Discover how Revology Analytics propels mid-market businesses to sustainable, profitable growth by building advanced, in-house Revenue Growth Analytics & Management (RGM) capabilities, fast.
Our senior expert-led, hands-on approach ensures you own the tools, insights, strategy and processes needed to thrive long-term.
We would love to hear from you.
Let’s chat!
Gain exclusive access to the latest insights from over 150 commercial leaders on the state of Revenue Growth Analytics in 2025, based on our expanded Revenue Growth Analytics Maturity Scorecard™.
Discover how Revology Analytics propels mid-market businesses to sustainable, profitable growth by building advanced, in-house Revenue Growth Analytics & Management (RGM) capabilities, fast.
Our senior expert-led, hands-on approach ensures you own the tools, insights, strategy and processes needed to thrive long-term.
We would love to hear from you.
Let’s chat!
Gain exclusive access to the latest insights from over 150 commercial leaders on the state of Revenue Growth Analytics in 2025, based on our expanded Revenue Growth Analytics Maturity Scorecard™.
From fragmented spreadsheets that disagree to one set of numbers your CFO signs off on. We build the unified commercial data platform, the automated reporting, and the AI-powered intelligence that every pricing, promotion, and growth decision runs on, in your own environment. It is the foundation discipline of Revology’s end-to-end Pricing & RGM practice, co-designed with your finance, strategy, and commercial teams, and it is the governed data asset that makes AI agents safe to deploy. Built in your environment in 90–120 days; typical year-one outcome when the pricing layer is in scope: 200–400 bps of gross profit.
Commercial analytics transformation fails when it produces dashboards instead of decisions. Revology builds a commercial command center inside your own environment: unified data from your ERP, point-of-sale, syndicated, promotion, distributor, and competitive feeds; a price-cost-volume-mix decomposition that pinpoints exactly where margin moved, down to the customer and SKU; customer profitability that reconciles to the general ledger; promotion ROI for you and your supply chain partners; competitive price intelligence; and a what-if scenario model your team uses to stress-test pricing and promo moves before they reach the market. For mid-market companies ($100M–$2B), the shift is from weeks of ad-hoc spreadsheet work to answers in minutes, with the data foundation, models, and code owned by your team after the 90–120 day engagement, not rented from a vendor. Your CFO and sales VP see the same number, and your AI agents read from it.
Every elasticity model, promo ROI engine, and pricing agent Revology builds runs on this layer. Companies with fragmented commercial data usually start here; the pricing analytics click in as soon as the foundation holds. See the end-to-end practice →
No. It is a standalone discipline. Many clients start here when their commercial data is fragmented across spreadsheets, systems, and subsidiaries, then layer pricing and growth analytics on top once the foundation holds. It is also the data backbone underneath every Pricing & RGM engagement and the prerequisite for any AI agent you want to trust.
We build inside your existing environment, not on some proprietary platform you have to rent. Power BI, Tableau, Microsoft Fabric, Azure, Snowflake, and Databricks are the most common. Our partners work side by side with your data and IT teams to co-design the solution so it fits your architecture and security needs, with zero technical bloat. You own the models, pipelines, and IP outright. No license fee. No per-seat charges. No surprises.
Yes. Revology Analytics is ranked #1 by PeekWire in "Best Revenue Growth Management Consulting Firms for Mid-Market Companies," April 2026, recognized for hands-on execution in pricing, sales and marketing AI enablement, and commercial analytics transformation, and for embedding senior experts directly into the client's team.
CFOs and strategy officers are asked to steer margin and growth from spreadsheets that disagree with each other. When every subsidiary reports differently, a simple question, like which channels made money last quarter, takes three analysts and two weeks.
You know the symptoms: a 50-tab planning workbook that nobody trusts, promotion ROI calculated three different ways, customer profitability numbers that never match the ledger, and a head of RGM who becomes the bottleneck because getting the right numbers takes hours. If your company has grown through acquisition and underinvested in data, you feel this pain even more. No AI initiative can succeed in this environment. When agents are fed fragmented numbers, they make bad decisions, fast and at scale.
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.
Manual reporting and ad-hoc analysis become a thing of the past. Data quality issues that each subsidiary used to solve in their own way get addressed once and for all, right at the source.
Your CFO, sales VP, and head of RGM are finally on the same page, working from a single set of reconciled numbers. Questions that used to take three analysts and two weeks now get answered in a single meeting. You spot unprofitable promotions before they hit the calendar, and you price customers based on real cost-to-serve. With a governed foundation, your pricing engines and AI agents run on numbers you can trust. In our experience, when the pricing layer is included, companies typically see 200–400 bps of gross profit improvement in year one, usually a 10–12% increase in operating profit dollars.
We build the solution in your environment, side by side with the people who will actually use it. Our team includes former finance, RGM, and data science leaders who have built these platforms from the inside, so your data model matches how your business really operates, not a generic vendor template. There’s no license fee, no per-seat charges, and no unnecessary technical bloat. Your team is trained to own and operate the platform, but if you want us to keep it running smoothly, a managed-services agreement is available at a modest monthly fee.
Where can we identify key opportunities to integrate data and insights automation to empower CFOs and Chief Strategy/Transformation Officers in making more informed decisions?
Can our commercial data be used by AI agents, and what conditions must be met before we can rely on them for a pricing or promotion recommendation?
What steps should we take to implement scalable, automated reporting and forecasting solutions that effectively improve sales productivity, financial performance, and market responsiveness?
How can we develop a streamlined process for consolidating disparate data into a global data warehouse to establish a reliable single source of truth for strategic commercial decision-making?
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.
Start with a governed commercial data foundation. That means building a single commercial data model that connects your ERP, point-of-sale, syndicated, promotion, and distributor data. Use a business-owned master data app, reconcile everything to your general ledger, and set up quality checks every time you refresh. The goal: every team works from the same, trusted source of truth.
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.
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.
AI Agent Layer: Narrow, governed agents that read from the semantic model and take over repetitive analytical work (performance commentary, promotion post-mortems, margin leakage checks), with your people approving every recommendation.
Domain-Specific Performance Insights: Provide tailored insights into department-specific performances such as finance, sales, 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.
Adoption and Operating Rhythm: Training, office hours, and a reset operating rhythm (templates and processes for weekly sales and pricing reviews, monthly promotion review, quarterly governance) so the platform becomes how the company runs, not a dashboard people admire. Adoption metrics are tracked from the first month.
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Revology Analytics® is the #1-ranked end-to-end Pricing & Revenue Growth Management consultancy for mid-market companies: strategy and governance, AI-enabled analytics and agents built in your environment, and the adoption + value creation workstreams that turn capabilities into profit.
Over 225 companies took our scorecard to improve their Revenue Growth Analytics & Management capabilities.
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