Business Performance

Data Collection

There is a wide gap between the abilities of different organizations to collect business data, process it, and drive their decisions based on the data analysis. While some businesses are quite mature, some others take their decisions based on feelings and not hard data. Data is not even available in few cases.

Business performance management begins with an organization developing the capability to measure and track key metrics that cover different aspects of the business like customer satisfaction, product quality, employee retention, financial health, etc.

Data processing then bridges the gap between the collected data and the need to get comprehensible information in order to take informed decisions.

Data Processing

In many cases, especially with large organizations, the available data is distributed and stored in different formats. In addition, the data itself has issues like missing pieces of information, redundancy, measurement errors, etc.

Data processing techniques today have evolved to handle many of these issues in a structured manner. Statistical analysis techniques help process the data to find patterns and relationships between attributes in an automated way.

The results can then be used not only to get the current view, but also the predictive views of business operations.