Business Intelligence (BI) is the ability to transform data into information and information into knowledge, so as to optimize the business decision-making process. This is very interesting because only a few years ago the industry was unable to deliver what businesses were asking for, but with the business acquisitions of the tools, and bigger companies getting involved, there’s much more capability in the technology space.
In a business perspective, emphasis should be placed on the identification of the correct relevant data sources, the granularity of the data to be extracted, possibility of data being extracted from identified sources and the confirmation that only correct and accurate data is extracted and passed on to the data analysis stage of the BI process.
These analysts at the moment are taking prominent roles across the corporation, to perform deliberate drawback and opportunity recognition, carry out gap analysis and viability experiences, and constrain business solutions inside their organizations.
The following panel contains a summary of Business Intelligence in the form of a bullet list of the most significant attributes generally being assigned to this new but not-so-new technology that is going to be recognized one day as the “second great era of computing in business”.
Effective root cause analysis of customer feedback relies on the organization collecting the relevant data to ensure meaningful insights can be extracted from it. Therefore the feedback provided must be recorded effectively and analyzed promptly to implement corrective actions.