What is predictive technology?

Predictive technologies relate to techniques and tools used to model future behavior and preferences between consumers and other groups. There are many applications for predictive technology, from improving the effectiveness of call center workplaces to identifying possible terrorist threats. The most common use is in marketing, such as what the retailers do. In all cases, predictive technology is looking for formulas in previous behavior and results to predict future events.

The desire or need to predict what will happen next is the one that people consider to be more and more valuable. For this reason, predictive technology is likely to become more common over time. It is often used in predicting weather patterns, price movement on stock markets, traffic samples and many others. Marketing, however, is probably its most profitable use.

Many retailers collect information about which consumers buy, what products, in an effort to determine formulas.These Patterns are later used to adapt advertising campaigns. One way we see it is when we buy products online. The website often provides us with a list of items purchased customers with interests similar to our. This is done automatically, with predictive technology.

The way in which such technologies are used in marketing is often called data mining. In this case, it is not data as such that is mined, but rather usable patterns present in the data. In this way, not only patterns and changes are observed, but these techniques may have previously known facts. Data mining has interesting potential applications, including maybe they are used to find patterns in financial transactions and international travel to predict and prevent terrorist activities.

Another form of predictive technology is a predictive dialer, often used in Call CenterH to maximize efficiency. These are computer systems that dial many numbers as part of an advertising or political campaign to reach a large number of people as effectively as possible. Predictive dialers not only monitor the way the call is answered, but also looking for patterns. The aim of this type of technology is to have all available agents who accept as many calls as possible with minimal downtime, and also avoid leaving the call where someone answered the call but no agent was available. Predictive dialectors work best for calling and filtering is a large number of telephone agents.