The connection between business analytics and data warehousing

by Andy R. Digital Marketing Expert

Over the years, it has been observed that business analytics (BA) and data warehousing are two common topics that go hand in hand. This is because it can be difficult for a business to analyze the data and come up with feasible predictions if the data has not been stored in an organized manner.In fact, a large number of applications used for this purpose are solely based on the data stored in a data warehouse (DW). Therefore, if you want to gain some useful insight into your past business performance, you must have a suitable DW at your disposal. As mentioned earlier, analytics and data.

However, in order to derive the maximum benefit, you must understand that how are these topics related to each other. Firstly, if you want to make informed decisions, you cannot afford to neglect your past performance. This is because you can only take some measures for improvement if you know what went wrong in the past. Similarly, you can continue to grow if you have been doing well in the past. Meanwhile, you will need the relevant data in order to undertake iterative exploration as well as investigation. This is will only be possible if you give you due consideration to data warehousing.

In fact, a warehouse can help you in several ways as far as your data is concerned. Firstly, if you want to maintain data history, you can do so with exceptional ease if you have a suitable DW at your disposal. Secondly, if you have multiple source systems, you can use the technique of warehousing in order to integrate the data with exemplary ease. Thirdly, if you are looking forward to satiate your restructuring needs, you can use warehousing and achieve the desired results. Needless to say, all these advantages can help you in making the most of business analytics (BA).

However, you will only be able to achieve the desired results if you make the necessary arrangements to deal with the problem of diversity of data. Moreover, it is also imperative for you to gain rich insights in order to ensure that your efforts do not go in vain. Therefore, you must act wisely when implanting warehousing as one of the techniques. In fact, you should ensure that your DW is capable of storing a large amount of data and its performance is not dependent on the size of your data. It is also important you can gain a seamless access to the data, as and when required.