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Case studies

Real problems. Measurable outcomes.

Every engagement starts with understanding your business. Every delivery is judged by the numbers.

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FinanceEnterprise insurance group — cybersecurity leadership & finance teams

Enterprise insurance group — cybersecurity leadership & finance teams

Cybersecurity data was scattered across Oracle SQL, Excel, and ticketing systems with no unified view of incidents, spend, or compliance. Leadership had no real-time visibility into threat trends or whether the security budget was delivering ROI.

30%reduction in incident reporting time
AzurePower BIAzure Data Factory+4
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LuxuryGlobal luxury fashion house — C-suite

Global luxury fashion house — C-suite, regional directors, boutique managers, and clienteling teams

342 boutiques across 4 regions operated with no unified revenue visibility. VIP client data was siloed across CRM, POS, and e-commerce systems. Sell-through rates, collection performance, and waitlist intelligence were tracked manually with no cross-boutique or cross-region comparison.

€4.8Bglobal revenue unified on one platform
SnowflakePower BIDatabricks+4
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RetailMajor FMCG brand — commercial

Major FMCG brand — commercial, pricing, and finance teams across UK and France

UK and France divisions were manually consolidating data each week from Tesco, Carrefour, Nielsen, IRI, and SAP into disconnected spreadsheets. Delayed insights cost millions in missed pricing reactions and promotional opportunities.

3 dayspricing decision cycle — down from 3 weeks
DatabricksAzure Data FactoryPower BI+4
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LogisticsMajor European airline — operations

Major European airline — operations, sales, and customer experience teams

Flight operations, ticket sales, and customer feedback data lived in four separate systems with no unified reporting layer. Executives had no real-time visibility into delay trends, revenue performance, or satisfaction scores — and reporting cycles took days.

60%faster reporting turnaround
Power BISQL ServerSSIS+4
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RetailGrowing multi-location retail business with fragmented store reporting

Growing multi-location retail business with fragmented store reporting

A growing retail business relied on manually consolidated Excel reports from multiple store locations, leading to reporting delays, inconsistent KPIs, and limited operational visibility across the business.

80%reduction in reporting time
Power BISQLPython+1
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FinancePrivate equity-backed financial services firm

Private equity-backed financial services firm, 50 employees

Monthly P&L reporting took 3 days and involved analysts manually reconciling data from accounting software, CRM, and spreadsheets — with numbers that often disagreed.

1source of truth achieved
SnowflakePower BIdbt+1
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