Users aren’t our audience.
They’re our priority.
If it doesn’t save their time,
it doesn’t matter.
Our roadmap starts with one metric:
“How fast can our users finish their work?”
We don’t measure success in features.
We measure it in hours saved for our users.
#BI #SSRS #DataTeams #Analytics
If your reports tell you what went wrong yesterday,
you’re not reporting.
You’re documenting history.
Real-time = catch issues early, act before revenue drops, decide without waiting.
www.boldreports.com/blog/real-time-reporting...
#SaaS #RealTime #Analytics #DataTeams
Nothing is more permanent
than a temporary report.
And nothing is more dangerous
than deleting it 💀
Somewhere, a hidden dashboard
depends on it.
How many reports are you scared to touch? 👇
#BI #SSRS #DataTeams #Analytics
Scott Breitenother jumped into every Slack thread at Brooklyn Data. It made the company fast and him the bottleneck. His fix: subscribe to replies, don't comment, check back in 3 hours.
#Leadership #DataTeams
A feed broke. Roger Magoulas didn't notice. Tim O'Reilly called it out.
His fix: a weekly "Synced" email confirming data freshness. Then he added insights. Soon it went company-wide.
🎧 Full episode: youtu.be/z3E0Pi4XaLg
#dataengineering #datateams
What percentage of your data team's time goes to pipeline maintenance versus exploratory analysis?
Roger Magoulas argues the ratio determines whether you generate insight or just keep the lights on.
🎧 youtu.be/z3E0Pi4XaLg
#dataengineering #datateams
Choosing the right data engineering partner means balancing security, scalability, and support. This checklist breaks down key criteria to evaluate providers and avoid costly mistakes.
medium.com/@saniawilkin...
#DataEngineering #TechChecklist #Scalability #CyberSecurity #DataTeams #CloudComputing
I've talked before about how trust is the ultimate currency of #DataTeams. One of the key ways we build that trust is to have strong, reliable #Testing protocols as a part four #DataEngineering practice. By passing tests, we not only assure ourselves, but also our customers and stakeholders that…
"Beyond Business Intelligence: The Insights Supply Chain as a Better Framework for Data Teams"
Clarifying roles and structure for data teams.
ahan-analytics.drduru.com/2025/08/12/b...
#BusinessIntelligence #DataAnalytics #InsightsSupplyChain #DataTeams
Happening Tomorrow: THURS, 7/24 at 2pm ET
Is Your Data Ready for AI? 🤔 How to Build a Solid Foundation: www.dbta.com/Webinars/224...
As AI adoption continues to accelerate, the pressure is on #ITLeaders + #datateams to deliver clean, reliable & scalable data pipelines.
#AI #BigData #DataPipeline
The latest update for #Integrateio includes "Data Orchestration vs #ETL - Complete Guide (2025)" and "CSV to Salesforce: A Comprehensive Guide for #DataTeams".
#DataAnalytics #DataPipelines https://opsmtrs.com/3qsMuqZ
The latest update for #Integrateio includes "CSV to Salesforce: A Comprehensive Guide for #DataTeams" and "A Guide to Reliable Files to Salesforce #Integration".
#ETL #DataAnalytics #DataPipelines https://opsmtrs.com/3qsMuqZ
DatumDecoded my #linkedin newsletter is also available on Medium - DatumDecoded: Building the right data team for your Organization medium.com/@angelttodor... #datateams #dataengineering #datanerd
7/ Pro tip: Start every project with a discovery session.
Make it clear that this is your standard process. It signals professionalism and prevents the "quick report" mentality.
#DataTeams
If "the business" regards your department/team/operation as a "cost center" (<cough> #DataTeams </cough>) that's not necessarily a stance against the cost of your operation. In many cases, that's an indication that the business does not understand what you do!
Sort out your business communication!