Understanding How Far You Are From Best Practice ARR Reporting Using Our Customer Cube Scorecard

Emily — Wed, 08 Oct 2025 14:35:16 +0000

INTRODUCTION

• In the rapidly evolving world of B2B SaaS businesses, the customer cube stands out as a strategically important reporting tool.

• A customer cube gives you a structured way to track your most important customer metrics, including Annual Recurring Revenue (ARR).

• A reliable customer cube is especially key for Saas companies backed by Private Equity, as investors will scrutinise these metrics rigorously during due diligence processes.

• After years of working with SaaS clients at various stages of growth, we’ve learned that pursuing “perfect” ARR reporting often becomes a barrier to meaningful progress. We believe that a better path forward is one that involves continuous evaluation and improvement.

• That’s why we’ve developed an ARR reporting scorecard that evaluates the end-to-end process of creating a reliable customer cube.

• It also helps firms understand how far they are from best practice and provides a framework for ongoing evaluation of their reporting capabilities.

THE 5-STAGE FRAMEWORK

Our scorecard is built to assess the 5 critical stages of developing a robust customer cube.

Stage 1: Input Data

All reporting solutions rely on reliable raw data with most customer cubes drawing their data from ERP and CRM systems. Quality and consistency are crucial when inputting and maintaining data, as this directly impacts all subsequent reporting stages.

Some key considerations for the input layer involve ensuring reliability of the source data, integrating systems and setting up automated validation processes.

Ask yourself: Does the input data cover all recurring revenue, customers and products with mappings between them? Are the ERP and CRM systems suitable for a business your size in your sector? Which teams are responsible for each input source?

Stage 2: Data Cleaning & Adjustments

Data from your input system rarely arrives in perfect condition. The cleaning and adjustment layer serves as the critical quality control checkpoint where errors, inconsistencies and anomalies are identified and handled. Businesses should also ensure that they have robust adjustment handling processes in place to handle known errors.

Ask yourself: Does the source data require minimal cleaning and adjustments? Are adjustments automated, and is there certainty that all necessary adjustments are made? Are cleaning and adjustment steps documented? Are adjustments made before a month’s numbers are finalised?

Stage 3: Transformation

The transformation layer is where disparate data sources are unified and restructured into a format that allows you to calculate the relevant metrics displayed on your final dashboard suite.

Ask yourself: Are there any manual processes used to engineer the data? Is data transformed using logical code and a clear order? Are all data transformations documented? Are transformations completed in a recommended tool which multiple people have skills in?

Stage 4: Calculations

This stage focuses on defining the calculations for key customer cube metrics. Beyond basic ARR calculations, this can include estimating churn and calculating metrics like GRR, NRR and CARR. The thought you put into your calculation layer directly impacts the depth and accuracy of the insights available in the final reporting solution.

Ask yourself: Are bespoke company definitions clearly defined and laid out? Are they documented in both code and text? Are key metrics validated once they are calculated and checked to ensure they make sense?

Stage 5: Visualisations

The final stage transforms calculated metrics into accessible reporting, often in the form of a dashboard. Effective visualisation goes beyond simple chart creation. It involves designing interfaces that facilitate quick decision-making while providing the flexibility to delve into detailed analysis.

Ask yourself: Are the right visuals used to answer your key questions on business performance? Can users drill down to row-by-row level data and extract it when they need to? Are self-serve dashboards connected to a single semantic model? Is the ordering of dashboards in line with common user journeys?

THE VALUE OF SYSTEMATIC ASSESSMENT

Our reporting scorecard comprises carefully crafted questions that assess each stage of the customer cube development process. These questions help businesses identify strengths, weaknesses and improvement opportunities within their existing reporting infrastructure.

The scorecard approach provides several key benefits:

Objectivity: By applying consistent evaluation criteria, businesses can objectively assess their reporting capabilities and track improvement over time. Regular assessments build confidence amongst internal teams and external stakeholders in the reliability of customer cube reporting.

Comprehensiveness: The 5-stage framework ensures no critical component of the customer cube development process is overlooked.

Actionability: Rather than simply identifying problems, the scorecard approach provides a roadmap for systematic improvement and indicates how far a business is from best practice.

EMBRACE CONTINUOUS IMPROVEMENT

The pursuit of “perfect” ARR reporting can become a barrier if it prevents businesses from implementing meaningful improvements. Our experience suggests that the most successful SaaS businesses adopt a continuous improvement mindset, regularly assessing and enhancing their customer cube, rather than waiting for perfect solutions.

This approach enables businesses to build more reliable, insightful and actionable customer cube reporting systems that evolve alongside their own growth.

MOVE FORWARD WITH CONFIDENCE

Creating a trusted customer cube requires more than technical expertise; it demands a systematic approach that addresses each stage of the reporting process with equal rigour. Our scorecard provides the framework for this systematic approach, enabling SaaS businesses to build reporting infrastructure that supports both day-to-day operations and strategic initiatives.

For Private Equity-backed businesses and those preparing for investment, this systematic approach becomes even more critical. Investors expect to see not just accurate numbers, but also evidence of robust processes that ensure continued accuracy and reliability.

At Data Vision Services, we specialise in helping B2B SaaS businesses build trusted customer cube reporting systems that drive growth and investor confidence. Our team combines deep technical expertise with practical understanding of SaaS business models to deliver reporting solutions that evolve alongside your business.

If you’re ready to transform your customer cube reporting from a technical challenge into a strategic advantage, we’d love to discuss how our scorecard approach can benefit your organisation.

Get in touch with our team today to begin your journey towards truly trusted SaaS reporting.

The post Understanding How Far You Are From Best Practice ARR Reporting Using Our Customer Cube Scorecard appeared first on DVS - Data Vision Services.

Capability Build – Implementing an Updated Discount Strategy for a Retailer

Emily — Thu, 27 Feb 2025 21:38:38 +0000

Executive Summary

Our client faced significant challenges in utilising data effectively for business decisions, in particular understanding all costs associated with items
We rebuilt their budget model for the baseline margin and levels that were susceptible to market fluctuations, capturing supplier funding and complex markdown dynamics
Through our revamped budget model we identified that back margin of key electrical items was eroding profitability during markdown periods; our insight implemented the strategy to lower markdown spend

The Challenge

A UK-based retailer with revenue over £100m had valuable data but lacked the capability to leverage it for decision-making. Having previously worked with the client on an advisory project, they engaged us to help embed analytics capabilities through a combination of tools and team development. Key challenges included:

A lack of internal capability to analyse and use data for strategic decision-making
Difficulty getting to true margin due to a highly branded supplier base with supplier funding and a mix of item and basket level markdown strategies
The budget model needed to be rebuilt due to market fluctuations limiting the ability to forecast and plan

Our approach

The first phase of work involved understanding the budgeting model in detail – this was critical to be able to get to true margin for items. This involved:

Working with Heads of Finance, B&M and Marketing to understand all the moving pieces which were affecting true margin
Categorised costs into fixed and market-affected, to understand the levers that needed to be flexible for budgeting
Used the components to build a budgeting & forecasting tool for the financial margin, including back margin at the item level

Using the budgeting tool, we then identified that a complex supplier base and promotional strategy was eroding margin in key categories. In particular:

Fulfilment costs varied across categories and needed to be factored into discount decisions
Promotional activity mixed between being supported by suppliers and not, affecting margin
Using a mixture of targeted discounts and promotions kills margin quickly

Through this, we devised and implemented an updated markdown strategy to protect margin whilst holding volume.

Impact

Our budgeting tool gave insight into true margin for items, resulting in:

A clear and trusted budget forecast for the upcoming financial year, giving the foundations for operational planning
Insight into margin eroding markdown strategies
A strategic plan going forward to ensure markdowns enhanced volume whilst protecting margin to an appropriate level

If you’re interested in understanding your drivers of true margin and the impact on profitability, please contact us at contact@datavisionservices.co.uk to see how we can best work together.

"DVS' quantitative analysis and recommendations provide invaluable insight to our business"

Client CFO

The post Capability Build – Implementing an Updated Discount Strategy for a Retailer appeared first on DVS - Data Vision Services.

Emily, Author at DVS - Data Vision Services