DataExec
dataexec.bsky.social
DataExec
@dataexec.bsky.social
3 followers 1 following 70 posts
For data professionals ready to move from data analysis to business impact and unlock their next career level.
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🎥 Video Creation Sora • Luma • Kling • Pika • InVideo • HeyGen • Runway • ImgCreator AI • Morphstudio.xyz• Synthesia

💼 Meeting Management Tldv • Otter • Noty AI • Fireflies • Sembly
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✍️ Copywriting Rytr • CopyAI • Writesonic • AdCreative AI • Otio • Anyword

📝 Content Writing Jasper • HIX AI • Jenny AI • Textblaze • Quillbot • Wordtune
🎵 Audio & Voice LovoAI • ElevenLabs • Songburst AI • Adobe Podcast • Murf AI

🚀 Startup Tools Tome • Ideas AI • Namelix • Pitchgrade • Validator AI

⚡ Productivity Merlin • Tinywow • Notion AI • Adobe Sensei • Personal AI • Taskade
🖼️ UI/UX Design Figma • Uizard • UiMagic • Photoshop • Visily

🎭 Graphic Design Canva • Flair AI • Clipdrop • Autodraw • Magician Design • Recraft

🏷️ Logo Creation Looka • DesignsAI • Brandmark • Stockimg AI • Namecheap • Logomaster
Stop Working Like It's 2020

80+ AI Tools

A comprehensive toolkit for every part of your workflow:

🔍 Research & Analysis ChatGPT • Claude • DeepSeek R1 • Gemini • Abacus • Perplexity • Consensus

🎨 Image Generation Midjourney • DALL-E 3 • Flux • Stability AI • Grok • Ideogram • Leonardo AI
Just the way you see it happening with AI now. Companies are rushing to implement AI solutions trying to prove themselves as “innovative”, which success is mainly measured based on how many AI models they have deployed rather than the actual business impact and the value it delivers.
The Dashboard That Should Have Been an Excel Spreadsheet
The automation obsession and when Excel wins
dataexec.io
Stop trying to learn every data tool. Master one deeply instead of knowing the basics of a few. Hiring managers would rather see expertise in Tableau than having surface level knowledge of Tableau, Power BI, and Looker combined.
Now, with AI amplifying our decisions, the stakes are even higher. Bad data does not just create embarrassing presentations anymore, it actually drives automated decisions that scale your problems across the entire organization.
The $200k Dashboard That Nobody Trusted
The expensive lesson in why data quality beats visual design every time
dataexec.io
The brutal truth is that listing programming languages on a senior level resume actually hurts your candidacy. It gives the signal that you still think like a technical contributor rather than a business leader.
Why Your Technical Resume is Sabotaging Your Career Growth
Turns out that technical skills were the least of my problems
dataexec.io
Stop using AI for generic interview questions and practice generic answers.
Use AI to analyze specific challenges your target role faces at that specific company, then show how you solve them.

Are you preparing to answer questions or preparing to solve their problems?
The most expensive mistake is building dashboards nobody asked for. Before automating anything, ask yourself: “Does this actually need to be automated?”. Sometimes the smartest tech solution is no solution at all.

What is the last thing you automated that probably should have stayed manual?
A typical conversation between Business and IT team..
Just the way you see it happening with AI now. Companies are rushing to implement AI solutions trying to prove themselves as “innovative”, which success is mainly measured based on how many AI models they have deployed rather than the actual business impact and the value it delivers.
The Dashboard That Should Have Been an Excel Spreadsheet
The automation obsession and when Excel wins
dataexec.io
The transition is not about abandoning finance. It is about becoming a finance professional who speaks data fluently.

The companies that will value you most are the ones that need someone who understands both the business and the analysis.
Finance Pro's Data Analytics Hack: Leverage Your Business Edge
Unlock the secret to transitioning from finance to data analytics: leverage your business acumen, avoid certification pitfalls, and strategically navigate your career shift with insider insights.
dataexec.io
“We need AI because everyone else is doing it” is the new “we need a dashboard if we want digital transformation”

Before automating, ask yourself: Does this actually need to be automated?

I have seen $200k solutions perform worse than spreadsheets that took 2 hours to build.
Uncomfortable truth: Fortune 500 companies run critical processes on Excel spreadsheets.

It is not like they can’t afford better or more expensive tools, but they stick to Excel because it is the right tool for that specific process.
Before automating any process, ask one question: “Does this actually need to be automated?”.

I have seen companies spending hundreds of thousands building solutions that perform worse than the Excel spreadsheets they replaced.

The most sophisticated solution is not always the smartest one.
Once I built a fancy Tableau dashboard for a CFO's “digital transformation” initiative. The #1 feature request after launch? An “Export to Excel” button.

We basically created the most expensive Excel file viewer in the company. Sometimes the best tech solution is not tech solution at all.
Teach is great, until it becomes overkills.

Do not confuse “looking modern” with “being useful”.
AI integration is not coming to the job market. It is already here. Companies use AI for candidate screening. Smart job seekers use AI for targeting and preparation. The only question is whether you will adapt or get left behind.
How to Use AI to Land Your Next Job - A Complete Guide
Why Traditional Job Search Methods Are Failing and The 5 Stage AI-Powered Job Hunt Strategy
dataexec.io
With AI making technical execution easier, your value will not be in writing complex SQL queries or building complex data pipelines. Those skills are becoming commoditized.

Your value needs to be in understanding what business problems you are actually trying to solve.
Why "Data Analyst" is the Wrong Title
Inside Expensive Digital Graveyards
dataexec.io