IBM Analytics  

Make the most of your data rich resources – bring together the data analytics  performance and functionality of the IBM Analytics PureData® System and IBM Netezza® by combining their extraordinary Data Analytics capabilities.
Embed IBM Analytics for Data Science & AI – Business Intelligence 

IBM Analytics – What it can do for your business

IBM Analytics is an Integrated Solution ifor a unified hybrid data analytics management solution providing massively parallel processing. It comprises a high-performance hardware platform and optimised database query engine software that work together to support various data analysis and business-reporting capabilities. The sub-components have been developed, tuned and tested to save setup and administration time and costs.  
IBM Analytics Helps You Do Data Science Faster

IBM Analytics – Business Intelligence driven Data Analytics Solutions 

Simplify installation, management and administration – Benefit from a data analytics warehouse that is preconfigured and performance-optimised for large volumes of data.

Drive cloud-ready flexibility – Shift workloads within a public cloud, private cloud and on-premises environment, based on your application requirements.

Better-enable your data scientist – Collaboratively analyze data using the built-in IBM Data Science Experience solution, or use existing Jupyter notebooks and bring data scientists to your organization’s data.

Gain real-time value with machine learning (ML) – Stream, analyze and learn from data sets with machine learning without explicit programming, so data scientists can develop and improve ML models on the platform where the data resides.

Access, query and analyse data across your data warehouse and Hadoop – Use IBM’s Common SQL Engine for workload portability and skill sharing across public and private clouds.

Reduce disruptions by scaling out incrementally – Scale out compute power and storage in-place and reduce disruptions to your analytics systems.

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