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Analytics

Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.
In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions.
The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detection, manufacturing, healthcare, and government operations including law enforcement.
Predictive analytics is used in actuarial science, marketing, financial services, insurance, telecommunications, retail, travel, mobility, healthcare, child protection, pharmaceuticals, capacity planning[citation needed], social networking and other fields.
One of the best-known applications is credit scoring, which is used throughout financial services. Scoring models process a customer's credit history, loan application, customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time.

Sample Architecture


Cinque Terre

Alpine Data Labs
Alpine Data Labs is an advanced analytics interface working with Apache Hadoop and big data.It provides a collaborative, visual environment to create and deploy analytics workflow and predictive models.This aims to make analytics more suitable for business analyst level staff, like sales and other departments using the data, rather than requiring a "data engineer" or "data scientist" who understands languages like MapReduce or Pig.

Alteryx
Alteryx Designer empowers data analysts by combining data preparation, data blending, and analytics - predictive, statistical and spatial - using the same intuitive user interface, no coding required.

Apache Mahout
Apache Mahout is a project of the Apache Software Foundation to produce free implementations of distributed or otherwise scalable machine learning algorithms focused primarily in the areas of collaborative filtering, clustering and classification. Many of the implementations use the Apache Hadoop platform.

R
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

Predixion Software
Predixion Software is a software company focusing on edge analytics for connected assets. It was founded in late 2009 and is headquartered in Aliso Viejo, CA. In September 2016, the company was acquired by Greenwave Systems.

OpenNN
OpenNN (Open Neural Networks Library) is a software library written in the C++ programming language which implements neural networks, a main area of deep learning research. The library is open source, licensed under the GNU Lesser General Public License.