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Data quality management is very essential for any company or organization. There are multiple issues related to quality that business houses can actually face over a particular duration or period. These are usually seen to occur due to lack of proper strategies and techniques to stem the rot. Data policies have to be thoroughly refined and calculated for better success of a particular company. In many ways, managers should ideally leverage CRM platforms for fulfillment of some pertinent needs of the organization which is not always the case.
This includes data cleaning operations for all customer generated data which is usually a short term affair. Alongside, business users have to be made aware of the critical role played by good data. Data quality tools are required to maintain uniformity and balance for all useful data for a company. These are pertinent approaches to problems that companies usually face and should definitely be looked up by company managers and honchos.
Data governance is another area where companies usually fall short! Proper governance mechanisms are highly essential for maintaining data quality and improving it over a period of time. Quality issues can occur due to comply MDM practices which are another area that describes careful attention. Companies usually end up neglecting the importance of data quality improvement and cleaning due to multiple reasons.
Improper calculation of expected costs and the overall budget of data quality improvement activities is another reason for firms and companies shying away from the same. The ROI calculations are often terribly wrong, without a proper delineation of future savings and this often acts as a major hurry towards garnering acceptance for such processes in an organization.
Data quality maintenance is vital for the proper functioning of any business. Companies are only alerted to this operational area in case of projects which involve data warehousing, migration or integration. Alongside, companies often believe in laziness and lack of interest as key reasons for data related issues. Business rules and regulations are routinically enforced as a common problem solving method in these cases and nothing more
The lack of proper resources is often a hindrance for many a company. In the absence of a dedicated data steward in the team, the process does not quite count as noteworthy for most companies. All in all, the importance of data quality improvement can never be underestimated if companies want a brighter and hiccup-free future ahead!