AI-powered voice recording, transcription, and analysis tools are revolutionizing how we conduct and follow up on meetings. As graduate faculty for project management curriculum and consultant for data culture initiatives, I’ve started integrating how these tools can help students and project managers
Read MorePart 1: The Perfect Storm: Technology, Economics, and the Birth of Data-Driven Management
In the annals of corporate history, the 1990s stand out as a pivotal decade—a time when the convergence of technological innovation, economic shifts, and evolving management philosophies gave birth to the data-driven organization we know today. This transformative period set the stage for a new era of business practices, one where information became the most valuable currency and data-driven decision-making emerged as the gold standard for corporate leadership.
Read MoreThe ROI Paradox: Why Your Data Initiative Might Be Telling the Wrong Story
In the world of data-driven decision making, we often fall into a trap that I call the “measurement paradox.” It’s a sneaky cognitive bias that leads us to focus on what’s easily measurable, rather than what’s truly important. Let me illustrate with a simple example.
Read MoreThe Deceptive Complexity of Asking "Why" (Part 2/2)
At first glance, asking “why” seems like the simplest thing in the world. It's often one of the first words children learn; we associate it with curiosity and learning. In professional settings, we're often encouraged to “ask why” to get to the root of problems or to uncover deeper insights. But as with many seemingly simple concepts, the act of asking “why” effectively is far more complex than it appears.
Read MoreThe Subtle Art of Cultivating a Beginner's Mind (Part 1/2)
In personal development and innovation management, we often encounter the concept of “Shoshin” or Beginner’s Mind. Originating from Zen Buddhism, this concept encourages us to approach situations with openness, eagerness, and lack of preconceptions, even when studying at an advanced level [1]. It seems straightforward: approach each problem with fresh eyes. However, as I've observed in my research, clients, and grad students, there's a significant gap between understanding this concept and successfully implementing it in real-world scenarios.
Read MoreDigital Transformation in Insurance: Overcoming Legacy Challenges
The insurance industry is experiencing a digital revolution. As customer expectations evolve and new technologies emerge, insurers are under increasing pressure to undergo digital transformation. However, legacy systems and outdated processes present significant hurdles for many companies. This blog post will explore the challenges of digital transformation in insurance, highlighting real-world cases and offering strategies to overcome common obstacles.
Read MoreCybersecurity Strategies for Insurers: Protecting Data in the Digital Age
We’ve become numb to the headlines. Data breaches happen almost daily, making cybersecurity a top priority for insurers. With its vaults of personal and financial data, the insurance industry is a prime target for cybercriminals. This blog post will explore effective cybersecurity strategies for insurers, highlighting real-world cases and spotlighting new technologies reshaping the cybersecurity landscape.
Read MoreBuilding a Data-Literate Insurance Workforce: Strategies for CDOs
Data literacy has become a critical skill for insurance professionals at all levels. As Chief Data Officers (CDOs) in the insurance industry, one of the most crucial challenges is fostering a data-literate workforce capable of leveraging data for better decision-making and innovation. This blog post explores strategies for CDOs to build and maintain a data-literate insurance workforce, highlighting real-world examples and addressing common challenges.
Read MoreCultivating a Data Ecosystem: A Fresh Approach to Organizational Data Management
Many organizations have recognized the need to enhance their data management capabilities. The traditional response has been to centralize these efforts, often by appointing a Chief Data Officer (CDO). However, this well-intentioned approach often leads to challenges and resistance within the organization.
Read MoreBusiness and Technology Strategy Must Learn to Harmonize
The buzz around data and artificial intelligence (AI) often overshadows a fundamental truth: the core of any successful endeavor remains distinctly human. As businesses navigate the complexities of the digital age, the importance of human insight, empathy, and value-driven strategies becomes increasingly evident.
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