Advanced Analytics

Unlock your data value

Access advanced analytical models usually only available to enterprise scale companies with dedicated data science teams.

Identify growth opportunities

Through a combination of data enrichment, descriptive and predictive analytics, identify patterns in your data resulting in more effective communication with your customers and improved marketing efficiency.

Advanced analytical models without the need for a dedicated data science team
Data enrichment to understand your customers wider characteristics
Statistical based segmentation grouping customers based on data rather than gut feel
Predictive models forecast future trends and a customers propensity to behave in a certain way
Become a data-driven organisation acting on insight
Forecasting, RFM, data-driven customer segment

Unified Data Source

All your data sources combined into a central location, deduplicated and readily available for use anywhere

Single View of the Customer

A complete view of all your customers activity, deduplicated and ready to be activated

Save Time on Repetitive Tasks

Eliminates the need to manually download and wrangle data to produce insights

Dynamic Strategic Insights

Automatically updating KPI’s track primary reporting areas and are available to share with key stakeholders

Built-in Data Science

Group customers using built-in descriptive and predictive analytical models without the need for a dedicated team

Drive Tactical Actions

Power campaigns from clean, unified data – segmented based on data-driven insights

Data Enrichment

Broaden your knowledge of who your customers are, enabling insight such as lifestyle, affluence, age group, and demographics.

  • Geographical hierarchy grouping
  • Profile by supergroup
  • Affluence purchase behaviour
  • Identify similar audience groups
  • Current audience profiles
  • Lifestyle characteristics
  • Demographics and family size
Plus many more
AWS Open Data
DVLA
Data Europa
Data Gov UK
HM Land Registry
Office for National Statistics
Ordnance Survey
The World Bank
World Health Organisation
Example dashboard for RFM

Descriptive Analytics

Understand what has already happened in your organisation to describe past performance.

RFM

Analyse customer value using segmentation based on individual purchasing behaviours; recency, frequency, monetary (value).

KPI Trees

Pinpoint issues and highlight success based on a decomposition of your sales into their most basic components.

Marketing Attribution

Use first touch, last touch or multi-source attribution to understand where you're acquiring customers.

Predictive Analytics

Use all your customer information to predict their behaviour – enabling targeted campaigns and accurate forecasting.

Forecasting

Estimate future company performance or customer behaviour over a given time period, such as sales, customer sales value, demand, and stock volume.

Clustering Segmentation

Group customers who would not usually be linked to surface hidden trends and common behaviours in your data.

Propensity modelling

Predict the likelihood that customers behave in a certain way based on their previous actions.
  • How likely is a customer going to purchase in the nest 7 days?
  • How much is a customer likely to spend?
  • How likely is it a customer will churn?
Plus much more

Recommendation Engine

Create a personalised experience for your customers by recommending products that fit their behavioural purchase patterns, without bombarding them with the same item over and over again or with products too similar to previous purchases.
Forecasting model example

Maximise your data value

See how The Data Refinery can unlock the value in your data.
Book a Demo

Ready to unleash the power of your data?

Whether you want to streamline your reporting, create data-driven marketing segmentations, or just want all your data in one place, we'll show you how The Data Refinery can maximise the value of your data.