Best practices for launching BI & analytics

Description

This guide is here to help management, product, solution, and data teams navigate the complexities of choosing an analytics platform that will best suit their needs.

What data challenges do today’s organizations face?

Traditional business intelligence and data analytics solutions provide tooling to attractively visualize data on an individual level and, oftentimes, connect the solution with various data sources.

The areas where traditional solutions have failed are rather of strategic, (central) management, and cost importance, such as how to manage data availability (scalability) and data veracity (unified metrics, dimensions, data models) across an organization, for all stakeholders.

A typical organization’s data landscape:

• Many different kinds of reporting and data information needs
• Data specialists and engineers outnumbered by business stakeholders
• Several different data sources (and warehouses),

resulting in the adoption of multiple, fragmented BI tools across the organization, or even within individual teams.

This guide is a technical introduction to the world of analytics solutions that address also these previously overlooked areas and provides you with comprehensive guidance on your evaluation journey.