Kerry Brown, Transformation Evangelist at Celonis, is a strategist and thought leader who helps companies achieve organizational excellence. Read Kerry Brown's full executive profile here.
We’re in the midst of a significant transformation—in both business and life—that hasn’t happened since the turn of the century. Artificial intelligence is undoubtedly one of the core drivers of this accelerated change.
In business, data accessibility has fundamentally changed how companies operate. However, being"data-driven" is no longer an aspiration; it’s a competitive necessity. What I like to say is,"facts are friendly." Specifically, the visibility of data, coupled with powerful IT tools, has introduced leaders to unprecedented intentionality in their business’s processes and overarching strategy—placing them firmly in the driver’s seat and empowering them to be more proactive. Over time, this will continue to separate the winners from the rest as the consumption and application of data and AI continues to gather speed.of total global commerce runs through SAP. With the looming 2027 deadline for SAP support, this carries significant implications for the marketplace. Pressures and performance expectations are mounting, and the urgency to accelerate migrations is increasing.earlier this year underscored how integration projects will be a priority, and understanding processes in those efforts will be instrumental to their success. In an era where change and transformation have become constant, leveraging data and AI in these programs is the business imperative of the year.Trump Campaign Files Complaint Over Harris Receiving Over $90 Million In Biden Funds To understand the magnitude of just how valuable data is to today’s organizations, look no further than the research being published daily.to its scope, as well as discovering and validating GenAI opportunities. This expanded definition brings insights squarely to the strategic stage and builds the business case for AI. While AI is undoubtedly the current trend to pursue, its monetization can be elusive.cited the market size of global data mining tools to nearly triple in the next decade. For process mining specifically, the demand is even more significant, with the global market projected to grow from $2.46 billion in 2024 to $46.39 billion by 2032.Businesses don’t just need more data. They need usable data that can be distilled and leveraged across data and AI ecosystems in order to understand how to do more with it, make meaningful decisions and take action. Here are a few examples of how organizations are being empowered around the world to be more proactive and more thoughtful, and to unlock more value:Proactive data analysis empowers business leaders to identify trends and preemptively spot potential issues. For example, a large global healthcare company has used process mining to aid in streamlining day-to-day operations to unlock working capital, and during the course of one year, increased free cash flow by $1.3 billion.Programs are rapidly multiplying, and organizations are unwilling to relive the past. Shared experiences of time savings pre- and mid-transformation with increased user adoption have resulted in an increase in the inclusion of process mining expectations in proposal requests. By anticipating requirements through data analysis, manual work effort can be reduced.In today's increasingly digital, competitive and ever-changing world, companies that leverage data proactively can gain a significant edge over competitors who remain reactive. I have seen leading global organizations incorporate process mining into their transformation methodologies and delivery to gain a competitive advantage and better service customers. The integration of data and AI into business practices is shifting how organizations operate. Harnessing the power of data allows businesses to optimize better, drive efficiency and equip major programs to stay on scope, on time, on budget and on value—providing a foundation for success. To act without this information is a lost opportunity. Embedding data and AI into everyday practices isn’t just about driving more efficient workforces; it's about staying ahead of the curve to find opportunities to advance and innovate in today’s data-driven economy.
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