Acuate Data Quality

Matching the Un-Matchable

We get invited to solve some very complex data problems and what we found over the years is, when you take into consideration the exact nature of the data and context it is used in, then you can generate much better results. Generic matching engines are good for 80% of duplicates or matches you’re seeking, the remaining 20% need a lot more effort. (I’m using the convention that duplicates refer to records matched with a single data set and matches refer to records matched across multiple data sets.) For many people finding 80% is good enough and they can live... Read more →

How Poor and Good Data Affects Telemarketing

If you’ve ever had the opportunity to call for appointments or sell on the phone from a list of contacts, then you know hard it can be. It’s not for everyone, but for those who master the phone techniques, it can be an incredibly worthwhile endeavour to achieve great returns. With so many ways to market, from emailing, social media, webinars to exhibitions, etc. telemarketing is one of the least appealing because of the difficulty of the task. But many companies have a dedicated sales force and they continue to use the phone to make appointments and sales. Telesales is... Read more →

Do Cloud Applications Make Your Data Worse?

Over the years, its always been a challenge getting clients’ data in and out of their CRM applications. In seems to be an impediment to fixing and cleaning data. Everyone wants good quality data, but sometimes the hassle of getting IT or the clients’ CRM supplier to extract or import data becomes a hurdle. As negotiations take place with IT or the supplier to perform the tasks, the data continues to degrade, marketing campaigns must wait, and reports continue to use poor quality data, producing inaccurate figures. You see this happening a lot with niche CRM applications, where the vendor... Read more →