AI, Data & Connected Systems
Make better use of your data and connected systems.
Data, artificial intelligence, and connected devices can improve decisions and operations—when the use case is clear and the data is ready. We help you find where they fit and build solutions you can test and trust.
Overview · Innovate
Why it matters
This service brings together data modelling and analysis, artificial intelligence, big data, and the Internet of Things (IoT). Every engagement starts with the business question and an honest look at the data available.
From there, My Econics helps you organise information, build analysis and dashboards, explore AI-assisted workflows, and make use of data from connected equipment—always with clear criteria for judging whether it works.
Problems this can address
- Important information is spread across systems and spreadsheets, so reporting is slow and inconsistent.
- You hold large amounts of data but have little insight into what it can tell you.
- Teams spend time on repetitive classification, routing, or data-entry tasks.
- Equipment and operations generate data that is not used to plan maintenance or resources.
- You want to explore AI but are unsure where it would add value.
Our work
Work in this area
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Education
Online home tuition portal
A tuition portal with a proprietary algorithm that matches students with tutors. It attracted more than 10,000 users in its first year.
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Membership
Member management system
Membership administration for a political party, with full data analytics for nearly 1 million members on a 3D data dashboard.
What we can help with
Four areas we can help with
Data organisation, modelling, and analysis
Structuring data from different sources, building data models, and creating analysis and dashboards that bring important information into one place.
AI-assisted workflows
Intelligent assistants, recommendations, natural language processing to turn unstructured text into usable data, and computer vision where appropriate.
Connected devices and operational data
Collecting and using data from sensors and equipment to monitor operations and support maintenance planning.
Feasibility, data readiness, and evaluation
Assessing whether a use case is viable, whether the data is suitable, how a solution will integrate, and how results will be measured.
Possibilities
Example applications
These are examples of what this service could involve, not descriptions of past client projects.
- Retail and ecommerce insights, such as recommendations or customer segmentation.
- Demand planning and inventory analysis.
- Route planning for logistics operations.
- Predictive maintenance using equipment data.
- Monitoring for agricultural operations.
- Risk analytics and anomaly detection in financial processes.
Typical deliverables
- Use-case and data-readiness assessment
- Data model and integration design
- Dashboards and reports
- Proof of concept or pilot
- Evaluation results
- Implementation and monitoring plan
Confirmed in the agreed scope for each engagement.
Our process
How this fits the way we work
Data and AI work is most effective in short, evidence-led cycles. Discovery focuses on the business question and the available data; solution exploration may include a proof of concept; and evaluation criteria are agreed before results are judged. When an approach proves useful, it is built and integrated like any other production system, with testing, monitoring, and support.
- Stage 1 Understand Your Goals
- Stage 2 Discover & Analyse Key stage
- Stage 3 Explore Solutions Key stage
- Stage 4 Design & Prototype
- Stage 5 Build & Integrate
- Stage 6 Validate & Launch Key stage
- Stage 7 Support & Improve Key stage
Before you start
Considerations and dependencies
- Results depend on data quality, volume, relevance, and access. Some projects begin by improving the data before analysis is useful.
- AI outputs can be wrong or biased. Consequential decisions should include human review and clear accountability.
- Privacy, security, and applicable regulations shape what data can be used and how.
- Models and dashboards need monitoring and maintenance as data and conditions change.
Questions
Frequently asked questions
Not always. Useful analysis and automation can work with modest, well-organised data. A data-readiness review shows what is possible now and what would need to change.
Yes. We assess the use case, the data, and the risks, and we will tell you if a simpler rules-based or reporting solution would serve you better.
We agree evaluation measures, test against real examples, and design for human review where outputs affect important decisions. Ongoing monitoring helps catch changes in performance.
Related services
Often combined with
Product Strategy & Technical Advisory
Product vision, feasibility studies, prototypes, and roadmaps to guide technology decisions before major investment.
Custom Software & Enterprise Solutions
Tailored applications, enterprise systems, ERP and CRM solutions, and integrations built around how your organisation works.
Managed Hosting, Email & Support
Managed web and email hosting, maintenance, troubleshooting, and continuous improvement after launch.
Ready to talk about AI, data and IoT?
Share your goals and we’ll reply within 24 hours to arrange a free 30-minute call. Your enquiry will arrive with this service already selected.