Business analytics

Advanced analytics for every enterprise

With the same common-sense, simplicity and cost-consciousness, we bring what you love about IKEA to analytics

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Data can do anything

We use it to support our clients’ growth goals, whether that’s implementing self-service reporting to drive data-driven decision making, developing predictive models to maximise marketing, or using real-time consumer mobility insights to inform new site selection.

If you’re looking to make your data work harder for you, get to know your customers better, need expertise to develop a new product or project, or just need an extra pair of hands to support your team’s efforts, Ikano Insight provide advanced analytics solutions and support services to help solve problems and hit targets – the IKEA way.

Learn more about our solutions, services and success-stories below – or book an introductory call with the team to tell us a bit about you, your objectives, and how analytics can help.

Business analytics solutions diagram

How we use data to make a difference

How we use data to make a difference

Location analytics

Identify and track competitor customers, map retail catchment areas, and directly target market share growth.

Customer analytics

Communicate with your target customers based upon their behaviour, life-stage, demographics and preferences.

Marketing analytics

Target the value potential in your customer base, and take action to maintain growth and stem decline

Price modelling

Predict how receptive your customers will be to offers and price changes.

Product analytics

Improve cross-selling and upselling, with personalised product offers for every customer.

Retail location planning

Plan new store locations based on actual customer movement and competitor analysis.

Location analytics

Identify and track competitor customers, map retail catchment areas, and directly target market share growth.

Customer analytics

Communicate with your target customers based upon their behaviour, life-stage, demographics and preferences.

Marketing analytics

Target the value potential in your customer base, and take action to maintain growth and stem decline

Price modelling

Predict how receptive your customers will be to offers and price changes.

Product analytics

Improve cross-selling and upselling, with personalised product offers for every customer.

Retail location planning

Plan new store locations based on actual customer movement and competitor analysis.

How can we help?

Discuss your unique challenges, share your goals, and explore our range of capabilities by booking a 30-minute call with one of our experts.

Just choose a date and time below that suits:

Our work

Location analytics

Location Optimiser analysis reveals new audiences for concept store

Whilst IKEA already possessed extensive customer data within their Family loyalty programme, they now needed to understand the potential of new audiences, and how to directly access them.

Quite simply, IKEA needed to rapidly visualise customer location behaviour, integrated with multiple additional sources of customer profiling data, and customer shopping or transactional data. All in an easy to consume format, that would surface insights quickly, and facilitate positive business decisions.

Sustainability solutions

Sustainability data dashboards in retail

IKEA have big ambitions for 2030, already totally committed to doing their part to tackle climate change, unsustainable consumption, and inequality.

They are delivering sustainable solutions, ensuring positive change for people and the planet by “Making life at home a little more sustainable. Everyday”.

And just like all other companies, the success of their strategy is reliant upon access to accurate, up-to-date data, to measure their current performance and to make the right decisions that ensure even better future performance.

Business analytics

End to end data transformation for southeast Asia’s biggest furniture retailer

With 5 shopping centres and 12 IKEA stores across Southeast Asia, including Singapore, Malaysia, Philippines, and Thailand, plus one more in Mexico, Ikano Retail collects, stores and analyses enormous amounts of data from multiple locations and departments every day.

As the data analytics and business intelligence partner to Ikano Retail, Ikano Insight executed the data warehouse and dashboard capability of their business-wide data transformation strategy named “Data to Insight” (D2i).

Retail analytics

RFV modelling in retail achieves 9:1 ROI on email communications

Maximising customer engagement and value requires constant communication with customers, and IKEA are experts in this field.

RFV modelling was applied to the base to enable a segmented offer strategy deployed through email and MMS.

The RFV model was then overlayed with a recommendation engine to determine the optimum offer for each value based customer segment.

Location analytics

Frosts Garden Centres grow market share

Location analytics reveals competitor customer behaviour

Family owned Frosts Garden Centres constantly feel the pressure of competition from larger nationwide brands. Fierce discounting in the highly competitive UK garden centres market demanded that they find new ways to maximise profitability whilst growing market share.

By understanding consumer visitation behaviours to each Frosts Garden Centre and then each of their competitor sites, Frosts could identify where their most loyal customers originate, and where to find those susceptible to conquest.

Location analytics

IKEA confirms new site selection with location analytics

Forecasting footfall and future market share

More often than not, maximising retail market share in any location can come down to questions such as how many stores should a retailer open, where should they be in relation to one another and the local population, and might they in fact compete with one another?

In the midst of their highly successful expansion across Southeast Asia, IKEA faced this question in Bangkok, Thailand.

With 2 stores already open in the city, they planned to open a third in the very heart of Bangkok, and needed an accurate forecast of footfall, visitation patterns, catchment areas, and the potential for cannibalisation of current revenue.

Frequently asked questions

What are the core elements of retail BI?

The core elements of retail business intelligence (BI) encompass robust data collection methodologies, advanced analytics techniques, intuitive data visualisation, and comprehensive reporting mechanisms. These elements work together to empower retailers to unlock actionable insights from the vast amounts of data that they hold.

Why is business intelligence important in retail?

Business intelligence holds paramount significance in the retail sector due to its ability to catalyse data-driven decision-making. By leveraging BI, retailers can unearth invaluable customer trends, optimise inventory management, streamline operations, revolutionise marketing strategies, and ultimately gain a competitive edge in the dynamic retail landscape.

How does data integrate with other platforms used within retail business?

Data integration lies at the heart of an interconnected retail ecosystem. Through meticulous data integration practices, retailers can consolidate disparate data sources, including point-of-sale systems, CRM platforms, e-commerce portals, supply chain systems, and more. This seamless integration empowers retailers to achieve a comprehensive and holistic view of their business operations and customer interactions, allowing them to make insightful analysis and informed decision-making.

How do Ikano Insight work with their clients?

Ikano Insight adopts a consultative approach in their collaboration with clients, engendering a close partnership rooted in data analytics expertise. Through their proven methodologies, Ikano Insight assists retailers in unlocking the full potential of their data. Their services encompass comprehensive data analysis, granular customer behaviour insights, optimisation of marketing campaigns, deployment of machine learning, impactful self-service reporting via data visualisation, and data-driven business decision support, all aimed at increasing market share, driving growth and expansion, and enhancing customer value.

What types of retailers can benefit from data analytics?

The benefits of data analytics extend across nearly all retail verticals, including brick-and-mortar stores, e-commerce retailers, omnichannel enterprises, supermarket chains, and fashion retailers, among others. Irrespective of retail type, business intelligence empowers retailers to discern customer preferences, refine inventory management strategies, optimise pricing models, enhance marketing effectiveness, and strengthen overall business performance.

How long is a typical project?

The duration of a data analytics project depends upon its scope and intricacy. While project timelines can vary, a typical engagement may span several weeks to months. Factors influencing project duration include dataset size, complexity of analysis, availability of requisite data sources, and specific project objectives. A well-executed data analytics project ensures a comprehensive exploration of insights while balancing efficiency and thoroughness.

Get in touch and have a chat

Chat with our experts at a time that suits you, to explore how advanced analytics will change your business.

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Location analytics in retail

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