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Showcasing your success with data

This annual event recognizes the best of the best organizations, like yours, running the Cloudera platform, and your innovations. We showcase the impact your projects are having within your organization, on your business’ bottom line, and on the world.

2020 winners were announced at a virtual event. Organizations were nominated by their employees or by partners, vendors, or peers, with nominee consent.

#DataImpactAwards

The winning organizations' implementations demonstrate outstanding objectives in their mission, technical advancement, and overall impact.

Your 2020 winners

 Data Impact Achievement Award

United Overseas Bank

United Overseas Bank (UOB), a Singaporean multinational banking organization, is recognized as one of the most excellent and professionally managed financial institutions in Asia. UOB understands that the future is data-driven. The Bank has been continually preparing its entire workforce and infrastructure, spread across 500 offices, for the digital future. The technological linchpin of its digital transformation, has been its Enterprise Data Architecture & Governance platform. The platform is loaded with over 30,000 files per day, from 95 systems across the bank. And hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk.

Data Champions

OVO

OVO is the leading digital payment, rewards and financial services platform in Indonesia. OVO is available on 115M devices in Indonesia and these devices collectively generate tens of millions of data points every day. As the volume of products within OVO’s ecosystem increases, the ability to ensure marketing effectiveness is of the utmost importance, especially in order to minimize any unnecessary marketing spend. With ultra-personalized marketing at the heart of their strategy, OVO built its first contextual offer engine, OVO UnCover. OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. In its first six months of operation, OVO UnCover has proven to be 7.9 times more effective than traditional mass marketing. In fact, as a direct result of this project, OVO achieved a 15% increase in revenue.

Data for Enterprise AI

Experian BIS

Experian is a global leader in consumer and business credit reporting and marketing services, unlocking the power of data to create opportunities for consumers, businesses and society. Experian sifts through hundreds of millions of records daily to serve both consumers and businesses with vital credit score, report, and credit comparisons. To ensure maximum momentum, and flawless service, the Experian BIS Data Enrichment team decided to use the power of big data by utilizing Cloudera’s Data Science Workbench. Using Data Science Workbench, Experian BIS launched over 6 different data-maintenance apps, and in doing so tackled previously unsolvable problems, such as identifying non-commercial data in the commercial data repository, with machine learning and automation. The first app launched by the team saw productivity gains up to 3,000% with average unit cost reductions up to 99% when compared to the previous manual process.  Watch the video

Connect the Data Lifecycle

Globe Telecom

Globe Telecom, Inc. is a leading full-service telecommunications company in the Philippines. It serves the needs of consumers and businesses across an entire suite of products and services including mobile, fixed, broadband, data connectivity, Internet, and managed services. To optimize investments, effectively bundle product offerings, and deliver contextual campaigns, Globe Telecom created a new analytical environment. This environment uses Kafka to ingest massive volumes of real-time, granular network signal information, and combines that with batch loads from billing systems, payments and more. Using the Cloudera Data Platform to interpret analytics across its departments, Globe Telecom tripled their Airtime Loans revenue in the first year, followed by another approximately 120% in the first half of 2020. The team also positively impacted the lives of their customers, helping them keep in touch with their loved ones, by providing access to loans during the pandemic.

Enterprise Data Cloud

West Midlands Police

West Midlands Police is the second largest police force in the United Kingdom, covering an area of 348
square miles and serving a population of almost 2.8 million. West Midlands Police are recognised for their incredibly innovative work with Accenture and Cloudera over the last 5-years. They have delivered several large-scale transformation projects to enhance capabilities across the force, and to improve the service the force provides for its citizens. The Data Driven Insights project they undertook, is a cutting edge initiative aimed at radically improving the police force’s data and analytics capability. The predictive insights generated by this project continue to lead to positive community interventions and informed decision making.

Data Security & Governance

Merck KGaA, Darmstadt, Germany

Merck KGaA, Darmstadt, Germany, is a leading science and technology company, operating across healthcare, life science and performance materials business areas. The Advanced Analytics team supporting the businesses of Merck KGaA, Darmstadt, Germany was able to establish a data governance framework within its enterprise data lake. This enabled Merck KGaA to control and maintain secure data access, and greatly increase business agility for multiple users. The policy-based framework also provides an efficient way to provide data access to end users. With support from Cloudera's solution, Merck KGaA is further able to decrease operational costs and ensure data accuracy through good governance on disparate data sources. It is also able to provide unparalleled accessibility of data through running an efficient access management program.

Industry Transformation

Telkomsel

Telkomsel is a subsidiary of PT. Telekomunikasi Indonesia Tbk (65%) and Singapore Telecom
Mobile Pte Ltd (35%), serving more than 158 million subscribers and supporting ten billion customer activities every day. The company tackled digital transformation head-on by building a single digital platform to drive data driven decision making, fundamentally improve customer experience, and identify new business models. This transformation enabled Telkomsel to increase campaign take up rate. to increase revenue up to 400% and create 29% growth in its digital services revenues. Telkomsel has also been able to increase storage efficiency by leveraging the store layer on Hadoop resulting in an 80% cost reduction compared to previous technology stacks.

Data for Good

Rush University Medical Center

Rush University Medical Center is the flagship location for the Rush University System for Health, an academic health system with a mission to improve the health of the individuals and diverse communities in Illinois. In an incredibly swift response to the resource, staffing and capacity pressures they anticipated on the medical center because of the COVID crisis, Rush University Medical Center built a data pipeline to automate the ingestion of COVID data in less than 2 weeks. The pipeline provides its clinicians fast access to real-time patient data and prediction models. As a result, Rush has been able to dramatically reduce data processing time from days down to a mere 15-minutes — allowing its clinicians to accurately predict case volumes, avoid shortage of critical resources, and help health care workers to make fast and accurate diagnoses. Talk about using data for good, Rush is literally saving lives as we speak.

 

Your 2020 finalists

Connect the data lifecycle

Data for Enterprise AI

Enterprise Data Cloud

  • DBS Bank
  • PWC
  • Service Management Group
  • West Midlands Police

Data Security & Governance

Data Champions

Data for Good

  • Discovery Health
  • Keck Medicine of USC
  • Reliance Jio
  • Rush University Medical Center

Industry Transformation

Highlighting achievements in 7 categories

The 2019 Data Impact Awards recognize organization's achievements with the Cloudera platform in seven categories:


Connect the data lifecycle

Organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to collect, enrich, secure, report, serve, and predict

Data for Enterprise AI

Organizations that have built and deployed systems for enterprise-scale machine learning and have industrialized AI to automate, secure, and standardize data-driven decision making

Enterprise Data Cloud

Organizations that are driving business innovation and agility by modernizing their data architecture and optimizing their infrastructure to unlock the value from data anywhere - in the private cloud or across hybrid and multiple public clouds

DATA SECURITY AND GOVERNANCE

Organizations that have centralized management, security, and governance of their data and metadata policies, ensuring consistent data lineage, and control

DATA CHAMPIONS

Organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed

DATA FOR GOOD

Organizations that have tackled some of the most challenging issues affecting society and the planet, making what was impossible yesterday, possible today and transforming the future

INDUSTRY TRANSFORMATION

Organizations that move their business to the next level and disrupt their industry by identifying new technologies, applying new skills, and operationalizing processes


Judges

The winners for the Data Impact Awards are determined entirely by a panel of thought leaders in the data management and analytics space. Cloudera does not select or influence the selection of winners for any category. 

Tony Baer Principal, dbInsight
Mike Barlow Author, Editor and Journalist, Cumulus Partners
Paige Bartley Senior Analyst, 451 Research, part of S&P Global Market Intelligence
Andrew Brust Founder & CEO at Blue Badge Insights; ZDNet Contributor and GigaOm Analyst
Philip Carnelley Research Director, IDC Europe
James E. Curtis Senior Analyst, Data, AI & Analytics, 451 Research
Jessie Cai Danqing Senior Research Manager, IDC Asia Pacific
Jessica Davis Senior Editor, InformationWeek/Informatech
Bertrand Gare Chief Editor, L'Informaticien
Bob Gourley CTO and Founder, OODA LLC
Doug Henschen Vice President and Principal Analyst, Constellation Research
Nick Heudecker VP Analyst, Gartner
Philip Howard Research Director, Bloor Research
Michael Hülskötter IT blogger & B2B Influencer, IT-techBlog.de
Roy Illsley Chief Analyst, IT & Enterprise, Omdia
Doug Laney Principal, Data & Analytics Strategy, Caserta
Cornelia Lévy-Bencheton President and Principal, CLB Strategic Consulting
Tony Lock Director of Engagement & Distinguished Analyst | Freeform Dynamics
Dr. Chris L. Marshall Vice President - Data, Analytics and AI, IDC Asia/Pacific
Nick McQuire Chief of Enterprise Research, CCS Insight
David Menninger SVP & Research Director, Ventana Research
Patrick Moorhead Founder, President, Principal Analyst, Moor Insights & Strategy
Sanjeev Mohan Vice President, Research, Gartner
Danny Mu Principal Analyst, Forrester
Yves Mulkers Industry Analyst, Data & Analytics Architect, 7wData
Holger Mueller VP and Principal Analyst, Constellation Research
Daniel Newman Principal Analyst and Founding Partner, Futurum Research
Carl Olofson Research VP, Data Management Software, IDC
John Pardey Chief Editor, IT-Administrator Magazine
Agatha Poon Research Director, 451 Research
Shiv Putcha Founder and Principal Analyst, Mandala Insights
Adam Ronthal VP Analyst – Data Management and Analytics, Gartner
John Santaferraro Research Director, EMA
Dave Schubmehl Research Director, IDC
Jen Stirrup CEO and Founder, Data Relish
Brian Wood Research Director, Dresner Advisory Services
Alex Woodie Managing Editor, Datanami

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