Meet David
David is co-founder of Plainsight and has been in data and analytics for well over fifteen years. He's held every role from developer to program manager, and has led data strategy and architecture for organizations like Delhaize, VDAB, Fluvius, and Barco. He completed Vlerick's Advanced Management Programme, which says as much about how he thinks about business as it does about data.
We asked David some thoughtful questions
David, how did you discover your passion for data?
That was quite some time ago! I guess it was around the age of 14. My computer was already a combination of components spread out on my desk. The only thing that connected these components were some cables and the power on/off button. From there, I first learned to program simple things. However, I realized that if you want to store your data, you need... a database! That's where my passion for data started. My future choices all revolved around informatics, data, and economics.
Why did you specifically choose Plainsight?
Easy! The people and the values. Having such a like-minded group of people makes working a fabulous experience. I really get a lot of energy from seeing how people outperform by moving things forward through teamwork.
What is your best work hack?
Snoozing! And I'm not talking about snoozing my alarm clock. I love the snooze functionality on emails. It helps me do the right things at the right time.
Articles by David
How to Deploy and Configure 12 Microsoft Fabric Capacities in a matter of hours
THE CHALLENGE - Deploy 12 Fabric Capacities - Across 4 business Units - With a dev, tst & prd capacity - With a Bronze, Silver, Gold & Control workspace for…
Data StrategyDon't Let Your Data Stack Be a Showroom
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Data StrategyIs Your Business Unhappy with Your Data Products?
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Data EngineeringStruggling with Slow Data Product Delivery? Here's Where to Automate
In today's data-driven economy, the speed at which you deliver data products directly affects your organization's ability to make timely decisions.
Data StrategyBusiness Only Cares About Gold -- And Why You Should Too
Nobody ever asked for a beautifully maintained bronze layer. Go for Gold keeps only the layers that earn their place between raw data and insight.
Data EngineeringHow to Improve Collaboration Between Your Data Tools: From Silos to Synergy
DBT builds the logic, Fabric runs it, Purview tracks it. How to connect transformation, governance, and reporting so every tool shows the same truth.
Power BIHow to Migrate from Tableau to Power BI
A practical guide to moving from Tableau to Power BI: key differences, a six step migration plan, common pitfalls, and how to get adoption right.
Data EngineeringHow Do You Use Azure Synapse and Databricks for Seamless Data Integration?
Synapse for warehousing and SQL analytics, Databricks for Spark and AI. How the two fit together and what to watch out for on cost, security, and performance.
How Can I Use Power BI and Microsoft Fabric to Automate Reporting Across Multiple Data Sources?
Manual reporting means stale numbers and copy-paste errors. How Fabric and Power BI automate the pipeline from source to dashboard, step by step.
Power BIReporting on Exact Online with Power BI
A walkthrough of our Power BI app for Exact Online: the reports you can build on your financial data and how to set up authentication, step by step.
AI StrategyAI-gentification
Electricity gave companies a Chief Electricity Officer. Agentic AI calls for its own leadership role, and the Agentic AI Canvas maps what it must cover.
Power BIReporting on Harvest with Power BI
A walkthrough of our free Harvest Reporting app for Power BI: what it does, the insights you get, and how to authenticate with a personal access token.
Data StrategyFrom Data Products to Roadmap
From a long list of data product ideas to a build order: score business impact against technical feasibility and turn the result into a roadmap.
Data StrategyTranslate Your Data & Analytics Capabilities to Business Outcomes
How business outcomes, data products and the capabilities underneath them fit together: the framework we use to connect data work to strategy.
Data StrategyFrom Insights to Impact: The Ultimate Guide to Landing Your Data Strategy
Our framework for landing a data strategy: the 10,000 feet business view, data products, a ground level roadmap, and outcomes you can measure.
DatabricksDatabricks Data & AI Summit '24: What's to Come?
DataBricks is a fantastic tool that includes all necessary components for a Data Platform; from provisioning an all-purpose data lake, to supporting Data…
Power BIGame, Set, Dash: Track Your Padel Progress
The prevalence of padel is evident not only in the sheer number of competitive matches played throughout the year but also in the motivation to climb the…
DevOpsStreamline Your SQL Deployment Using Azure DevOps and Database Projects
First things first Before lift-off, make sure the following prerequisites are met: - The previous two blog posts in this series were read and the steps were…
Data EngineeringStreamline Data Operations: Integrate Database Projects with Data Factory
First things first In this blog post we are going to show a practical use case of how you should use database projects for SQL together with Azure Data…
DevOpsStreamline Your SQL Development with Database Projects and Git
Turn a SQL database into a database project you can track in Git. A hands-on walkthrough in Azure Data Studio, from bacpac import to your first push.
Microsoft FabricWhat's in Your Fabric: Data Warehouse or Data Engineering?
we get a lot of interesting questions on Microsoft Fabric. One of the recurring topics is which ETL engine to choose? Can we use multiple? And when to use…
Microsoft FabricIgnite's Highlights: Microsoft Fabric in Minutes!
The central emphasis of this year revolved predominantly around artificial intelligence (AI), highlighted by the recent introduction of Microsoft 365…
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