Things We Do Well

From fragmented data to decision-ready systems.

We help organisations consolidate data, strengthen reporting, build reliable analytics foundations, and turn evidence into systems that support real decisions.

Organise Bring fragmented data into cleaner, usable structures.
Analyse Turn data into patterns, insights, and decision views.
Operationalise Embed analytics into workflows, reporting, and action.

Capability areas

What we build and strengthen.

Our work spans the full data value chain — from cleaning and connecting information to building analytics, segmentation, real-time reporting, prediction, and decision-support workflows.

Data Consolidation

Unify fragmented spreadsheets, databases, survey outputs, and operational records into cleaner usable data assets.

Data Warehousing

Design dependable data foundations that support reporting, analytics, governance, and institutional memory.

ETL Pipelines

Build repeatable workflows for extracting, transforming, validating, and loading data into usable systems.

Micro Segmentation

Identify meaningful groups, cohorts, client types, geography clusters, and behaviour segments for targeted decisions.

Process Optimization

Use data to identify bottlenecks, inefficiencies, duplication, and opportunities to improve operational flow.

Lifecycle Analysis

Track journeys, performance stages, delivery cycles, customer pathways, and programme progression over time.

360 Degree Profiles

Create integrated views of people, clients, firms, beneficiaries, projects, places, or institutions.

Real-time BI

Develop live dashboards, reporting layers, monitoring tools, and decision views that update with operations.

AI-fueled Predictions

Apply forecasting and predictive analytics to anticipate demand, risk, delivery gaps, and value opportunities.

ML Decision Making

Operationalise models that support classification, scoring, prioritisation, recommendation, and workflow decisions.

How We Engage

Cross-functional support that helps turn strategy into execution.

10XData deploys cross-functional teams to execute data transformation projects, strengthen evidence systems, and operationalise analytics and AI / ML workflows. Our approach is designed to be practical, efficient, and measurable.

01

Data Strategy

Need help devising and implementing an expert data strategy? Our senior data strategists work to understand your context, architect your environment, prioritise the right use cases, and partner with you on execution.

02

Data Engineering

Need help cleansing messy data and building a dependable data foundation? Our data engineers reconcile, structure, and streamline fragmented information into a cleaner single source of truth.

03

Data Analytics

Need a partner to challenge established thinking with clear, data-driven insight? We help clients prioritise use cases, avoid common pitfalls, generate evidence products, and accelerate smarter decisions.