Edit Content

Main Menu

Let's chat.

Have a Revenue Growth Analytics pain point, a question, or a content suggestion?

Commercial Analytics Transformation

From fragmented data to AI-powered commercial intelligence. We architect unified data platforms, deploy predictive analytics and machine learning models, and build automated BI solutions—giving CFOs and strategy leaders the real-time insights they need to drive margin and growth.

The Problem

To drive revenue growth and enhance sales productivity in a global market, chief transformation and strategy officers and CFOs analyze various data points on crucial metrics such as sales trends, profit margins, market share, and pricing power.

Manually analyzing each metric in isolation on random Excel sheets and ad-hoc analytics processes from various subsidiaries is time-consuming and resource-intensive. This is especially true for companies that have grown inorganically and invested little in their data and analytics infrastructure.

Companies are also left behind by competitors who embrace automation and modern technologies to optimize their commercial analytics efforts. Thankfully, our commercial analytics solution creates a single source of truth, which CFOs and other domain executives can leverage to substantially augment their decision-making process and spur global transformation.

The Solution

Our commercial analytics transformation capabilities make these solutions come to life for CFOs, chief transformation, and strategy officers:

Data Automation: Streamline global data collection and processing from various systems and subsidiaries.
Insights Automation: Use tools like Tableau and Power BI to provide scalable analytics for your commercial teams so they can win more, drive customer share of wallet, or save costs.
Automated Financial Reporting and Forecasting: Enhance financial visibility and predictability.
Automated Sales Reporting: Track and analyze sales data efficiently, integrating shipment, consumption, and sell-out data where applicable.
Automated KPI Reporting: Monitor key performance indicators automatically.

These solutions eliminate manual reporting and time-consuming, ad-hoc analysis. They also enable companies to rectify global data quality issues seamlessly.

The Outcome

The different solutions powered by Revology’s commercial analytics solution serve as purpose-built data hubs for domain-specific functions in Sales, Finance, Supply Chain, and others.

Each data hub produces granular data to facilitate specialized revenue growth analytics, leading to commercial excellence in each department. Commercial analytics gives CFOs and transformation officers domain-specific performance insights to help them make strategic decisions that boost sales productivity, cost savings, revenue mix, and operational efficiency.

The Revology Edge

Our commercial analytics solution helps CFOs and transformation officers make sense of their commercial data and start capitalizing on insights at scale. It allows companies to automate critical growth analytics processes like Sales and Financial KPI reporting and empowers CFOs to derive insights from data automatically.

To thrive in a competitive B2B or B2C global market, executives must adopt an insights-driven culture of excellence to achieve continuous improvement and one-up competitors.

Contact us today for a customized solution and experience the Revology edge ➤.

We Will Find an Answer to Your Questions

Learn More About Our Pricing & Revenue Management Advisory Services

Global Data Warehouse and Analytics Hubs

Centralized Data Management: Build a robust global data warehouse in your preferred cloud stack, such as GCP, AWS, or Microsoft Azure, to centralize data storage and improve data consistency, accessibility, and decision-making speed. This foundational capability ensures that data is stored securely and can be accessed uniformly across the organization.

Automated Data Integration: Seamlessly integrate data from diverse systems, including various ERP and other proprietary systems, ensuring uniform data access and quality across departments. This reduces data silos and enhances data reliability for better decision-making.

Data Governance and Quality Management: Establish data governance frameworks and quality management processes to ensure data accuracy, consistency, and security. This involves setting policies, standards, and procedures for data management across the organization.

Advanced BI Tools Deployment for Domain-Specific Insights: Implement advanced dashboards for Sales, Finance, Marketing, or Supply Chain in Power BI, Tableau, or custom web applications. These tools provide global insights, facilitating informed decision-making across all organizational levels.

Streamlined Reporting and Forecasting

Automated Reporting Processes: Develop and automate comprehensive reporting solutions that minimize manual labor and improve the accuracy and timeliness of reports across finance, sales, supply chain, regulatory, and HR functions. This ensures that key stakeholders have access to real-time, reliable data.

Enhanced Forecasting Models: Utilize AI/ML algorithms and traditional statistical models to improve the accuracy of finance, sales, and manufacturing forecasts. Integrate predictive analytics to support strategic business decisions and identify potential risks and opportunities.

Custom Dashboard Development: Design custom dashboards that provide senior executives with real-time access to crucial business metrics. These dashboards enhance visibility into performance and operational efficiency, enabling proactive management and strategic planning.

Operational and Process Efficiencies

Process Automation Across Functions: Automate key business processes such as billing, invoicing, and procurement, significantly reducing manual interventions and associated costs. This leads to increased efficiency and reduced error rates.

Supply Chain Optimization: Implement solutions for real-time inventory, logistics, and procurement insights. These solutions enable more efficient performance, cost reductions, and improved supply chain responsiveness.

Predictive and Prescriptive Analytics Integration: Incorporate predictive and prescriptive analytics into BI solutions to provide forward-looking insights and actionable recommendations. This enhances the ability to anticipate market trends, optimize operations, and drive business growth.

Strategic Decision Support Systems

Domain-Specific Performance Insights: Provide tailored insights into department-specific performances such as finance, sales, HR, and supply chain using customized BI solutions in Tableau, Power BI, or custom web platforms. These insights support informed decision-making and strategic planning.

Board-Level KPI Monitoring: Develop high-level KPI dashboards for board members and C-suite executives that track critical metrics. These dashboards drive strategic discussions and decisions by providing a clear and concise view of organizational performance.

Scenario Planning and Simulation: Develop scenario planning and simulation tools that allow businesses to model different strategies and their potential outcomes. This helps in assessing risks, preparing for uncertainties, and making informed strategic decisions.

Change Management and Adoption: Facilitate the adoption of new technologies and processes with structured change management strategies. This ensures alignment with business goals and enhances user engagement and training, leading to successful implementation and sustained use of new systems.