BI services

Analytics started to get attention in the late 1960s when computers became more mainstream and capable of making decisions based on certain set of data. Since then the processing speed could not catch up with increase in volume of data. By 2025 the global data creation is projected to grow more than 180 zettabytes and analyzing this data would need impeccable skills.

New tools are emerging almost every year to solve different types of problems in different industry domains. There are more than 20 visualization tools and 20 different data processing tools available in the market with different pros and cons. A single problem can be solved in multiple ways but the challenge lies in identifying the right tool and technique to solve it efficiently and maximize the benefit to organization.

The basic principle of Neural Network is to give the right weightage to the inputs to minimize the loss functions and maximizing the accuracy. We draw our inspiration from this where it is crucial to identify the right set of metrics from the huge pile of data (inputs) to provide better understanding of the business. On top of this Automation has been key to achieve all this with minimal human efforts. The integration of open source tools like python with the mainstream tools like SAS, Tableau, Qlik etc, has taken the prediction and automation to the next level.

Our experience includes most of it, however we believe that opportunities are endless and we wish to keep ourselves abreast with new technological advancements.