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Welcome to Data Matters!

sharing big data worldwide

Let’s begin by stating the obvious: Data does matter. Now more than ever.

We are living in a time of great technological evolution and revolution in all the economies of the world, and in every sector – finance, government, health, research – you name it. Data creation, collection, and analysis are the cornerstones of this disruption.

Why? People and organizations are re-awakening to the importance and potential of data. We collect and process more data now than at any time in history. The potential use and misuse of all this data is staggering.

We’ll focus some of our blogs on data governance, but we’ll have even more to say about harnessing data to unleash business and organizational benefits. We’ll also challenge conventional wisdom on what’s needed to achieve success in Big Data.

Big Data is not completely new. It is an evolution of how we value all things data and look to harness its power. However, our capacity to create, collect, and analyze data has dramatically increased over the last decade. As a result, organizations need to think differently about business processes and how those processes are implemented – with policy as well as technology in mind. This thought process will greatly determine success, not only in selecting Big Data technology and talent, but in leveraging Big Data itself.

I and my peers look forward to engaging you in conversation and debate on these topics in the coming weeks. Check back here often, or signup via your preferred social feed to get notified of new content.


Andere Berichten Die Je Misschien Leuk Vindt.

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Combining both internal and external data improves performance in trading, while gaining greater insights into reducing risk and regulatory compliance.
As digitalization increases in financial services, firms are dealing with a much higher volume of data in a variety of formats, from structured to unstructured.
Silos, complexity, and governance requirements are making it difficult for financial firms to democratize data. Here’s how new data technologies could help.