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The market needs new predictive alternatives which allow getting more benefits of the data

Many are the figures used regarding “predictive analytics”. An up warding niche which has a clear compromise with the future. But, which is the real current situation?

Almost 95% of the companies assure that during the last year they have registered a considerable increase of the data volume they have to handle and the 75% assure that it is hard for them to use predictive analytics tools without having trained staff for them.According to Gartner, in its report Survey Analysis: Big Data Adoption in 2013, the 64% of the organizations at global scale is already investing in technologies related to big data or at least they hope to do it in a short period of time.
More than three fourths of the companies agree that the investments in predictive analytics will be a priority in the following five years, but,despite of this, only the 29% affirms to be using these tools nowadays. And almost all of them agree that the organisations using predictive tools have a positive impact.

Conclusions show that companies need new alternatives and tools which allow decision-making bodies to make more profit of their data. Many expectation, but at the same time, many inconveniences. 

In words of Santiago González Lobo, CEO at Apara, “The volume of data grows in an exponential way and there are more and more companies which consider the advanced analytics as a competitive and unavoidable advantage.  Nevertheless, the excessive manual focus, the lack of specialized resources and high investments are some of the most common inconveniences that we have detected on the market and which make more difficult to adopt in a more generalized way the predictive tools. In conclusion, we see that it is necessary to renew the traditional focus and adapt it to the new market needs. A new focus guided by the data that allows giving answers in real time.”

For this reason Apara decides to give a step more and bet on a last generation technology that prints this “sixth gear” the market needs and allows closing the cycle of decision making, besides being really fast.

Apara’s predictive technology has been referenced by Gartner in several occasions as one of the companies whose technology is already applied to Big Data problems to give predictive solutions to business problems in different fields and industries.

A big part of the current focuses need specialists and human dependences which stop that “extra” of speed that they would have if they would count with the new generation solutions Gartner speaks about when referring to those able to offer an integrated solution that allows the complete automation of the decision process.

The Apara dVelox Enterprise platform is considered as a referent thanks to its technology based on a modern architecture, flexible and scalable which includes last generation algorithms of artificial intelligence. 

Some of the advantages the Apara solution offers are:

  • Cyclic learning: the new unusual patterns detected improve automatically the predictive capability of the models, diminishing with almost no effort in the recalibration of the models the false positives.
  • Higher analysis force: clustered analytic engine which makes scalability easier.
  • In-memory supports which provide better services facing high volumes of information.
  • Intelligent automation of the decision processes which increase drastically the speed of answer for the business and diminish the maintenance costs and updating of the predictive models.
  • Mobile devices support (tablets and smartphones).

Apara is a company born in 2002 with 100% Spanish capital as a spin-off of the Quality and Technology Group. More than fifteen years of experience in Predictive Analytics and Business Intelligence prove its success. Apara has developed dVelox, the first Spanish business platform regarding Predictive Analytics mentioned by Gartner in more than 15 reports. 

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