BIG DATA MANAGEMENT

Amazon Web Services Launches Three New Analytics Capabilities

Amazon Web Services | December 02, 2020

Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. organization (NASDAQ: AMZN), reported three new analytics abilities that drastically improve the exhibition of Amazon Redshift information stockrooms, make it altogether simpler for clients to move and join information across information stores, and make it a lot more straightforward for end-clients to get more an incentive from their business information utilizing machine learning.

AQUA for Amazon Redshift accelerates querying with an innovative new hardware-accelerated cache that brings the compute to the storage and delivers up to 10x better query performance than any other cloud data warehouse, with general availability coming in January 2021.

AWS Glue Elastic Views helps developers build applications that use data from multiple data stores with materialized views that automatically combine and replicate data across storage, data warehouses, and databases.

Amazon QuickSight Q delivers a machine learning-powered capability for Amazon QuickSight that gives users the ability to use natural language expressions to ask business questions in the Amazon QuickSight Q search bar and receive highly accurate answers in seconds.

More information is made each hour today than in a whole year only 20 years back. Indeed, the measure of information made throughout the following three years will be more than the measure of information made in the course of recent years. The same old instruments simply won't work in this new universe of information. AWS clients utilize a wide assortment of analytics apparatuses for various use cases, including Amazon Athena for serverless questioning, Amazon Elasticsearch Service for looking and envisioning log information, Amazon Kinesis for handling ongoing information streams, Amazon Redshift for information warehousing, and Amazon EMR for running Apache Spark, Hive, Presto, and other enormous information systems. These administrations offer AWS clients the correct apparatus for their requirements. The new analytics capacities reported today expand on this establishment and give quicker, more financially savvy, and more open information examination over the entirety of a client's information stores.

“With the capabilities we're announcing today, we're delivering an order-of-magnitude performance improvement for Amazon Redshift, new flexible ways to more easily move data between data stores, and the ability for customers to ask natural language questions in their business dashboards and receive answers in seconds,” said Rahul Pathak, VP, Analytics, AWS. “These capabilities will meaningfully change the speed and ease of use with which customers can get value from their data at any scale.”

About Amazon Web Services

For 14 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 175 fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 77 Availability Zones (AZs) within 24 geographic regions, with announced plans for 15 more Availability Zones and five more AWS Regions in India, Indonesia, Japan, Spain, and Switzerland. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.

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BUSINESS INTELLIGENCE

Avantive Solutions Selects Hitachi Solutions America to Optimize Customer Experience with Advanced Data Analytics

Avantive Solutions | January 05, 2022

Avantive Solutions, a global technology and business process outsourcer (BPO) specializing in innovative customer experience (CX), strategic sales, and digital marketing solutions, today announced a partnership with Hitachi Solutions America, Ltd., a leading provider of global industry solutions powered by cloud services from Microsoft, to enhance their data analytics capabilities through improved performance of Microsoft Power BI with Azure Databricks. This will allow Avantive to drive best-in-class performance using machine learning and artificial intelligence solutions. "The goal of our partnership is to take our clients' results to the next level. This will allow Avantive to use optimized technology to increase our contacts, conversions, as well as improve our customers' reachability and level of trust." Amy Brennan, Avantive's VP of Operational Excellence As Avantive's digital transformation partner, Hitachi Solutions will develop a customized data platform — fueled by machine learning (ML) and artificial intelligence (AI) — that will let Avantive leverage the power of cutting-edge analytics and customer insights. "With the ML and analytics scalability of Microsoft Azure and Databricks, Avantive will be able to collect and aggregate data in real time and make efficient moment-by-moment adjustments to live customer outreaches. This capability will markedly improve their contacts, close rates, and performance," explained John Young, Hitachi Solutions' VP of Data Science and Machine Learning. The Avantive team is focused on how they can control and leverage data to make interactions more personalized and relevant for their clients. This is what sets them apart from the competition — using data-driven insights to successfully reach their customers and communicate with them on a more meaningful level. "Hitachi Solutions is helping us to not just append the data, but to find the trends in the data in the blink of an eye. At 5:00pm on Tuesday, we will know which households in which state to call, and we will have the ability to personalize our conversations based on the demographic data we can access with speed and security," said Brennan. Avantive will implement new insights, utilizing multi-faceted demographic appends, allowing greater ability to reach their customers. By providing new data analysis speed and capacity, they will supply clients with greater trending insights and, ultimately, personalized call scripts. Avantive chose Hitachi Solutions as their partner due to the relationship CEO Frank Pettinato built with the Hitachi Solutions team over the past two years. Already using Power BI and Azure, Avantive sought to collaborate further with a Microsoft solutions and technology leader. "Hitachi Solutions impressed us with their team and the comprehensive nature of the solution they provided based on our market position. We've been very impressed with their nimbleness to come up with this unique solution for our company," said Pettinato. While the project is well underway, Brennan is working daily with the Hitachi Solutions team on delivery, review, and developing the release of this cutting-edge technology in the first quarter. "Our goal is to drive strong, measurable performance for our clients. We are already a market leader in insights and innovation. We believe Hitachi Solutions will make that capability richer, allowing us to provide additional actionable insights and placing Avantive Solutions several years ahead of market competitors," added Brennan. About Avantive Solutions Avantive Solutions, founded in 1988, is a Purpose-Driven global technology and business process outsourcer (BPO) specializing in designing, building, and delivering innovative customer experience (CX), strategic sales, and digital marketing solutions. The Company's Omni-Touch™ integrated solution provides actionable insights and drives desired outcomes through advanced analytics, artificial intelligence (AI), and machine learning platforms. Avantive Solutions partners with the world's most recognized brands in communications and media, healthcare, energy, financial technology (Fintech), and eCommerce. To learn more about how Avantive Solutions is bringing purpose to the customer experience, go to avantivesolutions.com. About Hitachi Solutions America, Ltd. Hitachi Solutions America, Ltd. helps its customers successfully compete with the largest global enterprises using powerful, easy-to-use, and affordable industry solutions built on Microsoft cloud services. Hitachi Solutions America provides global capabilities with regional offices in the United States, Canada, Europe, India/Middle East, Japan, and Asia Pacific. To learn more about how Hitachi Solutions can support your organization leveraging Microsoft solutions and technologies, go to global.

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BIG DATA MANAGEMENT

Civis Analytics Launches Toolkit for a Data-Driven COVID Vaccine Campaign

Civis Analytics | February 23, 2021

Civis Analytics, a data science firm innovating at the intersection of public good and scientific best practices, today announced the launch of its COVID Vaccine Campaign Toolkit. This resource hub includes key information for organizations looking to use data to inform persuasive and equitable COVID vaccination outreach. The toolkit provides guidance on each aspect of an outreach campaign that requires a specific, tailored approach. These include: • Messaging and messenger: Results from scientific experiments to guide messaging and spokespeople, so the most persuasive language is used for each audience. This includes new research on employer-specific messaging, conducted in partnership with the U.S. Chamber of Commerce Foundation. Crystal Son, MPH, Director of Healthcare Analytics at Civis Analytics, also shares examples of counterintuitive findings, tangible advice for any vaccine campaign team, and comparisons to Civis research on other vaccine messaging. • Resource allocation: An interactive vaccine hesitancy map that visualizes which U.S. counties are most likely to need additional intervention to drive up vaccination rates. This map can guide groups that need to determine where to focus education or outreach efforts. • Process: Leveraging best practices from recent 2020 Census outreach campaigns, Civis outlines a five-step process organizations can follow to ensure their vaccine campaign is data-driven and set up for success. "Vaccine uptake is absolutely critical to herd immunity -- which is what we all need to recover from the pandemic," said Son. "Too often, we assume that a one-size-fits-all approach to public health campaigns can work. We continue to see that the language and messengers that work for one group can backfire with another -- so we really need to eliminate our own biases and rely on the data to guide our campaigns. For many of us, this is the most important campaign of our lifetime, and we need to do this right." About Civis Analytics Civis Analytics helps leading public and private sector organizations use data to gain a competitive advantage in how they identify, attract, and engage people. With a blend of proprietary data, technology and advisory services, and an interdisciplinary team of data scientists, developers, and survey science experts, Civis helps organizations stop guessing and start using statistical proof to guide decisions.

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BUSINESS INTELLIGENCE

Domo Launches Data Apps to Fill the Gaps of Traditional BI and Analytics

Domo | March 24, 2022

Today Domo announced Data Apps, new low-code data tools for everyone across an organization, designed to bring the benefit of data-driven decisions and actions to those who are underserved by traditional business intelligence (BI) and analytics. A Data App, which combines data, analytics and workflows, is experienced as a personalized standalone experience on a mobile device or embedded into existing apps and processes where work is already happening. Unlike traditional BI, which is designed for executives, managers and data analysts and requires a level of data literacy to interpret and apply insights, Data Apps are designed for any role in an organization and are built so any person can be guided by data to the optimal decisions and actions for achieving specific business outcomes. For example, an employee on the manufacturing floor can leverage a Data App on a work tablet to ensure the company’s quality and safety goals are met throughout their role in the production process. Or a shift manager in a coffee shop can get real-time insights on their phone into customer satisfaction scores and make necessary adjustments on-the-fly to improve the customer experience. The continued push for digital transformation across all areas of business is highlighting the urgent need for new data tools. Despite all the modernization efforts around business intelligence, data is still not being effectively leveraged in most organizations. In fact, no more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so. The other 80% still rely on the data and analytics skills of those 20% who do use BI applications, according to The Future of BI, Forrester Research Inc., February 23, 2022. And recent research sponsored by Domo showed the lack of proper tools is one of the key barriers that keeps organizations from using data more holistically. “It is time for organizations to move beyond thinking of data as charts and graphs and towards adopting customized intelligent apps that not only deliver insights but drive action and support the needs of workers right where the work gets done. Our focus with Data Apps is supporting the white spaces in organizations where traditional BI and enterprise software applications like CRM and ERP have traditionally not reached. We’re making it easy for customers to put data to work for everyone by leveraging Domo as a low-code data app platform to build apps and improve business processes and outcomes everywhere work gets done.” John Mellor, Domo CEO “Organizations face challenges in finding an approach to Data Apps that enables digital transformation. They seek solutions that allow organizations to easily compile, aggregate and share data across trusted networks - both inside and outside organizations, while giving each team member personalized data and automation needed for the business to move forward with more agility,” said R “Ray" Wang, founder and principal analyst, Constellation Research, Inc. Because of Domo’s robust data integration capabilities with more than 1,000+ native connectors built and managed by Domo, Data Apps can easily leverage data from existing systems – regardless of where data lives whether it be in a cloud data warehouse or data lake, or a core application like SAP, Salesforce or NetSuite. As a result, Data Apps are designed to deliver business value at record speed and scale, and what used to take weeks and months, now takes hours or days. “For decades analytics tools have been focused on solving the wrong problem. There will always be a place for ad hoc analyses, but organizations can better meet their day-to-day analytic needs with more directed, purpose-built analytical applications that are embedded into operational processes for line-of-business personnel - whether they be store managers, stock room team members or customer service representatives,” said David Menninger, senior vice president and research director, Ventana Research. “Using a platform like Domo’s to develop and distribute analytics apps helps eliminate time-consuming tasks such as data integration and management, allowing organizations to be more agile and responsive to existing business requirements and new market requirements as they arise.” As part of today’s announcement, Domo launched four solution accelerators, highly configurable Data Apps designed to support common business processes that have not been solved with traditional BI or enterprise software. These accelerators leverage the full capabilities of the Domo platform for data integration, analytics and distribution and are specifically for customers in retail, CPG and financial services. These first four solutions are as follows: Retail Store Performance and Operations – designed as a mobile app for executives, ops leaders, field and store employees to create the best customer experiences and drive sales and margin performance in the stores Retail-Vendor Brand Performance & Insight Sharing – designed for real-time collaboration around point-of-sale data, inventory and market data to help retailers and their vendor partners profitably grow their respective businesses Supply Chain Collaboration and Operations – a cross-functional supply chain problem solving tool that allows manufacturing, retail and logistics people to collaborate to improve supply chain visibility and efficiency to minimize cost Banking Customer Profitability and Behavior Analytics – designed to give financial services organizations such as banks, credit unions and mortgage companies near real-time insight into customer preferences so they can drive more valuable, longer-term relationships with customers Additional Announcements Domo also announced today new updates to the Domo platform that allow customers to leverage data at speed and scale. These announcements include new multi-cloud enhancements, a new governance toolkit, new integrations with Microsoft Office Suite and Teams, and more. About Domo Domo transforms business by putting data to work for everyone. Domo’s low-code data app platform goes beyond traditional business intelligence and analytics to enable anyone to create data apps to power any action in their business, right where work gets done. With Domo’s fully integrated cloud-native platform, critical business processes can now be optimized in days instead of months or more.

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BIG DATA MANAGEMENT

Pathr.ai Unveils New Spatial Intelligence Analytics Tools for Retailers to Help Drive In-Store Profitability, Increase ROI

Pathr.ai | January 15, 2022

Pathr.ai, the industry's first and only artificial intelligence (AI) powered spatial intelligence platform, today announced three powerful new spatial intelligence analytics tools focused on helping retailers drive in-store profitability. Pathr.ai’s CPG Display Tool, True Conversion Rate Tool, and Brand Effect vs. Location Tool are all designed to deliver previously unavailable business insights that empower retailers to obtain higher levels of revenue and make stronger business decisions for their physical stores. “Retailers today lack in-store analytics around customer behavior - critical information that can lead to increased profitability and improved business outcomes. We designed our new tools to address some of the most pressing concerns for retailers,” said George Shaw, CEO and Founder of Pathr.ai. “In addition to our Brand Effect vs. Location Tool and True Conversion Rate Tool, now, for the first time ever, retailers will be able to assess the effectiveness of CPG brands at their stores with our CPG Display Tool.” Pathr.ai’s new tools include: CPG Display Tool: For the first time ever, retailers have a solution that helps them assess the effectiveness of CPG brands at their stores with store-level data to directly measure and maximize the impact of Category Management efforts. By analyzing shopper traffic and dwell impressions within various store departments, retailers can enhance their strategic CPG brand partnerships by offering them valuable data to improve their merchandise placement and marketing promotions. This information also allows CPG brands to better understand how their products are performing in different areas of a store and can be a potentially lucrative new data source for retailers. True Conversion Rate Tool: Allows retailers to quantify group size dynamics in their locations (ex: families, couples, or singles) and delivers a more accurate buyer conversion rate for retailers. This is a huge departure from how the conversion rate is typically calculated, with most retailers measuring individuals, not groups. If a family of 4 enters a retail location, usually only one person from that family will pay for a product, not all 4. In addition to a more accurate conversion rate, this data can also be used to inform merchandising and in-store promotion initiatives. Brand Effect vs. Location Tool: Lets retailers assess how effective their store-within-a-store brands and locations are performing. For example, retailers can leverage this data to understand the full business impact of their store-within-a-store, assessing if that location resulted in traffic to other areas or if it outperformed conventional sections of their store. Retailers can quantify traffic and dwell times around store-within-a-store locations to benchmark rents for each area and guide potential adjustments in location and surrounding store signage to improve performance. “Spatial Intelligence can be a powerful asset to retailers focused on maximizing their profits and improving operational efficiencies critical to their success. We’ve created our insight tools to empower retailers to make business decisions in an accurate and data-driven way, and ultimately share that insight with their CPG supplier base.” Alan Flohr, Chief Revenue Officer of Pathr.ai Pathr.ai integrates and collects data from a retailer’s existing camera infrastructure. It measures customer movement inside a physical space anonymously - allowing companies to comply with GDPR and CCPA standards and achieve positive business results in an unbiased way. About Pathr.ai Pathr.ai is the industry’s first AI-powered spatial intelligence software company that uses anonymous location data from available and existing infrastructure to observe human behavior in any physical space. Its sophisticated technology turns raw behavioral and spatial data from existing sensors into actionable and applied business learnings - allowing companies to drive the business results that matter most to the growth of their companies in real-time. Founded in 2019, Pathr.ai is headquartered in Mountain View, California.

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Birst Networked BI is a breakthrough approach to analytics that connects every part of your organization via a shared analytical fabric that every person can easily access and extend. Part 3 of the demo focuses on Birst’s self-service visual data discovery capabilities.

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