Self-Service Business Intelligence Adoption Strategy

Self-Service Business Intelligence (BI) is an approach to data analytics that enables business users access and explore data sets. With traditional BI tools and processes, the BI team or IT does the data analysis work for business users. In a self-service BI environment, users can run queries themselves and create their own data visualizations, dashboards and reports.

The main challenge is quick adoption by business users. Like traditional BI environments, self-service ones can be held back by resistance from business executives and managers who want to continue to base decisions on their own knowledge and intuition. Meanwhile, the adoption of Self-Service BI tools could nail bad or no data issues and as a result force additional budget allocation for cleaning data and proper business process design and employees training.

To avoid or overcome such obstacles, a company must first develop a well-thought-out BI strategy, which includes a sound BI architecture that specifies technology and governance guidelines. Those core pieces can help guarantee that the business has the proper data sets and infrastructure in place to support the adoption of self-service BI tools across the organization.

A BI training program should also teach employees how to find the business data they need and produce effective data visualizations, dashboards, and reports, in addition to how to use self-service tools. Meanwhile, the data governance policy should spell out critical data quality metrics, data management, access, and usage standards, reporting and dashboard sharing protocols, and how data security and privacy will be protected.

We are focusing on providing state-of-the-art software that provides a self-service BI tool for the company employees and a flexible admin panel for NLSQL admins with all statistics and access to the NLU model themselves for better control and compliance checks.

Download Case Study with Delta Airlines (pdf ppt)