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.
Aligned with our mission, we take a pragmatic and interdisciplinary approach to data science. Since each client’s pain point / use case is unique, we take a bespoke approach to our data science practice. At the start of an engagement, we analyze a data science opportunity, working with customer executives to develop a business case. We then apply years of statistics, operations research, machine learning, decision science, cognitive science, software engineering experience coupled with industry specific business IP to develop a data model. During the process we work closely with the business owner to stay consistent with our business outcome driven mission. Once the model is built, we develop and deploy production / decision-automation system through agile/lean design and iterative software development with a keen focus on achieving the required business outcome.
Our Analytics and Data Science practice helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers. Broadly speaking the benefits can be categorized as followed:

 Incremental business benefit from data already available resulting in higher ROI from
      existing data assets

 Operational efficiencies gained around IT management and security
 Collaboration and cross pollination of ideas between business and technology groups

  Save hundreds of thousands of dollars in capital costs, time and labor expenses
  Reduce operational effort by leveraging machine learning solutions for low risk tasks
  Deep insight into product performance, user preferences and usage metrics of
       various hardware and software technologies

  Resolve security issues and avoid the expense of a dedicated SIEM solution
  Gain visibility into user accounts and ensure security and compliance