Mike Liebman’s Post

Our next edition of Data Spotlight series showcasing insights derived from 8,000+ enterprise datasets from Bloomberg is here! 📊💡 In this edition we focus on insights related to alternative data, in particular—Bloomberg Second Measure’s transaction data analytics, as well as Bloomberg’s Company Financials, Estimates and Pricing Point-in-Time dataset. Read the full Data Spotlight ➡️ https://bloom.bg/4cGszLQ #EnterpriseData #AlternativeData #TransactionData

Our next edition of Data Spotlight series showcasing insights derived from 8,000+ enterprise datasets from Bloomberg is here! 📊💡 In this edition we focus on insights related to alternative data, in particular—Bloomberg Second Measure’s transaction data analytics, as well as Bloomberg’s Company Financials, Estimates and Pricing Point-in-Time dataset. Read the full Data Spotlight ➡️ https://bloom.bg/3xGZTTN #EnterpriseData #AlternativeData #TransactionData

Our next edition of Data Spotlight series showcasing insights derived from 8,000+ enterprise datasets from Bloomberg is here! 📊💡 In this edition we focus on insights related to alternative data, in particular—Bloomberg Second Measure’s transaction data analytics, as well as Bloomberg’s Company Financials, Estimates and Pricing Point-in-Time dataset. Read the full Data Spotlight ➡️ https://bloom.bg/3z7IX9o #EnterpriseData #AlternativeData #TransactionData

Our next edition of Data Spotlight series showcasing insights derived from 8,000+ enterprise datasets from Bloomberg is here! 📊💡 In this edition we focus on insights related to alternative data, in particular—Bloomberg Second Measure’s transaction data analytics, as well as Bloomberg’s Company Financials, Estimates and Pricing Point-in-Time dataset. Read the full Data Spotlight ➡️ https://bloom.bg/3VMC860 #EnterpriseData #AlternativeData #TransactionData

Our next edition of Data Spotlight series showcasing insights derived from 8,000+ enterprise datasets from Bloomberg is here! 📊💡 In this edition we focus on insights related to alternative data, in particular—Bloomberg Second Measure’s transaction data analytics, as well as Bloomberg’s Company Financials, Estimates and Pricing Point-in-Time dataset. Read the full Data Spotlight ➡️ https://bloom.bg/3xnZ0zH #EnterpriseData #AlternativeData #TransactionData

Our next edition of Data Spotlight series showcasing insights derived from 8,000+ enterprise datasets from Bloomberg is here! 📊💡 In this edition we focus on insights related to alternative data, in particular—Bloomberg Second Measure’s transaction data analytics, as well as Bloomberg’s Company Financials, Estimates and Pricing Point-in-Time dataset. Read the full Data Spotlight ➡️ https://bloom.bg/45zTuqb #EnterpriseData #AlternativeData #TransactionData

This is a great place to start if you are thinking about buying or integrating #historicalstockprices data. https://hubs.ly/Q02z_RDV0 #eoddata #stockpriceapi #stockmarketapi #stockpricehistory #stockapi #financialdata #financialdataapi

At BIQH, we often see companies struggling with "The Market Data Spaghetti." This tangled infrastructure of market data leads to several problems, such as vendor lock-in and double data purchasing. What is The Market Data Spaghetti, and how did it come to this? Discover the answers in Bernard Schut's latest blog post: Untangling the Market Data Spaghetti. https://lnkd.in/eM5KtgKc #MarketData #DataManagement #BIQH #VendorIndependence #MarketDataSpaghetti

Check out the latest BIQH blog post, where we explore the concept of the Market Data Spaghetti, a problem I frequently see in many companies. Read it here: https://lnkd.in/ehhH6NEw

Data could be the most valuable asset your company owns. Surprisingly, 95% of companies don't even measure this value, which really undermines their worth. Our team gathered some insights on data valuation and how you can make the most of it. Definitely worth checking out: https://lnkd.in/dKpXjrrZ