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Celebrating data superheroes

Shine a spotlight on your success.

Cloudera Data Impact Awards

Showcasing your success with data

This annual program recognizes the best of the best organizations: leaders of industry and creators of innovative solutions leveraging the Cloudera platform. We showcase the impact your projects have within your organization, on your business’ bottom line, and on the world. The 2019 Data Impact Award winners are listed below.

We will see you again next year!

#DataImpactAwards

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

Your 2019 winners

Data from the Edge-to-AI

Manulife

Customer centricity sits at the heart of Manulife’s strategy. One challenge Manulife faces, like many other businesses, is customer data being scattered and locked up across operating systems in various forms – call logs, SMS, emails, service center dialogues, claim forms, website interactions, etc. To solve this problem, Manulife’s in-house data team built an Enterprise Data Lake (EDL) – a robust enterprise-wide data backend supporting digital connection, report automation and AI & advanced analytics development. Now all customer interaction data is ingested in one place and updated daily. In-house data scientists and data engineers collaborated to create a world-class Customer Contacts Insights Center (CCIC): a web-based analytics platform providing a searchable single view of customer insights to business users’ fingertips. CCIC integrates state-of-the-art visualization, machine learning and natural language processing (NLP) models into a user-friendly platform. It gives business users end-to-end, easily searchable customer journey insights. It also enables use-initiated analysis such as word clouds, sentiment analysis, and intent analysis. With the integration of all data in EDL and powerful advanced analytics in one platform, CCIC has replaced thousands of stand-alone queries and significantly shortened the time gap between data and action. It has improved customer data insights, ultimately resulting in a better customer experience.

Data for Enterprise AI

United Overseas Bank

United Overseas Bank uses the Cloudera suite of tools and services in support of their artificial intelligence and data science roadmap to drive the adoption of AI initiatives. Using Cloudera Data Science Workbench as the standard operating platform for data scientists to collaborate, the delivery of AI and data science models is made faster and more efficient. The adoption of AI and data science is quickly growing across the organization where there is a good variety of AI and Data Science use cases across 12 business units and functions. The projects range from using natural language processing to report on market trends, to personalizing features and services to engage customers more meaningfully. Notable implementations include a suite of advanced machine learning capabilities that help analysts conduct AML surveillance more efficiently by greatly reducing the amount of false positives in generated alerts, as well as a market sentiment solution that uses natural language processing to analyze multiple years of investment analyst reports, enabling executives to better understand analyst sentiment and predict potential questions and opportunities as they prepare for briefings.

Data Anywhere - Tie

First National Bank

First National Bank (FNB) – one of South Africa’s “big five” banks – built a Data Reservoir to break down silos across the 40+ business unit within their Enterprise. In partnership with IBM and Cloudera, their data and analytics platform transformation initiative is enabling the business to better understand clients, ultimately providing a better banking experience. FNB is expanding its leadership position through its scaled and trusted data-rich platform. By using technology efficiently and increasingly leveraging the big data toolset, FNB helps customers navigate their financial journey with new solutions via the contextual financial services platform. This has allowed the bank to drive cross and upsell opportunities that continue to deliver product adoption across segments. FNB has seen substantial savings over three years by offloading from their legacy data warehouse and they continue to offload into their Cloudera-powered Data Reservoir.

PwC

PwC built their Global Data Platform to help meet client needs in their operational geographies and help enable their teams with global insight for uncovering hidden risks and identifying areas for growth opportunities. The platform ecosystem empowers teams to connect with data in new and innovative ways to serve clients more efficiently and securely. The platform was particularly challenging to build given PwC’s organizational structure, a global network of firms in 158 countries with different data sovereignty requirements, and professionals leveraging the platform across a network of firms. Through use of the platform, PwC is able to achieve faster scalability, lower analytics costs, built-in disaster recovery, and improved access control and data protection. Cloud computing deployment in the platform provides flexible infrastructure that can be scaled up and down according to the business needs at any time, simplifying the ability to manage workloads. The platform has resulted in major operational efficiencies across many of PwC functions and teams.

Data Security and Governance

Bank Rakyat Indonesia

By replacing its legacy systems with Cloudera Enterprise, BRI’s Big Data and Analytics teams are now able to derive new insights and obtain an in-depth understanding of their customers, allowing BRI to make strategic data-driven decisions for better efficiency, productivity and growth. But none of that would be possible without addressing the mounting data security concerns from both regulators and consumers. Striving to enhance the security of its operation and services, the team at BRI developed a real-time fraud detection system, BRIFORCE, using Cloudera Data Science Workbench and Apache Kafka, which allows operators to process and highlight anomalies found in event streams from customer touchpoints such as ATMs and internet banking portals. Where it previously took fraud teams anywhere between two weeks and two months to detect and flag fraud, BRIFORCE has made this process instantaneous. Working with Cloudera has enabled BRI to leverage artificial intelligence and machine learning in new ways, powering solutions that enhance data security and governance while delivering a delightful customer experience.

Data Champions

United States Census Bureau

The mission of the U.S. Census Bureau is to be the nation’s leading provider of quality data about its people and economy. With that in mind, the Census Bureau is using open-source technology and high-performance hybrid cloud infrastructure to transform how the agency processes demographic and economic data using an Enterprise Data Lake (EDL). The EDL will enable the Census Bureau to aggregate and manage data from various sources and improve datasets and data products for all types of users. Communities rely on Census Bureau statistics for everything from planning for new businesses, schools, roads, hospitals, job training centers and seniors’ health care needs. All of the information collected through the Census Bureau is confidential and protected by federal law. The EDL will manage complete data lineage, security, and governance of the data lifecycle within the Census Bureau while supporting new capabilities for processing and analyzing the data to produce quality data products.

Data for Good

Ascension (nominated by StreamSets)

Antimicrobial resistance is one of the most pressing global public health issues today – significantly complicating the treatment of infectious diseases, driving healthcare costs up, and resulting in increased morbidity and mortality. With Cloudera and Streamsets, Ascension’s Clinical Research Institute (ACRI) launched a full-stack big data solution for tracking Antimicrobial Use and Resistance and automating the reporting of those results to the CDC. On the Cloudera platform, Ascension can analyze a variety of health records and can gather a detailed understanding of the distribution patterns of infectious disease. Facilities can interpret antimicrobial usage data monthly facility-wide and by location, which allows for a more detailed analysis of areas of opportunity. By sharing this data and defining standards and protocols, Ascension has given its facilities the ability to benchmark their usage and adopt best practices related to antimicrobial stewardship and infection prevention. The use of the Antimicrobial Use & Resistance (AUR) module has been an effective tool to steer teams to areas of focus to improve care. Over the last year, Ascension has seen improvement in mortality for patients cared for with sepsis and other infectious diagnoses by more than 11% – underscoring the importance of combining the use of data, incorporating the best practices into the electronic health records, and clinician engagement to achieve best outcomes.

Industry Transformation

Axiata

In 2017, Axiata established Axiata Analytics, a cross-company center of excellence which delivers transformational projects through the use of innovations in AI, ML, and Data Science. In two years’ time, Axiata has achieved large-scale business transformation with use cases spanning from customer churn reduction, optimizing marketing spend, telecom network optimization, raising revenue, all-the-while improving productivity and achieving massive cost savings. With the ability to extract valuable insights from telecom data – such as customers’ mobile usage and network traffic – and third-party data on customer preferences, offline marketing data, and behavior patterns, Axiata can provide stakeholders with data-driven actionable intelligence. As one example, Axiata developed an omni-channel multilingual customer service chatbot in local languages such as Sinhalese and Khmer, which handles 50% of queries without human intervention. Furthermore, by automating network complaint reports, Axiata reduced incident handling time. To further combat network coverage issues, an advanced analytical model helps to optimize coverage, energy, and microwave capacity towards sites with high revenue and higher customer impact.

Your 2019 finalists

Data from the Edge-to-AI

  • Manulife
  • Schneider Electric
  • Telkom Indonesia
  • The Royal Bank of Scotland (nominated by StreamSets)

Data for Enterprise AI

Data Anywhere

Data Security and Governance

Data Champions

Data for good

  • Ascension (nominated by StreamSets)
  • Be the Match / National Marrow Donor Program
  • Global Biodiversity Information Facility
  • NYU Langone Health

Industry Transformation

  • Axiata
  • Early Warning (nominated by StreamSets)
  • ExxonMobil
  • Regions Financial

Highlighting achievements in 7 categories

The 2019 Data Impact Awards recognize organizations’ achievements with the Cloudera platform in seven categories:

Data from the Edge-to-AI

Organizations that have tackled transformative business use cases by running advanced analytics and machine learning workloads against data spanning from the Edge to the data center or cloud (including multi or hybrid cloud deployments)

Data for Enterprise AI

Organizations that have built and deployed systems for enterprise-scale machine learning and artificial intelligence to drive business outcomes

Data Anywhere

Organizations that have modernized their data architecture, innovatively optimizing their infrastructure to unlock value from any data, anywhere—on-premises 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, improving business agility and insight, modeling and reducing business risk, securing data, preventing fraud, and/or meeting regulatory compliance with success

Data Champions

Organization who contributed in an extraordinary way to the community, sharing expertise and best practices, and helping other customers be successful

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


Data Impact Award prizes

Join the best and brightest minds at Strata Data in New York

This 3-day premier conference will give you access to learn and network with data innovators and thought leaders from around the world.

Attend a complimentary Cloudera OnDemand course

With over a dozen expertly designed courses, Cloudera OnDemand offers an industry-leading, dynamic training curriculum.

Be our guest at the Data Impact Awards celebration

Join the elite group of award winners as our VIP guest as we honor and highlight your achievements and contributions on Tuesday, September 24, 2019, in New York.

Recognition as an industry leader

You will be recognized as a Data Impact Award winner in the announcement press release, highlighted in the Cloudera Vision Blog, promoted via social media, and featured in a success story detailing your achievements (optional).

Prices valued at USD $5200. We recognize that some organizations will not allow acceptance of gifts or prizes, and thus neither will be provided where it violates applicable ethics rules. Winners will still receive recognition.


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.

  • Matt Aslett, Research Vice President, 451 Research
  • Tony Baer, Principal, dbInsight
  • Mike Barlow, Cumulus Partners
  • Paige Bartley, Senior Analyst, Data, AI & Analytics, 451 Research
  • Jean Bozman, Vice President and Principal Analyst, Hurwitz & Associates
  • Andrew Brust, Founder & CEO at Blue Badge Insights; ZDNet Contributor and GigaOm Analyst
  • Philip Carnelley, Research Director, IDC Europe
  • Jessie Cai Danqing, Senior Research Manager, IDC Asia Pacific
  • James E. Curtis, Senior Analyst, Data, AI & Analytics, 451 Research
  • Jochen Demuth, Research Director, Dresner Advisory Services
  • Michele Goetz, Principal Analyst, Forrester Research
  • Bob Gourley, CTO and Founder, OODA LLC
  • Nick Heudecker, VP Analyst, Gartner
  • Bill Hostmann, Research Fellow, Dresner Advisory
  • Philip Howard, Research Director, Bloor Research
  • James Kobielus, Lead Analyst, SiliconANGLE Wikibon
  • Cornelia Lévy-Bencheton, Principal, CLB Strategic Consulting, LLC
  • David Menninger, SVP & Research Director, Ventana Research
  • Nick McQuire, Vice President, Enterprise Research, CCS Insight
  • Sanjeev Mohan, Research Analyst, Gartner
  • Danny Mu, Principal Analyst, Forrester
  • Holger Mueller, Principal Analyst & VP, Constellation Research
  • Yves Mulkers, Industry Analyst, Data & Analytics Architect, 7wData
  • Carl Olofson, Research Vice President, IDC
  • Adam Ronthal, Research Director, ITL Data and Analytics, Gartner
  • Ronald Schmelzer, Managing Partner and Principal Analyst, Cognilytica
  • Dave Schubmehl, Research Director, IDC
  • Kathleen Walch, Managing Partner and Principal Analyst, Cognilytica
  • Alex Woodie, Managing Editor, Datanami
  • Noel Yuhanna, Principal Analyst, Enterprise Architecture, Forrester

“The Data Impact Awards: this is the 'academy awards' of data solutions.”

— Bob Gourley, Founder Crucial Point and Publisher, CTOvision.com; 2018 Data Impact Awards judge

More details

  • Nominees must be on the Cloudera platform running in a production environment to qualify. Nominees need not be paying Cloudera Enterprise customers.
  • Cloudera will treat data collected from you in accordance with the Cloudera privacy policy.
  • Click here for Official Rules and more details.

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