In this article, the focus lies on championing data as an independent academic field.
The Federal Railroad Administration (FRA), under the leadership of Chief Data Officer Neeraj Koul, is making strides towards a data-centric future. Koul is emphasising the importance of a common data architecture and embedding best practices into system development.
Koul is not only focusing on technological advancements but also on preparing the workforce. He believes that end users and decision-makers must be equipped to effectively engage with data. To this end, FRA has implemented various training initiatives, including basic tool training, AI awareness sessions, and data literacy training.
One of Koul's key initiatives is the development of a financial dashboard. This tool allows the CFO to access and utilise data more effectively in decision-making, providing a practical example of how data can streamline operations.
Koul is advocating for the establishment of the Office of Research, Data, and Innovation at FRA as a central hub for data practitioners. He stresses that data leaders must be involved in system design from the outset to avoid silos and inconsistencies.
Koul also emphasises the importance of identifying and solving real problems for internal customers and embedding data-driven solutions into their workflow. He believes that data should not just be accessible, but also useful.
In his role, Koul sees the CDO as an evangelist, making a case for data as a separate discipline within the organisation. He outlines key actions for federal CDOs, including being innovative and proactive in solving pain points, developing a larger strategy for data use that aligns with mission objectives, and embedding data solutions into decision-making processes.
Streamlining data access and ensuring the right tools are available to users is another crucial aspect of Koul's strategy. He highlights the use of tools such as GIS tools, Power BI, and Tableau.
In summary, Koul's four essential takeaways for federal data leaders are: be an evangelist for data, show value and solve real problems, streamline access and implement the right tools, and build a data-ready workforce. These principles are shaping the Federal Railroad Administration into a data-driven organisation, setting an example for other federal agencies to follow.
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