Hustler bir Junior Full Stack Developer arayışımız var. Next.js, Supabase, Vercel, Shadcn bilmek çok önemli. Bizimle birlikte yoğun çalışacak, çok güzel işler çıkaracak bir arkadaş arıyoruz. Dünya'nın her yerinden çalışabilirsiniz ancak time-zone uyumu önemli. Genelde AI.

Ready to grow smarter? A Data Maturity Plan isn’t a luxury—it’s your competitive edge.✨ . Start now, build a strategy that scales, and turn data into real, reliable growth fuel.

Track progress & align with growth. - Key metrics like data accuracy, reporting speed, and customer retention are your guides. - Set quarterly reviews to keep data maturity moving in sync with your business goals. 📈.

Make data a company-wide habit. - Leaders: Lead by example with data-driven decisions. - Teams: Invest in data literacy so everyone reads data, not just analysts. 📊.

Start with the right tools, not quick fixes. - Cloud platforms like Snowflake or BigQuery grow with you, no constant upgrades needed. - User-friendly analytics like Power BI mean your team doesn’t need a PhD to pull insights. 🎓.

💥 “Data-Driven” is just a buzzword. until you actually have a plan. 💥. Most startups want to use data to scale, but without a roadmap? They’re often just guessing. Here’s how a Data Maturity Plan can turn data chaos into growth clarity. 🧵👇.

P.S. For exclusive insights on data & scaling strategies, join my newsletter Data, Set, AI—your inside track to a data-powered future:

In Part I of my blog series, I dive into why scaling startups NEED a Data Maturity Plan and how it transforms “just numbers” into a growth engine. 💥. 👉 Read Part I here:

Startups move FAST. But without a data maturity plan? It’s like building on quicksand. 📉 Silos grow, reporting breaks down, and “data-driven” becomes just a buzzword. Imagine this: No more silos, clean data at every turn, and a strategy that scales with you! A Data Maturity.

🎯 Finding the Right Marketing Tool: Here’s What I Discovered! 🎯. After spending many hours into ActiveCampaign, ClickFunnels, and GoHighLevel, I finally got a clear picture of what each offers—and I’m sharing it here to save you the same rabbit hole of research!. Here’s the

Building a startup without a data maturity plan is like setting out on a cross-country road trip with no map. Establish these 10 steps now, and watch your data fuel your growth instead of holding it back. Don’t keep this to yourself—your team will thank you later! #DataMaturity.

Step 10: Make Your Team Data-Literate (Empowerment Starts Here).Data isn’t just for the analytics team! Train everyone on data use, so insights flow from every corner of your startup. A data-literate team is your superpower, turning raw data into action.

Step 9: Turn Data into Insights (Analytics and BI FTW).Data analytics and BI make data work for you. Design processes that turn raw data into insights your team can act on. This is where the magic happens—real-time data guiding real-time decisions.

Step 8: Manage the Data Lifecycle (Don’t Drown in Old Data).From creation to deletion, control your data’s journey. Define when data should be archived or deleted—this keeps your storage lean and your systems fast.

Step 7: Keep Quality High (Garbage In, Garbage Out).Don’t sacrifice quality for quantity. Regular quality checks ensure your data is accurate and actionable. High-quality data gives you insights you can trust—and decisions you can count on.

Step 6: Integrate Data Across Systems (No More Silos!).Your systems should work together, not fight each other. Interoperability connects your data sources, so your insights aren’t stuck in silos. Unified data means a clearer, 360° view of your metrics.

Step 5: Lock Down Data Security (A MUST as You Grow).As you scale, you’re handling more sensitive data. Establish security protocols, use encryption, and define access controls. Trust us, data security isn’t optional—protecting data protects growth.

Step 4: Choose Efficient Data Storage (For Today AND Tomorrow).Plan your storage to meet your current needs but allow room for growth. Think about speed, security, and scalability—your data storage should expand with you.

Step 3: Define Data Models (Blueprint for Your Decisions).Data models = consistency in your analytics and insights. From metrics tracking to customer insights, your data models give structure to the data you collect and make it actionable as you scale.