Not all Data Management Services Are Equal
The amount of time it takes to go from disconnected data to actionable insights is extreme. So, it is critical to harness business data for effectual decision-making.
Many organizations struggle with the accuracy of data. Bad or Dirty Data refers to information that can be erroneous, misleading, and without general formatting.
Unfortunately, no industry, organization, or department is immune to it. If not acknowledged and fixed early on, bad data can cause serious coercions.
These slower processes can lead to missed opportunities and lost revenue.
Dirty data has many consequences.
Not only does it prevent marketing campaigns from performing, but bad data also costs sales reps their time and energy to fix. That’s additional lost value for every dollar spent.
For organizations that want to make the most out of their marketing campaigns, having good data is essential.
Here are a few of the big offenders:
Bad Data Recap
Missing Data: Empty fields that should contain data.
Wrong or inaccurate data: Information that is not entered correctly or maintained.
Inappropriate data: Data that’s entered in the wrong field.
Non-conforming data: Data that is not normalized as per the system of records.
Duplicate data: A single Account, Contact, Lead, etc. that occupies more than one record in the database.
Poor data entry: Misspellings, typos, transpositions, and variations in spelling, naming or formatting.