Information Silos: Perpetual Change Can Create Perpetual Problems

Information Silos: Perpetual Change Can Create Perpetual Problems

by Sue Dunnell.

Business demands are accelerating, putting more pressure on IT to make quick decisions about change, be sure those decisions will be accurate, and that changes can be executed flawlessly.

Whether adopting new technology stacks, migrating to the cloud, or managing demand for support on the edge, it has become increasingly complicated to ensure you can rapidly recover from any unplanned outages and remain compliant throughout any type of change or transformation.

Enterprise IT organizations have all the data they need to execute on top migration projects, but it’s difficult getting value out of that data, because it’s locked in silos.

Not only is the data stored in different systems, it’s not normalized. There may be duplication of data as sources are not synchronized. Many products have seat-based licensing, limiting access to just a few resources. Different users have access to different systems, and no single user has access to all data.

Often there’s simply too much data, and IT teams can’t pull it together fast enough to make a good decision quickly.

Because the data is difficult to get access to, IT wastes time finding and acting upon suspect information, often not even knowing if a better source of data exists for the purpose at hand. This deepens the distrust stakeholders have in many decision support tools.

In addition to the problems the sheer volume of data can present, not having have an accurate picture of the interrelationships of assets and infrastructure across increasingly complex, hybrid environments can cause migration projects to stall out completely.

If IT expects to meet the today’s pace of change and break down the silos of data, it’s essential to have a dynamic decision support platform built for centralized collaboration and planning.

The platform should combine, normalize, and consolidate data from multiple sources into a single repository.

Once data is aggregated, decision making can begin.

All members of a project team should have a consistent view of the data set across business units, and be able to:

  • Visualize groups of assets based on relationships and custom criteria
  • De-clutter imported dependency data (up to 95% reduction in complexity)
  • Quickly categorize workload and infrastructure mobility based on imported data
  • Identify and segment complex environments that require more planning and execution

If IT is expected to meet today’s challenges, isn’t it time to demand such a solution?

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Unstoppable: How IT Can Drive Change without Risk

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