Data is not just numbers; it is the story of a business process. We analyze the data to get insight into the business process and this insight leads to the development of correct decision engines. Our team is well versed in data analytics, data treatment, data storage in databases and data retrieval through efficient query design. Use of big data techniques is also one of our core skill sets.
A decision automation system receives data from multiple applications and writes data into multiple applications – after all, it is just one piece of the puzzle. This data must be retrieved from a database then written into a database and it needs to be an efficient process. Thus, good database design and efficient processing of the data is very important. This requires a deep understanding of database technology.
Sometimes the data available for decision making is incomplete or incorrect. Sometimes the data coming from multiple sources is inconsistent. This is why we do data treatment before it can be consumed by decision modules. This is an essential part of building decision automation systems.