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The rapidly changing world is your biggest opportunity. We help leading organisations succeed with their most critical change initiatives by unleashing human engagement to unlock business.

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Case Studies

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Unilever

Building capability to grow sales, reduce attrition and increase engagement

GLOBAL CONSUMER GOODS COMPANY

GLOBAL MARKET RESEARCH & DATA INSIGHTS COMPANY

Building the sales organisation of the future to accelerate growth and improve capabilities

GLOBAL MARKET RESEARCH & DATA INSIGHTS COMPANY

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Case Study

Empowering data led conversations and operations

LEADING GLOBAL QUICK SERVICE RESTAURANT BRAND

Empowering data led conversations and operations

Client:

LEADING GLOBAL QUICK SERVICE RESTAURANT BRAND

This company is a successful global fast food franchise that operates in multiple countries and has consistently grown its business over time with a strong brand image and reputation for quality service. As of 2021, this company had a total revenue of approximately USD$2.79 billion globally. The company has continued to invest in new locations, and as of the same year, had over 27,000 restaurants in operation worldwide. The franchise has also made a significant investment in technology, with an increasing number of locations offering online ordering and delivery services.

13 Jan 2024

Client:

LEADING GLOBAL QUICK SERVICE RESTAURANT BRAND

date:

13 Jan 2024

The Brief

Key Challenges

A defined data strategy was needed to drive and further business objectives
- There were missed opportunities to better leverage data for decision making, customer insights, and process improvements
- There was a lack of visibility into key metrics, making it hard to identify performance issues and areas for improvement

Our Solution & Strategies

A series of workshops were built with key stakeholders in mind to discuss the as-is state of the organisation, existing pain points, and the envisioned state of the organisation
A strategy framework was used to identify the key components of the data strategy, consisting of: Visioning, Capabilities, Process, Technology (Data Architecture, Analytics, and Management), and Governance.

Impact & Results

More informed decisions were made around customer preferences, market trends, operational metrics, as well as franchise development and support.
Data collection was standardised and analysed across locations, making it easier to scale operations and replicate successful strategies.

Solution & Strategies

A series of workshops were built with key stakeholders in mind to discuss the as-is state of the organisation, existing pain points, and the envisioned state of the organisation
A strategy framework was used to identify the key components of the data strategy, consisting of: Visioning, Capabilities, Process, Technology (Data Architecture, Analytics, and Management), and Governance.

Impact & Results

More informed decisions were made around customer preferences, market trends, operational metrics, as well as franchise development and support.
Data collection was standardised and analysed across locations, making it easier to scale operations and replicate successful strategies.

Key Challenges

A defined data strategy was needed to drive and further business objectives
- There were missed opportunities to better leverage data for decision making, customer insights, and process improvements
- There was a lack of visibility into key metrics, making it hard to identify performance issues and areas for improvement

Solution & Strategies

A series of workshops were built with key stakeholders in mind to discuss the as-is state of the organisation, existing pain points, and the envisioned state of the organisation
A strategy framework was used to identify the key components of the data strategy, consisting of: Visioning, Capabilities, Process, Technology (Data Architecture, Analytics, and Management), and Governance.

Impact & Results

More informed decisions were made around customer preferences, market trends, operational metrics, as well as franchise development and support.
Data collection was standardised and analysed across locations, making it easier to scale operations and replicate successful strategies.

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