Data Management Is Key to Digital Transformation

 
 
By Samuel Greengard  |  Posted 2017-04-12 Email
 
 
 
 
 
 
 
 
 
 

Digital technologies generate massive amounts of data. And, as business and IT executives know, managing the resulting information is a growing challenge. There's a need to build out IT systems and ecosystems that use data and information to create more efficient processes. However, many organizations are falling behind the curve, or haven't taken significant steps to address information management requirements. In a new report from AIIM, "2017 State of Information Management: Are Businesses Digitally Transforming or Stuck in Neutral?," the association's members were asked to assess their digital transformation status against several factors, including paper reliance, the use of multi-channel inbound capture, and the impact of digital transformation on individuals, business organizations and operational processes. AIIM surveyed 686 of its members and found that while digital leaders are focused on gaining a competitive edge—often through automation—laggards are focused mostly on efficiency and cost cutting, and they remain mired in paper workflows and processes. Here's a look at some of the key findings from the study.

 
 
 
 
 
Samuel Greengard writes about business and technology for Baseline, CIO Insight and other publications. His most recent book is The Internet of Things (MIT Press, 2015).
 
 
 
 
 
 

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