Predictive analytic Standards are playing a central role in creating ecosystem that supports current and future needs for broad, real time use of predictive analytics in the era of big data.
Predictive analytic standards help organizations institutionalize predictive analytics by simplifying user experience in turn enhancing adoption, encouraging utilization and establishing a culture of insight driven decision making at all levels.
Predictive analytics is becoming the mainstream of most companies, most organizations making it as a part of their overall organization.
This descriptive whitepaper mainly focus on three important insights of standards in predictive analytics:
• The rate of R in broadening the predictive analytics ecosystem
• The role of Hadoop in handling big data for predictive analytics
• The role of PMML in moving to real time predictive analytics
By: GTT Communications
Cloud connectivity has moved beyond the tipping point, with the majority of enterprises using some form of cloud computing in their business. The white paper on “Cloud computing success demands the right cloud connectivity” highlights why it is critically important for enterprises to use private cloud connectivity, rather than the public Internet, to access their IT applications and services residing in the cloud. In this white paper, GTT explains that a cloud solution is only as good as the network that supports it. Key takeaways from it: Fast provisioning and service turn-ups enhance enterprise agility and cloud connectivity Transparent access protects existing hardware and software investments Reliable, secure network technology means reliable, secure cloud connectivity The right network connectivity is essential to enterprise cloud computing success
By: VoiceBase, Inc
Today’s call center is not lacking data. But the manual process of analyzing voice recordings in search of business opportunities is labor intensive and costly. And it takes time— time that could be better spent exploiting new-found insights to improve business processes. By replacing human call scoring with an automated call solution offered by contact centers, call-tracking services and hosted PBXs can save a considerable amount of time and money. Your clients will be interested in a solution that accelerates the call-scoring process, saves money, and enables a new level of intelligence to be gleaned from customer calls. VoiceBase Predictive Analytic is just such a solution. Automatically mining the rich data in spoken interactions opens the door to a wealth of possibilities. Read this whitepaper for predictive insight on automated call & scoring leads for today's call center systems.
What is Analytics ?
Analytics is the process of obtaining an optimal and realistic decision based on examining existing data, typically large sets of business data, with the aid of mathematics, statistics, specialized systems and software. In the last few years use of analytical methods to extract useful insights from data have gained immediate importance and has helped several companies improve their business performances.
What is Hadoop ?
Hadoop is a data storage programming open source frame work, developed using java language and is sponsored by Apache Software. Hadoop was developed by Doug Cutting and Mike Cafarella for the support distribution of nutch search engine project. Hadoop act as the back bone for big data operations. It helps in storing and analyzing the larger data sets. Hadoop applications help all kind of industry such as retail, marketing and finance as well. Hadoop is designed to run on a large number of machin
What is Predictive Analytics ?
Predictive Analytics is a branch of advanced analytics that employs a variety of statistical techniques such as data mining and modeling, machine learning, statistics, and artificial intelligence. These techniques analyze the historical and current data in order to make forecasts about future or unknown events. Predictive models are used in the business field to identify opportunities and risks by observing patterns found in the transactional and historical data.