This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
It’s that time of year, time to look back and reflect on the most significant storylines in the tech, startup, and VC world. A comprehensive post on this topic could be 5,000+ words, but we do not do such things here. We kept detailed notes month by month and today, I tried to organize them by key sections, what you’ll see below. There’s a good chance I’ve missed something — if you feel that way, by all means, please share your point of view on Twitter (or email) an
It’s been more than nine years since a devastating tropical cyclone known in the Philippines as Typhoon Ondoy made landfall, causing US$1.09 billion in damages, 747 fatalities, and severely affecting the lives of 4.9 million people. The September 2009 storm was the most devastating typhoon to hit Manila since 1970. Nearly 10 years later, survivors are still struggling to rebuild their lives.
Ran across these great blog posts ( The Illusion of Product/Market Fit for SaaS Companies , The SaaS Adventure ) by Brad Feld & Neeraj Agrawal respectively. Product/Market Fit is now, appropriately, a central concept in startups. But when do you have it? If you think you have it, odds are darn good you don’t. Is your data really robust enough for you to know you have it?
One of the most common ways a venture capitalist rejects you is a variation of, “I love you, I love your company. I brought it up to the investment committee (“IC”)… but they turned it down.” What does that actually mean? Is this the business equivalent of telling a flame, “ It’s not you, it’s me ”? A few years ago I published a research paper on how private equity and venture capital firms originate investments.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Alright, here we go. My predictions for 2019. I am not great at these “looking ahead” posts. We all know the unknown will happen. Looking at my post last year, it wasn’t that great — and my take on crypto was proven wrong. Ok, let’s move on…for 2019’s prediction, I tried to keep it simple and cook up big questions that are on most peoples’ minds, and offer my two cents on them.
Written for EO by Lucy Grant, freelance content manager and writer. As an entrepreneur, your success is often dependent on the individuals you employ to bring your vision to life. Unfortunately, not all job applicants are as honest as we would like them to be. In fact, as many as 85% of employers declared that they have caught applicants lying on their resumes or job applications according to a 2017 employment screening benchmark report by HireRight.
Written for EO by Lucy Grant, freelance content manager and writer. As an entrepreneur, your success is often dependent on the individuals you employ to bring your vision to life. Unfortunately, not all job applicants are as honest as we would like them to be. In fact, as many as 85% of employers declared that they have caught applicants lying on their resumes or job applications according to a 2017 employment screening benchmark report by HireRight.
How far along was the typical SaaS Series A in 2018? The median business was at $1.8M in ARR and growing at 250%. The chart below shows a representative sample of SaaS Series As’ ARR and projected ARR growth rate for 2018. Breaking this down a bit more into quartiles, the ARR quartiles were: 25th. 50th. 75th. 1.4. 1.8. 3.0. And the ARR growth rate quartiles were: 25th. 50th. 75th. 140%. 230%. 320%.
Eighty percent of all businesses purchased by another company or by a new investor-operator fail to meet the stated expectations of the buyer after one year. As with the fifty percent rule discussed last week (fifty percent of startups fail within two years), this rule is hard to find an author willing to be quoted as the source. But it is within the range of experience by many of us professional investors, and with those who have acted as brokers, serial purchasers or consultants for acquisiti
Written for EO by entrepreneur and philanthropist David Disiere. It happens in an instant. The clock strikes midnight on 31 December, and every store seems awash with self-help books, diet plans, and exercise equipment. Despite this flurry of activity, about 80 percent of people abandon their new year’s resolutions by the second week of February.
Eighty percent of all businesses purchased by another company or by a new investor-operator fail to meet the stated expectations of the buyer after one year. As with the fifty percent rule discussed last week (fifty percent of startups fail within two years), this rule is hard to find an author willing to be quoted as the source. But it is within the range of experience by many of us professional investors, and with those who have acted as brokers, serial purchasers or consultants for acquisiti
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
We organize all of the trending information in your field so you don't have to. Join 24,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
165 
Let's personalize your content