Predictive Analytics

Intelligently predict your business? future with real-time analytics solution that provide rapid answers from massive amounts of data with a cost-effective highly scalable architecture

Related Solutions

Analytics

Predictive Analytics
Real-Time/Streaming
Self-Service BI

In an age of more demanding customer expectations and increasingly aggressive and adaptable competitors, businesses are increasingly moving from reliance on BI analytics tools that provide a snapshot of the past to those that provide an accurate picture of the present and future. Predictive analytics is a subset of advanced analytics concerned with predicting future events via mathematical models. The central element of predictive analytics is the predictor, a variable that can be measured to predict future behavior. One area that benefits greatly from predictive analytics is pricing analysis – where models are built to successfully predict the optimal prices that customers are willing to pay for goods and services that maximize revenue over a period of time.

But predictive analytics demands an extremely robust BI infrastructure to handle the massive amounts of data and varying numbers of business users, along with the query-intensive predictive-scoring workloads.

Traditional enterprise data warehouses (EDWs) consume large amounts of cpu resources to read every byte of every row of large database tables and deliver the query results. They also require complex, space-consuming indexing and summary tables to support query-intensive workloads, and more hardware and DBA resources must be used to tune these queries for adequate performance. To solve these problems and enable predictive analytics, an analytics server is needed – one that is architected and optimized for massive data volumes and complex models.

Sybase IQ is a market-leading analytics server which enables organizations to perform deep analysis of massive amounts of data, accessed by hundreds of users requiring answers in real-time. It is positioned in the leader’s quadrant of the 2011 Gartner Data Warehouse Database Management System (DBMS) Magic Quadrant Report, and is the #1 column-store today with over 2,000 customers worldwide.

The value of predictive analytics is substantial and can be measured in terms of

Competitive advantage
Significant cost savings
Greater revenues

Sybase IQ analytics server has key architectural and technical capabilities that make it ideal for predictive analytics environments. These include:

Supports massive amounts of data	Flexible architecture allows massive scalability of data, queries, or users Ensures greater accuracy of predictive models by using full data sets rather than smaller samples Designed for speed, flexibility, efficiency, and ease of use—removing the barriers currently associated with immediate insight into massive amounts of data
Allows high-speed, real-time, complex queries	Supports complex analysis through advanced query optimization, distributed queries, and in-database analytics Can scale for highly complex and ad-hoc queries that support tens of thousands of users, hundreds of terabytes of data, and concurrent mixed workloads without any reductions in data loading & query performance Self-service analytics allows business users answers at the speed of thought
Predictive scoring/modeling	In-Database Analytics Option provides access to an extensive library of built-in numerical, statistical, and predictive analytics functions Allows analysts and quantitative staff to use massive data sets for better modeling accuracy Supports models for real-time credit scoring, inventory management, risk mitigation, churn management, fraud detection, and sales optimization across a wide variety of business
Extensive partner ecosystem	Performs analysis with all leading data mining/predictive analytics tools, including SAS, IBM SPSS, KXEN, Fuzzy Logix, Visual Numerics and others Access to a growing partner ecosystem of leading analytics and visualization tools
Price/performance optimized	Achieves performance gains of 10-1000 times via in-database analytics and query optimizer Sophisticated columnar data compression algorithms reduce storage needs from 30 to 85%, providing tremendous cost savings for associated physical storage and superior price/performance Produces superior query performance results through a unique architecture combining a column-based data structure with patented indexing and support for a scalable grid of analytic servers

Sybase’s product offerings for predictive analytics include:

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