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    Case Study

    Pharmaceutical MNC — Sales ERP Analytics

    01 — The Opportunity

    Siloed transactional data and manual sales oversight

    01

    The Opportunity

    A leading pharmaceutical MNC with operations spanning multiple geographies, therapy areas, and a field force of hundreds of medical representatives faced a growing disconnect between the data trapped in its enterprise-grade Sales ERP and the intelligence needed to run the business. The ERP captured every transaction — orders, dispatches, returns, credit notes — but this data remained siloed within the system, accessible only through cumbersome standard reports that lacked the dimensionality sales leadership needed. Sales strategy relied on delayed, manually compiled retrospection: regional managers assembling Excel summaries from ERP extracts, losing days to data reconciliation before they could analyze performance. Field-force route efficiency was unmeasured, Sales vs. Efforts correlation was invisible, and brand-level performance across territories was assessed anecdotally rather than analytically.

    • 01Enterprise Sales ERP capturing rich transactional data — but locked behind rigid standard reports with no analytical flexibility.
    • 02Multi-geography, multi-therapy-area complexity requiring dimensional analysis that flat ERP reports could not support.
    • 03Field-force route efficiency unmeasured — no visibility into whether reps were covering territories optimally or wasting time on low-value routes.
    • 04Brand-level performance across territories assessed anecdotally — no structured Sales vs. Efforts analysis to diagnose underperformance.

    02 — The Solution

    A unified Tableau analytics layer and route optimization

    02

    The Solution

    We established seamless, automated data pipelines from the Sales ERP into a unified analytics environment — extracting, transforming, and loading transactional data on a scheduled cadence that eliminated manual Excel pulls entirely. On top of this foundation, we built two intelligence layers that addressed the client's most pressing blind spots. First, route optimization algorithms that analyzed field-force movement patterns against outlet locations, call frequencies, and territory potential — identifying inefficiencies and recommending optimized beat plans. Second, a Sales vs. Efforts analysis framework that correlated rep-level activity data (calls, coverage, frequency) with revenue outcomes at the brand, territory, and therapy-area level — making it possible to distinguish effort problems from market problems. The entire solution was delivered as a browser-based, alert-driven monitoring system with threshold-based notifications that flagged deviations before they compounded.

    • 01Enterprise Sales ERP data pipeline integration.
    • 02Route optimization algorithms for peak field sales efficiency.
    • 03In-depth Sales vs. Efforts analysis for brand and rep health.
    • 04Tableau-powered operational, tactical, and strategic dashboards.
    • 05Threshold-based alert system — automatic notifications on KPI deviations enabling proactive intervention before issues compound.
    • 06Beat plan optimization — data-driven route recommendations balancing outlet priority, geographic efficiency, and call-frequency targets.

    03 — The Impact

    From static transactions to alert-driven intelligence

    03

    The Impact

    The shift to a real-time, browser-based analytics platform transformed sales management from a retrospective exercise to a proactive, exception-driven discipline. Regional managers no longer waited for monthly reviews to discover underperformance — threshold-based alerts surfaced deviations in real time, enabling same-day intervention. Field forces operated with optimized routes and clear visibility into how their efforts translated to outcomes, creating a feedback loop that improved both productivity and morale. Brand-level intelligence — previously assembled manually and available only at quarter-end — became a continuous, drillable dimension across every dashboard.

    • 01Eliminated manual overhead through automated ERP data ingestion.
    • 02Enabled proactive response via intelligent threshold-based alerts.
    • 03Standardized strategic metrics across the entire sales hierarchy.
    • 04Field-force productivity improved through optimized beat plans and transparent effort-to-outcome correlation.
    • 05Brand-level intelligence available as a continuous, drillable dimension — replacing quarterly manual compilation.
    • 06Sales management rhythm shifted from monthly post-mortem to daily, exception-driven steering.

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