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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. Additionally, it continuously explores reams of data and modern tools to improve its capabilities and adapt to the changing data landscape.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them.

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Paul Martin: CIOs don’t retire, they go work on boards

CIO Business Intelligence

It’s giving companies an opportunity to rethink how they interact with customers, connect with supply chains, and drive internal operational efficiencies. I joined Baxter as CIO in 2011, and in 2016 I was presented with the opportunity to join my first public company board. How did that opportunity come about?

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LinkedIn and Year Up partner for a more diverse IT future

CIO Business Intelligence

LinkedIn is one such company giving IT pros an opportunity to make a difference as part of a longstanding partnership with job training nonprofit Year Up, which began in 2011 when LinkedIn’s first CEO, Jeff Weiner, saw the value in working with the Year Up to open the talent pipeline and to give back.

IT 104
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The Future Is Hybrid Data, Embrace It

CIO Business Intelligence

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Our goal is to give every business the ability to achieve these same types of advantages to move faster in a much easier way. We live in a hybrid data world.

IT 72
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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Fun fact: in 2011 Google bought remnants of what had previously been Motorola. Most of the data management moved to back-end servers, e.g., databases. Instead, they refactored their monolithic web apps (e.g.,

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Winning the Future: Digital Transformation, the Cloud, and AWS

Sisense

Analytics and business intelligence (BI) are no longer the province of a handful of specialized experts. The rise of cloud data storage has completely changed the business world. It also provides a semantic layer for you to connect and interact with all your data, wherever it is, during your migration.