BIG DATA MANAGEMENT

Eccovia Launches ClientInsight, an AI-Powered Data Warehouse to Improve Social Service Delivery

Eccovia | July 26, 2022 | Read time : 03:00 min

Eccovia
Eccovia, a leading provider of cloud-based SaaS solutions for the health and human services sector, announces the release of an unprecedented data warehouse and community-analytics platform, ClientInsight. ClientInsight is hosted in Microsoft Azure and is a premier solution for data quality, performance, and actionable insights.

Since the COVID-19 pandemic began, our nation’s most vulnerable populations have faced adverse outcomes to their social determinants of health. In addition to a new pathogen in the public, domestic violence increased, as did homelessness. Data availability became a national topic of conversation as COVID-19 case counts rose, and there was never a greater need for increased access to timely data in the realm of social services. We now know the result of data that is incomplete, siloed, or “stale.” Data has to be available when needed, and the inequities in data availability were highlighted by the pandemic, as were the needs to address systemic issues in care coordination.

With the launch of ClientInsight, social-services dashboards and data from across communities can integrate into a single source of truth, leading to a more holistic approach to addressing the needs of vulnerable populations, true coordinated entry, and effective care coordination.

”ClientInsight is really the first-ever platform that will be able to help tie organizational data, collected every single day, to outcomes and progress that providers hope and expect to see. This is a true gamechanger that will allow community providers to set and meet more ambitious goals in their respective fights to end society’s most pressing issues.”

CEO, Carl Champagne

Data-privacy laws require secure access points to client data, yet networks that serve multiple populations must be able to share this data between organizations for care coordination. ClientInsight closes the gap between data privacy and care coordination, allowing providers to serve their clients' needs with a more knowledgeable, integrated level of care.

About Eccovia
Eccovia provides industry-leading software platforms for case management and community care coordination for state agencies, community-based providers, and other human-service entities. The platforms help caseworkers and care providers collaborate across physical, behavioral, economic, and social determining factors that impact individual and community health outcomes.

Spotlight

R is currently one of the most popular data science languages in the world. However, it’s always had constraints around scaling out to big data. What happens when you expand beyond a couple gigabytes of data? You packed up your data and you used something else; Python, Java, or Mahout to name a few. Now it’s possible to stick with R throughout your production analysis all the way to deployment, regardless of the data size.Companies like Apache, Revolution Analytics, Microsoft, and H20 showed us this year that distributed computing in R is possible. Today we’ll take a look at what the Microsoft stack is doing in terms of scaling R up to big data.


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BIG DATA MANAGEMENT,DATA SCIENCE

Amazon Unveils Additional Analytics and Data to Empower Seller Success

Amazon | September 16, 2022

Today at Accelerate, Amazon’s annual seller conference, Amazon announced new features to Manage Your Experiments, a tool that helps sellers optimize content on product detail pages to drive higher rates of conversion, increasing their sales by up to 25%. Amazon also enhanced the Product Opportunity Explorer and Search Analytics Dashboard with new capabilities that help brands analyze marketing campaigns and identify areas to acquire new customers and drive repeat purchases. This new set of industry-leading tools makes it easier for sellers to tap into customer insights and analytics data to launch new products and increase sales. “We’re focused on supporting sellers as they work to build and grow their business,” said Benjamin Hartman, vice president of Amazon North America Selling Partner Services. “The tools we’re announcing today are a direct result of seller feedback and target every step of their Amazon sales funnel, from new customer acquisition to increased lifetime value. We’re committed to continuing to develop tools and features that deliver actionable insights for sellers.” “We have been working with Amazon since the beginning, leveraging data to build our business into one of the largest jewelry sellers on Amazon,” said Tal Masica, founder of PAVOI Jewelry. “Thanks to enhancements to the Search Analytics Dashboard and Product Opportunity Explorer, we now have the ability to analyze search trends at a granular level, giving us actionable insights to improve both trend forecasting and design for future collections – so we can continue delivering quality sustainable jewelry that our customers love to wear every day.” Amazon offers a range of industry-leading tools that empower sellers to optimize their listings, better understand customers, differentiate their brands, and grow their business. The following new tools were announced at Accelerate 2022: Manage Your Experiments is designed to increase the quality of product detail pages and drive higher conversion. With Manage Your Experiments, brands are able to run A/B tests on their titles, main images, and A+ content to see what performs best. Now, brands can also A/B test bullet points and descriptions, and review machine learning-based recommendations for product images and titles to drive better conversion. Additionally, brands can now opt-in to auto-publish winning experiments to the product detail page, automating their A/B tests. Sellers benefit from traffic from hundreds of millions of Amazon customers, and the new Manage Your Experiments features make it easier to test more content, faster. Search Analytics Dashboard has expanded since its launch in early 2022 to offer a new insights dashboard that provides sellers with anonymized data to better understand customers’ interests and shopping habits. For the first time, brands can download Search Query and Catalog Performance data and new ASIN-level details. This new capability enables brands to easily assess marketing campaigns to identify areas to drive repeat purchases and acquire new customers—either directly from within Amazon’s tools or by combining Amazon data with the seller’s own business data. The enhanced Search Analytics Dashboard is launching worldwide in September. Product Opportunity Explorer builds on its successful beta introduction in 2021, continuing to offer rich, accurate data that helps sellers understand, gauge, and evaluate product opportunities in the Amazon store. Sellers can assess the likelihood of a new product gaining traction with customers and forecast sales potential. For the first time, Amazon has now introduced an enhanced Product Opportunity Explorer with a new feature, Customer Reviews Insight. This feature helps sellers work backward from the customer, using customer feedback from product review insights and product star ratings, to help brands determine what features they should build and prioritize as they launch new products or modify existing ones. Marketplace Product Guidance, initially announced in 2021, has been enhanced to provide Selection Recommendations—products in high demand—for U.S. sellers looking to expand to France, Italy, and Spain. Selection Recommendations give sellers insight as to products not currently offered that fit a seller’s portfolio, surfacing new growth opportunities. The tool takes the guesswork out of which products should be considered in those stores, based on customer demand. These recommendations are personalized and ranked based on their opportunity score as calculated by machine learning models that are designed to predict the best opportunities for new selection. Every year, Amazon invests billions of dollars to improve the infrastructure, tools, services, fulfillment solutions, and resources dedicated to helping sellers succeed. Sellers are responsible for more than half of Amazon’s physical product sales; sellers in our store employed and provided jobs for more than 1.5 million people in the United States. About Amazon Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.

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BUSINESS STRATEGY

BangDB launches APIs for AI, Graph and Stream processing for emerging use cases in data analytics

BangDB | July 08, 2022

AI database firm BangDB has launched the REST APIs for its converged data platform. BangDB is the world's highest performance database which makes it highly suitable for modern applications that require predictive real-time analysis for fast moving data from devices, sensors and machines. By bringing AI, Stream Processing, Graph and the database together in a single product, BangDB has created a modern stack to disrupt the data analysis market. Graph processing with integrated AI and Stream is the way forward to tackle emerging requirements and use cases. Majority of the data will originate from devices in various shapes and sizes, coming from all directions in high speed. The context of the data will be extremely crucial for extracting the intelligence as quickly as possible. Correlation across various data points, events spanned over massive space would be key to data processing. Natural groups, networks and connections in time and space would be invaluable. To mine these in a productive manner, users need a simple abstraction and interface which hides all complexities and provides an efficient way to deal with the challenge. BangDB is designed for emerging use cases which deals with Edge and Cloud computing in real-time in various different domains like IOT, FinTech, Log analysis, Supply Chain, etc. BangDB is available on Cloud, or on-prem, or even can be embedded in devices for true Edge computing. It has a user base of over 100K and is increasing rapidly. BangDB community edition is totally free, with a cloud subscription model and one month trial period. BangDB works with several enterprises with its custom license model. BangDB is all set to release its own AppStore with ready-made custom solutions in a few months. BangDB was founded as part of IQLECT in 2015 by Sachin Sinha and is based in Bangalore. It is an Artificial Intelligence (AI) based converged database platform which aligns with the current & future data trends in the market. BangDB has been developed from the ground up and owns over a dozen patents in data processing. It has over 100K users across the world with several leading enterprises as clients. BangDB is backed by several VCs like Exfinity and VentureEast along with prominent angels Lip-Bu Tan, Michael Marks, Nicholas B, Pradeep Khosla.

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA SCIENCE

Syniti Announces Partnership with Global IT Solutions Aggregator TD SYNNEX

Syniti | September 01, 2022

Syniti, a global leader in enterprise data management, announced today a new partnership with TD SYNNEX, a global IT distributor and solutions aggregator formed through the merger of Tech Data and Synnex. This partnership will provide enterprises with new access to Syniti's award-winning data management solutions. The first solution available through this new partnership is Syniti Replicate, a data replication software with change data capture that enables the timely, relevant data enterprises need to make critical business decisions and support transformative experiences. Having accurate, decision-relevant information available quickly is crucial for many tasks in enterprises of all sizes, whether that's running high-speed analytics or supporting business intelligence applications. With Syniti Replicate, enterprises can: Deliver fresh data to analytics and decision makers to get immediate insights Reduce stress on production systems enabling improved overall system performance Migrate data away from difficult to access legacy systems meaning users can access data faster Democratize data across the entire organization with the consolidation of data from numerous sources into a central data lake With a user-friendly, wizard-based graphic interface, configuration is faster and easier which means businesses can more quickly deploy and may see immediate benefits. Syniti Replicate requires no coding, stored procedures or proprietary syntax to set up, which lessens the burden on internal IT teams. The software has extensive security including user and certificate authentication and supports dozens of relational databases as sources and targets, including Amazon, Oracle, SAP and Snowflake, with no additional programming. "We chose to partner with TD SYNNEX for their ability to support the growth and expansion of Syniti's direct solutions, including Syniti Replicate. More organizations can now benefit from our world-class replication engine, getting the real-time data they need to make critical business decisions and create differentiated experiences." Brian Haering, Vice President, Direct Solutions, Syniti Cheryl Neal, Vice President, Vendor Acquisition and Global Solutions, TD SYNNEX, said, "TD SYNNEX is committed to uniting IT solutions that deliver business outcomes today and unlock growth for the future. With Syniti added to our portfolio of vendor partners and providing our first data replication software capability, we're able to enrich the breadth and depth of our offerings so customers can realize business outcomes faster with their data. Syniti Replicate is available as a standalone solution or included as a component of the Syniti Knowledge Platform. About Syniti Syniti solves the world's most complex data challenges by uniquely combining intelligent, AI-driven software and vast data expertise to yield certain and superior business outcomes. For over 25 years, Syniti has partnered with the Fortune 2000 to unlock valuable insights that ignite growth, reduce risk and increase their competitive advantage. Syniti's silo-free enterprise data management platform supports data migration, data quality, data replication, master data management, analytics, data governance, and data strategy in a single, unified solution. Syniti is a portfolio company of private equity firm Bridge Growth Partners LLC. Read more at www.Syniti.com. About TD SYNNEX TD SYNNEX is a leading global distributor and solutions aggregator for the IT ecosystem. We're an innovative partner helping more than 150,000 customers in 100+ countries to maximize the value of technology investments, demonstrate business outcomes and unlock growth opportunities. Headquartered in Clearwater, Florida, and Fremont, California, TD SYNNEX' 22,000 co-workers are dedicated to uniting compelling IT products, services and solutions from 1,500+ best-in-class technology vendors. Our edge-to-cloud portfolio is anchored in some of the highest-growth technology segments including cloud, cybersecurity, big data/analytics, IoT, mobility and everything as a service. TD SYNNEX is committed to serving customers and communities, and we believe we can have a positive impact on our people and our planet, intentionally acting as a respected corporate citizen. We aspire to be a diverse and inclusive employer of choice for talent across the IT ecosystem.

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BIG DATA MANAGEMENT

Treasure Data Named as a Strong Performer in Customer Analytics Technologies Evaluation by Independent Research Firm

Treasure Data | August 05, 2022

Treasure Data, a best-of-breed enterprise customer data platform (CDP), today announced it has been recognized as a Strong Performer by Forrester Research, Inc. in its recently published report "The Forrester Wave™: Customer Analytics Technologies, Q2 2022." This report evaluated customer analytics technology providers along 32 criteria segmented into three primary categories: current offering, strategy, and market presence. According to the report, "Treasure Data fully embraces the next-best-experience ethos. While most customer data platforms focus solely on marketing data and use cases, Treasure Data has launched a CDP for Sales and a CDP for Service in addition to its CDP for Marketing. Treasure Data's superior product roadmap focuses on trust through data and model lineage, and democratization through automated machine learning (AutoML). A cash infusion of $234 million from Softbank last year, the largest funding round ever for a CDP, should help Treasure Data achieve it." The report continued, "As an open platform that is agnostic of data source or type, Treasure Data excels at the breadth of customer data it can store and analyze, and reference customers were highly satisfied with this capability. It also has productized reinforcement learning into strong optimization functionality and offers a robust UI for model evaluation and monitoring." "We're proud to be the only customer analytics-focused CDP designated as a Strong Performer by Forrester, which further validates, in our opinion, that our current business model, operational strategy, and product roadmap are on track and are propelling the company to greater heights as its maturation continues in a highly-competitive industry category," said Kazuki "Kaz" Ohta, co-founder and chief executive officer of Treasure Data. "As we begin our second decade of operation, we are laser-focused on customer acquisition, deeper penetration of important vertical markets, and building out the product portfolio so Treasure Data CDP can be used by a greater spectrum of potential clients around the world." About Treasure Data  Treasure Data is a best-of-breed enterprise customer data platform (CDP) that powers the entire business to shape customer-centricity in the age of the digital customer. We do this by connecting all data into one smart customer data platform, uniting teams and systems to power purposeful engagements that drive value and protect privacy for every customer, every time.

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Spotlight

R is currently one of the most popular data science languages in the world. However, it’s always had constraints around scaling out to big data. What happens when you expand beyond a couple gigabytes of data? You packed up your data and you used something else; Python, Java, or Mahout to name a few. Now it’s possible to stick with R throughout your production analysis all the way to deployment, regardless of the data size.Companies like Apache, Revolution Analytics, Microsoft, and H20 showed us this year that distributed computing in R is possible. Today we’ll take a look at what the Microsoft stack is doing in terms of scaling R up to big data.

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