CAPABILITIES

Data, Analytics & Dashboards

ETL, BI, and predictive analytics for operators: pharma analytics at a life-sciences commercial-analytics firm for three top-10 pharmaceutical companies; portfolio operations for two North American private-equity firms; embedded data work at a Fortune-tier technology company and a major airline.

PRACTICE NO.
05
PRINCIPALS
AJ · NB
CASES ON FILE
00
FIELD
PRIVATE EQUITY ANALYTICS · PHARMA & LIFE SCIENCES · GOVERNMENT & PUBLIC SECTOR · MARKET INTELLIGENCE
Data Analytics
FIG. 01 · NEIGHBORHOOD MAP · SOURCE: TEAM EXPERTISE DATASET

PROBLEM SPACE

Pipelines, executive dashboards, and analytics that answer business questions.

ETL, BI, and predictive analytics for operators: pharma analytics at a life-sciences commercial-analytics firm for three top-10 pharmaceutical companies; portfolio operations for two North American private-equity firms; embedded data work at a Fortune-tier technology company and a major airline.

ROUTINE CLEARS AUTOMATICALLYEDGE CASES ROUTE TO A REVIEWER

WHAT WE DELIVER

  • 2.1ETL & data pipelines
  • 2.2executive dashboards
  • 2.3natural-language analytics
  • 2.4forecasting
  • 2.5data-quality monitoring
PE · PHARMA · AIRLINES

HOW IT SHIPS

Systems in this practice run as a loop, not a launch. Inputs are aggregated, routine outcomes execute automatically, and anything consequential holds at a review gate where a named person clears it with context attached. Every decision (human or automatic) lands in the audit trail.

INPUTAGGREGATEGATEEXECUTEAUDITHUMAN REVIEW · CONSEQUENTIAL ONLY

Asked about this practice

Questions we get.

The same answers we give on a first call about this practice.

  • FAQ-01What kind of analytics work have you shipped?

    ETL, executive dashboards, and predictive analytics for operators: pharma analytics at a life-sciences commercial-analytics firm serving three top-10 pharmaceutical companies, and portfolio operations for two North American private-equity firms. One of our principals was embedded for over a year in a Fortune-tier technology company's public-affairs data work.

  • FAQ-02Can non-analysts ask questions in plain language?

    Yes. We build natural-language analytics on top of the pipelines, so an operator can ask a business question and get an answer, alongside the executive dashboards and forecasting. The point is answering business questions, not shipping another chart nobody opens.

  • FAQ-03Do you replace our data warehouse?

    No. We build ETL and dashboards over the data stack you already run and add data-quality monitoring so the numbers stay trustworthy. We layer on top rather than migrating your system of record.

OPEN A NEW FILE

Tell us the use case. One call is enough to scope whether there is a fit, and what it takes to ship.

Start a brief