Advanced analytics (Machine Learning) is the best way to exploit the opportunity presented by Big Data.
Machine learning incorporates data analyses covering predictive analytics, data mining, pattern recognition, and multivariate statistics. Only Skytree can deliver machine learning that scales to deal with ever increasing volumes of data.
Counts and Averages
Advanced Analytics (Machine Learning)
Basic analytical methods used in Business Intelligence and Enterprise Reporting Tools reduce to reporting sums, counts, simple averages and running SQL queries. OLAP is a systematized extension of these basic analytics. Applying basic analytics is restricted to human scale activities and direction – meaning a human must specify what should be calculated.
Unfortunately traditional analytics tools are not well suited to capturing the value hidden in Big Data. The volume of data is too large for comprehensive analysis. The range of potential correlations and relationships between disparate data sources, from back end customer databases through to live web based clickstreams, are too great for any analyst to test all hypotheses and derive all the value buried in the data.
Machine learning delivers on the promise of extracting value from big (and disparate) data sources. Not limited to human scale thinking and analysis, machine learning discovers the patterns buried in the data. Machine Learning runs at machine scale: it is data driven. It is ideally suited to the complexity of dealing with disparate data sources and the huge variety of variables and amounts of data involved. For machine learning, unlike for traditional analysis, the more data fed to a machine learning system, the more it can learn, resulting in higher quality insights.
Skytree makes machine learning available to the enterprise, without the need for advanced data scientist expertise. Skytree’s technology scales to handle more data, faster and more accurately than any other approach available.