#Dataframed

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#Dataframed Reel by @robert.miller0422 - The $50,000 Mistake: Buying Tech Too Early 80% of tech stack waste comes from buying before mapping. Companies rush to purchase software without und
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@robert.miller0422
The $50,000 Mistake: Buying Tech Too Early 80% of tech stack waste comes from buying before mapping. Companies rush to purchase software without understanding how work actually flows through their business. That guarantees misalignment. Features don’t fix broken processes. They amplify them. A disciplined data interview exposes the real sequence of execution. → 𝗪𝗵𝗮𝘁 triggers the workflow → 𝗪𝗵𝗼 owns each step → 𝗪𝗵𝗲𝗿𝗲 data lives → 𝗛𝗼𝘄 decisions move forward When the process is visible, the right technology becomes obvious and usually simpler than expected. Map first. Optimize second. Buy last. #businessautomation #smallbusinesssystems #workflowautomation #businessgrowthtips #businessoperations #digitaltransformation #entrepreneurtips #smallbusinessowner #processimprovement #nocode
#Dataframed Reel by @crawfordmcmillan - A ten-page report. Three numbers that should match. The third decimal point was different. Greg spent three days in a reading room with highlighters g
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@crawfordmcmillan
A ten-page report. Three numbers that should match. The third decimal point was different. Greg spent three days in a reading room with highlighters going crazy. Someone else solved it in 20 minutes with SQL. This is how one broken report launched a data career. Our conversation with fintech veteran turned consultant Greg Hood shares his origin story on the latest episode of The Private Equity Data Guy: https://youtu.be/SwtYATzlowE Here's what we found out in our podcast episode: • Pages three and four pulled from different database tables. Nobody knew until the decimals didn't match. • Three days of manual work. Twenty minutes of SQL. That gap revealed everything wrong with finance workflows. • Most finance teams still operate like Greg did before SQL. They don't know what they don't know about their data layer. How many hours are your teams spending on problems a data expert could solve in minutes? #TransformedWithData #DataCareer #SQL #FinanceData #DataGovernance #PrivateEquity
#Dataframed Reel by @thataigirrl - Are you spending all of your time on @claudeai? Drop your favourite data hacks in the comments below? Real talk, the role of technical folks is evolv
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@thataigirrl
Are you spending all of your time on @claudeai? Drop your favourite data hacks in the comments below? Real talk, the role of technical folks is evolving everyday, what do you think a data analyst’s role will do in 10 years? I think those that can build deep business understanding and the ability to collaborate with and influence very senior leaders on strategy and decisions will be the biggest winners.
#Dataframed Reel by @oliversignorini_ - Credentials tell me you studied. Projects tell me you can think. Every data analyst I respect built their way in - not certified their way in. Domain
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@oliversignorini_
Credentials tell me you studied. Projects tell me you can think. Every data analyst I respect built their way in — not certified their way in. Domain knowledge + curiosity beats a degree every time. Drop a 🔥 if this is your path. #dataanalyst #selftaught #nocsdegree #careerchange #buildinpublic
#Dataframed Reel by @lightsondata - Data Governance 2.0? Start with purpose. What benefit does your data provide? What's the business model? #DataGovernance #DataStrategy #BusinessModel
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@lightsondata
Data Governance 2.0? Start with purpose. What benefit does your data provide? What's the business model? #DataGovernance #DataStrategy #BusinessModel #DataManagement #DataDriven #ReelsOfInstagram
#Dataframed Reel by @dswithdennis (verified account) - Building trust with responsible data handling practices daily
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@dswithdennis
Building trust with responsible data handling practices daily
#Dataframed Reel by @stephanie_leads - It's easy to feel like we're drowning in data- and still not have the information we actually need. A lot of organizations assume data is this magica
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@stephanie_leads
It’s easy to feel like we’re drowning in data- and still not have the information we actually need. A lot of organizations assume data is this magical resource that already exists somewhere, waiting to deliver answers. But most of the time, what we have is data that was passively collected… not data designed to answer the questions leaders are actually asking. That’s why leaders sometimes ask their data teams for answers and hear: we can’t answer that. The solution isn’t more dashboards. It’s slowing down and getting strategic. When leaders take the time to clarify the questions that truly matter- and plan intentionally around what data needs to be collected to answer them- that’s when data becomes genuinely useful. I know this feeling well. Early in my career, I experienced the same overwhelm of trying to make sense of endless reports that didn’t actually help with decisions. That’s why I care so much about helping leaders get clear on how to work with data in ways that actually support their mission and their communities.
#Dataframed Reel by @iiimteaz - Scaling clean rooms takes more than proof points. It takes leadership intent, dedicated owners, and people doing the unglamorous data work every day.
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@iiimteaz
Scaling clean rooms takes more than proof points. It takes leadership intent, dedicated owners, and people doing the unglamorous data work every day. That’s the difference between experimentation and capability.
#Dataframed Reel by @data_qg - 💡 Inherited a project full of "secret rules"? Those tribal hacks can break your data the moment someone's out. Step 1️⃣: Learn the domain and unders
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@data_qg
💡 Inherited a project full of “secret rules”? Those tribal hacks can break your data the moment someone’s out. Step 1️⃣: Learn the domain and understand the rules. Step 2️⃣: Quantify everything—turn guesses into numbers. Step 3️⃣: Automate—build dashboards and systems for consistent, clean data. 🔄 Repeat the cycle until the knowledge becomes permanent. Ready to turn messy processes into reliable, data-driven workflows? 🚀 👉 Learn more at DataQG.com #DataGovernance #DataQuality #DataDriven #DataAnalytics #Automation DataOps FixYourData DataTips DataQG
#Dataframed Reel by @samson_data_ai - Trust me, your dashboard should answer questions, not create them. From my years of experience, it's always best to keep it simple. #dashboard #datas
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@samson_data_ai
Trust me, your dashboard should answer questions, not create them. From my years of experience, it’s always best to keep it simple. #dashboard #datascience #dataanalysis #data #techtips
#Dataframed Reel by @oliversignorini_ - Your data team doesn't need more tools. They need fewer. Every new one is another integration point. Another login. Another format to translate. Anot
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@oliversignorini_
Your data team doesn’t need more tools. They need fewer. Every new one is another integration point. Another login. Another format to translate. Another thing that breaks at 2am. I’ve seen teams keep trialling “one more platform” and it always adds complexity before it adds value. When the stack gets wide, your pipeline gets fragile. Go deep. Not wide. How many tools is your data stack running? 👇 #data #systemsthinking #dataengineering #buildinpublic
#Dataframed Reel by @data_analytics_simplified - This is what leveling up looks like in real time 💻✨ Behind every confident data analyst is time spent learning, practicing, and showing up even when
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@data_analytics_simplified
This is what leveling up looks like in real time 💻✨ Behind every confident data analyst is time spent learning, practicing, and showing up even when it’s challenging. In our live SQL sessions, we’re not just teaching queries we’re building real skills that open doors to higher-paying, data-driven roles. 📊🔥 If you’ve been thinking about transitioning into data, this is your sign to stop watching and start doing. Your future doesn’t change until you do. Ready to get started? Join Data Analytics Simplified today, link in bio! . . #DataAnalytics #LearnSQL #TechCareers #Upskill #CareerChange

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