Phoenix Ke Analytics
@phoenixanalyti3
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Empowering Africa’s data talent through mentorship, real-world projects, and AI to drive impactful change across industries. Partner with us 🤝 🇰🇪
Kenya
Joined February 2023
And that's why we're having a masterclass in Nov for anyone struggling with data management. Learn how to build one from scratch👉: https://t.co/9qDX8tUHWr
Many analysts and businesses struggle to manage scattered, inconsistent data. 1. Data everywhere, insights nowhere. 2. Reports take forever. 3. Decisions delayed, opportunities missed. The missing link: A Data Warehouse.
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The AI Agents Summit is buzzing — teams are delivering serious innovation. From supplier negotiation to financial assistants — AI is showing up everywhere for SMEs. If you didn’t pull up,look at you missing out 😌 #PhoenixAnalyticsAIagentsummit
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Before participating in #AIHackathon2025 hosted by @niru_kenya please be sure to read clause 10 of the terms and conditions at https://t.co/T2cXY1xWRz - because you could be giving away your intellectual property!!!
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Damn
A software developer who claimed Safaricom used his ideas to build the M-Pesa Super App has lost a Sh1.1 billion award after the High Court ruled there was no signed contract.
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Your LinkedIn: Passionate about leveraging data-driven insights to optimize business outcomes Your actual job: Explaining why two Excel sheets don't match and no, you can't just make them match Both are valid. One just sounds better at dinner parties and for networking.
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The difference between dashboards, reports, and insights: Dashboards = What's happening NOW (real-time monitoring) Reports = What happened BEFORE (historical records) Insights = What to do NEXT (actionable intelligence) Most teams spend 80% on the first 2, forgeting the 3rd
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We do data trainings for SMEs and corporates. Contact us via email: https://t.co/[email protected]
phoenix.ke
Data training isn’t a cost. It’s an investment that pays itself back. Most companies already have the data they need to grow. They just don’t use it well enough. Every untrained employee costs insights. Every trained one multiplies ROI. Invest in data literacy.
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Data training isn’t a cost. It’s an investment that pays itself back. Most companies already have the data they need to grow. They just don’t use it well enough. Every untrained employee costs insights. Every trained one multiplies ROI. Invest in data literacy.
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Entry-level roles today aren’t as “entry-level” as they sound. Many expect hands-on experience with SQL, Python, BI tools, data modeling, or even cloud platforms and sometimes, skills you usually gain only after working in the field. It sure feels like a trap. You need
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Real question: If your stakeholder doesn't understand your analysis, who failed... you or them?
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Them: Why do i even need a portfolio as a data professional? Us: Because you need to show you can clean messy data, ask good questions, answer the stakeholder's 'but why?' questions, and tell a story someone actually cares about. Your portfolio is the proof you can do the job.
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You ever build a whole ETL pipeline just to realize the data source was updated manually in Excel every Friday by Kevin in Finance? Yeah. That's the job. 🙃
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show me two people with insane beef
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Your first SQL query probably had 5 JOINs when you only needed 2. Your first dashboard had 12 charts when 3 would've told the story better. Growth in data isn't about doing more.. it's about knowing what you need and what to leave out. Happy New Week!
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Another group of builders putting in the work 💻 They came to co-create, share ideas, and bring their AI Agents to life ahead of the AI Agent Showcase Summit. It’s moments like these - collaboration, creativity, and shared purpose, that power real innovation. #AIHackathon
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Light attracts bugs
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10 years from now, your 'coworker' might not be human. It'll be an AI agent named something like 'DataBot_v7' that: Never misses a deadline Never has a bad day Never ghosts the group chat And honestly? You'll probably like it better than Steve from Accounting.
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The best feedback I ever got: Your analysis is correct, but nobody's going to read a 40-slide deck. Now I start with the answer. Then I show the work. Data storytelling is reverse engineering what people actually need.
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Real success? When they trust your analysis before asking for it.
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You've seen the judges. Now meet the one in the trenches with every team - Technical Lead driving our AI Agents Hackathon from concept to deployment. He's not just teaching automation, he's rebuilding how we work. The Showcase Summit is coming.The agents are ready. Are you?
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