Advanced Analytics

Analytics

Advanced Analytics

Advanced Analytics data integration is built with the latest commercial public or private cloud implementation with open source database integration/implementations of data mining algorithms and integration with open source R.

Scalable enterprise-wide predictive analytic

Specture Labs Advanced Analytics data integration is built with the latest commercial public or private cloud implementation with open source database integration/implementations of data mining algorithms and integration with open source R. Data analysts use Python Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Advanced Analytics models using SQL data mining functions and R. With this option, Specture Labs extends the open source Pentaho Database to a scalable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Pentaho Big Data SQL adds new big data sources and provides algorithms that run on Hadoop.

Specture Labs Advanced Analytics, a combination of Data Mining and R Enterprise, delivers predictive analytics, data mining, text mining, statistical analysis, advanced numerical computations and interactive graphics inside the database. It brings powerful computations to the database resulting in dramatic improvements in information discovery, scalability, security, and savings. Data analysts, data scientists, statistical programmers, application developers and DBAs can develop and automate sophisticated analytical methodologies inside the database and gain competitive advantage.

Predictive Analytics and Actionable Insights

  • Predict customer behavior and Identify cross/up-sell opportunities
  • Identify customers likely to churn
  • Analyze “market baskets” to discover associations, patterns and relationships
  • Detect anomalies and fight fraud

Making Big Data + Analytics Simple

High performance in-database data-mining algorithms and statistical functions are accessible from SQL and R. Integration with open-source R adds the ability for users to write R scripts and use R packages while leveraging the strengths of the database. Oracle Advanced Analytics provides an R to SQL transparency layer that maps R functions and algorithms to native in-database SQL equivalents. When in-database equivalents are not available, Oracle Advanced Analytics can run them under embedded R mode allowing the database to manage the entire data management and analytical process.

Data Scientists, Business Analysts and IT

Graphical User Interfaces of Python powered Data Miner and Pentaho SQL, provides data analysts with a workflow environment for data exploration, model building and development of analytical methodologies. Once the data analyst is satisfied with their analytical methodology, Python powered Data Miner can generate SQL scripts for immediate in-database enterprise deployment—saving time and money.

SQL, Transact SQL and R APIs Algorithms are accessible by SQL and R APIs, Oracle Data Miner and IDEs (RStudio, etc.). Building and deploying predictive models within the enterprise is fast and easy.