Strategies for success in the data transformation journey
A data transformation journey requires a well-defined strategy and vision. Begin with an in-depth assessment of the organization’s data maturity and based on the outcome, develop a comprehensive data and AI roadmap. This roadmap should incorporate strategic imperatives, identified use cases and short – and long-term priorities. Also ensure a strong collaboration between IT and business.
The “Start Small, Think Big” approach is the best way to accelerate the transformation. By creating successful pilots based on real life use cases, managerial and user trust can be quickly gained by showing how the new strategy has a positive impact on everybody’s work.
Following incubation, build and deploy the data and AI platform department by department, delivering relevant services and benefits regarding operational costs, project budgets and productivity. Establish data governance and do not forget to initiate change management to inform and convince the user community of the new ways of working.
Once the new data foundation is set, continue monitoring, supporting and adapting the platform, to keep it relevant in the face of changing needs and technology.
For data modernization to happen, organizations must move away from their conservative mindset. In the world of artificial intelligence and ChatGPT, to stay relevant, it is important to react quickly to fast-changing circumstances.
Overcoming obstacles in the data labyrinth
However, this straightforward-looking journey is laced with formidable obstacles. The foremost barrier is securing resources, as acquiring tools and expertise requires financial backing. A strong business sponsor is crucial for success, emphasizing that an IT-led initiative raises the risk of failure.
The second challenge is changing organizational culture. People resist change, fearing job loss or becoming irrelevant. Including change management in both short and long-term planning is essential. Additionally, prioritize data governance to manage data quality, availability and metadata.
Choosing the right tools for an efficient data architecture adds another layer of complexity. The variety of options – from extraction tools to data storage methods and visualisation tools – requires careful consideration. Seeking the help of a neutral third party becomes crucial to navigate the maze of possibilities.
Unlocking a data-powered future
In summary, the path through the data labyrinth is fraught with traps: lack of sponsorship, insufficient resources, absence of a long-term vision, user opposition, governance issues and the complexity of tools. So, before embarking on a data journey, take time to assess the current situation, formulate a strategy, and recognize the company-wide effort required.
Collaboration between IT and business is paramount, and seeking external expertise can provide valuable insights. The journey may be challenging, but with careful planning and support, organizations can unlock the benefits of a data-powered future.
This promotional article was written by Sogeti Luxembourg as part of the company’s membership with the Paperjam+Delano Business Club. If you wish to become a member of the Club, contact us at .