Find your way Market Summary What`s new AI Robots 1-on-1 lessons Help Sale

published in Blogs

Jun 10, 2019

Salesforce (CRM, $153.95) to acquire Tableau (DATA, $168.83) for $15.3 billion in all-stock deal

Cloud-based software company Salesforce.com has decided to acquire big data/visualization software firm Tableau Software for around $15.3 billion, as announced on Monday.

As part of the all-stock deal, Tableau shareholders would receive 1.103 shares of Salesforce, which represents an offer of around $177.88 per share - a 42% premium on Tableau’s Friday closing price.

If the deal goes through, it would mark Salesforce’s largest acquisition till date. In 2018, it bought software maker MuleSoft for $5.9 billion.

The news sent Tableau shares soaring more than +30% Monday. Salesforce shares lost more than -4%.

Salesforce CEO Marc Benioff indicated that he is hopeful about the strong impact resulting from the coming together of the two companies specializing in customer relationship management and data analytics respectively.

According to the companies, the merger should immediately lead to an increase of between $300 million and $400 million in the combined group's sales.

The deal is expected to close in the third quarter, following which Tableau will operate independently.

Last month, Tableau reported quarterly net losses of -2 cents per share on an adjusted basis, on revenue of $282.5 million – compared to analysts’ estimates of a loss of a penny per share on revenue of $287.3 million. Salesforce, on the other hand, reported last Thursday its non-GAAP earnings of 93 cents per share for the three months ending in April, thereby beating the Street consensus expectation of 61 cents.

The news of the deal comes a week after Alphabet Inc.’s Google agreed to buy Looker Data Sciences Inc. for $2.6 billion, in what seems to be Google’s attempts at expanding into cloud-based data management.

Related Tickers: CRM

John Jacques

published in Blogs

May 16, 2022

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I. Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.

Edward Flores

published in Blogs

Apr 29, 2022

How to Become the Millionaire Next Door

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations. As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.

Sergey Savastiouk

published in Blogs

May 16, 2022

When Is the Next Recession Coming?

However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.

Sergey Savastiouk

published in Blogs

Mar 14, 2023

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.

Dmitry Perepelkin

published in Blogs

Mar 14, 2023

5 Habits that Lead to Successful Investing

To consistently make money in this industry, you need emotional fortitude, an analytical mind, and a willingness to self-reflect. Despite trading and investing being two different activities, these principles can be applied to both.Conversely, investors with good habits often become great traders. Rather than full sentences for titles, we’ve labeled each of our top-five investing habits using a single word principle.

Sergey Savastiouk

published in Blogs

Mar 13, 2023

4 Tips for Fast, Effective Stock Analysis

With just a few clicks, an investor can search for individual stocks, categories of stocks, sectors, or investment themes, and then he or she can conduct a full range of technical and fundamental analysis within seconds.All powered by Artificial Intelligence. Below, we give you 5 tips for fast, effective stock analysis using Tickeron’s Screener.

Sergey Savastiouk

published in Blogs

Mar 20, 2023

5 Golden Principles in Investing

You have enough faith in that stock, based on research, that the return will equal or exceed the investment. Do unto others.The principles outlined here will ensure that happens. Principle #1: Diversification Investors can’t be one-dimensional when constructing a portfolio.

Sergey Savastiouk

published in Blogs

Mar 15, 2023

The five most important Lessons Learned After 10,000 hours of Trading

Edward Flores

published in Blogs

Mar 12, 2023

What's the Difference Between Tokens and Altcoins?

Between their inherently technical nature, multiple varieties and sub-varieties, and endless terminology, cryptocurrency (defined here as digital or virtual currencies that are encrypted using cryptography, powered by the immutable digital ledger known as the blockchain) represents a whole, complex world.All altcoins possess their own blockchain, independent from their source code, that records all transactions of their native coins. Many altcoins are variants, or forks, of Bitcoin that leverage that cryptocurrency’s open-source protocol as the basis.

John Jacques

published in Blogs

Apr 29, 2022

How Machines and Humans Can Work Together

We use devices every day that incorporate artificial intelligence (AI) – to the point where certain actions, like communicating with digital “assistants,” have become second nature.Books and movies tell us that AI will not only replace our jobs, and by extension, our livelihoods – it will eventually replace us, too. While there is historical precedent for job loss following adoption of new technologies, experts insist that we should not be looking at AI as ‘machine versus human,’ but rather as machine plus human.