Why locate analytics exactly
where your data resides?
Why locate analytics exactly where your data resides?

To compete you must be able to analyze every client interaction in real time. But how? Co-location of analysis and transactional data can transform your systems of record into systems of insight. IBM z Systems are designed for availability, tuned for flexibility and engineered for the highest levels of security – so you can gain the competitive advantage of real-time insights.

85% of data science

teams want real-time customer transaction data

Find a better solution with
real-time analytics on IBM z Systems.
Find a better solution with real-time analytics on IBM z Systems.

Uncover hidden insights

How can you gain top-line competitive advantage and reduce bottom-line expense?
Through real-time analysis of transactional data.

IBM z/OS Platform for Apache Spark 

An enterprise-grade, native z/OS distribution of the in-memory analytics engine, coupled with data access and abstraction services, provides universal, optimised data access and analysis of a broad set of structured and unstructured data sources through Spark APIs. Simplifying the analysis of big data, developers and data scientists now have the ability to combine the power of Apache Spark with the advantage of analyzing critical z/OS data in place — with no data movement.

Analytics solutions partner

DataFactZ delivers real-time analytics services and solutions for Apache Spark on IBM z/OS.

Predict behavior

How can you gain deep customer insights? By analyzing all of your enterprise data along with data from other sources – without moving the data first.

IBM DB2 Analytics Accelerator V5.1

Next-generation in-database transformation and modeling optimisation provides significant performance improvements in support of real-time, in-transaction predictive analytics by eliminating the requirement to move data off of z Systems for analysis.

Zementis for z Systems

Enables truly real-time, in-transaction predictive analysis for a wide variety of use cases by employing the Predictive Model Markup Language (PMML) standard to import and deploy predictive models from most popular tools (SPSS, SAS, R, KNIME, Python, and so on) directly into z/OS transactional applications.

More offerings for predicting behavior

High speed intelligence

How can you dramatically improve time-to-value and accuracy of business-critical reports and ad-hoc queries, at a low-cost point?

IBM DB2 Analytics Accelerator V5.1

This high-performance appliance provides extremely fast results for complex and data-intensive queries for data warehousing, business intelligence and analytic workloads. V5.1 also delivers a number of functional enhancements.

Enterprise-ready analytics and IBM DB2 Analytics Accelerator

Optimise IT with advance analytics

What if you could use analytics to improve the efficiency
of IT operations and deliver superior service?

Capacity Management Analytics V2.1

Simplify the management of applications across the data centre and optimise resource sharing. This latest release offers a variety of new reports, additional analytics, and simplified installation.

IBM Operations Analytics for z Systems V2.2

Analyze log data end-to-end from your enterprise workload and gain insights to diagnose and resolve problems more quickly. V2.2 extends search and analysis capabilities and includes alert notifications, support for Hadoop and role-based access control.

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