Poor data management can lead to inefficiencies, lost opportunities and possible security concerns. We believe RIAs know they have a data problem.

Implementing a modern data architecture prioritizing robust, continuous security is the most effective way to launch a data strategy. On top of the risks of using AI in the enterprise, businesses ...

Since you are modeling the future, if the changes are truly new, you won’t have data or history to rely on. This is called the “missing data problem.” I wouldn’t say I’ve been missing it, Bob.

2. Enhanced Problem Management through Data-Driven Insights Problem management, often seen as a cumbersome process of root cause analysis, is another area where Kamgaing’s approach shines.

Yet healthcare leaders say just 57% of their data is used to make intelligent business decisions, in large part because they can’t count on the data to be accurate, a HIMSS survey found.

The result is that data that is necessary for decision-making gets lost in the clutter. Reports that focus on status updates without providing actionable insights only add to the problem.

What’s next for real-time healthcare data management? Niewolny believes that the future of healthcare lies in personalized care, where treatments are tailored to each patient’s unique needs.

Too much privacy—just like too little privacy—can undermine the ways we can use information for progressive change, writes Orly Lobel.

However, collectively we have failed to pinpoint and solve for what EHRs lack, what they are not designed to do, and the true crux of health care’s data problem: sharing data.

Problem Management: Its problem management minimizes the business impact of service disruptions and reduces future disruptions using ITIL practices. Change Management: With ServiceNow Change and ...

With Problem Management, you can prevent the happening of issues and rapidly restore services. You can integrate IT data silos into a solitary system of record to let IT staff see the functioning of ...