01
Advanced analytics
Statistical and machine-learning methods applied to a specific business question: segmentation, drivers of an outcome, anomaly detection, optimisation, simulation.
05Data & integration · Analytics & decision systems
Data analytics and decision support system development.
Analytics explains what happened and estimates what will; a decision system puts that estimate in front of the person deciding, at the moment they decide.
We build it to order, around the way you work, or extend and connect the one you already have.
01What it is
In plain words.
Analytics explains what happened and estimates what will; a decision system puts that estimate in front of the person deciding, at the moment they decide.
A dashboard tells you sales fell. It does not tell you why, whether it will continue or what to do about it. Many companies stop at the dashboard and call it being data-driven.
Analytics goes into the why and the what next. A decision support system then builds the result into the work itself: the reorder quantity suggested on the buyer's screen, the credit limit proposed with its reasons, the route recommended to the dispatcher.
02What it includes
Every part, explained.
8 parts. Each can be built by itself; together they are one system.
02
Operational analytics
Where time and material are lost in a process: bottlenecks, rework, downtime, yield and service levels, measured from the events the systems already record.
03
Customer analytics
Who buys, how often, what else, and who is drifting away: value, retention, cohorts and the journey from first contact to repeat order.
04
Sales analytics
Pipeline health, conversion by stage, win and loss patterns, pricing and discount effects, territory and rep performance, and a forecast grounded in the deals themselves.
05
Financial analytics
Margin by product and customer, cost drivers, working capital, cash conversion and variance against budget, explained and not just reported.
06
Predictive analytics
Models that estimate an outcome before it happens: demand, churn, late payment, equipment failure, with accuracy measured on your own history and stated.
07
Forecasting
Time-based projections of sales, demand, cash and workload, with ranges, refreshed as new data arrives and compared with what then actually happened.
08
Decision support systems
The analysis delivered inside the tool where the decision is made, with the recommendation, the reasons, the confidence and the option to overrule, and a record of what was decided.
Buy, extend or build?
Analytics is built to order almost by definition, since the question, the data and the decision are yours. Use packaged analytics inside your existing products where they answer the question. Build when the decision is valuable, repeated and specific enough that a general tool does not model it.
Where intelligence fits
A prediction is useful only if someone trusts it enough to act, and trust comes from seeing how often it has been right. Every model we build is measured on held-back data from your own history, its error is reported in plain terms, and its recommendations show their reasons. A model that cannot beat the current rule of thumb is not shipped.
03What it works with
Never on an island.
A system is worth most when it shares its records with the ones beside it.
- Business intelligenceBusiness intelligence turns what a company's systems record into charts and figures its people can read and act on.
- Enterprise data platformsA data platform is the place where data from every system in a company is collected, cleaned and kept ready for reporting, analysis and AI.
- Enterprise AI and intelligenceEnterprise AI is software that reads, searches, reasons and acts on a company's own data and documents, inside the company's own walls.
- Supply chain managementSupply chain software plans and tracks everything between a supplier's dock and a customer's door.
- Customer relationship managementA CRM is the one place a company keeps everything it knows about the people it sells to: who they are, what was said, what was offered and what happens next.
Part of a family
Data, integration and automation: Systems that talk to each other, work that moves by itself, and numbers you can trust.
04How we build it
Five steps, in the open.
- 01
Listen
You describe the work and where it hurts. We look at the systems and the data you have now.
- 02
Specify
A written specification: what the system does, what it does not, what it connects to and how we will know it works. A clear quote before any work starts.
- 03
Build in stages
A working piece at each stage, on real data, so you steer early. The part that matters most comes first.
- 04
Move the data
Existing records mapped, cleaned of duplicates and reconciled against the old system before anything is switched off.
- 05
Hand over
Training, documentation and the keys. Your team can run it, and we keep it working for as long as you want us to.
One set of records underneath
Customers, products, suppliers, people and stock are each defined once. A second system joins the first; it does not start a competing copy.
Runs where you decide
Your own servers, a private cloud or a cloud account that belongs to you. Customer, employee and financial data stays on infrastructure you control.
Yours to keep
You own the code, the data, the configuration and the documentation. There is no licence fee to us and nothing stopping another team from taking it on.
05Questions
Before you ask.
Questions about analytics & decision systems
What is the difference between BI and analytics?
BI reports what happened, reliably and for everyone. Analytics investigates why and estimates what will happen next. A decision system then puts that estimate into the workflow. They build on each other, in that order.
How do you know a predictive model works?
By testing it on data it has not seen: past periods held back, where the real outcome is known. We show the error, compare it with the method you use today, and keep measuring after launch.
How much data do we need?
Enough history of the outcome you want to predict, recorded consistently. Sometimes a year is plenty; sometimes the honest answer is that the data does not yet support a model, and the first step is to start recording it properly.
Guides
Plain-language guides on the problems this work solves.
- CRM, ERP, HRMS, CDP, PIM, WMS and the rest: thirty business systems explained in plain wordsBusiness systems · 8 min
- Custom software or off-the-shelf: how to decide whether to build, buy or extendBuild or buy · 3 min
- Custom CRM or off-the-shelf CRM: which does your sales team need?CRM · 3 min
- When does a company need a custom ERP?ERP · 3 min
- All 16 guides on this →
Rather talk it through? Tell us the problem in a few lines and a person will answer it.
Ask us →Tell us how the work runs today.
How the work runs today, what the system must do and what it has to connect to. A person reads it and replies honestly about whether to buy, extend or build.
Contact
Hire the
swarm.
Tell us what you want the swarm to do. We'll tell you honestly whether it can — and what it would take.
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