By Len Dubois, Sr. Vice President, Marketing & Sales Support, Harte Hanks Trillium SoftwareThe language of data quality is interesting, isn't it? To truly interpret or understand it, it really depends on whom you are talking to and what their specific goals are for their unique business challenges. During one of our most recent regional user conferences in Boston, it was really evident that there are distinct ways to refer to the challenges and enormous business benefits that improved data quality can bring to an organization.
When you listen to IT professionals, they speak in terms of formats, structured and unstructured data types, metadata, etc. Listen closely though, and they talk about challenges in terms of consolidating different data sources, completeness and accuracy of records, and ability to discover anomalies – both known and unknown.
While Data Stewards on the other hand refer to understanding business process break down, data governance, application integration and reusability of data quality processes in both upstream and downstream systems.
Both of these are clear examples of how different data quality solutions and services users talk, but in most cases, and they’re referring to similar data quality pain points, and you can hear the features of their current tools and offerings coming through the vernacular.
On the other hand, when you listen to the business buyers of data quality solutions, they speak a completely different language. I heard them speak in the following terms; "We purchased a solution to reduce our procurement cost across the organization by 3%, you guys at Trillium Software helped me better understand who our distributors are, and what we purchase from them."
Also from an insurance executive said, "I wanted to better understand how many claims were being submitted for the same incident and which of our customers had multiple policies within our organization. From a shipping executive, "We are being charged enormous fees from importers and exporters due to incorrect or incomplete shipping information on containers, how do I drastically reduce or eliminate those fees? Another executive stated, "By better understanding the information assets of an intended acquired company we were able to reduce the acquisition price by 33%.”
Lastly, an automotive executive opined, "My companies reputation is on the line every time an automobile leaves a distributor. One of our most critical business processes is to ensure we know when a vehicle is returned for a warranted repair. It is at that point when a customer is most vulnerable, so understanding exactly who the customer is, which vehicle, which part, what distributor and how long the vehicle was out of use is vital for our business. Closing the gap on those data "unknowns" is the key for our success."
Now you may ask, aren't all of these people – the IT folks, Data Stewards and executives – the "buyers" of data quality solutions? Yes and no.
At the end of the day, the person putting their signature on the contract has a vested interest in, and an enormous responsibility for, seeing that the solution they are purchasing meets not only the needs of the IT professional who is primarily worried about the bits and bytes, the Data Steward attempting to bring line of business and IT professionals together in a collaborative way, and the business buyers who run campaigns and business processes. The needs of all these buyers must be taken into account to ensure the success of a project, as well as ensuring they are solving a business challenge or need for the organization.
It is therefore essential that my staff and I understand and better communicate the benefits, as well as the challenges each buyer faces.
What type of buyer are you? What “language” do you speak and what are your most pressing business needs that can be addressed by improved data integrity?