Anonymized engagement summary: a Power BI architecture and reports built on human-resources system data for a large construction contractor (2020)
Contracted — countersigned (EPC-reported; documents private)First-pass editionA large construction contractor (client not named) · 2020 · Project ID EPC-2020-ANON-CONSTR-PBIHR
Last updated by Errin O'Connor, Founder & Chief AI Architect, EPC Group
Opening answer. In December 2020 a large construction contractor's data services manager countersigned a statement of work with EPC Group. It covers a Power BI architecture built around end-user requirements and business goals, custom reports and dashboards on data from the contractor's human-resources system, and further Power BI opportunities and best practices as needed. EPC Group's developers worked side by side with the contractor's technical staff to transfer knowledge.
Disclosure. This is an EPC-reported anonymized engagement summary. The client is not named. The countersigned statement of work is retained privately and is not published in the Evidence Center, so this account is outside the Evidence Center's documented-engagement counts. Every engagement fact below is taken from that document.
Verification class
Contracted — countersigned (EPC-reported; documents private). The contractor's data services manager signed the statement of work in December 2020. No report inventory, acceptance or outcome measurement is cited or claimed.
Buyer problem and scope
| Item | What the statement of work states |
|---|---|
| Buyer | A large construction contractor (client not named); its data services function |
| Objective | Use Power BI to drive better business decisions from existing data |
| Architecture | A Power BI architecture centred on end-user requirements, business goals and best practice, with further customizations as needed |
| Reports | Custom reports and dashboards on data from the contractor's human-resources system |
| Enablement | On-the-job knowledge transfer on the environment's features, functions and best practices |
| Delivery | Short delivery cycles that each ship a working piece, led by EPC Group's Power BI architects and developers |
Unknowns, not stated in the document cited: the specific workforce measures, user counts and any measured result.
Approach and artifacts
Architecture before reports. The Power BI architecture is set up around the data services team's requirements before the HR reports are built on it.
Build alongside the data team. Knowledge transfer happens during delivery, not as a hand-off at the end.
Document (held privately):
| Document | Date |
|---|---|
| Statement of work, Power BI consulting and development (countersigned) | December 2020 |
Results and limitations
| Claim | Basis | Status |
|---|---|---|
| The contractor engaged EPC Group for a Power BI architecture and HR-data reports | Countersigned statement of work, December 2020 | Contracted (EPC-reported; documents private) |
| Reports delivered, adopted, or measured results | No document cited | Not claimed |
Provenance
- Source: the countersigned statement of work (December 2020), held privately. Engagement ID: EPC-2020-ANON-CONSTR-PBIHR, an alias unrelated to the client's name.
- Anonymization: industry only, under EPC Group's anonymized-case rule; the contractor's name, systems, location, staff names and commercial terms are not published.
- Not claimed: client endorsement, delivery, or any measured result.
- Author: Errin O'Connor, Founder & Chief AI Architect, EPC Group, who signed the statement of work for EPC Group.
Revision history
- 2026-10-25: anonymized engagement summary published from the engagement's countersigned statement of work.
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Author: Errin O'Connor, Founder & Chief AI Architect, EPC Group · Published: 2026-10-25.