Strengthen SME Directory Coverage
Enhance the SME directory with comprehensive and reliable data covering manufacturing and service-sector SMEs across Qatar.
The client is a fully owned government development and financial entity established in Doha, Qatar, with a mandate to support SME development and private sector growth.
To improve policy planning, benchmarking, and ecosystem support, the client sought to enhance its SME directory with accurate, reliable, and comparable business information across manufacturing and service-sector companies.
Strategy consulting objectives designed to provide actionable insights and sustainable competitive advantages
Enhance the SME directory with comprehensive and reliable data covering manufacturing and service-sector SMEs across Qatar.
Generate structured insights across 450+ SMEs to support benchmarking, policy planning, and ecosystem development.
Recommend best practices for automating directory updates and reducing reliance on manual data collection processes.
A systematic, research-driven approach designed to deliver actionable insights and sustainable outcomes.
Step 1
Designed a digital survey to capture detailed KPIs, ensure response consistency, and improve comparability across SME records.
Step 2
Conducted structured interviews with SMEs and stakeholders, validating findings and consolidating intelligence for actionable ecosystem-level insights.
Step 3
Expanded the SME directory with refreshed records, automation-friendly formats, and updated frameworks to streamline future data updates.
The synthesis workshop produced a single prioritised action agenda. All three workstream recommendations were adopted into the client’s FY25 commercial plan within two weeks of delivery.
Captured financial and business KPIs across 750 manufacturing SMEs and 400 service SMEs , building Qatar’s most comprehensive SME dataset.
Improved SME directory accuracy and completeness by 40% , achieving validated coverage of 1,150 companies across sectors.
Improved directory update efficiency by 25% through automation recommendations and standardized data refresh processes.
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