Data, which is maintained conscientiously and always up-to-date, is indispensable for a frictionless running of many business processes in a company. Especially clean master data forms the backbone for a functioning everyday business. Although high data quality is becoming more and more relevant, especially in times of digitalization and big data, many companies, are still neglecting the issue of data cleansing.
Most of the time, this is due to the lack of time and personnel for a continuous monitoring of the internal and external data. Thereby, company data can definitely be called an economic asset nowadays. In most cases, by using a system for many years, more and more information, which is not even needed in the end, is collected. The result is an inconsistent database, which makes the structures more and more complex. This unnecessary waste of data interferes with daily business by significantly decreasing productivity and performance in a company and making important processes more complicated.
Data consolidation with Business Intelligence tools
With the help of an extensive data analysis, inconsistent or even wrong data can quickly be identified and corrected. Experience has shown that the early use of a flexible business intelligence solution – in addition to the subsequent use as a classic BI tool – to eliminate databases, which are faulty or no longer needed in your own system, will pay off. An external solution, such as QlikView und Qlik Sense, which was implemented on time, can, for example, serve as an optimal analysis tool.
Especially during the introduction of a new business software or the update to a newer version of the used system, checking and cleaning the existing databases is recommended before the migration of the data. Thus, unimportant old burdens are not transferred to the new, still clean system and will not interfere the handling of daily business processes in the future. On top of that, the available information can be used as a solid basis for efficient business decisions. So, free yourself from this useless data waste – we would be glad to help you!