SaaS applications are great for productivity. The typical small business uses 15 SaaS applications; enterprise, hundreds.
But when data scatter across so many applications, databases may use different units, and records contain duplicate or conflicting values. To ensure data adhere to a single standard, you need to marshal records from many tables into one — and keep object relationships in tact. The work of normalizing SaaS data is a necessary evil: tedious, but essential to prepare data for business intelligence, analytics, and dashboards.
Automating this process of creating your normalized data model is a breakthrough for your analytics and dashboards. A normalized model maps, merges, and models relationships with consistency. So that once data are stored in a cloud data warehouse, they automatically feed your reports, dashboards, and analytics. All from the SaaS applications your company uses every day.