BIG DATA MANAGEMENT

ADP® DataCloud has been Named "Data Analytics Invention of the Year" in the 2021 Data Breakthrough Awards

ADP | March 25, 2021

ADP® DataCloud has been Named "Data Analytics Invention of the Year" in the 2021 Data Breakthrough Awards
ADP, an industry leader in data technology, was named a winner in the 2021 Data Breakthrough Awards for its innovative workforce analytics solution. The solution was named the Data Analytics Innovation of the Year by the independent market intelligence organization for its ability to harness data to address some of the most challenging problems businesses face today.

The Data Breakthrough Awards objective is to honor data technology innovators, pioneers, and visionaries from around the world in a variety of categories such as Data Analytics, Big Data, Business Intelligence, Data Storage, and more. This year, the competitive program received over 1,450 nominations from around the world.

"Businesses have traditionally struggled to identify trends within their people data, and ADP DataCloud represents a significant 'breakthrough' in this area that can result in significant savings and improved retention for organizations," said James Johnson, managing director, Data Breakthrough. "ADP DataCloud addresses some of the biggest challenges that businesses face today, including shifting economic policy, employee retention, and the pay equity gap. We are thrilled to award ADP DataCloud with our 'Data Analytics Innovation of the Year' award and we extend a hearty congratulations to the entire ADP team."

"This past year has demanded that businesses become more agile, as they adapted to the implications of the global pandemic and its impact on the economy and their people," said Jack Berkowitz, senior vice president of product development at ADP. "Businesses have the data they need to make informed decisions, but too often those insights are hidden beneath manual processes. ADP DataCloud uncovers those insights and embeds them directly within the flow of work to give businesses the transparency they need to thrive. From new features to target pay equity gaps and drive inclusion to predictive analytics-driven storyboards that analyze turnover rates, we're constantly raising our aim to give businesses the edge they need."

ADP DataCloud analyzes aggregated, anonymized, and timely HR and salary data from over 740,000 organizations across the country using AI, allowing businesses to benchmark and compare compensation data, turnover rate, and overtime. The approach provides actionable ideas to those who will operate on them by leveraging the scope and depth of "live" data in the broader market.

To assist in navigating the new world of work, the solution includes real-time insights pushed directly to leaders through the ADP Mobile Solutions app; story-driven suggestions on workforce patterns and trends; and Data Mashups, which allow businesses to pull financial and sales data directly through their HCM systems to reveal relationships.


About ADP

ADP's primary emphasis is on providing better ways to work through cutting-edge products, premium services, and exceptional experiences that allow people to reach their full potential. Human Resources, Talent Management, Time Management, Benefits, and Payroll are  Informed by data and the solutions are created with keeping people in mind.

Spotlight

Big data continues to be the topic of much discussion and hype, and companies that have pioneered ways to analyze big data and integrate it with traditional data are finding that the benefits are very real. Big data—information gleaned from nontraditional sources such as blogs, social media, email, sensors, photographs, video footage, etc., and therefore typically unstructured and voluminous—holds the promise of giving enterprises deeper insight into their customers, partners, and business. This data can provide answers to questions they may not have even thought to ask. What’s more, companies benefit from a multidimensional view of their business when they add insight from big data to the traditional types of information they collect and analyze. For example, a company that operates a retail Web site can use big data to understand site visitors’ activities, such as paths through the site, pages viewed, and comments posted.


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DATA ARCHITECTURE

Databricks Launches Data Lakehouse for Retail and Consumer Goods Customers

Databricks | January 14, 2022

Databricks, the Data and AI company and pioneer of the data lakehouse architecture, today announced the Databricks Lakehouse for Retail, the company's first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks' Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing. Early adopters of Databricks' Lakehouse for Retail include industry-leading customers and partners like Walgreens, Columbia, H&M Group, Reckitt, Restaurant Brands International, 84.51°(a subsidiary of Kroger Co.), Co-Op Food, Gousto, Acosta and more. "As the retail and healthcare industries continue to undergo transformative change, Walgreens has embraced a modern, collaborative data platform that provides a competitive edge to the business and, most importantly, equips our pharmacists and technicians with timely, accurate patient insights for better healthcare outcomes," said Luigi Guadagno, Vice President, Pharmacy and HealthCare Platform Technology at Walgreens. "With hundreds of millions of prescriptions processed by Walgreens each year, Databricks' Lakehouse for Retail allows us to unify all of this data and store it in one place for a full range of analytics and ML workloads. By eliminating complex and costly legacy data silos, we've enabled cross-domain collaboration with an intelligent, unified data platform that gives us the flexibility to adapt, scale and better serve our customers and patients." "Databricks has always innovated on behalf of our customers and the vision of lakehouse helps solve many of the challenges retail organizations have told us they're facing," said Ali Ghodsi, CEO and Co-Founder at Databricks. "This is an important milestone on our journey to help organizations operate in real-time, deliver more accurate analysis, and leverage all of their customer data to uncover valuable insights. Lakehouse for Retail will empower data-driven collaboration and sharing across businesses and partners in the retail industry." Databricks' Lakehouse for Retail delivers an open, flexible data platform, data collaboration and sharing, and a collection of powerful tools and partners for the retail and consumer goods industries. 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Customer Lifetime Value: Examine customer attrition, better predict behaviors of churn, and segment consumers by lifetime and value with a collection of customer analytics accelerators to help improve decisions on product development and personalized promotions. Additionally, industry-leading Databricks partners like Deloitte and Tredence are driving lakehouse vision and value by delivering pre-built analytics solutions on the lakehouse platform that address real-time customer use cases. Tailor-made for the retail industry, featured partner solutions and platforms include: Deloitte's Trellis solution accelerator for the retail industry is one of many examples of how Deloitte and client partners are adopting the Databricks Lakehouse architecture construct and platform to deliver end-to-end data and AI/ML capabilities in a simple, holistic, and cost-effective way. Trellis provides capabilities that solve retail clients' complex challenges around forecasting, replenishment, procurement, pricing, and promotion services. Deloitte has leveraged their deep industry and client expertise to build an integrated, secured, and multi-cloud ready "as-a-service" solution accelerator on top of Databricks' Lakehouse platform that can be rapidly customized as appropriate based on client's unique needs. Trellis has proven to be a game-changer for our joint clients as it allows them to focus on the critical shifts occurring both on the demand and supply side with the ability to assess recommendations, associated impact, and insights in real-time that result in significant improvement to both topline and bottom line numbers. Tredence will meet the explosive enterprise Data, AI & ML demand and deliver real-time transformative industry value for their business by delivering solutions for Lakehouse for Retail. 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BIG DATA MANAGEMENT

HealthWorksAI™ Unveils the First Healthcare Data Platform using xAI technology

HealthWorksAI | December 30, 2021

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BIG DATA MANAGEMENT

ListenFirst Announces BI Connector For Tableau

ListenFirst | January 13, 2022

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DATA ARCHITECTURE

Crunchy Data Launches France Operations to Build on Momentum in Europe

Crunchy Data | January 04, 2022

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Spotlight

Big data continues to be the topic of much discussion and hype, and companies that have pioneered ways to analyze big data and integrate it with traditional data are finding that the benefits are very real. Big data—information gleaned from nontraditional sources such as blogs, social media, email, sensors, photographs, video footage, etc., and therefore typically unstructured and voluminous—holds the promise of giving enterprises deeper insight into their customers, partners, and business. This data can provide answers to questions they may not have even thought to ask. What’s more, companies benefit from a multidimensional view of their business when they add insight from big data to the traditional types of information they collect and analyze. For example, a company that operates a retail Web site can use big data to understand site visitors’ activities, such as paths through the site, pages viewed, and comments posted.

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