Data Quality is at the heart of every RevOps problem
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Data quality is a much bigger problem than you might think. Many RevOps problems are actually data quality problems.

The three levels of data quality are:
  1. Technical Quality: The baseline level of data quality that provides general data hygiene (i.e. “the data looks correct”).
  2. Operational Quality: The functional level of data quality that makes the data useful (i.e. “the data allows your business processes to work correctly”)
  3. Strategic Quality: The strategic level of data quality that makes the data timely and impactful (i.e. “the data allows your org to make the right GTM-related decisions”)
Fisher Investments
Instructure
8x8
Zendesk
Splunk
Nutanix
Freshworks
Equinix
Conversica
Zscaler
Armanino
LiveRamp
Okta
Vimeo
Fisher Investments
Instructure
8x8
Zendesk
Splunk
Nutanix
Freshworks
Equinix
Conversica
Zscaler
Armanino
LiveRamp
Okta
Vimeo