Pricing and packaging stalled as anecdotes and conflicting telemetry drove spreadsheet debates. We piped Snowplow events into Snowflake, stitched identities to revenue cohorts, and delivered Mode views under a Pricing Council cadence so decisions used consistent metrics and fewer ad hoc edits.
Travel policy drifted as SAP Concur costs, Customer Relationship Management (CRM) activity, and project outcomes sat in silos. We unified them in Snowflake, encoded attribution and exception logic in data build tool (dbt), and added a Chief Financial Officer (CFO) gate. Decisions cited shared evidence with fewer disputes.
Cybersecurity reviews bogged down as risk registers, scan results, and budgets lived apart, forcing reconciles and ad hoc escalations. We built a governed prioritization model with security and finance approvals, unifying risk, exposure, and cost so investments aligned to risk with clearer ownership.
Trust in analytics eroded as overlapping dashboards, drifting definitions, and ad hoc access caused errors. We added an Alation catalog, Microsoft Entra ID group access, and lineage/certification in Power BI, shifting reviews to decisions with a shared glossary and visible provenance.
Artificial Intelligence (AI) pilots advanced without oversight, approvals came late, and usage lacked a central inventory. We added a ServiceNow intake, an Azure Machine Learning registry, and policy gates for data residency and sensitive data. Rollouts became controlled, auditable, and saw fewer violations.
Quarterly reviews slipped as teams pasted screenshots from different calendars and debated definitions. We automated metric ingestion to a Databricks lakehouse, added a retrieval?augmented copilot and a Vice President approval step. Cadence steadied as edits focused on choices.
Franchise expansion lagged as metrics and documents lived in silos and approvals ran by email. We unified point-of-sale (POS) and supply chain data in Snowflake, added a ranked Power BI view, and routed Legal and Finance via DocuSign. Decisions became consistent with fewer meetings and clear audit trails.
An AI metrics copilot returned inconsistent answers and exposed personal data because it queried mixed sources without guardrails. We limited retrieval to certified data marts and endorsed models, enforced security and redaction, and added an approval queue. Executives got consistent answers with safer access.
Network redesign stalled as costs were stale, site constraints inconsistent, and each scenario lived in a bespoke spreadsheet. We unified transportation, warehouse, and rate data in a governed model and built a Python engine to generate feasible designs with approvals. Reviews focused on tradeoffs with less rework.
IPO readiness dragged as policies in Box, control tests in AuditBoard, and close evidence in BlackLine lived apart, with mismatched IDs and dates. We centralized governed packages in Workiva with role-based approvals, shared calendars, and checks. Evidence was consistent, gaps fewer, audits smoother.
Intelligex helps organizations achieve measurable digital transformation without disrupting how their teams work. We design and build secure, outcome-driven systems, often behind the scenes, that improve speed, scalability, and cost by at least 5× within weeks, not years.
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