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Data quality is one of the biggest obstacles that organisations encounter and one that we help clients with daily. If you are experiencing data quality challenges, then using Data Virtualisation Tools (DVTs) could be an option to help solve your issues.
One of the primary causes of poor data quality is data being stored and managed in silos which would typically have a direct impact on data consistency, timeliness, and accuracy for example.
Historically, the approach to address this challenge has been to consolidate the data from all sources together in a single source, but experience has shown that, for a variety of reasons, this can be an overly complex, time-consuming, and difficult to complete successfully exercise.
In recent years, organisations have turned to DVTs, such as Fraxses to help manage the complexity and risk associated with the breakdown of silos and the creation of the single source of data.
DVTs connect to multiple disparate data sources to discover and create a view of the data as if it were in a single source viewed in one place, without it being physically moved.
Users can bring together any number of these data sources simultaneously, in real-time, thereby avoiding the need for traditional, time intensive ETL processes. This approach has the added benefit of allowing data being brought together through this mechanism to undergo data profiling and quality checks at the same time, without impacting BAU. Furthermore, this facilitates a more efficient centralisation of issue management and remediation, the outcome of which is fixing data at source.
Overall, the business achieves far greater visibility and ability to implement a more consistent data control framework across all different data sources leading to improved consistency, accuracy, timeliness, validity, etc.
Updates to data at source are reflected everywhere the data is used in the supply chain, allowing for maximum accuracy and consistency across systems and reporting for those consuming the data.
The changes, and where they happen, can be tracked using these tools, making it possible at any time to show where data has come from and the manipulations and modifications that have taken place throughout the journey.
Real-time data sourcing also avoids timeliness issues and enables real-time updates to reports and analytics dashboards. Additionally, many DVTs come with built-in reporting and advanced analytics capabilities, further streamlining an organisation’s data journey and increasing the value it can drive from them.
For more information on how DVTs can help improve your organisations data quality issues, please contact Scott Anderson and Steven Whaley.
