Element Data

Data modernization experts focusing on the Microsoft ecosystem, helping organizations unlock value from Azure Data and Power BI.

Listed, not reviewed

Answer-First Summary

Element Data is a firm founded in 2019, focused narrowly on the Microsoft data ecosystem (Azure Data, Power BI, and Databricks) for organizations in Healthcare, Professional Services, and the Public Sector. Business analytics is rated Expert; data modernization is Strong. Buyers running Microsoft-first data stacks who need a consultancy that works within that ecosystem rather than across all clouds will find the scope here well-matched.

Best for
Microsoft stack optimization and Power BI enterprise rollouts
Wrong for
Choose elsewhere for an AWS- or GCP-led program: its listed stack is Azure, Power BI, and Databricks. Ask for target-cloud references if you still consider it.

Evidence needs review

The claims in this profile still need source checks. Ask the firm to confirm its rates, minimum project size, and staffing. Capability and fit ratings are editorial.

Research Notes for Element Data

  • Evidence Signal

    Element Data's footprint (Azure, Power BI, Databricks) reflects a deliberately focused practice rather than a broad generalist one; the 2019 founding means all delivery capability was built against modern cloud-native tooling from the start.

  • Rate & Scope Note

    Cost depends on whether the work is a Power BI rollout, an Azure data platform build, or Databricks, and on how many users and workspaces are in scope. Ask for the quote by deliverable. The rate and minimum shown are unverified.

  • Differentiators

    Azure plus Databricks coverage instead of a generic all-platform claim.

    Healthcare positioning with high mid-market fit.

    Capability profile highlights strong data modernization, expert business analytics.

    Mapped to healthcare vertical filtering in the directory.

Service Capabilities — editorial ratings

platform Migration
Moderate
data Modernization
Strong
ai Ml Enablement
Moderate
business Analytics
Expert

Expertise & Focus

  • Core Platforms

    Azure, Databricks

    Azure, Power BI, Databricks

  • Industries

    Healthcare, Professional Services, Public Sector

  • Best For

    Microsoft stack optimization and Power BI enterprise rollouts

  • Wrong For

    Choose elsewhere for an AWS- or GCP-led program: its listed stack is Azure, Power BI, and Databricks. Ask for target-cloud references if you still consider it.

Company Analysis

Element Data is a firm founded in 2019, focused narrowly on the Microsoft data ecosystem (Azure Data, Power BI, and Databricks) for organizations in Healthcare, Professional Services, and the Public Sector. Business analytics is rated Expert; data modernization is Strong. Buyers running Microsoft-first data stacks who need a consultancy that works within that ecosystem rather than across all clouds will find the scope here well-matched.

Element Data's footprint (Azure, Power BI, Databricks) reflects a deliberately focused practice rather than a broad generalist one; the 2019 founding means all delivery capability was built against modern cloud-native tooling from the start.

Cost depends on whether the work is a Power BI rollout, an Azure data platform build, or Databricks, and on how many users and workspaces are in scope. Ask for the quote by deliverable. The rate and minimum shown are unverified.

Capability scoring flags Element Data as strong in data modernization, expert in business analytics , which helps distinguish it from firms with similar platform coverage.

Weighing Element Data against other options? See where it sits among the top data engineering companies in our independent 2026 directory - profiled by platform focus and fit.

Similar Firms

  • Accenture

    Rate not verified · 779000 people · AWS, Azure, GCP

    Listed, not reviewed
  • Adastra

    Rate not verified · 2000+ people · Snowflake, Databricks, AWS

    Reviewed
  • Aimpoint Digital

    Rate not verified · Team not verified · Snowflake, Databricks, AWS

    Reviewed
  • Algoscale

    Rate not verified · 200 people · Databricks, Snowflake, AWS

    Listed, not reviewed