ABI Analytics
TALK TO US
Home › Research & Advisory › Data Analytics

RESEARCH DESK AS A SERVICE

Big-data analytics, built around the decisions you need to make.

Faster yet accurate actionable business insights for decision makers across key sectors – leveraging multi-disciplinary expertise and our Data-To-Decision framework powered by big data analytics, machine learning and structured business judgement.

Request a sample See the framework

80+

Happy clients

Across financial services, FMCG, retail and B2B sectors

800+

Projects completed

Spanning demand, consumer, marketing & risk analytics

20+

Team members

Analysts, data scientists, business consultants

100+

Years combined

Of data science, analytics & business expertise

OUR FRAMEWORK

From data to decision – in four stages.

Our Data-To-Decision framework is the structured approach we use on every engagement. It ensures the analytics actually drives a decision, not just a dashboard.

01 I Descriptive
What has happened?

Analyse data to understand past and present performance – and generate insights on actions needed to improve it.

02 I Diagnostic
Why did it happen?

Analyse trends in business drivers to generate insights on the root cause of the problem – not just the symptom.

03 I Predictive
What might happen next?

Combine big-data analytics and business expertise to project future scenarios and quantify what's likely to happen.

04 I Prescriptive
What should be done?

Design the best possible business decision – incorporating optimisation, simulation and decision modelling.

01 I DEMAND & PRICING

Demand & pricing analytics

Forecast demand, model price elasticity, and optimise pricing across SKUs, segments and channels. Built for FMCG, retail, telecom and subscription businesses – where the difference between an OK pricing engine and a great one is the difference between flat and double-digit margin growth.

15+

Pricing transformations delivered

3-8%

Typical margin uplift from pricing engagements

Discuss an engagement

What we deliver

  • Demand modelling & forecasting
  • Price modelling & forecasting
  • Pricing maturity & quick wins
  • Customer segmentation analytics
  • Price optimisation
  • Promotion optimisation

02 I CONSUMER

Consumer analytics

Customer acquisition modelling, retention prediction, lifetime value, and 360-degree customer view – for marketing, growth and CX teams. We build the models, you operationalise the insights through your CRM and martech stack.

360°

Customer view models deployed

4-6 wk

Typical pilot turnaround

Discuss an engagement

What we deliver

  • Customer acquisition modelling
  • Customer retention modelling
  • Customer lifetime value (CLV)
  • Consumer behavioural analytics
  • Customer segmentation
  • 360-degree customer view

03 I MARKETING

Marketing analytics

Marketing-mix modelling, attribution, campaign effectiveness and sentiment monitoring – to defend, redirect and grow the marketing budget. Especially relevant in cookie-deprecation and privacy-first measurement environments.

30+

MMM & attribution engagements

12-25%

Typical incremental ROAS uplift

Discuss an engagement

What we deliver

  • Marketing returns (ROI) analytics
  • Campaign effectiveness
  • Social media monitoring & sentiment
  • Multi-channel market-mix modelling
  • Marketing resources optimisation
  • Social network & conversion modelling

04 I RISK

Risk & regulatory analytics

Credit risk scoring, fraud analytics, portfolio risk monitoring and regulatory reporting – for banks, NBFCs, insurers and fintechs. Built to plug into BASEL/IRB/IFRS-9 frameworks and submit-ready regulatory reports.

100+

Credit risk models built

BASEL

IRB / IFRS-9 / IND-AS aligned

Discuss an engagement

What we deliver

  • Credit risk modelling & scoring
  • Fraud / audit analytics
  • Credit card & auto loan portfolio analytics
  • Regulatory reporting (BASEL / IFRS-9)
  • AML / KYC analytics
  • Stress testing & scenario analysis

TOOLS, METHODS & ENGAGEMENT

We're tool-agnostic, model-rigorous and senior-staffed end-to-end.

We work in the language and stack you work in – R, Python, SQL, Tableau, Power BI, Spark, KNIME – and bring senior analytics consultants to every engagement.

Schedule a call
What is your Data-To-Decision framework?
A four-stage approach we use on every engagement: descriptive (what has happened), diagnostic (why), predictive (what might happen next) and prescriptive (what should be done). It ensures the analytics actually drives a decision – not just a dashboard.
What analytics tools and models do you use?
Tools: R, Python, SQL, Tableau, Power BI, RapidMiner, KNIME, Apache Spark, QlikView. Models: regression, time-series, classification (logistic, tree-based, ensemble), clustering, association rules, neural networks, NLP and modern deep-learning architectures where the use case warrants it.
What are the engagement models?
FTE engagement (dedicated analyst(s) full-time on your work) or project-based engagement (scoped, fixed-fee or T&M). Many clients start with a 4-6 week proof-of-value pilot before scaling.
Do you handle implementation or just the modelling?
Both. We can hand off the model and supporting documentation for your team to operationalise, or we can stay on through deployment – integrating with your CRM, BI or core systems.

From data to decision – measurably.

Tell us the decision you're trying to improve. We'll come back with a 4-6 week pilot scoped to deliver a measurable lift, not a 60-page deck.

Talk to Us

REQUEST A SAMPLE

See a redacted analytics deliverable.

Tell us what decision you're trying to improve and we'll send a relevant sample – model documentation, dashboard mock-up, or pricing study – closest to your use case.

Sample matched to your sector & data stack
Editable format, white-label ready
Response within one business day

Tell us about your needs

All fields marked with * are required.