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2020 Data Impact Award Winner Spotlight: United Overseas Bank

Cloudera

2020 was a year of immense change and disruption. Despite the challenges, 2020 also provided positive opportunities for forward leaps to be made in the realm of digital transformation. At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. .

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Data Intelligence in the Next Normal; Why, Who and When?

erwin

As we enter 2021, we will also be building off the events of 2020 – both positive and negative – including the acceleration of digital transformation as the next normal begins to be defined. Digital transformation was accelerated, and budgets for spending on big data and analytics increased.

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Why I Joined Alation: A Former Customer’s Story

Alation

Beginning a digital transformation journey in a big organization can feel daunting. How do you initiate change within a system containing many thousands of people and millions of bytes of data? billion in 2020. So you can probably imagine: The company manages a lot of data. It begins with recognizing a problem.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. .

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Business process management (BPM) examples

IBM Big Data Hub

BPM uses workflow automation to automate repetitive tasks such as data entry, reconciliation and report generation. Real-time visibility into financial data enables organizations to respond quickly to changing market conditions.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

In our modern data and analytics strategy and operating model, a PM methodology plays a key enabling role in delivering solutions. Do you draw a distinction between a data-driven vision and a data-enabled vision, and if so, what is that distinction? As defined in: Hype Cycle for Artificial Intelligence, 2020.