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.
2019 Winners were announced at the Strata Data Conference in New York. Organizations were nominated by their employees or by partners, vendors, or peers, with nominee consent.
The winning organizations' implementations demonstrate outstanding objectives in their mission, technical advancement, and overall impact.
Your 2019 winners
Data from the Edge-to-AI
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 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.
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.
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 for Good
- Ascension (nominated by StreamSets)
- Be the Match / National Marrow Donor Program
- Global Biodiversity Information Facility
- NYU Langone Health
- Early Warning (nominated by StreamSets)
- Regions Financial
Highlighting achievements in 7 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 distributed machine learning and artificial intelligence at scale, driving business outcomes and benefiting customers with “industrialized” AI across the enterprise
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
Organizations that have contributed in an extraordinary way to the community, giving back by sharing expertise and best practices and helping other organizations to 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
Organizations that move their business to the next level and disrupt their industry by identifying new technologies, applying new skills, and operationalizing processes