Edosa Odaro, Chief of Data Analytics and Privacy Officer at Tawuniya, discusses the concept of Value Driven Data and the challenges of digital transformations. He emphasizes the importance of aligning organizational objectives, finding the balance between speed and sustainability in business processes, embracing frustration and failure, and connecting silos for transformation.
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Quick takeaways
Data Vision in data analytics focuses on aligning data with organization goals, avoiding misalignment pitfalls.
Creating a shared high-level vision within the organization is essential to navigate digital transformation challenges.
Deep dives
Data Vision: A Unique Approach to Data Governance and Management
Data Vision in data analytics is about starting with the ultimate goal or vision of the organization and then working backward to determine the data needed to achieve that vision. It focuses on the alignment of data with the organization's objectives, rather than just collecting more data. By taking this approach, organizations can avoid the pitfalls of misalignment and ensure that their data efforts are in line with their overall vision and goals.
Overcoming Challenges in Digital Transformation
Digital transformation can present challenges that hinder progress if not addressed properly. One critical aspect is getting alignment within the organization on the vision and objectives. It is essential to create a shared high-level vision that the entire organization can stand behind and work towards. This involves recognizing and addressing misalignments that may exist between different departments or functions. By focusing on multiple perspectives and consolidating those ideas into a unified vision, organizations can overcome challenges and successfully navigate the digital transformation journey.
Tradeoffs Between Speed and Sustainability in Digital Transformation
When pursuing digital transformation, there is often a tradeoff between speed and sustainability. While it is important to achieve faster processes and decision-making, organizations must consider the potential risks and impacts of rapid changes. By carefully evaluating the desired outcomes and the potential bottlenecks that may arise, leaders can find the right balance between speed and sustainability. For instance, in the insurance industry, speeding up claims processing is crucial, but it needs to be done in a way that does not compromise accuracy or introduce new risks. Striking the right balance is key to ensuring a successful digital transformation journey.
Today’s guest is Edosa Odaro, Chief of Data Analytics and Privacy Officer at Tawuniya and former Chief Data Officer at AIG. He is also the author of two books on overcoming data challenges, ‘Making Data Work’ and his latest, ‘Value Driven Data’ from the Taylor & Francis Group. Edosa returns to the podcast to talk about his written work and how organizations can overcome the inevitable growing pains of digital transformations. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.
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