Our quite uncomfortable experience of presenting less than accurate reports to the C-level forced us to take immediate steps to manually clean up our CRM system and scrub our data. This required an enormous amount of patience, resources and commitment as we lacked the specific data quality and enrichment tools available today. Had we had this white paper back then, we would have saved a lot of time, money, headaches and embarrassment.
With modern Entity Resolution tools the Student Loans Company would be able to quickly and easily identify the correct Emily Hughes, saving costs, avoiding errors and ultimately keeping their customers happier.
Netflix now has the viewing preferences of 104 million people worldwide. Not only do they know name and location, thanks to mobile apps and multi-device subscriptions they also know where you like to watch certain content – oh, and at what time of the day.
Applying for a mortgage is one of the largest financial transactions any of us will undertake. Yet why is it that when we first engage with a lender, they have only a cursory understanding of the property we want to finance? How is it possible that weeks into the application process, new details can come to light that cause the mortgage application to be suspended altogether?
In the age of Big Data, businesses are collecting mountains of information about their customers that, when organized effectively, offers the potential to deliver important and actionable buyer insights. To do this, many organizations store information in data warehouses, or more recently, data lakes in big data environment.
Customer data comes flooding into businesses at a greater volume and velocity than ever before, as an array of new channels for outreach and interaction open up a wealth of opportunities for businesses to learn more about the clients they serve.
Those businesses who adopt advanced address normalization, data quality and governance strategies, will see results that help them establish a stronger reputation and solidify their customer experience.