Sat.Feb 08, 2014 - Fri.Feb 14, 2014

article thumbnail

How to Combat Inaccurate Data and Faulty Statistics When Making Decisions

Tom Tunguz

When presented with figures and numbers and statistics, it’s easy to take the conclusions as fact. Numbers in a spreadsheet carry a finality, a exactitude that belies how inaccurate they can be. In 2005, Stanford professor Johannes Ioannidis turned the world of research and statistics on its head. He published “ Why Most Published Research Findings Are False.

Data 100
article thumbnail

Launched: Customizable columns on leads page

CloseSaaS

We're happy to announce we've just launched one of the many changes we're working on to allow you to better see your sales data in more meaningful ways.

Data 52
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Why Startups Face Increasing Competition in Raising Series As and Bs

Tom Tunguz

Has it become harder to raise money? is a question I hear all the time. On one hand, the total dollars invested by VCs is relatively flat at just under $30B per year, according to the NVCA. On the other hand, the stories of difficulty raising series As and Bs have become a steady drumbeat. To get some sense of the patterns, I analyzed 917 companies from seed through Series B over the past 14 years, using Crunchbase data.

Startup 100
article thumbnail

How Your Startup's Sector Affects Your Ability to Raise a Series A

Tom Tunguz

The average seed stage startup has a 20% chance of raising a Series A according to Crunchbase data for IT startups who raised seed and Series A rounds between 2006 and 2013. But this figure varies significantly sector by sector. Below is a chart of the different startups’ sectors and their rates of raising Series A capital net of the mean of 20%.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?