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Wendy Lynch, Founder of Analytic-translator.com, discusses data analytics success factors. Data scientists and business teams frequently face communication challenges, causing friction and unsuccessful analytics projects. Incorporating an analytic translator helps bridge this gap, leading to better returns on analytics and less time spent redoing projects. Today, Wendy shares her insights on why most analytics projects fail.
About the speaker

Wendy Lynch

Analytic-translator.com

- Analytic-translator.com

Wendy is Founder at Analytic-translator.com

  • Part 1 test

Show Notes

  • 01:40
    Delivering business value through data analytic projects
    A data project failing means it doesn't deliver the intended business value, which happens 85% of the time. Even when analytic executives claim success, the provided data often doesn't align with what the business team wanted.
  • 02:35
    Factors driving data project failures
    Achieving success with data projects is challenging because there's a lack of effective communication between business executives and data scientists. Both groups often lack communication training, hindering the understanding of each other's objectives and needs.
  • 04:06
    Communication barriers between data scientists and business leaders
    Data scientists' inclination to present uncertainties and complexities can leave business leaders unsure of their credibility. Additionally, data scientists' pursuit of innovative tools and elegant solutions can overshadow fulfilling the needs articulated by business leaders.
  • 07:17
    Bridging the communication gap between data scientists and business leaders
    Empathy and embedding people on different sides of the organization will foster a deeper understanding of each other's challenges and needs. Additionally, adopting analytics language that makes sense to business leaders and offering data literacy training helps bridge the gap.
  • 09:22
    Overcoming misunderstandings when handling analytic requests
    Requestors often have difficulty expressing their needs precisely, but analytic translators are trained to uncover a deeper understanding of the request. It's crucial to pinpoint the request's origin, its intended use, and the target audience to understand the requests objective thoroughly.
  • 12:57
    Getting executive leadership buy in for an analytic translator
    Highlight the financial impacts incurred from redoing projects, wasted time, low morale, and reduced productivity due to misunderstood requests. Emphasize the potential gains in efficiency and improved decision-making when communication gaps between teams are bridged.
  • 16:14
    Appreciation and understanding between data scientists and business teams
    Appreciation fosters understanding and acknowledgment of the challenges each team faces, promoting a collaborative environment. Failure to appreciate and understand each other leads to silos, decreased trust, and potential downward spirals in outcomes and relationships.
  • 17:35
    The value of an analytic translator for organizations and data analytics projects
    By having an analytic translator bridge the communication gap between data scientists and business teams, you can double the return on analytics. Ultimately, data projects would be more successful, and employees would feel more appreciated in terms of their contributions.

Quotes

  • "If you look at how often an analytic project delivers the value that the business requester was trying to achieve, the best estimates out there are that 85% of the time, they don't." - Wendy Lynch

  • "Data scientists focus on the bug on the tree bark while the business wants to know if the forest will grow in one direction or another. Its about stepping out of our areas and understanding what each other is up against." - Wendy Lynch

  • "Rather than skipping to a new tool or analytic person, we need someone who can bridge that gap and start to build not just a capability of getting an answer right, but an allegiance so that they're working together well." - Wendy Lynch

  • "If youre able to bridge the communication gap between data scientists and business teams with an analytic translator, you could double the return on analytics without much trouble and have much happier people." - Wendy Lynch

  • Part 1 test
About the speaker

Wendy Lynch

Analytic-translator.com

- Analytic-translator.com

Wendy is Founder at Analytic-translator.com

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    Part 1test

    Wendy Lynch, Founder of Analytic-translator.com, discusses data analytics success factors. Data scientists and business teams frequently face communication challenges, causing friction and unsuccessful analytics projects. Incorporating an analytic translator helps bridge this gap, leading to better returns on analytics and less time spent redoing projects. Today, Wendy shares her insights on why most analytics projects fail.