Neudata’s Post

📊💼 Cracking the Code: Private Equity's Data Triumphs! Ever wondered how PE firms conquer data struggles? The secret? Investment Outcome Prediction. Navigating vast historical data is like finding a needle in a haystack—except this needle predicts portfolio performance. 💡 Enter data science! It transforms raw data into precise forecasts. Now, imagine the power of collaborative insights from various firms—redefining the game in Investment Outcome Prediction. Stay tuned for tomorrow's blog post unveiling this transformative journey! 🚀💹 #DataScience #PrivateEquity #TechTales #DataTriumphs #InvestmentPrediction

🕵️♂️💼 Decoding Private Equity Investments with Data Science! Before a company secures a spot in a Private Equity (PE) portfolio, it's like navigating a maze. Enter Anomaly Detection—the superhero in screening! Picture sifting through investments, spotting outliers and red flags, like uncovering hidden treasures. Data science uses algorithms to reveal irregularities, reshaping the future of PE with innovation. Ready to dive into a world where anomalies hold the key to investment success? 🚀💡 Explore how predictive analytics is reshaping the retail landscape: [https://buff.ly/47hwM6h] 📖🔗 #DataScience #PrivateEquity #AnomalyDetection #InvestmentScreening #Innovation

📈💼 Revolutionize Your Private Equity Game with Data Science! Managing a diverse portfolio in Private Equity is no walk in the park. The struggle is real, and conventional methods just won't cut it. Enter the era of data and analytics—where Private Equity firms not only keep up but dominate. The struggle transforms into leveraging innovative approaches, turning challenges into opportunities. 🚀💡 Ready to redefine the future of Private Equity? Dive into the data-driven revolution at Partners in Company: [] #PrivateEquity #DataRevolution #Innovation #TechTales #BusinessRealities #DataScience

The power of going beyond traditional metrics to extract signal in quantitative investment management remains at the forefront of financial analytics. At our recent Quantitative Investment Management Forum in New York, we hosted lively and compelling discussions to explore the power of data and alternative data. Read our blog to understand why and how investment managers will be increasingly creative with how they leverage data, analytics and technology to squeeze alpha. #marketdata #investmentmanagement #alternativedata

In the world of investing, we are constantly bombarded with a deluge of information—articles, reports, opinions, and more. The image that I came across by Behaviour Gap, perfectly encapsulates this reality: a vast sea of noise with only a small portion of important information.  That’s what drives me as an equity research analyst,  uncovering those rare nuggets of actionable insights to drive real value.

Our Silicon Valley Bank NY office was packed yesterday! A panel with investors from Insight Partners, Lerer Hippeau, L Catterton, and Inspired Capital, shared deep dives into the market trends, valuations, and pricing—led by our SVB NY Investor Coverage and leadership: Sean Stone, Arianne Perry, Alicia Fuller. As we navigate the ups and downs of 2023, the question on everyone's mind is: Will this continue into 2024, or is significant growth on the horizon?? Find out in our latest SVB H1 2024 Market Outlook 👉 https://lnkd.in/ez3-6-JJ. Highlights include: - Investor Caution: In a tighter capital environment, preference leans towards companies rich in intellectual property, especially those holding over 15 patents, showing a smaller decline in deal activities. - Down Rounds: Not a dead end, with 70% of companies bouncing back with another equity round, often at valuations over 100% higher. - About half of the US VC-backed startups might run dry by Q4, the highest since 2019, with the disparity in cash runway shrinking by 40% since 2021 among companies. - AI was a priority for a quarter of the funds closed in 2023.

Luck vs Science... What really makes the highest performing investors/funds successful? This ultimately ties back to making decisions not based on emotions, but instead calculations that use a multitude of data/insights to determine the next steps. Essentially, a multimodal approach where everything in the ecosystem matters. The moral of the story is that investors from all walks of life (hedge funds, family offices, etc.) need to step outside of the box and think about all of the pieces of the puzzle that come together to paint the big picture in the end. And decisions should be made on the sum of data not individual pieces of the pie. We have a lot in the works and will be sharing more soon...

DeepDive/Everest Group research on leading indicators and AI The Financial Services Review cover story (referenced in post below) strongly credits Everest Group, and this merits elaboration: Everest Group's expert staff are differentiated thought leaders in the tech services industry. They produce focused research on the industry's many subsegments, and this research contributes industry knowledge that is very valuable and unique (i.e., generally not available elsewhere). We're also continually impressed to see the expanding ways Everest engages and supports an array of tech services buyers and suppliers.   Looking forward, we're excited about additional upcoming collaboration between DeepDive Equity Research and Everest.  In particular, building on DeepDive/Everest's ongoing effort to forecast shifting industry growth trends, we're now working on deeper efforts to study leading indicators of IT services demand and to evaluate the impacts of #AI on key market segments. These efforts should render important findings for DeepDive's institutional investor clients. Rod B., Managing Partner at DeepDive #investing   #markets   #equities   #economy   #cio   #technology  #hedgefunds  #privateequity  #ai  #genai Accenture Cognizant DXC Technology Infosys Unisys IBM Kyndryl CGI Tech Mahindra EPAM Systems Globant Endava Wipro Tata Consultancy Services

This weeks lesson as a Start-up Founder: "The flak is heaviest when you're over the target". Thanks Mike Wise. Plum Labs unifies data and risk models on a single cloud-based platform. We empower the Front Line to access data and models without data engineering bottlenecks, enabling investment professionals to innovate at the pace of the markets. Our bet? Institutional-grade investment modeling will catalyze further investment growth in digital and emerging assets. Let's goooooo!! #innovation #motivation #riskmanagement

How does it all work? 🤔 Below are just a few examples of where our portfolio managers and analysts have harnessed expertise from across the breadth of our research, with direct investment implications. 👇 #Multidimensional #Research #UnlockOpportunity For professional investors only. Capital at risk.