Data Modelling

Data Modelling.
Enabling data-driven decisions for transformational growth.

Many organisations describe themselves as being data rich but insight poor. Our long history of turning data into insights, supports strategic and tactical thinking to drive growth.

We perform descriptive, diagnostic, predictive and prescriptive analytics; creating penetrating insights that enable data-driven decisions for transformational growth.

Our team of Data Engineers create data platforms using appropriate technologies, bringing data sources together, cleansing and identity-matching. Structured and unstructured data is then combined to develop a complete view of customers: who they are, what they think, how they behave and what they buy. We then interrogate that data in a number of ways:

Descriptive Analytics: Business Information Analysts use reporting tools such as PowerBI and Tableau to show what has happened as the foundation of insight.

Diagnostic Analytics: Data Analysts understand why it happened, using a range of languages including R, Python and SQL.

Predictive Analytics: Using advanced techniques such as machine learning algorithms, Data Scientists create recommendations for greater efficiencies and effectiveness of activities across sales and marketing, customer communications and operations.

Prescriptive Analytics: Modelling techniques to understand who can be influenced and by how much to drive growth through customer lifetime value.

Digital Analytics: Website performance, SEO, customer journey mapping, measurement and attribution.

Customer Segmentation: Multi-layered segmentations developed to power channel agnostic customer journeys.

Our specialisms

  • Modelling and predictive analytics
  • Segmentation
  • Key driver analysis
  • Data linkage analysis
  • Product and service optimisation
  • Simulation
  • Text analytics
  • Statistical modelling
  • Business information reporting, data visualisation
  • Digital analytics
  • Measurement and attribution

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