How can your organization use mature data and information governance to balance risk with business opportunity, drive innovation and promote data-driven decision making?
Organizations are creating more data than ever before, and striving to use as much of this data as intelligently as possible to drive innovation, reduce risk and enhance corporate success. In fact, according to the IDC, the amount of data created over the next three years will equate to more than the previous 30 years combined.
But why is this proliferation of data so problematic? Firstly, it’s too much for some companies – and their chief data officers – to handle. It is being wasted, unused and lost because there is simply too much to process. In the short-term, this hinders an organization’s ability to make meaningful progress. But in the long-term, it creates mistrust, restricts governance and diminishes value.
Traditional data governance focuses squarely on mitigating risk. But in doing so, companies miss out on potentially vital opportunities to capture value from their data. Join Insight and a select group of industry leaders to discuss how to use mature data and information governance to balance risk with business opportunity, drive innovation, promote data-driven decision making and enhance corporate success.
Insight Enterprises, Inc. is a Fortune 500 solutions integrator helping organizations accelerate their digital journey to modernize their business and maximize the value of technology. Insight’s technical expertise spans cloud and edge-based transformation solutions, with global scale and optimization built on 33+ years of deep partnerships with the world’s leading and emerging technology providers.
Find out more www.insight.com
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more.
Find out more www.microsoft.com
What does it mean to drive value from data beyond the obvious analyze/decide/profit pattern?
What does it mean to trust data, and how can we instil that trust?
How can we democratize data while retaining solid governance?
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