Proven Data Analytics Process

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The initial step in data analytics across finance, pricing, and other operational areas involves cataloging available data, assessing its quality and relevance, identifying gaps in information, and ensuring compliance with legal standards. This process establishes a solid foundation for effective, reliable decision-making and strategic insights.


In the modeling phase, KPIs are defined and calculated, focusing on metrics critical for business performance. Executive management verifies these, ensuring alignment with goals. An executive dashboard is created for overview, alongside a specialized dashboard for employees responsible for delivering on these metrics, facilitating targeted performance tracking.


The training step involves reviewing metrics with employees accountable for them, gathering feedback on the metrics and dashboard. Adjustments to calculations are validated by executives and implemented in a subsequent training session. This collaborative approach ensures metric relevance and dashboard effectiveness, enhancing overall performance management.


The reporting step establishes a regular distribution and review cadence for management and responsible employees. This process serves as a feedback mechanism, monitoring implementation progress and goal attainment. It ensures continuous alignment and adaptation of strategies, facilitating effective tracking and achievement of organizational objectives.

Driving Business Transformation with:



Unlock Hidden Profit: 

B2B Companies increasingly seek Pricing Analytics to optimize strategic pricing decisions and tailor pricing models for complex deals. This approach enhances profit margins and identifies pricing inefficiencies, leading to data-driven decision-making. Crucial in the competitive B2B market, it helps maintain profitability and ensures businesses stay ahead of evolving market dynamics.



Win More Sales:

Revenue Analytics is key for B2B companies aiming to boost sales. It involves analyzing customer trends, identifying key value drivers, monitoring customer churn, exploring location-based opportunities, and optimizing cross-selling strategies. This comprehensive approach enables firms to understand market dynamics better, retain customers, and capitalize on sales opportunities.

Human Resources


Grow Your Employees:

Human Resources Analytics plays a pivotal role in nurturing employee growth within B2B companies. By analyzing recruiting ratios, measuring talent satisfaction, monitoring turnover, assessing training effectiveness, and evaluating hourly ratios, it provides insights for optimizing workforce strategies, enhancing employee satisfaction, and driving organizational efficiency and productivity.

Supply Chain


Improve Customer Services:

Supply Chain Analytics is crucial for B2B companies focused on enhancing customer service. It involves evaluating SIFOT (Supplier In Full On Time), analyzing inventory turnover, balancing volume against uncertainty, refining demand forecasting, and monitoring DIFOT (Delivery In Full On Time). This data-driven approach streamlines operations, ensuring customer satisfaction and operational excellence.



Improve Efficiency:

Operations Analytics is essential for B2B companies aiming to boost efficiency. It encompasses monitoring fill rates, tracking cost changes, analyzing quality ratios, assessing warehouse availability, and ensuring inventory accuracy. This multifaceted approach optimizes operational processes, enhances resource utilization, and leads to improved overall efficiency and cost-effectiveness in business operations.



Improve Reporting:

Financial Analytics is vital for B2B companies to enhance reporting quality. It involves analyzing EBITA, evaluating Return on Capital Employed (ROCE), scrutinizing Accounts Receivable and Payable Turnovers, and measuring Gross Margin Return on Investment (GMROI) - Throughput. This comprehensive analysis aids in financial decision-making, improving fiscal health and operational efficiency.