DECISION VELOCITY

    DATA & ANALYTICS: RECLAIMING YOUR DECISION VELOCITY

    Eliminate the 6-week reporting backlog and recover the 50% of analyst capacity lost to "Excel Workarounds."

    Your Principal Data Engineers stop firefighting ad-hoc requests and focus on strategic insights.

    ANALYTICS CAPACITY DATA
    50%Recovered
    Capacity Recovered
    2 Weeks
    Backlog Cleared
    Power of 15™
    Delivery Framework
    Source: Allegiant Health BIaaS Engagement
    01 — THE 5 DATA DRAINS

    WHERE ANALYST CAPACITY DISAPPEARS.

    These five structural issues consume 50% of your Analytics Lead and Principal Data Engineer capacity before they can deliver strategic insights.

    01

    Silent Integration Failure

    Data pipelines break after ERP updates causing days of undetected failures. Leadership makes decisions on stale data.

    02

    Shadow Reporting Compliance Risk

    Finance teams create Excel workarounds outside governed systems, introducing data quality and audit risks.

    03

    6-Week Report Request Backlog

    New KPI requests estimate 6-8 weeks due to backlog and tool complexity. Strategy waits for data.

    04

    Excel Workaround Dependency

    BI tools time out or produce incorrect results forcing manual Excel manipulation. Analysts spend 50% of time on workarounds.

    05

    Database Performance Decay

    Unoptimized SQL queries and Snowflake clusters cause BI tools to time out. Analysts lose hours waiting for data to load, forcing them into manual Excel workarounds.

    02 — THE EXECUTION ENGINE

    HOW ALLARI ELIMINATES REPORT REWORK.

    ID²Eliminate Rework

    Definition Before Sprint

    ID² forces complete requirement definition before any report development begins. No more "I'll know it when I see it" requests that consume 3x the estimated effort.

    • Data source validation upfront
    • KPI definitions locked before build
    • Stakeholder sign-off required
    Power of 15™Clear Backlog

    2-Week Focused Bursts

    Power of 15™ clears reporting backlogs in focused 2-week sprints. We don't add more bodies to a broken queue—we engineer the queue itself.

    • 15-minute billing increments
    • Velocity-optimized delivery
    • Embedded Outcome Teams™
    03 — BI TOOL MIGRATION

    THE STRANGLER PATTERN FOR DATA.

    Migrating BI tools (OBIEE → Power BI, Discoverer → OTBI, Cognos → Tableau) is a multi-year journey. The worst mistake? Pulling your Principal Data Engineers off legacy maintenance to build the new system.

    Result: Legacy reports break. Leadership loses visibility. The migration stalls as analysts scramble to fix production issues.

    The Strangler Pattern: Allari sustains the legacy reports—maintaining, fixing, and optimizing the old system—so your internal Analytics Leads can focus 100% on building the new dashboards.

    Once the new system is validated, we sunset legacy incrementally. Zero degradation. Zero heroics.

    BI TOOL MIGRATION — STRANGLER PATTERN

    LEGACY BIALLARI SUSTAINS
    OBIEEDiscovererCognos
    Your Team Builds
    NEW BI PLATFORMYOUR TEAM BUILDS
    Power BIOTBITableau

    Zero degradation. Zero heroics. Incremental sunset.

    04 — EVIDENCE: ALLEGIANT HEALTH

    BIaaS — BUSINESS INTELLIGENCE AS A SERVICE

    Allegiant Health: 225% ROI on BI Modernization.

    A multi-facility healthcare manufacturer running JD Edwards 9.1 was losing 75 minutes per day to manual report compilation across 8 production lines. Allari deployed Microsoft BI and PowerPivot to replace spreadsheet-driven reporting with real-time operational dashboards.

    Result: 75 min/day of manual reporting eliminated with full visibility across all 8 production lines — delivering 225% ROI.

    VIEW FULL CASE STUDY

    225%

    ROI ACHIEVED

    75min→0

    DAILY MANUAL REPORTING

    8

    PRODUCTION LINES VISIBLE

    PLATFORM: JDE 9.1 + Microsoft BI / PowerPivot

    Where is your analytics capacity leaking?

    A 45-minute Analytics Capacity Audit reveals reporting backlogs, BI tool inefficiencies, and Excel workaround dependencies consuming your Principal Data Engineers' time.

    AUDIT YOUR ANALYTICS CAPACITY GAP