clients in the banking, insurance, financial services, retail, manufacturing, healthcare, and transportation sectors. Findability Sciences, a prominent member of the Soft Bank Group, has established itself as a key strategic partner for companies looking to use data-driven insights to improve operational efficiency. Its flagship product, FP Predict+, is an example of a fully automated, self-learning prediction engine intended to simplify AI integration into corporate processes and make it easier for decision-makers to provide insightful prediction reports. Unique Selling Points of Findability Sciences Findability Sciences acts as a critical partner in transforming data into actionable intelligence, steering companies through complexity towards innovation and unmatched ROI. Offering a range of modern AI products like Findability.AI, Findability.DSL, Findability.INSIDE, and Findability.Accelerate, position companies to excel as data-driven entities. This leading-edge prediction engine automates and simplifies prediction report generation, delivering rapid, accurate insights by processing user-uploaded data against specified variables. Findability Sciences customizes its solutions to satisfy industry-specific requirements because of its extensive knowledge of multiple industries, including BFSI, manufacturing, and healthcare. 3.10 KNIME Software Overview KNIME Software is a complete platform designed to help a wide range of data users build, cooperate, and improve their data science skills. It facilitates the development of analytical models, their application, and the dissemination of findings across an enterprise, supporting the full data science lifecycle. KNIME is designed to bridge the gap between advanced analytics and dashboard functions. Its user-friendly interface is suitable for all individuals involved in data operations. Reasons for Leveraging KNIME Software KNIME enables seamless connection to diverse data sources, supports various analytical techniques, and accommodates coding in multiple languages, catering to the needs of data specialists, business and domain experts, end-users, as well as MLOps and IT teams. Its low-code/no-code interface streamlines the insight generation process, removing the necessity for in-depth coding knowledge. This allows for the creation of automated workflows, model validation, and visual analysis documentation effortlessly. The platform enhances team collaboration by offering shareable workflows, blueprints, and workflow samples, fostering a cooperative environment among data scientists, business analysts, and end-users. KNIME extends comprehensive assistance throughout the data science lifecycle, covering data integration, predictive modeling, statistics, workflow management, reporting, and beyond. By offering flexibility in data integration, analytical methodologies, and deployment strategies, KNIME enables organizations to adapt swiftly to business dynamics and incorporate advanced AI and machine learning techniques. 4. Wrapping Up Adopting comprehensive predictive analytics tools is becoming more and more important for companies looking to take the lead in innovation and gain a competitive advantage. These tools will be crucial in determining how corporate plans are developed in the future since they are necessary for improving decision-making and applying strategic insights. Predictive analytics is becoming increasingly essential, so it's necessary for organizations to stay up to date on emerging trends and be adept in these tools so that they can take advantage of new opportunities and promote long-term success. Aligning with the events of predictive tools also provides priceless insights into future developments, highlighting the crucial role that these tools will play in overcoming corporate issues in the future.

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Business Intelligence, Big Data Management, Big Data

How Artificial Intelligence Is Transforming Businesses

Article | July 4, 2023

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives.AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity.However, AI has not only transformed administrative processes and freed up more time for companies, it has also contributed to some ground-breaking moments in business, being a must-have for many in order to keep up with the competition.

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DRIVING DIGITAL TRANSFORMATION WITH RPA, ML AND WORKFLOW AUTOMATION

Article | February 11, 2020

The latest pace of advancements in technology paves way for businesses to pay attention to digital strategy in order to drive effective digital transformation. Digital strategy focuses on leveraging technology to enhance business performance, specifying the direction where organizations can create new competitive advantages with it. Despite a lot of buzz around its advancement, digital transformation initiatives in most businesses are still in its infancy.Organizations that have successfully implemented and are effectively navigating their way towards digital transformation have seen that deploying a low-code workflow automation platform makes them more efficient.

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Spotlight

Tech Data

Tech Data Corporation is one of the world’s largest wholesale distributors of technology products, services and solutions. Its advanced logistics capabilities and value added services enable 115,000 resellers to efficiently and cost effectively...

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Business Intelligence, Big Data Management, Business Strategy

MarkLogic 11 Unlocks Value of Complex Data with Industry’s Most Powerful Multi-Model Data Platform

MarkLogic | December 16, 2022

MarkLogic Corporation, a leader in complex data and metadata management and portfolio company of Vector Capital, today announced new features delivered in MarkLogic 11, the latest release of its flagship MarkLogic Server product, that further enhance MarkLogic as a unified data platform with analytics, simplified deployment, management, and auditing—including in the cloud. Data fuels innovation and growth, but organizations are challenged to create business value from a constant stream of new data arriving in real time and from multiple sources. The MarkLogic data platform enables customers to connect and effectively leverage data and metadata as a single data resource. Data coupled with everything known about it means faster insights that accelerate innovation. MarkLogic 11 adds features that enable organizations to analyze and integrate multi-model data in new ways, and to make that data more accessible to developers and endpoints. Support for the increasingly popular GraphQL specification, for example, lets organizations expose multi-model data to BI tooling, and enhanced OpenGIS and GeoSPARQL support makes it easier to query — and tap into new workloads for — geospatial data. MarkLogic 11 also improves the platform’s manageability, auditability, and observability. “MarkLogic 11 is the best data platform for complex data and metadata management, delivering unmatched data agility that will enable customers to get more value from their data and, in turn, make better, more informed decisions. “With the acquisition of Smartlogic last year, we’ve entered a new era for MarkLogic focused on removing complexity and being the single place for breaking down data and knowledge silos." Jeff Casale, CEO of MarkLogic MarkLogic 11 builds on the company’s complex data and metadata management capabilities with: Extended Platform Capabilities: MarkLogic exposes data in a way that's readily usable by existing products. MarkLogic 11 improves interoperability with data ecosystems through support for industry standards such as GraphQL, which eases exposure of multi-model data to BI tooling; OpenGIS and GeoSPARQL, which make it even easier to query geospatial data; and OAuth, which provides a new option for external authentication. Enhanced Multi-model Analytics: Connecting and managing multi-model data is important, but the value of that data cannot be fully exploited until it’s delivered for consumption to the audiences that need it most. The MarkLogic Optic API, introduced in MarkLogic 9, has been extended in MarkLogic 11, including added capabilities for the delivery of multi-model data to BI tools like Tableau and improved support for large analytics, reporting, geospatial data/analysis, and/or export queries with external sort and joins. Flexible Deployment and Easier Management: MarkLogic 11 includes tools that help customers manage growing volumes of data by handling larger result sets at query time and using new adaptive memory algorithms. Support for Docker and Kubernetes enables organizations to deploy MarkLogic clusters in cloud-neutral, containerized environments that use best practices to ensure success. Improved Observability, Auditability, and Manageability: MarkLogic 11 provides enhanced HA with storage failure detection, ensuring availability in the face of storage device/system failures and cloud availability zone failures or brownouts. MarkLogic 11 also enables organizations to monitor the overall health of the system and respond more quickly to failures, and an updated Section 508-compliant UI improves accessibility for all users. The MarkLogic platform and the improvements introduced in MarkLogic 11 are designed to enable organizations to achieve true data agility that lets you quickly and easily respond to change. MarkLogic is hosting a virtual launch event on December 15 at 8 a.m. PT to discuss the new features in detail. The recording will be available on demand. About MarkLogic The MarkLogic data platform gives Global 2000 and public sector organizations a faster, trusted way to unlock value from complex data and achieve data agility. The unified data platform enables organizations to securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data.

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Big Data Management, Data Architecture, Business Strategy

Orion Governance Partners with Qlik to Help Enterprises Solve Their Most Complex Data Challenges

Orion Governance | October 21, 2022

Orion Governance, a leader in Metadata Management solutions and the provider of the Enterprise Information Intelligence Graph (EIIG), the foundation for a self-defined data fabric, announced today it has entered into a technology partnership with Qlik.® This partnership will integrate Orion’s EIIG solution with Qlik Cloud to help enterprises tackle their most challenging data problems. “Orion is thrilled to be a Qlik technology partner. The integration of our EIIG platform enables Qlik users to see key data metrics such as quality score, value score, and trust score right in their Qlik apps. Users can dive into the EIIG platform to see data lineage and get more insight by leveraging metadata analytics such as impact analysis. EIIG's Qlik extension also delivers augmented data quality and allows users to tag all PII data assets right in Qlik apps for data privacy and regulatory compliance.” Niu Bai, Head of Global Business Development at Orion Governance Orion’s Enterprise Information Intelligence Graph (EIIG) automatically ingests metadata from more than 60 technologies to weave the most comprehensive knowledge graph in the industry and build a self-defined data fabric. This data fabric provides the visualizations necessary to catalog, trace, trust and analyze data while promoting confidence, transparency, and governance of the enterprise landscape. “We look forward to customers being able to augment their Qlik analytics experience with Orion’s data metrics to drive more understanding and trust in their data for increased action and impact,” said Josh Good, Vice President, Product Marketing at Qlik. About Orion Governance Orion Governance was founded in 2017 with a mission to disrupt the information management space. The company’s Enterprise Information Intelligence Graph (EIIG) is a cloud based, vendor/technology agnostic SaaS platform that provides the most comprehensive metadata knowledge graph in the industry. The EIIG has persona based visualizations to create a self-defined data fabric with detailed cataloging, traceability, data quality and analytics capabilities; the result of ML/AI automation that enables enterprises to take control of their complex IT landscape in near real-time. Customers include Global 5000 companies in banking insurance, retail, healthcare, telecom and information technology that are challenged by a variety of complexities; regulatory, cloud migration, transformational and silo based constraints. Orion is headquartered in San Mateo, California, with global offices in other US cities, Estonia, Sweden, Singapore, Germany and India.

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Big Data Management

Alation Named to Constellation ShortList for Metadata Management, Data Cataloging, & Data Governance for Second Consecutive Year

Alation | August 19, 2021

Alation Inc., the leader in enterprise data catalogs, today announced that it has been selected to the Constellation ShortList™ for Metadata Management, Data Cataloging & Data Governance in Q3 2021. The technology vendors and service providers included in this program deliver critical transformation initiative requirements for early adopter and fast follower organizations. “The ShortList™ is the first place business and technology leaders go for vendor selection, based on the collective view of Constellation’s clients, partners, and analysts who are on the front lines of understanding the technology landscape,” noted R “Ray” Wang, chairman and founder at Constellation Research. “Our analysts know that vendor selection is more of an art than a science and that the listed vendors all play a special role by industry, geography, and size of company. We know these are tough decisions and we hope this helps buyers get a head start. For those who want a detailed analysis, we are there to help with short advisory calls." Additionally, Alation customer Texas Mutual Insurance Company (TXM), the state's leading workers' compensation provider, has been named a finalist in the prestigious 2021 Constellation SuperNova Awards in the digital safety, governance, and privacy efforts category for its implementation of Alation. The SuperNova Awards recognize individuals and teams who are prioritizing disruptive technology and transforming their organizations with digital initiatives, achieving remarkable results, including competitive advantage, cost savings, and quantifiable improvements in agility. Customers like TXM have leaned on Alation to ensure the data behind each analysis is trustworthy and enable them to make critical business decisions rapidly. “It’s time to rethink data governance,” said Satyen Sangani, CEO and co-founder of Alation. “If companies are going to be agile in their decision-making, they need their data to be similarly responsive and agile. They also need to drive down the cost of compliance and regulation. A strong data governance program accelerates strategic decision-making and drives efficiency by putting governance capabilities into the day-to-day workflows of every employee.” Voting for the Constellation SuperNova Awards is open to the public. Polls close in a few short weeks on Sept. 3, 2021. To support TXM, click here to vote. This recognition comes on the heels of Alation being named a Leader in “The Forrester Wave™: Data Governance Solutions, Q3 2021” report and being named Snowflake’s Data Governance Partner of the Year. About Alation Alation is the leader in enterprise data intelligence solutions including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 280 enterprises drive data culture, improve decision making, and realize business outcomes with Alation including AbbVie, American Family Insurance, Cisco, Exelon, Fifth Third Bank, Finnair, Munich Re, NASDAQ, New Balance, Parexel, Pfizer, US Foods and Vistaprint. Headquartered in Silicon Valley, Alation was named to Inc. Magazine’s Best Workplaces list and is backed by leading venture capitalists including Blackstone, Costanoa, Data Collective, Dell Technologies, Icon, ISAI Cap, Riverwood, Salesforce, Sanabil, Sapphire, and Snowflake Ventures.

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Business Intelligence, Big Data Management, Business Strategy

MarkLogic 11 Unlocks Value of Complex Data with Industry’s Most Powerful Multi-Model Data Platform

MarkLogic | December 16, 2022

MarkLogic Corporation, a leader in complex data and metadata management and portfolio company of Vector Capital, today announced new features delivered in MarkLogic 11, the latest release of its flagship MarkLogic Server product, that further enhance MarkLogic as a unified data platform with analytics, simplified deployment, management, and auditing—including in the cloud. Data fuels innovation and growth, but organizations are challenged to create business value from a constant stream of new data arriving in real time and from multiple sources. The MarkLogic data platform enables customers to connect and effectively leverage data and metadata as a single data resource. Data coupled with everything known about it means faster insights that accelerate innovation. MarkLogic 11 adds features that enable organizations to analyze and integrate multi-model data in new ways, and to make that data more accessible to developers and endpoints. Support for the increasingly popular GraphQL specification, for example, lets organizations expose multi-model data to BI tooling, and enhanced OpenGIS and GeoSPARQL support makes it easier to query — and tap into new workloads for — geospatial data. MarkLogic 11 also improves the platform’s manageability, auditability, and observability. “MarkLogic 11 is the best data platform for complex data and metadata management, delivering unmatched data agility that will enable customers to get more value from their data and, in turn, make better, more informed decisions. “With the acquisition of Smartlogic last year, we’ve entered a new era for MarkLogic focused on removing complexity and being the single place for breaking down data and knowledge silos." Jeff Casale, CEO of MarkLogic MarkLogic 11 builds on the company’s complex data and metadata management capabilities with: Extended Platform Capabilities: MarkLogic exposes data in a way that's readily usable by existing products. MarkLogic 11 improves interoperability with data ecosystems through support for industry standards such as GraphQL, which eases exposure of multi-model data to BI tooling; OpenGIS and GeoSPARQL, which make it even easier to query geospatial data; and OAuth, which provides a new option for external authentication. Enhanced Multi-model Analytics: Connecting and managing multi-model data is important, but the value of that data cannot be fully exploited until it’s delivered for consumption to the audiences that need it most. The MarkLogic Optic API, introduced in MarkLogic 9, has been extended in MarkLogic 11, including added capabilities for the delivery of multi-model data to BI tools like Tableau and improved support for large analytics, reporting, geospatial data/analysis, and/or export queries with external sort and joins. Flexible Deployment and Easier Management: MarkLogic 11 includes tools that help customers manage growing volumes of data by handling larger result sets at query time and using new adaptive memory algorithms. Support for Docker and Kubernetes enables organizations to deploy MarkLogic clusters in cloud-neutral, containerized environments that use best practices to ensure success. Improved Observability, Auditability, and Manageability: MarkLogic 11 provides enhanced HA with storage failure detection, ensuring availability in the face of storage device/system failures and cloud availability zone failures or brownouts. MarkLogic 11 also enables organizations to monitor the overall health of the system and respond more quickly to failures, and an updated Section 508-compliant UI improves accessibility for all users. The MarkLogic platform and the improvements introduced in MarkLogic 11 are designed to enable organizations to achieve true data agility that lets you quickly and easily respond to change. MarkLogic is hosting a virtual launch event on December 15 at 8 a.m. PT to discuss the new features in detail. The recording will be available on demand. About MarkLogic The MarkLogic data platform gives Global 2000 and public sector organizations a faster, trusted way to unlock value from complex data and achieve data agility. The unified data platform enables organizations to securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data.

Read More

Big Data Management, Data Architecture, Business Strategy

Orion Governance Partners with Qlik to Help Enterprises Solve Their Most Complex Data Challenges

Orion Governance | October 21, 2022

Orion Governance, a leader in Metadata Management solutions and the provider of the Enterprise Information Intelligence Graph (EIIG), the foundation for a self-defined data fabric, announced today it has entered into a technology partnership with Qlik.® This partnership will integrate Orion’s EIIG solution with Qlik Cloud to help enterprises tackle their most challenging data problems. “Orion is thrilled to be a Qlik technology partner. The integration of our EIIG platform enables Qlik users to see key data metrics such as quality score, value score, and trust score right in their Qlik apps. Users can dive into the EIIG platform to see data lineage and get more insight by leveraging metadata analytics such as impact analysis. EIIG's Qlik extension also delivers augmented data quality and allows users to tag all PII data assets right in Qlik apps for data privacy and regulatory compliance.” Niu Bai, Head of Global Business Development at Orion Governance Orion’s Enterprise Information Intelligence Graph (EIIG) automatically ingests metadata from more than 60 technologies to weave the most comprehensive knowledge graph in the industry and build a self-defined data fabric. This data fabric provides the visualizations necessary to catalog, trace, trust and analyze data while promoting confidence, transparency, and governance of the enterprise landscape. “We look forward to customers being able to augment their Qlik analytics experience with Orion’s data metrics to drive more understanding and trust in their data for increased action and impact,” said Josh Good, Vice President, Product Marketing at Qlik. About Orion Governance Orion Governance was founded in 2017 with a mission to disrupt the information management space. The company’s Enterprise Information Intelligence Graph (EIIG) is a cloud based, vendor/technology agnostic SaaS platform that provides the most comprehensive metadata knowledge graph in the industry. The EIIG has persona based visualizations to create a self-defined data fabric with detailed cataloging, traceability, data quality and analytics capabilities; the result of ML/AI automation that enables enterprises to take control of their complex IT landscape in near real-time. Customers include Global 5000 companies in banking insurance, retail, healthcare, telecom and information technology that are challenged by a variety of complexities; regulatory, cloud migration, transformational and silo based constraints. Orion is headquartered in San Mateo, California, with global offices in other US cities, Estonia, Sweden, Singapore, Germany and India.

Read More

Big Data Management

Alation Named to Constellation ShortList for Metadata Management, Data Cataloging, & Data Governance for Second Consecutive Year

Alation | August 19, 2021

Alation Inc., the leader in enterprise data catalogs, today announced that it has been selected to the Constellation ShortList™ for Metadata Management, Data Cataloging & Data Governance in Q3 2021. The technology vendors and service providers included in this program deliver critical transformation initiative requirements for early adopter and fast follower organizations. “The ShortList™ is the first place business and technology leaders go for vendor selection, based on the collective view of Constellation’s clients, partners, and analysts who are on the front lines of understanding the technology landscape,” noted R “Ray” Wang, chairman and founder at Constellation Research. “Our analysts know that vendor selection is more of an art than a science and that the listed vendors all play a special role by industry, geography, and size of company. We know these are tough decisions and we hope this helps buyers get a head start. For those who want a detailed analysis, we are there to help with short advisory calls." Additionally, Alation customer Texas Mutual Insurance Company (TXM), the state's leading workers' compensation provider, has been named a finalist in the prestigious 2021 Constellation SuperNova Awards in the digital safety, governance, and privacy efforts category for its implementation of Alation. The SuperNova Awards recognize individuals and teams who are prioritizing disruptive technology and transforming their organizations with digital initiatives, achieving remarkable results, including competitive advantage, cost savings, and quantifiable improvements in agility. Customers like TXM have leaned on Alation to ensure the data behind each analysis is trustworthy and enable them to make critical business decisions rapidly. “It’s time to rethink data governance,” said Satyen Sangani, CEO and co-founder of Alation. “If companies are going to be agile in their decision-making, they need their data to be similarly responsive and agile. They also need to drive down the cost of compliance and regulation. A strong data governance program accelerates strategic decision-making and drives efficiency by putting governance capabilities into the day-to-day workflows of every employee.” Voting for the Constellation SuperNova Awards is open to the public. Polls close in a few short weeks on Sept. 3, 2021. To support TXM, click here to vote. This recognition comes on the heels of Alation being named a Leader in “The Forrester Wave™: Data Governance Solutions, Q3 2021” report and being named Snowflake’s Data Governance Partner of the Year. About Alation Alation is the leader in enterprise data intelligence solutions including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 280 enterprises drive data culture, improve decision making, and realize business outcomes with Alation including AbbVie, American Family Insurance, Cisco, Exelon, Fifth Third Bank, Finnair, Munich Re, NASDAQ, New Balance, Parexel, Pfizer, US Foods and Vistaprint. Headquartered in Silicon Valley, Alation was named to Inc. Magazine’s Best Workplaces list and is backed by leading venture capitalists including Blackstone, Costanoa, Data Collective, Dell Technologies, Icon, ISAI Cap, Riverwood, Salesforce, Sanabil, Sapphire, and Snowflake Ventures.

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