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Services

Services

A non-linear and strategic approach to data

Our strategic expertise enables us to deliver optimised growth alongside the build of advanced analytic capabilities

Strategic Advisory

Pricing

Product

Customer

Marketing

Data Capabilities

Visualisation

Reporting

Data Strategy

Tools

We are experts in using data to make strategic decisions and deliver optimised business growth

Analytics Diagnostic

We consolidate and clarify the data reporting through:

  • Data ingestion, warehouse and modelling: Creating a single source of truth
  • Capability roadmap creation

Reporting + Tool Development

We build and develop tools such as: 

  • Core reporting structure (e.g. ARR Snowball)
  • Operational management tools
  • AI, ML and predictive analytics

Data Valuation + Exit Prep

We support the later stages of your journey through:

  • Customer cube preparation and data cleaning
  • A transaction ready view of key KPIs (ARR, NRR etc.)
We leverage synergies between our capabilities to deliver strategy powered by rigorous analytics, and data capabilities that drive board-level insight

Growth Strategy + Preparation

We help you explore your business through:

  • Building a strategic view of performance drivers
  • Understanding performance vs. competitors/market

Performance Enhancement

We provide data-led commercial recommendations across areas such as:

  • B2B Pricing optimisation
  • Marketing effectiveness
  • Customer retention
  • Product/Proposition

Commercial Exit Prep

We prepare your company by:

  • Building your commercial story and business plan
  • Proving out key parts of the growth story e.g. leveraging internals to prove cross-sell and bolt-on synergy

Want to know more?

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Price Optimisation

  • What is the balance between profit and volume – by product type?
  • What are the key personas and value metrics that should drive pricing decisions?
  • How do we design price structures to direct customers to the right product for them?

Product Strategy

  • What are our product and category roles?

  • Which products are most and least profitable?

  • Where can we launch new products or trim the range – and what are the customer implications?

Customer Analytics

  • How do different cohorts and sources perform, (e.g. revenue retention and churn)?

  • Where are there opportunities to drive more value (e.g. cross-sell, up-sell)?

Marketing analytics

  • Which marketing channels are paying back – in terms of ROI, brand value and acquisition?

  • What is the right mix to drive our funnel – now and in future?

  • What are the right intervention points to combine marketing and promotion for customers?

Visualisation

  • How can we get quick insights from our data?

  • How could we give our less data-literate team members a way to understand the business better?

  • Can we be using our data in a more integrated way?

Reporting

  • What are the key performance indicators from our data and how can we get better visibility around them?

  • What is the best way for us to reactively flag changes in our customers’ behaviours?

  • How can we enable self-service capabilities for accelerated decision-making?

Data Strategy

  • How can we improve the way that we collect and manage our datasets?

  • How can we store and organise data while maintaining a balance of accessibility and security?

  • How can we help define best practices to ensure data integrity and reliability?

Tools

  • Are we using the best data tools for our strategic goals?

  • What developing technology exists that we could be using to get ahead in the market?