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In this guide, you’ll learn:
- Insights into crucial lapses hindering collaboration between business & data teams
- Tips and best practices for effective collaboration
- Actionable steps that both teams can embrace for business success
In today’s fast-paced world of big data & AI, businesses depend on informed decision-making. But are data teams and business teams effectively aligned?
In this article, data-centric business leader Pat Finan explores six common pitfalls that disrupt the harmony between business and data teams, regardless of the organization’s size. This piece resonates particularly with data professionals & business teams, who likely encounter these challenges in their work.
Finan delves into the evolving role of data specialists, stressing the need for a balanced skill set that goes beyond technical expertise. He emphasizes the critical role of data quality and governance as confidence in data quality directly impacts decision-making confidence. He urges data professionals to focus on ensuring data reliability and quality instead of solely concentrating on analytical skills.
To address the existing disconnect between business and data units, Finan advocates for a collaborative approach. He suggests that fostering stronger partnerships between these teams can bridge the gap, leading to more effective and efficient outcomes.