Powering decisions based on solid data analytics is a significant step in the organizations' maturity model.
The first step is to gather the structured and unstructured data, not in the old "Enterprise Data Warehouse" method, but in the new paradigms that allow quicker time to market by 50% or greater.
This step is often the most under scheduled and under resourced, but crucial to the success of the project.
Once the data is gathered our team data scientist and industry experts develop analytical models. These models evolve over time as the data and analysis get better.
A critical leap is from static analytics to real-time and predictive/actionable models.
Inorbit has helped organizations find valuable, often unknown, deep insights into their business. Using historical and real-time data, Inorbit has helped client's achieve a better predictive outcome than prior methods.
Inorbit has also teamed with IBM's Watson cognitive technology team, using the natural language and dynamic learning capabilities to add new dimensions to big data analytics.