The Importance Of Data Literacy For PM Professionals To Drive Organizational Success
By Marcus Glowasz
In today’s data-driven world, data literacy has become a key skill in organizations. With the increasing volume of data being generated by businesses, being able to understand and analyze data is becoming essential for decision-making, problem-solving, and identifying opportunities for growth and improvement. Data literacy skills are particularly important for project management professionals as organizational progress and success depends on driving and implementing change through projects.
However, despite digital transformation in organizations and their initiatives to become data-driven entities, the project management space which relies on fast, accurate, and informed decisions hasn’t caught up yet and is rather lagging behind the adoption of data-driven practices.
In this presentation, Marcus Glowasz will explore the reasons for this gap although there is a strong appetite in the project management community to improve its practices with data-driven insights. Based on this, a tailored approach to data literacy for project managers is proposed, to unlock data capabilities and ensure its contribution to organizational success.
About the Speaker
Marcus Glowasz is a project management specialist, coach, and advisor based in Zurich, Switzerland. With almost 30 years of experience in technology and data-driven projects across numerous organizations, from large corporations to small businesses around the globe, he is well-versed in project best practices, including strategies for innovating and advancing project delivery practices.
He specializes in transforming project organizations through the use of data and analytics, helping leaders and teams shift their project delivery practices to future-proofed, evidence-based, and data-informed practices that align with today’s rapidly changing business environment.
He is the author of the book Leading Projects with Data, which provides invaluable insights on overcoming cultural and behavioral barriers to achieving success in data-driven and evidence-based project delivery.
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