Analytics + Data Science (A+DS)
The technology landscape around data and analytics is changing almost at the rate at which the amount of data in the world is increasing. Analyzing large data sets, structured and unstructured, has become a key basis of competition, driving new waves of productivity and innovation in companies across different industries.
At Omega, we help simplify the process and develop business outcome focused data and analytics strategies to maximize ROI on our clients data assets. Our Analytics and Data Science practice is focused on analytics beyond traditional BI to help our clients glean insights from the structured and unstructured data. Our Analytics and Data Science practice can be broadly broken down into the following:
Operational Analytics
The impact of operational analytics is not confined to improving the efficiency and performance of operational processes. Omega works with clients to implement analytics solutions that identify ways to operate more efficiently and increase operational performance with data already available. By analyzing log, sensor and machine data and finding hidden patterns in network and machine data, Omega’s operational analytics solutions help clients optimize critical business decisions, reduce costs and complexity and maximize operational efficiencies.
Data Science (Predictive Analytics)
Data science, is an interdisciplinary field about scientific processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, through mathematically driven fields such as statistics, machine learning, data mining, and predictive analytics. This discipline, once relegated to quants and mathematicians has made its way to the forefront of business decision making with more user friendly tools. Omega works with clients to build custom predictive models to solve specific business problems.A+DS @ OMEGA
BENEFITS OF A WELL EXECUTED OMEGA A+DS STRATEGY

existing data assets


RESULTING IN



various hardware and software technologies

