Optimizing Data Processes and Reducing Costs for Data Analytics Company

Multinational Company is a data analytics firm that helps NGOs and governments worldwide identify illegal and unauthorized online gambling and understand its impact on the legal market. The company was referred to Keiboarder by their Fractional COO, who recognized the company's financial strain due to high data provider expenses that were hindering profitability and growth. The CEO had plans to expand into additional markets, such as fake luxury items or illegal streaming, but the high costs and long turnaround times of their existing data provider made this exploration impossible.

The company faced significant challenges related to its data operations:

• They were spending nearly six figures per month on a third-party company for data and partial report analysis.  
• Reports were taking 2-3 months to complete.  
• The leadership team could not explain how reports were created or identify where a report was in the process.  
• They could only produce 1-2 reports per month.  

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Keiboarder's involvement led to substantial improvements:

• A clearly documented process was established, outlining how reports are made and the different phases involved.  
• A new, less expensive data provider was secured, freeing up capital for the company to invest in other areas.  
• The data analysis process was brought in-house to protect the company's intellectual property and increase its valuation.  
• Report turnaround times were reduced to two weeks.  
• The company became capable of producing 10 reports per month, with the potential for higher output due to reduced rework.  
• A system was designed to categorize only new data points, increasing throughput.  

The engagement lasted three months.  

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Keiboarder's work delivered key business outcomes:

• Improved Profitability: Reducing data costs directly improved the company's financial performance.   ‍
• Increased Efficiency: Streamlining the reporting process and reducing turnaround times increased operational efficiency.   ‍
• Enhanced Scalability: The ability to produce more reports and the design for higher throughput support the company's growth and expansion plans.   ‍
• Stronger Competitive Position: Bringing data analysis in-house protects intellectual property and enhances the company's competitive advantage.  

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This case study provides valuable insights for technology leaders:

• Data Costs Matter: Optimizing data acquisition and processing costs is crucial for profitability, especially for data-driven companies.   ‍
• Process Efficiency is Key: Streamlining workflows and eliminating bottlenecks can significantly improve operational efficiency and output.   ‍
• Intellectual Property Protection: Bringing critical processes in-house can protect valuable intellectual property and enhance a company's competitive position.   ‍
• Strategic Partnerships: Choosing the right data providers and technology partners is essential for achieving business goals.  

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