If Only I Had It

SAS Data Quality Solution provides an enterprise solution for profiling, cleansing, augmenting and integrating data to create consistent, reliable information. With SAS Data Quality Solution you can automatically incorporate data quality into data integration and business intelligence projects to dramatically improve returns on your organization’s strategic initiatives.

Most of the time performance issues are also due to Data Quality and this results in downtime, slow access and even Business Intelligence reports that are not accurate.

Some of the benefits of Data Quality are as below ;

• Improve key data areas through data quality profiling. Profiling capabilities allow you to determine where potential problems exist and what efforts will be required to rectify them. You can then focus on root cause analysis, improving key data areas and processes for better planning and project execution.
• Achieve a unified, accurate view of data. With SAS Data Quality Solution, organizations can incorporate data quality business rules across data sources and platforms. By implementing standard and custom processes, data from different systems can be regulated and standardized into a unified, accurate view.
• Support changing business needs through customization. Specialized interfaces make it easy to create and change data quality rules according to business needs, as well as visualize the impact of those rules. State-of-the-art tools enable thorough execution of the data quality processes that you define.
• Provide decision makers with trustworthy information. Accurate, consistent, valid and reliable data delivers consistent reporting and analytic results. By automatically integrating data quality into data integration processes, you ensure that data used for business intelligence and analytics will be current and accurate.

Below is a screenshot of SAS Data Quality software which I am currently using in my organisation.

Most Business Intelligence tools and companies always overlook the importance of Data Quality. Their main goal is to sell their product and get the implementation done. The end result often leads to a result inaccurate reports. These inaccurate reports are then taken by the companies that have purchased the Business Intelligence software as correct and then wrong decisions are done which might cost millions of dollars.