ScaleUp Tech Academy is inviting you to a 90mins FREE webinar on 20th January 2024 by 6pm WAT. We would be answering any questions in regards to our next cohort, and also be discussing what are your benefits in graduating from our business intelligence, Data analysis and Reporting Program. Please feel free to request in our DM for the Zoom link if you wish to attend #business #dataanalysis #reporting #excel #inteligenciaartificial #scaleup #businessanalytics #zoommeeting #entrepreneurship #edtech
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The webinar on Data Visualization and Presentation Skills organized by Reverr was a success! We learned how to create compelling data visualizations that tell a story and sell your startup ideas. 📈💯💵 We were so pleased with the footfall and the positive feedback from our attendees. Thank you to everyone who participated and made it such a great event. If you missed the webinar, stay tuned for more informative webinars on topics relevant to entrepreneurs. We hope to see you soon! 🙌🙏💡 #reverr #startuptips #startupadvice #datapresentation #webinar #presentation
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🤔 What role should Big Tech firms play in supporting the startup ecosystem? 🧠 Our #BigTech Survey seeks to understand the level of support offered by the six big tech firms – Amazon, Apple, Google, Meta, Microsoft, and NVIDIA – to startups and scaleups in Europe. 🔎 By participating, you'll help us build a clearer picture of the current landscape and contribute to a comprehensive report to influence future support strategies for startups. 💝 Plus, as a thank you, one lucky founder will be selected to spend an afternoon at our Founders Forum Group offices, including a one hour session with each of our Founders Forum Group sub-businesses to help refine your startup's strategy, covering HR, comms, branding, media, and your exec team. 🫵 European Founders, have your say! Complete the survey below. https://lnkd.in/e5g3sNV7 Francesca Arese Lucini | Marco De Novellis #BigTech #Startups #Scaleups #Prizes #Survey
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🌟 Tired of juggling multiple data sources? Say goodbye to the chaos! With the power of Glide, you can effortlessly consolidate all your data into one centralized platform, revolutionizing your data management game. 🚀 #entrepreneurship #productivityhacks #datamanagement _____ How can I consolidate all my data sources into one centralized platform to streamline data management?
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Hola, LinkedIn Fam! HUGE NEWS! Spark is launching a startup equity series to answer common questions first gens and professionals of color have when considering startup compensation. Think less jargon heavy snippets and more conversational deep cuts by industry experts. For example: How do I value my RSUs? What the heck are even RSUs? We got you. But we need your help! To ensure we answer the right questions (Que the I Robot references), we’d love for y’all to submit in the comments or via the Typeform below any burning questions you have on startup compensation. Our goal is to demystify the startup career route for diverse professionals. And quite honestly, create the guide my Co-Founder and I wish we had when we started our own startup careers. Long term, I’d love for this to contribute to the ongoing dialogue of getting more professionals of color into the innovation ecosystem. A really good example of this and a source of inspiration for Spark is Symphonic Capital’s #startupgrapevine. As always, we appreciate y'all and look forward to seeing your questions come through. Abrazo, The Spark Team #equity #dei #startups https://lnkd.in/eb7DAe33
Equity Question Submission
https://typeform.com
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🚀 Let's help create the guide professionals wish they had when starting their own startup careers. Your input matters! 🚀 SparkGen is launching a Startup Equity Series to demystify common questions first gens and professionals of color often have when considering startup compensation. They want YOUR burning questions. Drop your questions in the original post comments or use the Typeform below to contribute to this mission and support diversity in the innovation ecosystem!
Hola, LinkedIn Fam! HUGE NEWS! Spark is launching a startup equity series to answer common questions first gens and professionals of color have when considering startup compensation. Think less jargon heavy snippets and more conversational deep cuts by industry experts. For example: How do I value my RSUs? What the heck are even RSUs? We got you. But we need your help! To ensure we answer the right questions (Que the I Robot references), we’d love for y’all to submit in the comments or via the Typeform below any burning questions you have on startup compensation. Our goal is to demystify the startup career route for diverse professionals. And quite honestly, create the guide my Co-Founder and I wish we had when we started our own startup careers. Long term, I’d love for this to contribute to the ongoing dialogue of getting more professionals of color into the innovation ecosystem. A really good example of this and a source of inspiration for Spark is Symphonic Capital’s #startupgrapevine. As always, we appreciate y'all and look forward to seeing your questions come through. Abrazo, The Spark Team #equity #dei #startups https://lnkd.in/eb7DAe33
Equity Question Submission
https://typeform.com
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💰Growth Advisor | Help Startups & SMEs to Grow exponentially 🔥 | Big 4 Consulting exp. | Data Analytics & BI Consultant | Digital Marketer | SEO | Power BI | MSSQL
🚀 Excited and honored to be recognized as a Top Data Analytics Voice on LinkedIn! 🎉 A big thank you to my network for the continuous support and engagement. This journey has been incredibly rewarding, and I look forward to sharing more insights and helping startups and SMEs grow exponentially. Here's to more data-driven success! 🌟 #DataAnalytics #GrowthAdvisor #ThankYou #LinkedInTopVoice #ankitnegi #linkedinbadge
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A short story about our early days as founders. There's a simple framework that describes potential paths to finding a great B2B startup idea, presented by Lenny's Newsletter: (1) identify a past pain and solve it; (2) pick an industry and interview lots of insiders to find an important problem to solve; (3) identify the pull of something you've built and pivot to it. We spent my last months at Harvard Business School following path (2), but we got excited about the data engineering space and ended up doubling down on path (1), in which my co-founders have a lot of experience. Still, we find it important to always maintain the "ponder and probe" approach and never stop asking our customers what is the biggest problem they are trying to solve.
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Tech startup CEO Emily uses advanced analytics to predict how Fed decisions might impact her business operations and adjusts her strategy accordingly. How do you use technology to navigate economic changes? #FinancialTech #FederalReserve #InterestRates #TechInnovation #Management #DigitalMarketing #Analytics
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This is exactly what needs to be done. Don’t want to educate for data literacy? Fine. Then build process into your tools, such that the only way to get business value is to learn the embedded process, or churn out. If you’re a data tool vendor, this is likely the high order bit. Accounting software does not have this issue because they have GAAP. What’s the GAAP for operational data?
Bribing Benn to write this was money well spent. It's an un-excerptible call for what the future of BI, and analytics more broadly, really needs: strong and opinionated perspectives on "how to data". What data teams and tools most need to embrace is convention over configuration. Curation over boundless exploration. Education over unstructured enablement. We made a lot of progress over the last decade of evolution in the "Modern Data Stack" in lowering the technical friction around getting data work done, but it isn't enough and it isn't going to get us to the promised land of data teams and tools actually being valued. What that will take is embracing constraints, e.g.: 1. Generally Accepted Analytics Principles can be codified. 2. There are only so many kinds of analyses and a right way to perform each one. 3. There is a best chart to tell each story. 4. Data models can and should be standardized. 5. Paraphrasing Scott Belsky on product: "[Data consumers] are lazy, vain, and selfish" 6. Incentives >>> Training. Driving data literacy is hard; driving incentives to use data well is way easier. 7. There is a set of playbooks for operationalizing data into company operating rituals. These constraints are healthy. They are realistic. They help us focus, and in so doing, they help *free* us. Embracing them is how we build a future where data teams and tools alike are valued. I can't wait.
BI’s third form
benn.substack.com
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Fractional CPO | Startup Advisor | Growth Strategist | PhD in AI/ML | Career Coach | Help Businesses Build, Launch and Scale Software Products
Leaving academia meant saying goodbye to more than just a job; it was the end of a meaningful relationship with two long-term colleagues. We had spent countless hours together, developed a shared language, published papers, and secured research funds. They weren't just colleagues; they were friends. But when I left my research scientist position, our connection faded. I haven't spoken to them since. Those friends were R and MatLab—statistical tools that were more than just software. They were companions in my data analysis journey, pushing me to explore and innovate. While I cherish our past collaborations, I now focus on my product enhancement friends in data analytics, forging new friendships with tools like PowerBI, SQL, and Python. It's a new chapter, but I'm confident that building new relationships is part of growth and progress. If you're navigating a similar transition or looking to delve into data analytics, remember: making new friends is always possible, and your past experiences are a valuable foundation for future success. Also you can try out our free Data Analytics Course: https://buff.ly/4dhCGro
Trainings - fandfconsultancy
https://fandfconsultancy.com
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