EXCO Data Solutions

Solutions — Advanced Analytics & AI

Practical AI, Built on Data You Can Trust.

AI is only as good as the data behind it. We build the governed data backbone first, then forecasting, scoring and generative AI on top, inside the tools your teams already use.

  • Machine Learning
  • Predictive Analytics
  • Big Data Analytics
  • Data Mining
  • Visual Analytics
  • Customer Behaviour
All solutions

The Problem

Most AI Projects Stall Because of the Data, Not the Model.

Promising notebooks rarely become working systems. Data is incomplete, models are disconnected from daily workflows, and nobody can show what the model actually changed.

EXCO starts with one clear business question, checks the data honestly, and only builds a model when it can reach production and be measured.

  • Data isn't ready

    Models are built on incomplete or inconsistent data and never reach production.

  • Proofs of concept that go nowhere

    A promising experiment never becomes a monitored system.

  • Predictions nobody uses

    Scores sit outside daily workflows, so nobody acts on them.

  • Unclear return

    Teams struggle to show what the model actually improved.

  • Models that decay

    Accuracy drops over time and nobody notices.

Our Approach

Assess First. Build in Sprints. Run It Properly.

We start inside your business, not with a template. Every solution follows the same disciplined delivery model, so you see working output early and own a documented, maintainable result.

  1. 01

    Deep-Dive Discovery

    We work alongside your teams to understand how your business really runs, its systems, people and pain points. Every solution is built around that, never a template.

    • 1–3 weeks
    • On-site or remote
  2. 02

    Design & Blueprint

    Agree the target architecture, data model, scope, budget and success measures before any build.

    • Architecture
    • Success metrics
  3. 03

    Build in Sprints

    Two-week sprints with a working demo at the end of each one. No big reveal at the end.

    • 2-week sprints
    • Agile delivery
  4. 04

    Test & Validate

    Every output is reconciled and tested against source data and business rules before go-live.

    • Data testing
    • UAT
  5. 05

    Go Live & Hand Over

    Controlled release with documentation, training and knowledge transfer to your team.

    • Runbooks
    • Training
  6. 06

    Operate & Improve

    Keep it yourself, or let EXCO monitor, support and extend it under a managed service.

    • Managed service
    • Continuous improvement

What We Deliver

Six Analytics Capabilities. Built for Production.

Practical analytics with a clear business purpose, from exploration to deployed models.

Machine Learning

Classification, regression and clustering models trained on your data and deployed into production.

  • Model design & training
  • Feature engineering
  • Model evaluation
  • Deployment & monitoring

Predictive Analytics

Forecasts and propensity scores that tell you what is likely to happen next.

  • Demand & sales forecasting
  • Churn & propensity scoring
  • Credit & risk scoring
  • Cash-flow forecasting

Big Data Analytics

Analytics on high-volume transaction, event and log data using scalable cloud processing.

  • Large-scale data processing
  • Event & clickstream analysis
  • Distributed computation
  • Cost-efficient storage

Data Mining

Discover patterns, segments and relationships hidden in historical data.

  • Pattern & association mining
  • Customer segmentation
  • Anomaly detection
  • Basket & affinity analysis

Customer Behaviour Analytics

Understand how customers buy, churn and respond, then act on it.

  • Customer 360 profiles
  • Lifetime value modelling
  • Churn driver analysis
  • Next-best-action insights

Visual Analytics

Model outputs and insights delivered in interactive dashboards people already use.

  • Prediction dashboards
  • What-if analysis
  • Explainability views
  • Embedded insights

Technology

Languages, Frameworks& Platforms We Use.

Languages & libraries

  • Python
  • SQL
  • pandas
  • scikit-learn
  • XGBoost
  • PyTorch
  • Spark MLlib

Platforms

  • Amazon SageMaker
  • Databricks
  • Azure ML
  • Jupyter

Generative AI

  • Claude API
  • OpenAI API
  • Amazon Bedrock
  • RAG pipelines
  • Vector databases

Typical Engagements

AI That Moves a Business Metric

Retail · Forecasting

Demand Forecasting

SKU-level demand forecasts feeding purchasing and stock decisions.

Goal: Fewer stock-outs and less dead stock

Banking · Risk

Early Warning & PD Models

Borrower-level risk scores that flag deteriorating accounts early.

Goal: Earlier action on at-risk loans

Commerce · Fraud

Risky Order Detection

Scoring that flags orders likely to be fake or refused at delivery.

Goal: Lower return-to-origin losses

Any sector · Retention

Churn Prediction & Datamart

A churn datamart and propensity model that ranks customers by risk.

Goal: Retention spend focused where it matters

FAQ

Common Questions

Is machine learning affordable for a mid-sized business?

Yes, when it starts with one clear use case. A short feasibility check comes first, so you only invest in models that can reach production.

Related

Paired With the RightSolutions & Services.

Solution

Data Management & Engineering

Pipelines, integration, data modelling and warehouses that bring every source into one reliable platform.

Explore

Solution

Data Visualization & BI

Dashboards, visual analytics and KPI frameworks on Power BI, Tableau, Superset or any leading BI platform.

Explore

Product

CallBridge

Repeat-sales calling for online sellers: decide who to call, protect customer data, and recycle every outcome. Now onboarding pilot sellers.

Explore

Industry

Banking & Financial Services

Data quality, financial and regulatory reporting, risk models and customer analytics for banks and NBFIs.

Explore

For US, UK, EU & Middle East clients

Senior engineers with up to 14 years' experience, at a fraction of US, UK or European rates, with working hours that overlap yours.

For Bangladeshi businesses

The same international-standard team that serves global clients, with special local pricing in BDT.

Contracted SLAs, honest billing

Response times and deliverables are written into your contract. If we miss a contracted SLA, you don't pay for that incident. No hidden charges.

Your Data Already Knows. Are You Listening?

Bring one business question. We will tell you honestly whether AI can answer it, and what it takes.

Send us an email+880 1724-446572