TDWI Checklist Report | Streamlining Business Analytics with Self-Service Data Pipelines
March 17, 2021
In today’s rapidly changing economic environment, organizations need timely and accurate analytics to make good decisions.
Thanks to improved visual interfaces and sophisticated software automation, self-service business analytics can enable users to focus more on solving business problems than on technical issues in writing queries and formatting data. That is, if they have the data.
A data pipeline brings data from sources to users’ data platforms for business intelligence (BI) reporting, dashboards, and analytics. Many organizations need pipelines to bring data from legacy on-premises applications to cloud-based data warehouses and data lakes.
Fortunately, self-service capabilities now extend to data pipeline development, enabling users who are not IT data experts to acquire data quickly, even including additional preparation, transformation, and governance steps.
This TDWI Checklist walks through six best practices for streamlining business analytics with self-service data pipelines and examines key issues that can help organizations prosper.