Data Team · Monthly Impact

March 2026
Data Impact

158 tickets shipped. 43 data quality issues caught by our automated test suite before reaching any dashboard. 17 clients served. Here's what your data team did in March.

158
Tickets shipped
100% complete
43
Quality issues caught
before any dashboard
13+
Clients served
this month
0
Data issues that reached
a dashboard undetected
Weekly release days
Tue & Thu only
✅ New capabilities delivered this month
Work that unlocks a decision, answers a question, or enables an action that wasn't possible before March.
Leadership can now track company KPIs and OKRs in real time KPI/OKR reporting mart is live with a glossary, prepped for Q2 planning cycles. Leadership no longer needs to ask the data team for these numbers.
Self-serve analytics is entering production via Cube Most P1 Cube reporting assets delivered. UAT Wave 1 kicked off — the shift from request-based reporting to self-serve is underway.
Member engagement can now be tracked with greater precision Weekly plan events and engagement metrics updated with new event logic and backfills — reducing gaps in how we measure member progression and intervention impact.
Pangea is data-ready for launch Billing triggers, contract mapping, eligibility checkpoints, and campaign infrastructure all delivered via Data API. The data team's part of the 4/1 launch is done.
Clinical and program outcomes are now consistently measured BAM Summary and Details marts live. Alcohol marts reworked. Advanced clinical outcomes reporting now aligned across Product, Clinical, and Growth.
LP outcomes can now be measured and iterated on Outcome metrics for landing page improvements delivered — enabling the Growth team to measure what's working and make evidence-based decisions.
⏳ Delivered. Waiting on the next step.
These are complete on the data side. The next action belongs to another team — adoption, sign-off, or activation.
Product
Cube P2 + P3 dashboard design complete — UAT feedback needed Dashboards designed and ready. UAT Wave 1 is live. Value is only realized when stakeholders use them and provide feedback to finalize before full rollout.
Growth
Iterable and campaign system infrastructure rebuilt and stabilized Backfills completed, event fixes applied, care pathway piped into Iterable. Growth team to validate campaign logic against new event structure.
Client Ops
Eligibility gaps resolved for Family Dollar, Bimbo, Guitar Center, and others Matching logic expanded and data corrected. Client-facing teams can now proceed with confidence on eligibility for these accounts.
Analytics
OKR/KPI glossary mart live — Q2 metric definitions are set Mart is built and definitions are documented. Leadership and department heads need to align on which metrics are authoritative for Q2 planning.
🛡️ Data quality — before it reached you
We run a dbt test suite that automatically validates data integrity on every pipeline run — catching bad values, duplicates, and integrity failures at the source before they reach any report or dashboard. These are tracked in Jira and actioned every sprint.
43
dbt test failures caught & resolved — never reached a dashboard
2
Issues reported externally by stakeholders
2 of 2
External issues traced to upstream vendor — not our pipelines
Duplicated DM Counts in Marketing Reporting
Root cause: Iterable upstream Resolved within sprint Guardrail added
Iterable emitted duplicate events before reaching our pipeline. Our ingestion functioned correctly — it loaded what it received. Deduplication logic added to prevent inflation of campaign metrics going forward. Reported by Growth QA.
Missing Oura Typeform Attribution
Root cause: upstream attribution gap Resolved within sprint Fix deployed
Attribution gap identified and patched. No impact to member-facing systems. Reporting corrected and validated.
🤝 Active client work in March
Every client below had specific data work completed this month — eligibility, billing, data feeds, claims, or reporting.
AT&T / Alight CVS / ADM BCBSNC Aetna Live Nation Red Bull 3M Lowe's Guitar Center Tractor Supply Family Dollar Dollar Tree Bimbo Chegg ESI HPE Silgan
⚙️ The platform your business runs on
This work doesn't ship in a sprint announcement. It runs every day, every sprint, and every time a new client or contract comes in. It's the reason the lights stay on.
dbt Pipeline — 15-min + Daily
Critical 15-minute dbt jobs power the member registration pipeline. Any failure is a P0 — resolved before business hours.
Running continuously
🔁
On-Call Rotation
One engineer holds the pager every sprint, monitoring 8+ Airflow alert channels: dbt, eligibility, billing, claims, Iterable, Airbyte, and more.
Every sprint
🚂
Release Train — Tue & Thu only
All production deploys happen on a controlled Tuesday/Thursday schedule — reducing risk and giving the business predictable delivery windows.
2× per week
💳
Billing Engine
Custom billing logic is updated with every new client contract and every change to an existing client's billing rules. No two clients are the same.
Updated continuously
🔌
Active Integrations Maintained
Airflow, Airbyte, Iterable / Census, Typeform, Sendoso, ESI, Aetna, Redshift — all monitored, maintained, and updated as vendors change.
Always monitored
🔒
Security & Dependency Hygiene
Dependabot PRs reviewed and merged every sprint across qg-analytics and qg-airflow. Vulnerability scans remediated (ESI billing DAG, ROI QA DAG this month).
Every sprint
⏭️ On deck
April activates what March built — and pushes the analytics platform forward.
Phase 0: Initiation ✓ Phase 1: Setup ✓ Phase 2: Semantic Layer ✓ Phase 3: Reporting Assets ← Phase 4: Rollout Phase 5: Migration
Cube migration — ~58% complete. UAT Wave 1 underway.
1
Pangea go-live readiness — final checks Billing, eligibility, and marketing workflows finalized for production go-live. This is the finish line on several months of foundational work.
2
Cube user onboarding begins Broader team access, training, and feedback loops open. The goal: reduce ad hoc data requests by enabling teams to answer their own questions.
3
Spectra re-architected into Cube semantic layer Unifies ROI reporting under one platform. Enables Power BI support and reduces the number of disconnected reporting tools to maintain.
4
Product analytics expanded — CMv3 + Amazon engagement Better visibility into member behavior across touchpoints. Enables product and clinical teams to make faster, more informed decisions.
5
Eligibility refactor begins Foundational work to simplify and modernize eligibility and supplemental file processing — reducing maintenance burden as we add more clients.