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Speakers

  • Mai AlOwaish Headshot

    Mai AlOwaish

    Chief Data & Innovation Officer at the Gulf Bank of Kuwait

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Radar—Building Data Champions at Gulf Bank

August 2022
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In this session, Chief Data Officer of Gulf Bank Mai AlOwaish, will outline the ins and outs of the Data Ambassador Program at Gulf Bank.

She discusses how an upskilling program in analytics enabled internal data talent flows within the bank. Throughout the session, she discusses best practices for creating supportive structures for a data upskilling program, a deep dive into the learning curriculums used in the Data Ambassador program, and outcomes from the program.

Key Takeaways:

  • A deep dive into the Data Ambassador Program at Gulf Bank, and how it created internal data talent flows

  • Best practices for creating supportive structures for a data upskilling program

  • A deep dive into the learning curriculums used in the data ambassador program

  • Outcomes from the Data Ambassador Program at Gulf Bank


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Summary

Creating a data-driven organization is not just about employing data scientists; it involves developing data champions across the company. These champions, who are industry professionals instead of data scientists, play a significant role in establishing a culture where data literacy and self-service analytics are commonplace. A supportive setup, involving a network of data envoys across departments, is required to achieve this. At Gulf Bank, for instance, data champions known as "data ambassadors" have been incorporated across various departments to ensure that data-driven decision-making is part of the organizational culture. This approach involves a structured learning curriculum to boost data acumen and to confirm that everyone understands the importance of data quality. The webinar also spotlighted the significance of branding and incentives for data champions to motivate and acknowledge their contributions. The necessity of data literacy programs was stressed as a means to ensure everyone in the organization can contribute to data quality, recognizing data as a cooperative effort. The diffusion of innovation theory was discussed as a framework to help new data programs become an important part of the organization.

Key Takeaways:

  • Data champions are vital for establishing data culture across an organization.
  • A supportive setup with data envoys assists departments self-serve their data needs.
  • Data literacy programs are essential for ensuring high data quality and widespread understanding.
  • Branding and incentives motivate data champions and acknowledge their role.
  • The diffusion of innovation theory helps implement and maintain data initiatives across organizations.

Deep Dives

The Role of Data Champions

Data champions play a vita ...
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l role in transforming an organization into a data-driven entity. Unlike traditional data scientists, data champions are industry professionals who understand their domain deeply and can utilize data to make informed decisions. By incorporating these champions across various departments, organizations can ensure that data-driven decision-making becomes part of the company's DNA. As explained during the webinar, "The way they view data is different, and when we think which one of those teams is data-driven, this team, which is actually able to research and look into the data and really experiment and look at things in real time." This shows the importance of having knowledgeable individuals who can interpret and act on data insights promptly.

Building a Supportive Structure

Developing a supportive setup is vital for establishing a data culture. This involves creating a network of data envoys who act as embedded data experts within departments. These envoys are not new hires but are upskilled industry professionals who can act as connections with the central data office. This approach allows departments to have the autonomy to analyze their data while having the support of the data office for complex needs. "The data office should build those network of data champions, kind of the embedded data experts in departments," emphasizes how organizations should structure their teams to be more data-driven.

Importance of Data Literacy

Data literacy is a vital component of a successful data-driven organization. It ensures that everyone, from data entry personnel to senior management, understands the importance of data quality and how their roles affect the overall data setup. Training programs customized to different roles help in building this literacy. "We need to also think about the organization data literacy overall, to make that data champion network supported across," highlights the necessity of broad-based data literacy initiatives that support the work of data champions and ensure consistent data quality.

Branding and Incentives for Data Champions

To encourage and sustain the efforts of data champions, organizations need to invest in branding and incentives. Recognizing the efforts of these individuals through titles, rewards, and recognition programs helps maintain their motivation and highlights their value to the organization. At Gulf Bank, data ambassadors received digital books and participated in graduation ceremonies to acknowledge their efforts, which helped in branding the program effectively. "We should also give them an incentive to and be recognized and have that additional title of a champion," highlights the importance of these recognition strategies.


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