Skip to content

Data & Analytics Operating Principles

There are three Data Team Operating Principles:

Data Team Operating Principles

  • Build A Better Team

  • Deliver Results That Matter

  • Create Trusted & Scalable Data Solutions

Build A Better Team

  • CREDIT
    • There will be more detail on credit and how to obtain the necessary factors while giving kudos etc
  • We treat everyone with respect
  • We assume the best intent towards eBlu's success
  • We are honest with ourselves and with each other
  • We have permission to disagree but must drive to commitment
  • We don’t hide from difficult conversations
  • We’re in this together as a team
  • We tackle mistakes as a team and seek to get better

Deliver Results That Matter

  • Data-Driven First, Data-Informed Second, Principles & Stories Third
  • We believe in built to last, not built too fast
  • We operate with a growth mindset, continually raising the standard
  • We don’t confuse activity with progress
  • We know how our work aligns with strategic initiatives and how it will help our Business Partners deliver impactful results
  • We go the extra mile to provide Context, Facts, and Insights
  • We define expectations upfront: Scope, Time, and Success Criteria
  • We proactively engage with our Business Partners to ensure regular progress for important initiatives

Create Trusted & Scalable Data Solutions

  • We all have a responsibility for Data Security and Data Quality
  • We lead with well-tested and accurate Data Solutions
  • We operate and maintain the production solutions we create
  • We design for eBlu +2 years while delivering for eBlu today
  • We maximize the capabilities and services of our vendor-partners
  • We believe the best way to align on a complex outcome is to picture it
  • Automated tests are the best tests, and we implement tests at every step of the data delivery process

Additional beliefs held by the Data Team include:

  • Everything can and should be defined in code and version control
  • Data implementations should integrate best practices from DevSecOps into their workflow
  • Partner with each Business function while having a high-quality, maintainable codebase
  • We write our code to be as close to open-source as possible, while keeping data security and data sensitivity in mind
  • There is a single source of truth for every analytic question within a company, and it is also important to represent multiple perspectives to provide the most thorough data insights
  • Glue work is important for the health of the team and is recognized individually for the value it provides. - We expect everyone to contribute.
  • Focus our limited resources where data will have the greatest impact
  • All business users should be able to learn how to interpret and calculate simple statistics