Tiankai Feng, Head of Data Strategy & Governance at Thoughtworks and author of "Humanizing Data Strategy," teams up with Asmaa Hechenberger, a Data Engineering Lead at WWK Lebensversicherung. They delve into the critical elements of a successful data strategy, emphasizing the five Cs: competence, collaboration, communication, creativity, and conscience. The conversation highlights the importance of teamwork, addressing organizational pain points, and fostering communities to bridge the gap between business and tech. Personal connections and understanding cultural dynamics are essential for effective collaboration.
Effective data strategies rely heavily on collaboration among diverse roles, emphasizing teamwork similar to that of a football team.
Addressing existing pain points within organizations not only builds trust but also establishes credibility for future data initiatives.
Deep dives
Foundations of a Strong Data Strategy
A robust data strategy is built on the human side of data, emphasizing the need for collaboration among diverse team members. This collaboration is crucial as data teams must work together with stakeholders from various domains, including data scientists, engineers, and business leaders. The interplay between these roles is likened to a football team, where each member has a specific role and must cooperate to achieve a common goal. Without teamwork and clear communication, data initiatives are likely to falter, which underscores the importance of a collective effort in driving successful data outcomes.
The Importance of Following the Pain
The principle of 'following the pain' highlights the necessity of addressing existing pain points within an organization to demonstrate the value of data initiatives. By identifying and solving pressing data-related problems for stakeholders, teams can establish credibility and gain trust, fostering stronger relationships. This approach not only results in tangible benefits for the organization but also promotes positive word-of-mouth advocacy for the data team. When stakeholders see their issues resolved effectively, they are more likely to engage with the data team on future projects, creating a cycle of collaboration and success.
Building Communities for Data Collaboration
Establishing communities around data roles can significantly enhance collaboration and problem-solving within organizations. These communities enable individuals with shared interests to come together, exchange experiences, and collectively tackle data challenges. By facilitating open discussions and regular meetings, team members can build trust and develop a sense of belonging, which empowers them to collaborate more effectively. Ultimately, a strong community fosters an environment where individuals feel supported and encouraged to share ideas, leading to innovative data solutions and better overall outcomes.
We’re hearing more about the significance of data than ever before, but what’s actually involved in leading a successful data strategy initiative? In the first episode of our Humanizing Data Strategy series, we discuss how you can build the foundations of a strong data strategy in your own organization. If you’re a data leader looking to bolster your data strategy for the future, this podcast is for you.