"A whopping 94 percent of companies, across all levels, have experienced internal challenges when trying to improve their data quality.”
—Experian’s 2016 Global Data Management Benchmark Report
The rise in popularity of big data, as well as the idea that having more and increasingly accurate data can lead to a host of desirable marketing outcomes, has also brought about the popularity of Data Hygiene and Data Enhancement.
We have all heard the saying “Garbage in, Garbage out.” Deficient data is a major problem in our industry today. According to The Data Warehousing Institute (TDWI), 26 percent of data quality problems are caused by data entry errors, including typos and misspellings, and 25% of all mail pieces have address deliverability issues, such as incorrect zip codes, missing apartment and suite numbers, and incorrect street addresses. Data aging is yet another problem. The quality of data is constantly changing, which can make it difficult to keep up-to-date. Individuals get married, change their names, get divorced, and die. People and companies move—more than 40 million Americans (1 in 6) move annually. As a result, data that was once accurate quickly becomes outdated, with the quality of stored U.S. address data declining 17 percent each year (USPS).
A variety of existing tools and services are available to combat data hygiene issues.
Good Data Hygiene is a must and should be an ongoing project and process for your organization. Putting such a plan in place will continue to ensure the accuracy of new data and the updating of legacy data being captured and imported into your systems. It is also an important prerequisite to Data Enhancement.
Once your data is clean and up-to-date, you can start the process of Data Enhancement.
Data Enhancement provides additional appends, or data points, to your data that increase segmentation, personalization, and accuracy…and have the potential to enhance your overall targeting and insights. Data privacy should be kept in mind when performing a data enhancement to avoid appending or using any sensitive data or data that could be viewed as a violation of your prospect, member, or company’s privacy. For international prospects, Privacy Laws vary by country.
There are 3 main types of data appends: consumer, business/company, and contact.
Deciding which data points to append should be based on what you plan to do with the new data points and how they can contribute to both your short- and long-term goals. For example, one organization with education level eligibility requirements was able to save time and money on their marketing campaigns by appending education level. Using this data point, the group was able to eliminate 15% of their prospects who were not eligible for their product.
According to Experian’s 2016 Global Data Management Benchmark Report, 32% of surveyed companies cite that their lack of knowledge, resources, and skills when it comes to data quality is also their biggest challenge.
Choosing the right partner, tool, or solution to perform data hygiene and data enhancement can mean the difference between being a data zero (bad data, not data driven, intuition based) and a data hero (good data hygiene and effective/efficient data-driven marketing that is measurable).
Contact Tom Beauchamp, MGI’s Vice President of Operations, and find out more about all the good things MGI can do for your data and your marketing plan. Tom can be reached at TBeauchamp@MarketingGeneral.com or (703) 706-0377.