The data maturity curve
As companies invest more and more in data access and
organization, business leaders seek ways to extract more
business value from their organizationís data.
92 percent of business leaders say that to compete in the future,
their organization must be able to exploit information much more
quickly than it can today.1
Chief Information Officers (CIO) need solutions that will allow
them to evolve their organizationís approach to data and drive real
value with strategic decisions. This journey can be depicted in
a data maturity curve.
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There are several steps along the SOC maturity curve and different paths to get there. Join the Foundstone Services team as they discuss the elements of a modern SOC, maturity levels, and strategic options.
This study showed that as companies adopt cloud strategies for sourcing and building IT services,
they are both expecting and achieving significant gains in business key performance indicators
(KPIs) including revenue growth, strategic IT budget allocation, IT costs, quicker time to provision,
and increased ability to meet SLAs. Further, our study showed that as businesses increased their
orientation to cloud, these KPI benefits accelerated. IDC has identified five stages of cloud maturity:
ad hoc, opportunistic, repeatable, managed, and optimized (in increasing maturity), and while
there are immediate benefits from moving even from ad hoc to opportunistic, the benefits accrue
and grow as you move up the adoption curve. Organizations studied are realizing $1.6 million in
additional revenue and $1.2 million in reduced costs per cloud application.
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