Organizations are gaining awareness that they are collecting a huge volume of data, which is not being used for better business insights. The main reason is that the data transformation into consistent, accurate, comprehensive, and current information is missing.
It is not an issue that technology can resolve but needs organizations to establish and commit to a data governance initiative. Companies need to treat data as their business asset via enforcing definitions, standards, policies, and processes.
Many companies have launched data governance programs but the success rate isn’t encouraging. If your business is also the one that lacks the efficiency of data governance initiative then consult EW Solutions. It is one of the best data governance services offering companies large or small advice and training on DG management and strategies. Here are some worst data governance practices to avoid or you can be pushed towards the wrong track.
Approve DG program but ignore the commitment
Business executives approve data governance sponsorship and designate people on the governance committee. This is the essential first step but there is a lot more business-side people MUST do.
- Create data definitions, define rules and policies, identify key performance indicators
- Achieve approval from the entire company
- Enforce use and compliance
- Update regularly as business needs to change and evolve
Data governance tasks must not be tacked on already overloaded schedules but made a priority with corresponding responsibilities taken away from their to-do lists. Real commitment from people is essential or the data governance implementation will fail.
Try to resolve all data issues at the start
Data governance efforts can get trapped in trying to resolve every data issue the organization experiences in its initial phase of implementation. The biggest data problem that spans the entire company is possibly too political.
Establishing a DG program and simultaneously handling data issues that took years to build is not possible. You will need to ponder internationally and act nationally. It means to break down the data issues into incremental deliverables. Trying to resolve too huge, too fast can be an invitation for a catastrophe.
Assuming technology is the only solution
Many businesses invest in data quality or data integration or master data management software or blend the three to deal with their DG program. Vendor hype paired with costly price tags often sets expectations about the software’s capabilities.
It is claimed to do the hard task and avoid offensive individuals, processes, and political problems. Unfortunately, the claim is not right. You can successfully buy valuable software but it is the internal communication that makes or breaks a DG program.
Overlooking the data shadow systems
Businesses concentrate on transactional record systems and BI [Business Intelligence] systems as they feel that each crucial data is stored there. Unfortunately, the key information is present in the ‘data shadow systems’ that are spread across the business. For example – the authentic analytical findings and BI reports used by the staff often end in spreadmarts within Excel. It is crucial data that must never be ignored.
Business data governance is to be a combined endeavor between IT and business. Organizations struggle with issues when they implement governance programs in the wrong way. If you stay away from common governance errors, you will progress towards data governance success.