What Cloud Marketplaces Do and Don’t Do
Not long ago, we observed here in our blog that the critical insights that drive business value come from data that is both (1) fast and (2) reliable.
While Data Science gets the headlines, Data Engineering is working hard behind the scenes to make the Data Science magic possible. And by working hard, I mean that Data Engineering typically accounts for 70-80% of the total effort a firm spends on making use of data. Data Science and the unique insights it delivers are business differentiators, but most firms spend a minority of the time on them.
That’s why forward-looking companies increasingly turn to a partner like Crux. By offloading their Data Engineering work, these companies give more time and energy to Data Science and move much more quickly to produce valuable new insights that power their businesses.
Crux brings laser focus, deep expertise, operational oversight, and a valuable network of data suppliers to help you orchestrate, implement, and operate your information supply chain.
At Crux, we make data delightful.
Is it difficult to get access to useable data? Let Crux experts engineer your data to make it ready to use. Our data engineers take on your data challenges so that you can spend your time finding signals. Click HERE to chat with our team of experts.
Have data to share? Our data supplier community is growing by leaps and bounds. Our diverse datasets range from stock quotes to corporate trends to transportation data and more. No data is irrelevant. Create a Crux login HERE to browse our network and become a supplier.
We’ve been building our community. In the past month, we’ve met with hundreds of suppliers and buyers of alternative data.
Quandl Alternative Data Conference | January 18, 2018
New York, NY
Battlefin Discovery Day Miami | January 30-31, 2018
Miami, FL
Outsell Data Money | February 1, 2018
New York, NY
AI in Fintech Forum | February 8, 2018
Stanford University, Stanford, CA
Not long ago, we observed here in our blog that the critical insights that drive business value come from data that is both (1) fast and (2) reliable.
This past year has been exciting, representing the dawning of a new age for artificial intelligence (AI) and machine learning (ML)—with large...
How do you get white-glove customer service from a major data supplier?