Today’s information-driven business culture challenges organizations to integrate data from a wide variety of sources to achieve the most important business goals. To meet these goals, enterprises demand accessible, timely, actionable data—plus analytical environments that can scale to the tremendous growth in data volume, variety and velocity while also handling diverse types of enterprise data processing workloads.

Every minute of each day…

new websites are created

tweets on Twitter

emails are sent

new 'Likes' on Facebook recieved by brands and organizations

%

of all data are structured

%

of all data are unstructured

Data Sources/Ingestion

  • Social Networks
  • Structured Data
  • Unstructured Data

Analytics

  • Text Analytics
  • Behavior insights/patterns
  • Location Intelligence
  • BI Analytics
  • Log Mining
  • Data Enrichment with Open Data Sets
Example: USA Elections 2016 Analytics

Storing Data

  • On Hadoop platform
  • In traditional RDBMS’s
  • Files
  • Reports/Visualization

Common Use-cases

Typical Clients