Time and again we say how important uniform data management can be for a smooth workflow. If you have never worked with large amounts of data, Excel and the like seem to be a good solution for holding and analysing data. At some point, it is realised that this is no longer enough and an ERP system such as SAP Business One is introduced. Often years later, the next step follows: the data warehouse.
From the database to the data warehouse
databases or database systems are usually used to manage customer and billing data, control inventory and handle accounting.
In most cases, the so-called data warehouse is also used. The data from different sources are uniformly recorded in this warehouse as soon as the corresponding business transaction is completed. This turns the data warehouse into an archive. For example, information is also stored that cannot be assigned at first, but may be relevant later. A good example here is always the address data to be used in marketing.
Tap into multiple data sources
In this sense, the data warehouse as a kind of data pool in the company is the basis for many decisions.
The data collections are implemented with data warehouse systems. Data is collected from different sources. Then they are put into uniform formats in order to process them for queries.
SAP HANA - the new strategy for data analysis
The use of a data warehouse is not really widespread among medium-sized companies. In combination with SAP Business One, this will only make limited sense in the future. Because with the analytical possibilities of SAP HANA idata mining has entered a new dimension. While the approaches of Warehouse and Analytics-DB HANA are different, they can both deliver similar results.
Do not forget data protection
Of course, the strict guidelines of the data warehouse also apply to the Data protection. In particular personal data are subject to these rules. With the new EU General Data Protection Regulation (GDPR) looming on the horizon, this becomes all the more important.
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Data warehouse or data lake
