Data warehousing is basically a set of techniques which includes gathering data from a host of different sources and managing and operating the data which is collected. Data warehouses allows the companies to analyze the data and get valuable insights from the huge pool of information.
Data warehousing empowers the businesses to strategically use the high volume of data. Data warehousing is all about storing a huge quantity of data electronically, and operating it to get the most of out. The data is collected for both analysis as well as query and not only for the transaction processing.
Data warehousing involves the method of transforming data into insights. The whole purpose of data warehousing is to make the data accessible by the users. Also, data warehousing reduces the time taken to gather and manage the data.
How important is data warehousing for a business?
Data warehousing is important for the proper utilization of Big Data. It is the main pillar of the Business Intelligence process. As, warehousing is important for data analysis and reporting as well. Therefore, there is no doubt about the fact that data warehousing is important.
It is extremely important for both Big Data management and analysis. At the same time, it plays a major role in the BI process. As, the core of the BI process is data management and analysis. Hence, companies need a very powerful data warehousing solution in order to make sure that the data is collected, stored and maintained in a safe manner.
And, when it comes to the speed of BI operations, there also, data warehousing solutions play a key role. Only when the data is collected and analyzed in a quick and efficient manner, then only valuable information can be churned out, efficiently and in a timely manner form the huge chunk of data.
Improper data warehousing severely effects the Business Intelligence process
Business Intelligence process is all about collecting a huge amount of data from different sources and then operating it to get meaningful insights from it. But, BI involves the collection and analysis of a certain type of data.
At the same time, the insights generated from the data are then further evaluated to prepare topnotch BI strategies. But, at the end of the day, the core of any BI process is definitely data warehousing.
If a company does not adopt a strong data warehousing solution, then the chances of gaining BI success are less. As, data warehousing is the initial, but the most important step taken for BI. If the data is not collected properly, then there is no way one can get useful information from the data!
Therefore, the data warehouses should be perfectly build to collect data from various sources. They should be connected with several different mediums to make sure that data comes in from a wide range of different places. At the same time, it is also important that data warehouses should store the data securely.
Safety of data is utmost important for any BI process. Therefore, make sure that you only adopt a tool that is built to safeguard the data of the company.
Data warehouses should be constructed to manage the data properly. If they don’t handle the information carefully, then it becomes very difficult for the experts to do proper data analysis. Also, it is important for the data warehouses to efficiently transfer the data for analysis or reporting whenever needed.
When it comes to BI, data warehousing is very important. Therefore, most of the times companies adopt such BI solutions which are capable of handling and processing a large amount of data easily. One of the most used BI solution is Pentaho, as it has a very useful data warehousing, data reporting and data analysis features.
About Author: Sandeep is working at Aegis Infoways, Leading ETL Data Warehousing Services provider Company. Contact me for more information about ETL.