Insight starts with people who understand your business. We bring deep technical expertise and the judgement to make data and AI projects land.
Our award-winning team provides a full set of services, from solution architecture, design and delivery to data visualisation, big data, forecasting, analysis, performance optimisation and quality reviews.
Uniquely, our consultants are skilled in multiple BI and analytics tools, so they know the strengths of each and the approach that makes a project succeed.
We work with you all the way from data strategy through development to deployment, and we keep supporting you afterwards. We also offer a full range of training.
Every project starts with requirements gathering: we work with your technical and business stakeholders to establish what the project really needs to deliver.
What we’ve delivered
Real-time profit and loss forecasting for consumer goods
The challenge. Giving a real-time view of a consumer packaged goods (CPG) business is tough, even more so when it spans 50 markets, several ERP systems and tens of thousands of products and customers.
What we did. We delivered real-time reporting across all of it, so the company forecast is always up to date. Our data platform continuously brings together billions of rows of data, combining actual transactions with the forecast into a single view that can be compared with plans. Sales, trade marketing and finance now see the impact of promotions on the company P&L straight away, and the system has saved millions in trade spend.
Markets in one real-time forecast
50
Reports over billions of rows of data
<
1
s
C-suite dashboards
The challenge. A publicly listed consumer electronics company wanted its executive team to have a real-time view of the entire business.
What we did. We brought the data sources together, transformed the data into a consistent schema, and designed and built the C-suite dashboards.
ERP systems
20
+
Combined number
1
Combining data in CRM
The challenge. Our client wanted their CRM to show users more than sales and customer data.
What we did. We worked with them to map the additional data sources, where the data was stored and what needed extracting, and with the CRM users to learn which data would help them most. We built connections to extract finance, operations and marketing data into a single repository, and surfaced it through an analytics platform embedded in the CRM.