Governance Success Depends on Change Management, Not Tools
Most data governance programs do not fail because of bad technology. They fail because leaders treat governance like a software rollout, when it is really an organizational change effort. In this conversation I explored with Grimme Bogaerts & Martijn Vanhauwaert from Colruyt Group, one line stood out to me: "It's not about the tooling." That mindset is why they scaled to 5,500 users. Here’s what most executives still get wrong, and what actually worked, with insights from @collibra. #CollibraPartner
AI Pressure Drives Yum Brands to Overhaul Data Estate
Even if you don't care about all the AI transformation stuff, it does seem as if this executive urgency is forcing companies to finally fix longstanding pain points. Here, Yum Brands is fixing their data estate so that they can get...
Speed, Not Data Volume, Wins in Insurance Analytics
The insurance industry learned this the hard way. You do not win on data volume. You win on decision velocity. Verisk rebuilt their analytics stack around one goal: how fast does intelligence reach the person who needs it? That is the real benchmark...
Regulated Data Retention Demands Tailored, Not Blanket, Strategies
Data Retention for Regulated Industries: Why it Requires More Than a Blanket Approach https://t.co/nkZ11qbFU6 https://t.co/lfeGymQZsm
Show What Matters Now, Not Everything, in Dashboards
Teams spend months redesigning dashboards. New colors, cleaner charts. Then go live. Users still can't find anything. Nobody watched how they actually worked. "Show everything" is the failure. "Show what matters now" is the redesign. https://t.co/kR7EGpxd4g
Enterprise Context Layer Now Powers Accurate AI Decisions
Your enterprise context layer - data catalog, business rules, process models, security groups, org model - was built for people. Now it's also the foundation AI agents need to make accurate decisions. #AI #DataGovernance https://t.co/iNfGKDSPeN
Legacy Data Complexity Drives Project Failures
Project failure often stems from data complexity and the struggle to clean and map legacy data. Bad data cripples even the best systems, preventing effective business operations. #DataQuality #ProjectManagement https://t.co/nr84MpdrL0
Google Cloud Cuts Cold Starts, Adds Sub‑ms Bigtable Tier
It's apparently "faster performance" Friday at @GoogleCloudTech. With faster node startup for GKE, say goodbye to cold-start latency https://t.co/NU88mzkOPj New Bigtable in-memory tier for sub-millisecond read latency https://t.co/s0GBEMEBQr https://t.co/2JdqpUcLmO
Clone TB‑scale Postgres in Under 6 Seconds
Ardent (@ArdentAI) let's you clone any Postgres DB <6s at TB scale so coding agents can test their code and engineering teams can ship fast without fear of taking down production. It's already being used by dozens of teams like Supermemory...
Knowledge Graphs Create a Semantic Layer for Unified Analytics
Knowledge graphs organize data as nodes and relationships, creating a connected view of business information. When decisions depend on linking customers, assets, and processes across systems, this semantic layer supports analytics and search with context. Microblog @antgrasso https://t.co/Rh9SaUhDYN
Data Migration Overlooked: A Hidden Implementation Pitfall
Vendor scope often omits crucial data migration. Most software plans assume data loading is simple, ignoring the massive effort needed before integration. Don't let this overlooked step derail your system. #DataMigration #SoftwareImplementation https://t.co/W1mOB9wleM
Neglected Data Prep Delays AI and Analytics Projects
Data cleansing, mapping, and validation are critical but often overlooked. These steps are essential for AI and analytics, yet they commonly cause massive project delays. #DataManagement #ProjectDelays https://t.co/TNh6xP37JD
Twitter's Valuable Data Sparks API Cost Tension
This is some sick analytics for X -- nicely done @kevinrose Twitter data has always been insanely valuable... which creates a serious tension between adding value to the platform or 3rd party developers... ... what are these APIs costing KRo?!?
Tableau Shifts From Leader to AI‑driven Re‑assertion
MyPOV: @Tableau in transition as AI forces BI vendors to evolve https://t.co/PkVJNbyrqG @TechTarget @EricAvidon "Tableau hasn't lost relevance, but it has shifted from setting the pace to trying to reassert its role in a market that's moved from being defined...
Latency and Data Partition: Overdue Primary Concerns
MyPOV - This was kind of overdue. Latency and of course data partition are the first questions one has...