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Digital Growth is about creating a plan for how technology supports business goals, driving innovation and improving competitiveness.
A strong IT strategy aligns technology with business to set clear goals and a roadmap for the future. Measuring digital maturity shows strengths and weaknesses, while highlighting areas for improvement.
AI readiness ensures the company can use AI as a growth driver. Together, these efforts create a solid foundation for digital transformation and long-term growth.
IT Strategy, Digital Agenda & Roadmap
IT Strategy, Digital Agenda & Roadmap focus on connecting technology with business goals. Strategic planning ensures IT drives innovation, improves efficiency, and supports growth.
This includes creating a future-proof IT strategy, a governance model that balances agility and control, and a plan to adopt technologies like cloud and AI. It also includes a strong data and security strategy to support decisions and protect against threats.
The focus is on building an IT function that is flexible, efficient, and secure for both current and future needs. These areas can be adapted to specific business or industry needs and usually form the basis of an IT strategy and roadmap.
Primary efforts
Creating a plan for how technology supports business goals, improves processes, and drives innovation. The focus is on connecting IT with the business value chain for better alignment and results.
Creating and implementing an IT operating model that balances agility with control. It includes governance structures, defined roles, responsibilities, and decision-making processes.
Developing a structured plan for cloud adoption, technology platforms, and software architecture. It also evaluates “make-or-buy” decisions and how technology helps scalability and cost efficiency.
Developing a plan for data management, analytics, and artificial intelligence. Focus areas include data-driven decisions, data quality and security, and creating value with advanced analytics.
Creating a plan for cybersecurity and compliance to protect against threats and meet regulatory requirements. It covers risk analysis, policies, and technologies to handle present and future risks.
Measuring Digital Maturity
Measuring Digital Maturity helps companies assess how well they use digital technologies to create value. The focus is on mapping current capabilities, benchmarking against industry standards, and evaluating readiness for digital transformation.
This involves setting clear metrics and KPIs to track progress and find improvement areas. A structured analysis delivers a roadmap to prioritise initiatives and investments that boost digital maturity.
This approach ensures a clear way to assess and improve digital maturity, which is vital for driving digital transformation and staying competitive.
Primary efforts
Analysing the organisation’s current digital capabilities in areas like technology, data use, customer experience, and employee skills. Focus is on finding strengths and weaknesses.
Comparing the company’s digital maturity to industry averages and best practices. Focus is on finding where improvements can lead to competitive advantages.
Comparing the company’s digital maturity to industry averages and best practices. Focus is on finding where improvements can lead to competitive advantages.
Defining relevant key indicators (KPIs) to measure digital maturity over time. Focus is on clear metrics for technology, process improvements, and business results.
Developing a plan to improve the organisation’s digital maturity. Focus is on prioritising investments and initiatives based on maturity analysis and strategic goals.
Measuring Organisational AI Readiness
AI readiness measures the company’s ability to adopt and scale artificial intelligence as a strategic tool. It includes analysing infrastructure, data, and internal skills to find strengths and weaknesses.
The evaluation also looks at the AI strategy, cultural readiness for innovation, and governance or ethics for AI use. This process provides a clear assessment of the organisation’s maturity and a roadmap for successful AI implementation.
These services ensure a complete view of readiness and help identify improvement areas and implementation opportunities.
Primary efforts
Evaluating the organisation’s tech setup for AI. This includes data infrastructure, data quality, and access to tools and platforms. Focus is on identifying gaps and areas to optimise.
Analysing the organisation’s AI skills and talent. This assesses employee technical skills, AI expertise, and needs for training or external help.
Assessing if the organisation has a clear strategy for AI. This includes analysing how well AI is integrated into business strategy and decision-making.
Examining how open the organisation is to AI and new technologies. Focus is on willingness to experiment, take risks, and adapt to change.
Analysing ethical frameworks, risk management, and regulatory compliance for AI. Focus is on governance models that ensure responsible and transparent AI use.
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