We share anonymised examples of real BI and data platform challenges, the approach taken and the capabilities created — while protecting client confidentiality.
Problem: Sales, branch, product, channel, purchasing, finance and operations data managed across different sources, creating a need for shared KPIs and sustainable management reporting.
Approach: Manage SQL Server DWH, ETL processes, SSAS Tabular semantic models, Power BI reports, DAX business logic, security and operational monitoring as one platform.
Outcome: An enterprise analytics platform where management, finance, operations, purchasing, customer, channel and branch performance can be monitored from one trusted data foundation.
Problem: Long-running jobs, SSAS resource issues and report refresh failures that depended on manual intervention.
Approach: Service and resource monitoring, fail-safe restart mechanisms, job runtime controls and operational logging.
Outcome: Critical BI processes became more visible and manageable, with issues addressed at root-cause level.
Problem: Combine sales data from different brands and branch structures under one reporting model.
Approach: Branch mapping rules, shared time dimensions, brand-specific fact/dimension models and unified reporting queries.
Outcome: A consistent data structure that allows different operations to be compared in one analytics layer.
Brand names, commercial data and proprietary business rules are shared only with permission. Otherwise, case studies are anonymised.
Our success stories focus on the business problem, technical approach and capability created — not simply on the tools used.
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