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Data & Analytics Overview

I use data as a support tool for documentation work.

That includes understanding workload, tracking progress, improving visibility, identifying patterns, and making better decisions about content and process. I’m interested in analytics when they clarify reality, not when they just create more dashboards nobody uses.

Where data fits into my work​

For me, analytics is not separate from documentation.

It connects directly to questions like:

  • What is changing?
  • Where is the work getting stuck?
  • What is taking too long?
  • Where are the patterns?
  • What needs attention first?
  • What is scalable and what is fragile?
  • How can a team see the state of the work more clearly?

Tools I’ve used​

My work in this area has included:

  • Excel
  • Tableau
  • Power BI
  • SharePoint
  • structured reporting workflows
  • large data set cleanup and analysis

How I’ve used analytics​

Across roles, I’ve used analytics and reporting to:

  • streamline documentation processes
  • manage and interpret large data sets
  • support content planning
  • improve visibility into team work
  • identify opportunities for improvement
  • build documentation metrics that support decision-making

Why this matters in documentation work​

Documentation teams often know things are off before they can prove how or where.

Data helps with that.

It can reveal:

  • bottlenecks
  • uneven workload
  • weak process points
  • content gaps
  • reporting friction
  • opportunities to simplify or standardize

Used well, analytics supports better judgment. It does not replace it.

What this section covers​

This section highlights the part of my work that connects documentation with:

  • Excel and Power Query
  • dashboards and reporting
  • content audits
  • measurement and operations

That side of the work matters because strong documentation systems need more than good writing. They also need visibility, pattern recognition, and workable process support.