Data You Can Use
Get straight answers from your data without waiting on a report from IT
Your data already holds the patterns that drive better decisions. We build the pipelines, warehouses, and models that surface them — so you can predict, not just look back.
Most businesses sit on more data than they can use: spread across systems, in different formats, hard to combine, and slow to report on. We bring it together into a foundation you can actually analyse, then build the models that answer real questions — which customers are about to leave, where fraud is likely, what's driving your numbers.
We lean on open-source platforms where it makes sense to keep licensing costs down, so the value you get isn't eaten up by tooling fees.
The data problems we hear most
Capabilities
Data strategy and roadmap
We define the questions worth answering and the use cases worth building, then map a path to get there.
Scalable data architecture
Design pipelines and storage that handle the volume, variety, and velocity of your data as it grows.
Data warehousing
Build a consolidated warehouse — often on open-source platforms like Hadoop — to cut licensing costs without losing power.
Predictive models
Develop analytics for things like churn prediction and fraud detection that turn history into foresight.
Self-serve dashboards
Give your team visual reporting they can explore themselves, reducing the dependency on IT for every question.
Proof of concept
Validate a high-value use case at small scale first, so you invest with confidence, not on faith.
Our approach
Strategy
We work with your stakeholders to define use cases and an analytics roadmap tied to business outcomes.
Architecture
We design a scalable data platform that fits your sources, your volumes, and your budget.
Prove it
We build a proof of concept on a focused use case to confirm the approach before full implementation.
Build
We develop the warehouse, pipelines, and models, and connect them to dashboards your team can use.
Operationalise
We embed the analytics into your workflows and refine the models as new data and questions arrive.
What you get out of it
Common questions
Do we need huge data volumes for this to be worthwhile?
Not necessarily. The value comes from combining and analysing the data you have, not just from its size. We focus on the questions that matter to your business, whatever the volume.
Will this lock us into expensive software?
We deliberately use open-source platforms where they're a good fit, precisely to keep licensing costs down. You get analytical power without an ever-growing tooling bill.
How do we know a project will pay off?
We start with a proof of concept on one high-value use case. It demonstrates the result on a small scale, so you commit to a full build only once you've seen it work.
Related services
DevOps Consulting
DevOps is more than tooling — it's how your teams plan, build, deploy and run software together. Indivar designs the pipelines, automation and practices that make releases routine instead of risky.
ContainersDocker & Kubernetes
Containers let your applications run the same way everywhere and scale on demand. Indivar helps you containerise with Docker and orchestrate with Kubernetes — without the operational headaches.
Cloud MigrationCloud Migration
A good cloud migration is planned, not improvised. Indivar assesses your estate, builds the roadmap and moves your workloads to AWS or Azure with security and cost control built in from the start.
Show us the question your data can't answer yet
Tell us where you are today and what you're trying to achieve. We'll come back with a clear, honest recommendation — no jargon, no hard sell.