Decision making based on inconsistent data is responsible for an average of $15 million per year in losses to the enterprise, according to Gartner. The main contributing factor is that enterprises use a variety of tools for KPI reporting that rely on varying subsets of data.
Join the experts from AtScale to learn how you can reduce the financial risk associated with inconsistent data by implementing a universal semantic layer across your organization.
In this webinar, you will learn:
On-Demand Webinar