IBM Integrated Analytics System - Details - United Kingdom

Run analytics faster

Icon representing the ability of the IBM Integrated Analytics System to simplify the installation, management and administration of your analytics

Simplify installation, management and administration

Realize the benefit of using a data warehouse that is pre-configured and optimized 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.

Icon representing the ability of the IBM Integrated Analytics System to collaboratively analyze data using the built-in IBM Data Science Experience solution

Benefit from IBM Data Science Experience

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.

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Gain real-time value with machine learning

Stream, analyze and learn from data sets, without explicit programming, so your data scientists can develop and improve machine-learning models on the platform where the data resides.

Icon representing the ability of the IBM Integrated Analytics System to access, query and analyze data across your data warehouse

Access, query and analyze data across your data warehouse and Hadoop Common SQL engine

Use IBM Common SQL Engine for workload portability and skill sharing across public and private cloud.

Icon representing the ability of the IBM Integrated Analytics System to scale out compute power and storage, reducing disruptions through incremental scaling

Reduce disruptions by scaling out incrementally

Scale out compute power and storage in place to reduce disruptions to your analytics systems.

Use cases

Better integrate your data

Problem

Aggregate siloed data across the organization.

Solution

Use a logical data warehouse with Hadoop, data marts or other associated deployments that interact and offer a unified view of your data — on premises or in the cloud.
Enhance customer interactions

Problem

Drive personalized and timely customer interactions.

Solution

Create personalized customer experiences in real time by using your internal data with analytics that yields high performance and simplifies scalability.
Speed time to innovation

Problem

Improve time to market for new product and process improvements.

Solution

Use embedded machine learning to accelerate performance on complex analytics and deliver insight more quickly to your data users.
Improve processes

Problem

Meet growing requirements for operational and process improvements.

Solution

Build analytics for different data types and sets using virtualization and federation to unify data access across the logical data warehouse, the cloud and Hadoop.