Category: Business Intelligence
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Stop Chasing Data, Start Fixing Processes
In my experience, everything in master data starts and ends with processes. Yet, so often I see organizations focusing on data quality as if it exists in isolation, running audits, building dashboards, and defining rules while the processes that generate and use that data remain flawed or misunderstood. Data does not create value on its…
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Canonical Model: Adding Ontologies and Taxonomies, and arriving at Foundation for AI
Most organizations chase AI capabilities before their data is ready for it. But AI can only reason effectively when the data it consumes is structured, harmonized, and meaningful.This article explores how combining canonical models and ontologies creates that foundation, transforming disconnected data into a unified knowledge layer that AI can truly understand and act upon.…
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Canonical Model vs Ontology
Over time, I have noticed a growing confusion between Canonical Models and Ontologies. Many people see them as interchangeable, or at least overlapping, because both aim to establish a shared understanding of data across systems and teams. That confusion is understandable. Both disciplines speak about “common meaning,” “shared vocabulary,” and “data relationships.” Yet their intentions…
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The Cost of Silence
Have you ever participated as a member of a team, gathered in a room, brainstorming for an important business strategy. There’s a lot of silence. Ideas are thrown out, but no one really feels strongly about them. Yet, when it’s time to make a decision, the group agrees on something that no one actually wants.…
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SAP Databricks and data fabric for operational system support.
I was excited to learn that the recent collaboration between SAP and Databricks has led to the introduction of SAP Databricks, a solution that seamlessly integrates Databricks’ Data Intelligence Platform within the SAP Business Data Cloud. I do see this integration as being pivotal in enhancing operational systems by providing a unified data fabric that…
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Master Data – Applying, and change to Processes
Applying change to a master data process is similar to applying changes to any other process but with nuances unique to the nature of master data. The fundamental principles of process change communication, stakeholder buy-in, planning, and continuous improvement apply just as strongly. However, master data processes intersect with multiple systems, departments, and business activities,…
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Data Governance: A Business Imperative, Not an IT Burden
Getting the business to engage and take ownership in building data governance can be a significant challenge. I favor an pragmatic and effective way to tie data governance to tangible, day-to-day business challenges. Data Governance as an Critical Enabler Getting the business to engage and take ownership in building data governance can be a significant…
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Building high-performance teams, successful product owner
A bad product owner can sink a product faster than any poor tech decision, dragging down morale along the way. Often, it is not possible to distinguish a good product owner from a less competent product owner by their resume; successful product owners understand the needs of their stakeholders, customers, and teams. That awareness is…
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Building high-performance teams, retention issues as an effect of stagnation
It is possible that the main takeaway from this blog post could have been, “To combat retention issues caused by stagnation, focus on continuous learning, challenging projects, regular feedback, clear career paths, fostering a supportive culture, and promoting work-life balance.” Multifaceted Development PlansHowever, this isn’t as straightforward as it seems for a variety of reasons.…
