The smart way to deal with the problem is going department by department. Most of the businesses deploy a new technology in one of their units, and slowly expand it across the Organization if they witness the benefits. But there may be even bigger savings to this, if the connect between units can be established, and the same implementation can be used across the Organization. And surprisingly, this interconnect can be utilized to an extent using Data Warehousing Tools.
1. Cost Savings By Operational Data:
The reduction in capital expenditure can be soon realized if the Organizations stop depending upon the external data sources for their various units. This can well happen by using the past data generated over the years. This data, when utilized by a number of Data Warehousing tools can help in producing operational logics within the unit. By opting for the specific useful logics and combining with the parameters collected by the DWH tools, the units can have an access to the real time operational data which is granular.
2. Streamlining Deployments Accelerate Results:
Faster and more accurate data can be generated if the deployment within a unit is streamlined with the sources. The granular leveled details can help in reporting many high level parameters which can be used Organization wide. Thus, making use of the same source, the data warehousing tools can have a deeper insight and produce the results which are benefitting to multiple units. This gets easier if it can be established that in what manner these units are connected to each other. In other words, inter connection within departments can help in the generated output being used more effectively.
3. Database Partitioning For Real-Time Operations:
The Operational units are a little different from the rest in an Organization, since these depend upon the most recent data. While the data warehousing tools have an excellent storage and impeccable ability to generate output based on the past information, the real time operational warehousing cannot wait for this processing to get over. Database partitioning is a resolve for this. The advanced tools have the inherent feature for such real time operations. A quick access to the partitioned database gives an access to the time critical information, which is individually utilized for the reporting purposes. The same input is later utilized for processing by the DWH tools to generate results at various levels.
4. OLAP Cubing Services For All Users:
Conventionally, there are a few select power users working on OLAP systems that are decision makers and report developers. With the BI tools making it possible to integrate any number of dimensions, more businesses or units can be linked. The ad-hoc query or an in-depth reporting is possible with ease. This provisioning makes it simpler for the Organization to use the same information unlimited times, with a clear insight into the dependency between parameters.
5. Smarter And Integrated Decision Making:
The use of BI tools if used across the Organization can facilitate the unit leaders to look into the dimensions from their own perspective. With dependency about the information eliminated from other sources, there is a quicker decision making which can shape up. The points of view can be collaborated from these units and an Organization level decision can be taken with no further delay. This is crucial for the businesses which wait for the departments to complete analysis before they come to a common conclusion.
Read post on Benefits of Data virtualization as well.