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. Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization's data engineers and data scientists. Popular solution accelerators for Databricks' Lakehouse for Retail customers include:

  • Real-time Streaming Data Ingestion: Power real-time decisions critical to winning in omnichannel retail with point-of-sale, mobile application, inventory and fulfillment data.
  • Demand forecasting and time-series forecasting: Generate more accurate forecasts in less time with fine-grained demand forecasting to better predict demand for all items and stores.
  • ML-powered recommendation engines: Specific recommendations models for every stage of the buyer journey - including neural network, collaborative filtering, content-based recommendations and more - enable retailers to create a more personalized customer experience.
  • 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. The partnership first launched the On-Shelf Availability Solution (OSA) accelerator in August 2021, combining Databricks' data processing capability and Tredence's AI/ML expertise to enable Retail, CPG & Manufacturers to solve their trillion dollar out-of-stock challenge. Now with Lakehouse for Retail, Tredence and Databricks will jointly expand the portfolio of industry solutions to address other customer challenges and drive global scale together.

About Databricks
Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Precisely Works with AWS to Power Mainframe Modernization for Real-Time Access to Data

Precisely | December 01, 2022

Precisely, the global leader in data integrity, today announced it is working with Amazon Web Services (AWS) on its AWS Mainframe Modernization service. The integration offers real-time replication of mainframe data to AWS leveraging Precisely Connect, allowing customers to securely and efficiently migrate data, as well as access mainframe data on AWS for more powerful analytics. This new scope of work delivers a mainframe modernization solution to the market that allows customers to replicate mainframe data onto AWS with zero downtime. The functionality allows customers to build resilient, high-performance data pipelines that connect data from their mainframe databases to AWS services like Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Simple Storage Service (Amazon S3), Amazon EMR, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Redshift, Snowflake on AWS, and more. By accelerating access to mainframe data on AWS, businesses can get mainframe migration projects done on time and on budget, all while extending the value of mission-critical, and high investment, mainframe systems. The integration solution works within a business’s existing architecture, allowing teams to future-proof solutions and be flexible when introducing new applications and use cases. Customers that have already begun taking advantage of these joint capabilities include AAA Life Insurance: “Our customers rely on us to provide financial protection for their loved ones, and with over 1,500,000 active policies, central to success is real-time access to trusted data across multiple sources. This includes mainframe systems - which are notoriously challenging to integrate effectively,” said Steven Hinzmann, Manager of Application Development at AAA Life Insurance. “Precisely Connect allows us to quickly and easily access vast volumes of historical business and customer data, which is then replicated to the AWS environment where it can be leveraged for advanced analytics. The combination of Precisely’s rich heritage in handling mainframe data with AWS’s cloud platform has been unbeatable for allowing us to innovate and drive the best possible customer experience." “Data is the lifeblood of the digital economy and the pipelines that carry it are essential to a business’s IT infrastructure. “Together with AWS, we can help our customers to maximize their data and investments - unlocking the true potential of their critical data assets to power their business by making critical data assets available for AWS and for advanced analytics.” Eric Yau, Chief Operating Officer at Precisely “AWS and Precisely empower our customers to build trust in their data,” said Bill Platt, General Manager for Migration Services at AWS. “By integrating data from complex mainframe systems directly onto AWS, customers can rely on their data to be the driving force of confident analytics, and ensure they are deriving maximum value from their infrastructure investments.” About Precisely Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 99 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Veritonic Added to List of Acast’s Preferred Audio Attribution Partners

Veritonic | December 09, 2022

Veritonic, the industry’s comprehensive audio analytics and research platform, announced today that they have been approved as an attribution partner by Acast, the world’s largest independent podcast company. As a result, the more than 2,400 advertisers and 88,000 podcasters that use the Acast platform to distribute their podcast content can elect to utilize Veritonic’s robust attribution capabilities to optimize and further increase the ROI of their audio campaigns. “We are pleased to partner with Acast to support brands, agencies, and publishers with the holistic data and analytics they need to increase their reach and ROI with audio. "The powerful combination of our attribution and brand lift technology provides unparalleled and comprehensive measurement of audio campaigns from top to bottom in one unified and intuitive platform.” Scott Simonelli, chief executive officer of Veritonic "Veritonic shares our commitment to arming brands and agencies with actionable and insightful audio performance data,” said Kevin McCaul, Global Head of Ad Operations at Acast. “Our partnership is an important step for the open ecosystem of podcasting as we continue to work together to provide independent measurement insights to prove the effectiveness and efficiency of podcasting as a marketing channel.” Veritonic’s Attribution solution enables users to glean actionable insights from top-of-the-funnel branding initiatives through bottom-of-the-funnel conversions & transactions. Through an intuitive and interactive dashboard, brands can determine which publisher and specific ads had the highest impact and use that data to optimize ad performance. About Veritonic World-renowned brands, agencies, publishers, and platforms rely on Veritonic’s comprehensive audio research and analytics platform to research, test, and measure the ROI of their audio assets and campaigns pre-market, in-market, and post-campaign. The resulting insight enables clients to gain confidence in their audio investment, mitigate risk through optimization, and increase their return as they engage consumers with compelling audio experiences. About Acast Acast is the world’s largest independent podcast company. Founded in 2014, the company has pioneered the open podcast ecosystem ever since – making podcasts available on any listening platform. Acast provides a marketplace, helping podcasters find the right audience to monetize their content. When our podcasters make money, we make money. Today, Acast hosts nearly 88,000 podcasts, with more than 430 million listens every month.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Accenture to Acquire ALBERT After Completing Tender Offer

Accenture | November 15, 2022

Accenture is to acquire Japanese data science company ALBERT Inc. (President and CEO: Tokyo Stock Exchange Growth Market, Securities Code: 3906), after completing a tender offer. The acquisition will add a large team of data scientists to Accenture to further strengthen its data and AI capabilities for clients. The tender offer was launched on September 29 and closed on November 14. The number of ALBERT's common shares and stock acquisition rights tendered to Accenture significantly exceeds the threshold required for ALBERT to become part of Accenture, equal to two thirds of the ALBERT stock. Upon completion of the transaction, ALBERT will be part of Accenture. Accenture expects to purchase all remaining shares and stock acquisition rights in the coming months, after which ALBERT will be delisted from the Tokyo Stock Exchange. ALBERT offers AI and big data analytics services, AI-based algorithm development, AI implementation consulting, and data science training support, primarily to major corporations in Japan. The company was founded in 2005 and was listed on the Tokyo Stock Exchange in 2015. Its data science team of 250 permanent employees and contractors will join Accenture’s Applied Intelligence practice, which provides AI and data-led transformation solutions and services. ALBERT will strengthen Accenture’s ability globally to help its clients manage the total reinvention of their enterprises, which most successful companies will undergo in the next decade. Technology, data and AI will transform every part of their business, enabling new ways of working and engaging with customers, business models and growth opportunities. The acquisition will be Accenture’s latest step to further strengthen its services in Japan that use data to digitally replicate the entire enterprise and to help Japanese companies grow and become more competitive with deep data analytics and AI expertise. Accenture has launched several solutions for data-driven management in Japan recently, for example, to forecast various business scenarios and propose actions to improve the forecasts, and to support clients’ ESG (environment, society, and corporate governance) practices. Atsushi Egawa, who leads Accenture’s business in Japan, said, “Companies today need a 360-degree view on their business to make better and faster decisions. They must look beyond the financials and include, for example, sustainability initiatives, customer experiences, and people development and retraining. Gaining this holistic perspective and being able to simulate every aspect of the business requires deep data science expertise and AI capabilities. Accenture and ALBERT’s team will bring these to clients to help them succeed in their total enterprise reinvention.” “ALBERT’s philosophy is to connect the world with data science and co-create new value for a better future. As leading companies across industries are investing heavily in AI, we’re seeing growing demand for the technologies and skills that are the core of our business. By joining Accenture, which excels at addressing its clients' most complex opportunities and issues, our team can drive even more value for clients and accelerate the implementation of AI in society.” Takeshi Matsumoto, President, and CEO of ALBERT ALBERT will follow other acquisitions Accenture has made to strengthen its data and AI capabilities for clients globally. These include Analytics8 in Australia; Sentelis in France; Bridgei2i and Byte Prophecy in India; Pragsis Bidoop in Spain; Mudano in the UK; and Clarity Insights, End-to-End Analytics and Core Compete in the US. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 721,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

Snowplow launches Data Product Accelerators, Snowplow BDP Cloud and Enterprise updates

Snowplow | November 03, 2022

Snowplow, the industry leader in Data Creation and behavioral data, has announced the availability of the first of its Data Product Accelerators (DPAs)— recipes designed to help accelerate the journey from ideation to outcome when designing business-critical data products. The company has also announced preview availability of new offerings within its Behavioral Data Platform (BDP) portfolio. Data Product Accelerators Snowplow DPAs mark the next evolution of Data Creation, the category founded by Snowplow that involves the deliberate creation of data to power AI and advanced data applications. These DPAs lay the foundation for the fast creation of data apps, providing a step-by-step guide or referencing data architecture to effortlessly deliver high-impact use cases that solve specific business needs or problems. For example, the Composable CDP DPA will use Databricks, machine learning, and Hightouch to enable the creation of a composable CDP—which an organization could use to collect behavioral data from all customer touchpoints and build a single customer view, to better understand customer behavior and power personalization at scale. “Across industries, organizations know they need to be doing more with data. They know that simply extracting data is not enough—they need to create data that’s meaningful to their unique situation. Yet, in an emerging field like this, we felt that we could do more to share best practices and get outcomes into the hands of Data teams and their organizations. These DPAs will help our customers to easily understand and experience the value of Snowplow, in a context that is highly meaningful to them” said Snowplow President, Chief Product and Marketing Officer, Nick King. The DPAs will be available in an online library and soon to be released within the Snowplow platform, and will include a high-level solution overview, clear implementation process, and technical accelerators to help organizations bring their data products to market faster. There are four DPAs available at launch, including Advanced Analytics for Web (both Snowflake and Databricks), Composable CDP with Predictive ML Modeling, Advanced Analytics for Hybrid Mobile, and Advanced Analytics for Mobile. Preview availability of Snowplow BDP Cloud and BDP Enterprise BDP Cloud Snowplow has also announced the preview of Snowplow BDP Cloud, a new iteration of the behavioral data platform that empowers organizations to create, evolve, and manage behavioral data at scale. Fast to implement, Snowplow BDP Cloud is targeting EU and North American markets initially—removing the burden of deploying Snowplow in your own environment, and ensuring GDPR, and other regulatory compliance. Snowplow BDP Cloud is available as a private preview and customers can sign up here to gain access. BDP Enterprise Available today, BPE Enterprise customers are able to take advantage of the Tracking Catalog. This new feature provides the ability to create an organizational wide view of their tracking architecture, which allows teams to effectively discover, evolve, and manage versioning for their events and entities. Team members of all technical levels can find out about the event, entities, and properties collected by Snowplow. This is particularly helpful for Data Product Managers, a role which requires fast and effective data discovery. “Using the Tracking Catalog allows us to review the graph of events and entities holistically - with the goal being to review our tracking architecture and increase the quality of our event collection," said UK's AutoTrader Engineering Platform and Data Director, Darren Haken. "It can also provide a non-technical view to our Product Managers - helping them understand what events they are collecting on the product.” The BDP Portfolio The new Snowplow BDP portfolio of Cloud and Enterprise is designed to help make advanced analytics available to more businesses. Alex Dean, Snowplow’s co-founder and CEO highlighted the results achieved by current customers. “Already, customers like Strava, Gousto, and DPG Media are forging ahead with Data Creation using Snowplow,” he said. “These new offerings will pave the way for more organizations across the globe to tap into the rich possibilities of using behavioral data to power advanced analytics and AI applications.” About Snowplow Snowplow generates, governs and models high-quality, granular behavioral data, ready for use in AI, ML, and Advanced Analytics applications. When integrated with other tools from the modern data stack, Snowplow can power a wide variety of advanced use cases, allowing organizations to drive significant business value with behavioral data. Data products built on top of Snowplow include the composable CDP, first-party digital analytics and ML-powered churn reduction for subscription businesses.

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Devices are essential to your operations, and if they aren't working at their best, your organization may suffer. Give users access to a solution that offers information about the use and health of your Zebra devices. Using a single dashboard, Zebra VisibilityIQTM Foresight, provide operational insights with historical data patterns and actionable predictive intelligence to help prevent employee downtime, enhance productivity, and save costs.

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