Big Data Series – Part 5 – 12 immediate suggestions to build a data supply chain

Immediate suggestions to build a respective data supply chain

-         Consider data as perhaps the most important asset in your organization. Become data driven. Some people call it “data religious”.

-          Research about Big data & Analytics best practices. It requires continuous learning. Refer to the different approaches offered in previous blogs (Data Acceleration Part 1 and 2).

-          Do an inventory of existing data. Focus on most frequently accessed and time-relevant data.

-          Identify, simplify and optimize inefficient data processes. Eliminate manual, time-consuming data curation processes (such as tagging and cleaning).

-          Identify currently unmet business needs and develop solutions.

-          Identify and overcome data silos.

-          Simplify and standardize data access through a robust data platform

-          Build an effective technology stack using one of the four suggested options while leveraging some of the described six components (Data Acceleration Part 1 and 2).

-          Further explore API management, traditional middleware, PaaS and other possibilities

-          Analyze current internal data sources and look for still hidden sources. Explore external sources to increase quantity and quality of available data.

-          Identify and improve individual data supply chain streams

-          Develop a systematic roadmap for building an effective overall data supply chain

 Special thanks to Accenture Technology Labs and Analytics Group, whose thought leadership, best practices and white papers have served as inspiration and knowledge source for this Big Data series.