Data Ingestion

A preliminary, yet important, step in an organization's big data strategy is to lay out a thorough plan for data consumption. We can assist you with:

  • Solutions that make previously recorded data existing in silos and legacy systems accessible to contemporary analytics platforms.
  • Identifying new sources of data and creating the necessary infrastructure to collect it based upon your organization's needs, domain of operation, and expectations.
  • Implementing optimal strategies for data collection and storage as dictated by the complexity, volume, and accumulation rate of a particular data type.
  • Integrating/prepping multi-channel structured and unstructured data before analysis.

Data Analytics

The analysis of big data broadly entails two essential motifs. Firstly, the discovery of previously unknown patterns, trends and insights latent within the complexity of data. Secondly, the prediction of the future based on what is known presently about the data. We possess strong expertise in enabling your organization make the best use of both of these modalities of data driven value creation.

Data discovery

Some of our core strengths are:

  • Multivariate analysis.
  • Data mining, encompassing clustering, anomaly detection, classification, and regression.
  • Graph theoretical techniques.
  • Text and image analytics.

Predictive analytics

Our strong suits are:

  • Machine learning.
  • Various regression techniques.
  • Monte-Carlo simulation based methods.
  • Stochastic modeling.
  • Numerical methods.
  • Ensemble modeling.
  • Operations research.
  • Agent based modeling.
  • Game theory.

Data monetization

Ultimately, the central goal in embracing big data is improving the bottom line. By engaging with our specialty teams comprising domain experts and data professionals, you can:

  • Identify how insights extracted from data impact key areas across your value chain.
  • Prioritize implementing changes dictated by your own data.
  • Find third parties that may buy your insights.
  • Implement new data driven business models.