What is the biggest data problem all organizations face today?
Some might point to the explosion of data volumes. And they’re right that it’s a challenge: on average, companies pull data from more than 400 different sources. Others would cite changing data environments, and with 85% of companies predicted to be cloud-first by 2025, this seems like a strong contender. Still others might argue that these and other factors contribute to the overall challenge of integrating all this data. After all, collecting data from hundreds of different sources, on-premises and in the cloud, and figuring out how to successfully transform it, govern it, and share it isn’t getting any easier.
These are all valid points, but they’re missing the bigger picture. The biggest problem organizations face today is actually getting value from their data. To transform your data into real, tangible
business value, you need to completely rethink how you understand and work with data. The solution to this problem is a concept called data health. Data health describes how well a company’s data supports its business objectives. Healthy data is easily discoverable, understandable, and of value to the people that need to use it. When data is healthy, organizations can focus on using data to meet business objectives rather than struggling to find it or questioning its credibility. Data health is driven by multiple initiatives and transformations, and establishing data excellence is one of the essential steps on the journey to healthier data.
In this roundtable, our data expert Armin Wallrab will provide you with valuable real-life expertise on how to put the right data excellence strategy in place and immediately produce tangible business results — including improved business agility, increased team productivity, and reduced compliance risks.
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