A data-mature organisation has developed the necessary skills, processes, and infrastructure to maximise the value and potential of data throughout its operations. It has successfully developed the required skills, established efficient processes, and implemented robust infrastructure to maximise the value and potential of data across all aspects of its business. A data-mature organisation understands the importance of data quality, data governance, and data-driven insights. It effectively leverages data to optimise its operations, improve customer experiences, and achieve its strategic objectives.
To achieve data maturity, organisations need people with a blend of technical, data and human skills competencies. Until this, the data skills gap poses a significant threat to organisations that can hinder growth and success. The three most significant threats to an organisation with data skills gaps are missed opportunities for innovation and business growth (28%), being perceived as outdated (26%), and cybersecurity, privacy, and compliance risks (25%).
The inability to capitalise on new ideas and emerging markets can leave organisations lagging behind their competitors and struggling to maintain relevance in an ever-evolving digital landscape. At the same time, the perception of being outdated can impact recruitment efforts to attract top talent, retain customers, and stay ahead of the competition. Cybersecurity, privacy, and compliance risks are also significant threats; as cyber threats become increasingly sophisticated, a lack of skilled professionals equipped to handle these challenges can leave organisations vulnerable to data breaches, financial losses, and reputational damage.
The most common factors contributing to digital transformation failure include a lack of data and technical skills (27%), inadequate resources (27%), and lack of time (24%). While the factors hindering the success of new data initiatives included:
- Poor training and development (29%)
- Poor communication (27%)
- Rushing changes into the organisation (26%)
- Inadequate resources and time (25%)
- Lack of data literacy skills (25%)
- Poor people management (22%)
Strong leadership and management skills are crucial for achieving data maturity as an organisation, as leaders need to understand the value of data and use it to make informed decisions. Line managers also need to be able to communicate the importance of data-driven decision-making and provide the necessary resources and support to make this possible for all employees.
Along with leadership and management skills, having a clear data strategy is essential for achieving data maturity. This involves defining goals and objectives for using data, identifying the data sources needed to achieve these goals, and developing processes for collecting, storing, and analysing data. Establishing data governance policies to ensure data is accurate, secure, and ethical is essential.
A data-mature organisation has developed the necessary skills, processes, and infrastructure to maximise the value and potential of data throughout its operations. It has successfully developed the required skills, established efficient processes, and implemented robust infrastructure to maximise the value and potential of data across all aspects of its business. A data mature organisation understands the importance of data quality, data governance, and data-driven insights and effectively leverages data to optimise its operations, improve customer experiences, and achieve its strategic objectives. To achieve data maturity, organisations need people with a blend of technical, data and human skills competencies. Until this, the data skills gap poses a significant threat to organisations that can hinder growth and success. The three most significant threats to an organisation with data skills gaps are missed opportunities for innovation and business growth (28%), being perceived as outdated (26%), and cybersecurity, privacy, and compliance risks (25%).
The inability to capitalise on new ideas and markets can leave companies lagging behind their competitors and struggling to maintain relevance in an ever-evolving digital landscape. At the same time, the perception of being outdated can impact recruitment efforts to attract top talent, retain customers, and stay ahead of the competition. Cybersecurity, privacy, and compliance risks are also significant threats; as cyber threats become increasingly sophisticated, a lack of skilled professionals equipped to handle these challenges can leave organisations vulnerable to data breaches, financial losses, and reputational damage.
The most common factors contributing to digital transformation failure include a lack of data and technical skills (27%), inadequate resources (27%), and lack of time (24%). While the factors hindering the success of new data initiatives included poor training and development (29%), poor communication (27%), rushing changes into the organisation (26%), inadequate resources and time (25%), lack of data literacy skills (25%) and poor people management (22%).
Strong leadership and management skills are crucial for achieving data maturity as an organisation, as leaders need to understand the value of data and use it to make informed decisions. Line managers also need to be able to communicate the importance of data-driven decision-making and provide the necessary resources and support to make this possible for all employees.
Along with leadership and management skills, having a clear data strategy is essential for achieving data maturity. This involves defining goals and objectives for using data, identifying the data sources needed to achieve these goals, and developing processes for collecting, storing, and analysing data. Establishing data governance policies to ensure data is accurate, secure, and ethical is essential.