March 22nd, 2013 by Happy Data Geek
What type of discussions are you having with your strategic data solution providers?
Initially USEReady is often asked to fix a report or two, or to provide an amazing dashboard for marketing. But then, as the relationship evolves, the conversations turn to data strategy. What role should the IT group play,? How does the CIO manage data? What are best practices for traditional BI and Analytics 3.0. How do they live side by side? What is possible with Visual Analytics, Big Data? Where is the real impact on the organization? What are the risks and how to manage them?
We agree with Gartner’s finding below because we have helped companies successfully implement traditional and analytics 3.0 side by side.
WSJ arsticle by Joel Schectman
As data analysis becomes mainstreamed within organizations, CIOs run the risk of becoming bypassed. But putting data analysis in the hands of more workers comes with its own risks.
A new study from Tableau Software Inc. suggests CIOs are not seen as being in charge of data management strategy, a responsibility which can include how to best utilize customer information to leverage growth. The survey of 530 senior executives found 27% of respondents believed their CEOs were primarily responsible for data management strategy, compared with just 21% who said CIOs were at the helm. Indeed, CIOs only tied with senior business executives when it came to being viewed as being bosses of data strategy. Taking out IT as the gatekeeper of centrally stored data can promote “better fact based decision making across the organization,” said Ted Friedman, an analyst at Gartner Inc.
A diffusion of responsibility over data strategy is part of a broadening use of analytics beyond IT staff and specialists. The study found 51% of respondents believed employees across an organization should use data analytics, compared with just 18% who believed analysis should be left to analysts or IT staff. As businesses collect more and more data, there’s a growing push to find ways to use that information to promote efficiency across the enterprise. And new Web-based analysis tools like Tableau can often be purchased without input from IT, while allowing workers to tap into silos of data within departments.
But while allowing more autonomy in analysis can make organizations more agile, bypassing the CIO can have unintended side effects like risks to privacy and the quality of the analysis, says Gartner analyst Merv Adrian. “If you don’t have to go through a procurement process and IT, you’re a lot freer to do what you want,” said Mr. Adrian. “But all of that carefully constructed governance is completely undermined, you can be drawing incorrect conclusions, and exposing risks to privacy because they are doing things IT hasn’t vetted.”
Decentralizing control over how data is used and analyzed can leave companies struggling to decipher which numbers to trust, Mr. Adrian said. Without someone making sure that terms like “customer” or “visit” are defined the same across datasets, different units could end up having incongruous numbers, Mr. Adrian said.
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