#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
March 17, 2026 at 1:29 PM
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
Checklist: Evaluating Data Engineering Companies for Security, Scalability, and Support
Data engineering services are key to the support of the companies having huge amounts of data, but picking the correct vendor requires a…
medium.com
December 17, 2025 at 10:35 AM
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.
https://www.boldreports.com/blog/real-time-reporting-benefits-use-cases/

#SaaS #RealTime #Analytics #DataTeams
What is Real-Time Reporting? Benefits & Uses | Bold Reports
Discover the power of real-time Reporting to gain instant insights, monitor performance, and make smarter decisions with live, actionable data.
www.boldreports.com
March 19, 2026 at 1:30 PM
If "the business" regards your department/team/operation as a "cost center" ( #DataTeams ) 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!
January 4, 2025 at 5:44 PM
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
February 24, 2026 at 2:56 AM
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
February 10, 2026 at 2:56 AM
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
"Data Engineers Don't Know WHY They're Building" | Roger Magoulas
Roger Magoulas helped popularize "big data." He co-chaired the O'Reilly Strata Conference and worked with DJ Patil to frame what data science could become. He's been building data teams since the…
youtu.be
February 7, 2026 at 5:21 PM
DatumDecoded my #linkedin newsletter is also available on Medium - DatumDecoded: Building the right data team for your Organization medium.com/@angelttodor... #datateams #dataengineering #datanerd
Medium
medium.com
April 13, 2025 at 5:59 PM
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
March 24, 2026 at 1:29 PM
#deltalake integration into #mlflow. #dataaisummit #datateams
November 4, 2024 at 6:33 AM
Nice write up about building a data team at a mid-stage startup: a short story by @fulhack https://erikbern.com/2021/07/07/the-data-team-a-short-story.html
#dataengineering #datawarehouse #businessinelligence #analytics #datateams #datadriven
Building a data team at a mid-stage startup: a short story
You are brought into a startup to run their three-person data team. This is a story about teams and organization, and how you spend a year getting the team to a good place.
erikbern.com
November 4, 2024 at 6:05 AM
"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
Beyond Business Intelligence: The Insights Supply Chain as a Better Framework for Data Teams
The Data Analytics label is central to the Insights Supply Chain with Business Intelligence subsumed by Insights Analytics.
ahan-analytics.drduru.com
August 13, 2025 at 2:39 AM
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
Integrate
Integrate’s cloud-based, easy-to-use, data integration service makes it easy to move, process and transform more data, faster, reducing preparation time so businesses can unlock insights quickly.
opsmtrs.com
June 17, 2025 at 2:41 AM
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
Integrate
Integrate’s cloud-based, easy-to-use, data integration service makes it easy to move, process and transform more data, faster, reducing preparation time so businesses can unlock insights quickly.
opsmtrs.com
June 13, 2025 at 4:35 PM
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…
Testing Like We Mean It: Bringing Software‑Grade Discipline to Data Engineering
I like to say that the first product of a data team isn’t a table or a dashboard—it’s trust. Trust is built the same way in data as it is in software: through tests that catch regressions, encode intent, and make change safe. If pipelines are code, then they deserve the same rigor as code. That means unit tests you can run in seconds, integration tests that respect the messy edges of reality, comprehensive tests that exercise the platform end‑to‑end, and user acceptance testing that proves the system answers the questions people actually have.
edudatasci.net
October 20, 2025 at 2:05 PM
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
February 6, 2025 at 9:46 PM
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
July 23, 2025 at 3:46 PM