Toyota, GlaxoSmithKline & TD Amongst Recipients of the 2018 Enterprise Data Visionary Awards
SAN MATEO, Calif., Feb. 6, 2018 — AtScale today announced the winners of its Enterprise Data Visionary Awards program. The awards recognize organizations that have demonstrated outstanding vision and execution in modernizing data analytics for their enterprise.
“These awards recognize the companies, teams and executives who have worked hard to modernize their enterprise data architecture and deliver exceptional results,” said Dave Mariani, CEO and Co-Founder of AtScale. “The winners demonstrated an exceptional level of excellence. We are particularly excited about their success and are proud to have been part of their journey.”
This year’s program recognizes TD, GlaxoSmithKline, Tyson Foods, Ebates, Vivint Smart Home and Toyota. To find out more about the best practices that led these enterprises to win, register to attend the upcoming session: “Blueprint: Succeed with BI-on-The-Data-Lake.
GlaxoSmithKline: Winner – Enterprise Data Analytics Modernization
With global turnover of £27.9B and 99,300 employees in 150 markets, GlaxoSmithKline is a global science-led healthcare company. Its data team, headed by R&D Chief Data Officer Mark Ramsey, has deployed a modern Data Analytics platform designed to drive innovation, improve research and identify new drug solutions faster.
GlaxoSmithKline’s (GSK) Big Data Information Platform has delivered a holistic view of all data within the company’s R&D division for the first time in the company’s history. The solution spans across 200 use cases, captures 100% of its unstructured data across one of Cloudera’s largest deployments. Using Spotfire, Microsoft Excel or any of GSK’s other analytics and BI tools on top of Cloudera, the company’s R&D data has become a strategic asset that all can rely on to support the organization’s mission and goals.
Tyson Foods: Winner – Universal Semantic Layer Visionary
With $35B in annual revenue and over 114,000 team members, Tyson Foods, the largest U.S. meat processor, was ranked #1 in its industry by Fortune Magazine 4 years in a row (2017, 2016, 2015, 2014).
The company is known for its innovation and a strong focus for purpose and values that positively impact the world. Its approach to Big Data is consistent with its company strategy and it is designed to unify a large amount of traditional business intelligence tools around one set of semantics that enable all employees to work with massive amounts of data, from sales information to IoT sensor insights.
Tyson realized they needed to provide a single view of all of their data and implemented a single semantic layer strategy to provide freedom for business users to use their BI tools of choice while enabling IT to govern access via a solid enterprise data management framework. Thanks to their architectural innovation, Tyson employees gain valuable insights from their Data Lake in hours instead of weeks, while increasing cost control and building a solid foundation for growth.
“Implementing a single semantic layer has made it possible for us to continue using our tried and true BI tools, while gaining better time to insight, enhanced time intelligence, and broader MDX support,” said Tyson Foods Architect of Big Data and Analytics Chad Wahlquist.
Ebates: Winner – Digital Insights Innovator
When Rakuten acquired online rebate operator Ebates for $1B a few years ago, it acquired a thriving digital business. Over the company’s lifetime, Ebates has earned its millions of members a billion dollars in cash back. Over the last few years, the data teams at Ebates have led no less than a Big Data revolution. Using AtScale, Tableau and Cloudera, Ebates was able to get rid of the multiple data-writes across the databases that stored digital transactions and serve near real-time access to data, in its full granularity, the minute it has been created in Ebates’ Data Lake.
The agility gained by this deployment means that business analysis, reporting, and payouts can now be completed at break-neck speed, delivering one of the industry’s highest member satisfaction ratings. Finally, the ability to instantly access all current and historical usage data enables Ebates to discover trends and outliers that offer an opportunity to innovate, improve and grow the business.
“Thanks to our new data strategy, we can spend less time managing the data and more time analyzing it,” said Ebates VP of Analytics Mark Stange-Treager. “Now, we are able to make more timely decisions that delight customers, and increase trust and satisfaction.”
Toyota: Winner – Time To Insights Leader
It’s fitting that the company MIT Technology Review named one of the smartest companies on earth, would shine with its Big Data strategy. In 2017, Toyota co-founded the Automotive Edge Computing Consortium, aiming to use data to support intelligent driving and real-time driving assistance based on cloud computing. The consequence of Big Data are real in the Automotive industry: data volume between vehicles and the cloud is expected to reach 10 exabytes per month around 2025, about 10,000 times larger than today.
This level of growth required a mindset change for the Big Data Analytics team, which built an Enterprise Data Analytics Center of Excellence designed to enable employees to self-serve to the data stored in their Cloudera Data Lake, via tools like Tableau and Microsoft Power BI. Toyota was able to move at the speed of business by letting employees answer their biggest questions in just minutes (instead of hours or days) and allowing them to drive better insights for sales and manufacturing across North America.
Vivint Smart Home: Winner – IoT Analytics Innovator
Vivint Smart Home is a leading smart home technology provider with more than one million customers throughout the United States and Canada.
Vivint’s focus on big data and analytics is at the core of its IoT business and the company’s analytics and artificial intelligence team led by Brandon Bunker, has revolutionized business operations to improve customer delight through the use of device data. With a variety of optical sensors such as smart locks, thermostats, smoke, carbon monoxide and flood detectors, Bunker’s team was able to use all of the captured data to find the perfect balance between energy efficiency and comfort, saving customers over 10 percent on energy investments.
“Vivint is performing interactive analysis of our big data using lightning-fast analytics,” said Brandon Bunker, senior director of consumer analytics and intelligence at Vivint Smart Home. “This ensures that we deliver secure insight at unparalleled scale, making smart homes even smarter and, in the process, saving money for our customers and our company.”
TD Bank Group (TD): Winner – Insights as a Service
TD set out to modernize its data infrastructure as a shared service in order to leverage analytics to provide Legendary Customer Service across its digital platforms. By delivering Data-as-a-Service, TD was able to reduce data management and storage costs while delivering new, flexible ways for the bank to leverage valuable data insights.
AtScale makes BI work on Big Data. With AtScale, business users get interactive and multi-dimensional analysis capabilities, directly on Big Data, at maximum speed, using the tools they already know, own and love – from Microsoft Excel to Tableau Software to QlikView. Built by Big Data veterans from Yahoo!, Google and Oracle, AtScale is already enabling the BI on Big Data Revolution at major corporations across healthcare, telecommunications, retail and online industries. To see how AtScale can help your company, go to www.atscale.com/try