From Technical to Business Data Strategy with Aaron Wilkerson from Carhartt
Aug 24, 2023
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Aaron Wilkerson, a data leader with a technical data strategy, discusses the importance of aligning data strategy with business strategy, the significance of buy-in, exploring the transformational potential of AI in business, and defining ownership and accountability for a Chief Data Officer.
Aligning data strategy with business objectives is crucial for data leaders to be successful and have a seat at the table.
Chief Data Officers (CDOs) need to focus on business acumen and aligning data initiatives with strategic goals to be effective in their role.
Implementing AI should be driven by specific business objectives and aligning the organization's architecture and processes.
Deep dives
The Importance of Aligning Data Strategy with Business Objectives
In this podcast episode, the guest highlights the significance of aligning data strategy with business objectives. The speaker shares a past experience where a technical data strategy was implemented without considering its impact on the business. The guest emphasizes the need for data leaders to understand the language of the business and communicate in terms of revenue growth, cost reduction, and risk mitigation. They suggest that data teams should focus on marketing and selling the value they provide to stakeholders, using the same language and metrics that the business uses. By doing so, they can become trusted partners, have a seat at the table, and contribute to important discussions and decisions.
The Challenges of the CDO Role and the Importance of Business Acumen
The podcast discusses the challenges faced by Chief Data Officers (CDOs) and questions whether organizations have the right people in these roles. The conversation explores the issue of CDO turnover and the potential lack of qualified candidates for the position. It is suggested that while technical expertise is valuable, what matters most for a CDO is business acumen and the ability to tie data initiatives to business outcomes. CDOs need to understand the language of the C-suite, speak in terms of revenue growth, operational excellence, and improving products and customer experiences. The podcast advises CDOs to focus on selling and marketing the value of data initiatives to stakeholders, aligning with the business's strategic goals. It also discusses the potential benefits of bringing in business-oriented CDOs, who can be supported by technical experts.
The Role of AI in Business and the Importance of Use Cases
The podcast briefly mentions AI, highlighting the importance of identifying meaningful use cases for its implementation. It emphasizes that AI should be driven by specific business objectives and not just applied for the sake of it. The speaker compares how different companies, such as Uber and SAP, approach AI, with some emphasizing it less frequently in their earnings reports. The discussion raises the point that successful AI implementation requires aligning the business architecture and processes, which may involve re-architecting the way the business functions. Overall, the podcast underlines the need for thoughtful consideration of use cases and alignment with business objectives when integrating AI into an organization.
The importance of tying data strategy to business outcomes
The podcast episode emphasizes the significance of aligning data strategy with business goals and outcomes. It highlights the need for data teams to communicate how their tech investments will impact top-line growth, bottom-line growth, and risk mitigation. The discussion emphasizes the importance of speaking the language of the business and tying data initiatives to corporate initiatives and goals. It also stresses the importance of engaging with stakeholders, selling the value of data initiatives, and demonstrating how data can contribute to solving real business problems.
Earning a seat at the table and building a business data strategy
The podcast examines the concept of earning a seat at the table by providing value and being seen as a strategic partner. It discusses the difference between tactical and strategic discussions, where tactical discussions focus on known solutions and requirements, while strategic discussions involve identifying unknown challenges and working together to find solutions. The episode emphasizes the importance of understanding the corporate initiatives and strategy, and aligning the data strategy to them. It also highlights the need for data teams to demonstrate their relevance and effectiveness by solving problems that resonate with leaders and stakeholders, rather than focusing solely on technical aspects. By doing so, data teams can build a business data strategy that aligns with the organization's goals and objectives.
Are you a data leader with a technical data strategy and struggling to connect it with the business? Are you trying to get a “seat at the table” and not succeeding? This episode is for you! Aaron Wilkerson will share his thoughts and learnings with Tim and Juan
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