Spend more time analyzing, less time prepping messy data.
Import data directly into REV from Excel files, Flat files, SaaS business apps like Salesforce, Marketo, Netsuite, etc., or on-premise databases like Oracle, MySQL, MSSQL server, and other JDBC data sources. Extend connectivity to 100s of business apps with Informatica Cloud integration framework.
Quickly identify and resolve partial and exact duplicates in a few clicks. Create computed columns to aggregate and reshape your data. Validate data like email addresses and zip codes with Informatica’s integrated DaaS services.
Beginners and experts alike can use our automated data blending to join multiple datasets together.
When you’re ready to visualize your data, export it directly to Tableau or to business apps like Salesforce.
Know exactly what’s in your dataset. Pinpoint outliers, unique values, and data errors. See visual data summaries in maps and charts to understand data trends. Get automatic suggestions for fixing data anomalies.
Every data prep step you take is recorded as a “Recipe.” Refresh your datasets with the same Recipe on a schedule, without redoing your work. Export your perfected Recipes as ‘mapplets’ so your IT team can operationalize your data requirements into enterprise data flows.
“I used to spend hours every week filtering, cleaning, and updating my marketing email lists.”
Now, REV spots and corrects errors on the spot, and I actually get to focus on writing a killer subject line.
–Erica Smith, Marketing Manager
“I’m part of a team that moves a million miles an hour."
I used to scramble to get our sales team their leads after an event. With REV, I can make sure clean and standardized leads are getting to the right rep within hours, instead of days.
–Oscar Rodriguez, Presales Manager
High-performing bulk data synchronization and replication for cloud and on-premise apps, using an advanced designer for technical users and a self-service UI for SaaS administrators.
Confidently connect with your customers using accurate, verified contact data.