AMA: LinkedIn Vice President of Global Sales Operations, SaaS, Akira Mamizuka on RevOps Reporting
March 26 @ 10:00AM PST
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LinkedIn Vice President of Global Sales Operations, SaaS, Akira Mamizuka on RevOps Reporting
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Akira Mamizuka
LinkedIn Vice President of Global Sales Operations, SaaS • March 26
We’re on a massive digital transformation journey at LinkedIn. We’re moving off legacy platforms and onto Azure, starting with core data and reporting tools, such as Power BI, Power Apps, and Power Automate. Together, these tools provide significant advantages for LinkedIn, such as: * Firstly,......Read More
407 Views
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Akira Mamizuka
LinkedIn Vice President of Global Sales Operations, SaaS • March 26
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-t......Read More
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Akira Mamizuka
LinkedIn Vice President of Global Sales Operations, SaaS • March 26
At LinkedIn, for both target setting and execution purposes, within our SaaS businesses we break down the revenue funnel into discrete parts, each of them mapped to specific teams who are accountable for the results. At the highest level, the first break-down is between “New Business” and “Existi......Read More
375 Views
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Akira Mamizuka
LinkedIn Vice President of Global Sales Operations, SaaS • March 26
The “bottom-up” process (i.e. the sales teams’ forecast rollup) gives real time sentiment from customers and the field but can be biased by human-led judgment. The “top-down” process (i.e. analyses of consolidated data) brings objectivity and separates signal from noise, though it ignores info......Read More
357 Views
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Akira Mamizuka
LinkedIn Vice President of Global Sales Operations, SaaS • March 26
Dashboard proliferation and staleness is an issue companies often deal with, including LinkedIn. Bias to action leads to multiple different dashboards being built over time, leading to: * Inconsistent metrics, since not always the builders align with metric owners on the same source of truth......Read More
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