Signals empower us to predict the future by learning from the past. 

We all learn from the past. So if you failed a mathematics exam in school, you learned you had to study harder not to fail the next one. Events that happened in the past can be measured in many different ways. Measuring a past event puts it into focus. In data mining, this process translates into creating a descriptive feature to describe or tell a story about the past in some way, shape, or form.

We call these descriptive features Signals. Signals are the indicators extracted from raw data that have proven to be valuable for solving a particular problem. Signals can also be created from other Signals by transforming one piece of information into something more meaningful or interesting. For example, using the initial Signal extracted from raw data — in this case, a test score — we can create several Signals that capture past school performance in mathematics and science for a certain student.

Topics: Signal Hub Technologies, Analytics, Signals

Are your employees communicating effectively? Find out how one company got everyone speaking the same language.

The larger a company gets, the more siloed it can become, and relying on happy hours, retreats, or top-down mandates are not enough to break these silos down. No matter how hard leadership tries, people have a difficult time getting on the same page when they all have different business objectives. And no company is immune. Even Apple has struggled with silos. Steve Jobs, in an effort to deconstruct silos, set up Apple's headquarters to encourage "collisions," or interactions between people who may not have necessarily interacted. 

Topics: Signal Hub Technologies, Analytics

Travel season is upon us, and what used to create excitement and anticipation now creates dread and anxiety. Flying is certainly not what it used to be, but thankfully, it’s also getting a little bit better, thanks to data science and advanced analytics. The world’s largest airlines generate and consume huge amounts of data on hundreds of millions of passengers, and that data is finally paying off for travelers. Of course, not all airlines use data the same way, and some of them hardly use it at all. But here, we take an inside look at those that do to give you the three best ways advanced analytics are improving the travel experience for over 200 million passengers.

Topics: Signal Hub Technologies

We’ve all been there. That place in the airport where you’ve just learned your flight has been canceled. If the weather’s bad, you can understand and roll with it. But if it seems arbitrary and royally screws up your plans — well, that’s another story. As a customer, you wonder, “Why do airlines do this? And how do they decide that my flight is canceled when others are not?” But airlines are asking their own questions, namely: “We have to cancel X number of flights, but which flights should we cancel to minimize the loss of revenue and customer loyalty?” Here, we delve into both sides of the issue, and the answers should provide a little context — and hopefully quell the frustration for everyone.

Topics: Data Science, Signal Hub Technologies, Marketing

Big data moves fast, but you can prime your company to always have the latest technology and ultimately grow with its data.

When you bring up the subject of Big Data, the conversation can go one of two ways: into the past or into the future. If the first question to come up is, “What kind of data warehouse do you use?,” you know you’re talking to someone living in the past. The new reality is that the demand for data storage is increasing much faster than the cost of data storage is decreasing, meaning enterprises will run out of affordable storage soon — if they haven’t already. A more forward-looking question might be, “What’s your plan to deal with the growing volume of data?”

Topics: Big Data, Signal Hub Technologies

Topics: Signal Hub Technologies, Press Releases

Topics: Big Data, Signal Hub Technologies, Press Releases, Partners

Topics: Big Data, Signal Hub Technologies, Machine Learning, Press Releases, Partners

Topics: Big Data, Signal Hub Technologies, Events, Press Releases, Partners

Topics: Big Data, Signal Hub Technologies, Machine Learning, Mobiuss, Press Releases