Every data request comes in three versions: what the user thinks they need, what they say they need, and what they actually need.
They think they need a dashboard, because that is what data has…
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Demand sensing vs demand forecasting in CPG: how the two differ in horizon, data and decisions, and where demand planning and AI fit in.
Even mature pharmaceutical organizations often make data procurement and renewal decisions without enough evidence.
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AI Performance Paradox: why the true measure of AI’s value is an organization’s ability to adapt
AI improves individual tasks but rarely company-wide results. See why CIOs should add adaptability to cost metrics and which five KPIs help measure it.
Snowflake DMFs, dbt tests, and observability platforms solve different problems. Compare lifecycle, failure handling, CI/CD fit, and cost before choosing a layer.
Out of respect for my readers’ time, let me say it right away: no, the era of AGI (Artificial General Intelligence) has not arrived yet. The current progress of LLMs (such as GPT-6 or Fable-5.1) is…
For as long as I’ve worked with animal health organizations, I’ve heard the same comparison repeated: “Animal health is five to ten years behind human pharma.”
Every company today is on a digital transformation journey, whether it’s formal or informal. Some are just leaving the base camp, others are halfway up the trail, and a few are already approaching…
Gaining visibility over manufacturing processes is not as easy, and requires connecting several systems. A dashboard requires data from the historian. A reporting tool needs information from the MES….
Article
Internal Developer Platforms for data teams: Closing the gap between infrastructure and delivery
Ask an engineer how long it takes to stand up a new sandbox, and you get two numbers that do not agree. The hands-on part, creating the repository, wiring the pipeline, requesting access, could run…
Organizations have never invested more in data than they do today. The global big data market is currently estimated around $320-450 billion and is expected to double by 2030.
The right architecture in organisation depends on data maturity, workload mix, and governance readiness. Data warehouses deliver reliable analytics on structured data. Data lakes handle volume and…
In Animal Health, accurate reports still produce late decisions. See how Decision Intelligence closes the gap between a signal and the person who acts on it.In Animal Health, accurate reports still…
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Azure to Azure Platform Migration Part 1: Why the Timeline Starts Slipping Before the Code Changes
In this series I want to challenge a myth I keep running into: that migrating data and analytics solutions from one Azure environment to another is always a simple lift-and-shift exercise, because…
The right architecture in organisation depends on data maturity, workload mix, and governance readiness. Data warehouses deliver reliable analytics on structured data. Data lakes handle volume and…
The pharmaceutical industry has always run on long timelines and high stakes. Bringing a single drug to market takes an average of ten years and 2.6 billion dollars, and the failure rate remains…
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