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What are some best practices for managing data quality for RevOps reporting?

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3 Answers
RevOps Reporting
  1. Tyler Will
    Tyler Will

    Intercom VP, Revenue Operations | Formerly LinkedIn • 2y

    For internally generated data, I work with my team and the sales leaders to (1) set clear expectations, (2) reinforce the expectations, and (3) make it as easy as possible to meet the expectation. For external data sources, we work closely with other teams (Marketing Ops, Finance) to optimize our subscriptions and evaluate different data sources each year. Internal data At Intercom, we defined a set of rules around opportunity management that every rep and manager understands. We're always revis ...Read More

    1,990 Views
  2. Mollie Bodensteiner
    Mollie Bodensteiner

    Engine SVP of Operations | Formerly Engine, Sound, Deel, Marketo, Syncari • 1y

    Good Revenue Operations reporting depends on clean data. Also, remember that data is fluid, so you must ensure it is consistently top of mind vs set and forget. Here are ways to maintain data quality: Data Standards Use consistent naming across systems Set required fields with validation rules Document acceptable values for each field Governance Structure Assign clear data ownership Form a cross-functional data quality team Create processes for making data changes System Integration Align data d ...Read More

    539 Views
  3. Akira Mamizuka
    Akira Mamizuka

    LinkedIn Vice President of Technology and Product Operations • 2y

    One of our first steps was to execute a comprehensive analysis of Data Quality issues, starting with our business use-cases.  We then benchmarked our current state against industry standards, such as the DAMA framework.  This highlighted opportunities for LinkedIn to improve both over the short-term and the long term, along with improving our data quality rules, such as reducing both false positives and false negatives.  Of that effort, 3 items popped stood out: Latency Improvements - We remedie ...Read More

    487 Views

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