Complete, accurate, actionable and current data: the dream of every IT manager. The corporate world increasingly embraces the importance of data quality, but the optimization and above all the preservation of data quality requires discipline and planning. Short data quality optimization stints are like bad diets: they do yield short-term results but end up in a yo-yo effect in the long term.
Type 2 Solutions has helped businesses to optimize their data for many years. “We answer questions from businesses about data quality almost every day. That is a good thing, because it is badly needed, especially in today’s connected business environment where data problems can lead to severe issues, if not hefty fines.” says Jack de Hamer, partner at data management specialist Type 2 Solutions.
“ The increasing digitization of the business environment and stricter requirements of web giants such as bol.com and alibaba most certainly drive the increased awareness of data quality in the market. While master data often has to be provided only once, the quality and accuracy are frequently insufficient. More often than not there is no proper process in place to monitor and preserve data quality. ”
Where to Start
De Hamer observes that businesses often do not know where to start when it comes to data quality optimization. “A one-time cleansing exercise for a specific purpose is not a solution. There are more benefits to a long-term solution.” And by long-term solution, de Hamer means data quality monitoring software. Those solutions are able to monitor the quality of large data volumes and should be able to notify the owner of the data when exceptions occur.
De Hamer recognizes that data quality optimization is not the core business of most companies. “A manufacturer makes products, and all its processes are geared towards doing that as efficiently as possible. Data quality optimization requires a whole different set of skills.”