With the explosion of SaaS applications, IT teams have had to manually extract, format, de-duplicate, and standardize data into a single schema. Meanwhile, executives are demanding a holistic view across departments. They want fast access to data analytics, dashboards with real information they can actually use — and trust.
Such analytics projects can take months, and impinge upon an organization’s real-time view of customer data. Instead of having data at their fingertips, they spend hours a week poring over siloed reports and debriefing with various departments.
Automating this process is just the starting point. The real opportunity comes from analyzing trends and metrics proactively, not reactively. When speed is everything in a fast-growth SaaS model, accelerating the time it takes to get your data ready for analytics can be the difference between losing business and an early exit.