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Bad data runs rampant throughout many organizations, ranging from incorrect information, missing information, inaccurate information and outdated data. This bad data can be more than a thorn in your side — it can actually hinder your business success, and cost you a ton of money.

According to this EBiz article, on average, corporate data grows at 40% per year, and approximately 20% of the average database is dirty. If nothing is done, you might be shelling out as much as $100 per dirty record, according to Sirius Decisions.

The $100 per bad record is attributed to impacts such as:

  • Printing and mailing to bad addresses
  • Emailing to wrong addresses
  • Losing disgruntled customers
  • Taking up extra server space with duplicate records
  • Sales conflict over the same leads
  • Inability to track lead source
  • Incorrect marketing segmentation and personalization
  • Unnecessary marketing automation & CRM costs for duplicate records

Keeping the $100 per dirty record in mind, and using a 100,000-record database, check out the astronomical cost of bad data (as well as clean data) in this infographic.

Achieve total data quality with the free complete guide below.

complete data quality guide

The author:

RingLead offers a complete end-to-end suite of products to clean, protect and enhance company and contact information, leading to improved organizational efficiency, reliable business intelligence, and maximized ROI on CRM and marketing automation investments.Since 2003 RingLead has helped solve the dirty data problems of large enterprises, Fortune 500 companies and small businesses across the globe.