Big Data Blueprints
Succeeding with four common scenarios
Optimize the Data Warehouse
Reduce costs and improve operational performance
Reduce strain on the data warehouse by offloading less frequently used data and corresponding transformation workloads to Hadoop without coding or relying on legacy scripts and ETL product limitations.
Streamlined Data Refinery
Drive a sustainable big data analytics strategy
Create a single ‘refinery’ by streamlining structured transaction, customer, and other data through a scalable big data processing hub, using Hadoop for transformation.
Customer 360-Degree View
Reduce customer churn and identify new revenue opportunities
Blend operational data sources together with big data sources to create an on-demand analytical view across key customer touch points. Gain powerful insights into buyers, brand, products and services.
Monetize My Data
Create new strategic revenue streams by delivering high-value data sets
Capitalize on the value of big data by easily accessing, enriching and processing data to be packaged and delivered as a new data service offering to external customers.
Create a Data Integration Pipeline
Boost ETL Productivity and Drive Actionable Insight
Streamline the delivery of information and establish a future-proofed data supply chain by creating a data integration pipeline that easily blends diverse data sources for complete business insight.