Service

Data & AI

We help monetise data end to end. Over 130 use cases across industries, backed by Data Governance practices.

Business IntelligenceData GovernanceData PlatformsData Science & AI
What we deliver

Our services.

01

Consulting

Building awareness and identifying potential.

  • Building analytical roadmaps
  • Promoting AI in the organisation
  • Hunting the potential of AI
  • AI ROI calculation
02

Implementation

Solution development across the analytics spectrum.

  • Descriptive analytics
  • Predictive analytics
  • Prescriptive analytics
  • Cognitive analytics
03

Technology support

Platform selection, scaling and monitoring.

  • Platforms for data engineers and data scientists
  • Scaling analytics & AI
  • Monitoring and maintenance

We follow a Data Product methodology - focused on use cases.

01

Descriptive Analytics

What happened

Building Business Intelligence reports and dashboards. Finance and accounting, sales analysis, supply chain analytics, HR metrics.

02

Predictive Analytics

What will happen

Using AI algorithms for forecasting. Demand and sales forecasting, churn prediction, risk analysis, customer potential estimation.

03

Prescriptive Analytics

What to do about it

Generating recommendations on what to change to achieve the goal. Price recommendations, promotion optimisation, Marketing Mix, direct marketing.

04

Cognitive Analytics

What the data actually says

Automation using image, text or audio analysis. Document digitalisation, optical quality verification, Large Language Models.

How we prioritise

A robust framework to agree where to start first.

  1. 01

    User relevance

    Is the use case relevant to a real user pain point? We start from problems people actually face.

  2. 02

    Right to play

    Do you have the right differentiated or proprietary data assets and a privileged position in the value chain?

  3. 03

    Strategy alignment

    How does the use case align with other elements of the strategy? Can it be adapted to existing processes?

  4. 04

    Ability to execute

    Is the organisation prepared to support the use case? Do you have the capabilities, technology maturity and manageable implementation risks?

  5. 05

    Value contribution

    What is the expected topline impact and what are the potential cost savings?

130+ use cases

A library of use cases across industries.

Customer Analytics

  • Customer potential analysis
  • Behavioural analysis
  • Omni-channel experience
  • Churn and retention
  • CLV estimation

Marketing

  • Marketing Mix Modelling
  • Campaign attribution
  • Online campaign optimisation
  • Brand management
  • CRM and personalisation

Supply Chain

  • Demand forecasting
  • Inventory replenishment
  • Out-of-stock prediction
  • Routing
  • On-time shipment prediction

Sales & Pricing

  • Price elasticity and recommendations
  • Promotion optimisation
  • Product recommendations
  • Sales rep effectiveness
  • Customer segmentation

Financial Services

  • Credit risk analysis
  • Fraud detection with ML
  • AML and KYC
  • Recovery rate forecasting
  • Debt collection automation

Operations & HR

  • Predictive maintenance
  • Workforce allocation
  • Recruitment optimisation
  • Cost analysis and forecasting
  • Sensitive data masking
Case studies

Delivered work, grouped by the problem it solves.

26 case studies. Pick where your problem sits, then open a case to see the challenge we were given, what we built and what changed.

Case studies
26
1 case study

Advisory

Before anything gets built: finding where AI actually pays, and proving it on paper first.

Talk to us

Your point of contact for Data & AI.

Łukasz Dylewski
Łukasz DylewskiHead of Data & AIConnect on LinkedIn
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