Is your decision making based on good data?

If your data is dirty it doesn't matter how good your decision making process is, your decisions can't be as good as they could be with good data. Gartner Research estimates that 25 percent of critical data in Fortune 1000 companies is dirty, that is, the information is inaccurate, incomplete, or duplicated. They say "There is not a company on the planet that does not have a data quality problem."

 What is dirty data?

Accoding to Wikipedia, dirty data is data that is misleading, incorrect or without generalized formatting, contains spelling or punctuation errors, data that is entered in a wrong field or duplicate data. Completely removing the dirty data from a datasource is impossible or impractical in some cases. CRM intensifies data quality challenges because its data is more dynamic, more variable, and more voluminous than other domains. Dirty data in any application or database can cause customer-visible problems in the CRM.

Why should you care about data cleaning?

The Data Warehousing Institute (TDWI) estimates that dirty data costs U.S. businesses more than $600 billion each year. Gartner research shows that poor-quality customer data leads to significant costs, such as higher customer turnover, excessive expenses from customer contact processes like mail-outs and missed sales opportunities. But companies are now discovering that data quality has a significant impact on their most strategic business initiatives, not only sales and marketing. Other back-office functions like budgeting, manufacturing and distribution are also affected.

How do you know if your data is clean?

 That is where I come in. I will examine your data and give you a report regarding the quality and cleanliness of your data, for free!! Just contact me to request this free service. I'll get back to you as soon as possible to schedule an appointment.