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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

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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.

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

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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

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Video

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

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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

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"Data Engineers Don't Know WHY They're Building" | Roger Magoulas
"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…

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

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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…

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

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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.

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…

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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.

"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

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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

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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.

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

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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.

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

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Medium

DatumDecoded my #linkedin newsletter is also available on Medium - DatumDecoded: Building the right data team for your Organization medium.com/@angelttodor... #datateams #dataengineering #datanerd

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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

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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!

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