Celebrating data superheroes

 Data Impact Achievement Award

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.