Image: nicolaaskham.com
Timothy Valihora draws on over 20 years of experience in technical architecture to develop and implement a wide range of data management solutions. Skilled in the use of software suites including IBM InfoSphere, IBM WebSphere, Oracle, and Cognos, Timothy Valihora possesses extensive knowledge in the area of data governance.
As businesses develop strategies to manage an ever-increasing volume of data, new regulations continue to define the standards that they must meet in keeping recent, relevant, and accurate records. As noted by Nicola Askham of ITProPortal, there are a number of simple mistakes that organizations should strive to avoid when implementing data governance strategies.
First and foremost, data governance should be a collective effort. While IT professionals will often have the vision and expertise to drive successful data management overhauls, the actual quality of a business’ data will not improve without new considerations at the point of entry. Furthermore, a business should view data governance as a company-wide operational shift rather than a temporary project. Simply consolidating data governance into a few items on a checklist likely will not generate the level of commitment needed from the entire organization to successfully manage its information.
The same holds true when data governance efforts are the result of regulatory pressure rather than internal innovation. Striving to comprehensively improve the company’s data governance rather than merely meeting the regulator’s minimum requirements will help to lessen the organization’s long-term workload by implementing efficient, lasting data governance protocols.
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