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    Pillar 03

    Business Analytics Implementation

    Instrumentation, clean data, and reporting you can act on.

    The instrumentation that turns activity into evidence. Tracking, data architecture and reporting are specified during the build rather than retrofitted a year later, so the numbers are live the day you launch and every budget decision after it rests on something real.

    Event TrackingData PipelinesWarehousingDashboards
    Analyst reviewing operational dashboards on large displays
    Reporting leadership actually uses, built on data your teams trust.

    What is included

    Pillar 03

    01

    Measurement Planning

    • A written measurement plan
    • Every action worth tracking, named
    • Signed off before anything is built
    02

    Tagging and Tracking

    • Tag manager set up and documented
    • Conversions and goals defined
    • Cookie consent handled properly
    03

    Data Layer and Pipelines

    • One data layer feeding every tool
    • The same definitions across platforms
    • So two reports never disagree
    04

    Warehousing and Data Cleanup

    • A warehouse your data actually lives in
    • Duplicate records merged
    • One customer, one record
    05

    Dashboards and Reporting

    • Live dashboards for you and your team
    • An AI analyst that answers questions instantly
    • No spreadsheet for anyone to maintain
    06

    Attribution and Performance Analysis

    • Cost per new customer, by channel
    • Which spend to keep and which to cut
    • A monthly review of what is working

    Analytics Suite

    Your Business Health Monitor

    One centralized, standardized suite where every source agrees. The dashboards make the health of the business easy to read at a glance, and an AI analyst answers questions from the same data underneath.

    The Dashboard

    Live views of the health of the business: inquiries, bookings, revenue and cost per new customer, all reading from the same definitions.

    Ask Your Data

    An AI analyst answers questions in plain English from the data underneath, so anyone can get an answer without building a report.

    Before You Engage

    Common Questions

    Who is this a fit for?
    Businesses that want business analytics implementation delivered by a senior team, with a defined scope and a clear owner for the outcome.
    How does an engagement start?
    With a consultation about where the business stands. We follow with a diagnostic one-pager, then a written plan with scope, start date, and price.
    What affects cost and timing?
    Scope, the state of existing systems and data, integrations, and how quickly decisions can be made. Pricing is quoted after the consultation as one fixed price that holds for thirty days.
    Who does the work?
    Senior practitioners lead every engagement. Where we use AI tooling, people review the output and stay accountable for decisions and delivery, with written updates each week.
    Typical engagement

    6 – 10 weeks

    Scoped and quoted in writing after the consultation, at one fixed price that holds for thirty days.

    Flatiron Foundry AI

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