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Business transformation hinges on organizations being able to convert raw data into actionable and timely insights.

Easier said than done, right?

For many businesses, it is hard to put this into perspective. With so much data at our fingertips, it can be challenging to sort through all the clutter data and define what can be effectively used as one’s business might demand.

But it is far from impossible. IBM Analytics has a solutions suite that can fit the toughest of data needs. What are the 5 stages to get there? Let’s dive in:

1) Modernize

Get your data ready for artificial intelligence and hybrid cloud with the Cloud Pak.

2) Collect

Make your organization’s data simple and accessible in the cloud with warehousing, hybrid data management, and SQL tools.

3) Organize

Create an analytics foundation that is ready for business with Watson, InfoSphere, and StoredIQ.

4) Analyze

Use trust and transparency to scale AI usage with SPSS, Watson Studio, and Watson Machine Learning.

5) Infuse

Artificial intelligence can be operationalized through business solutions such as Cognos Controller and other Watson tools.

To find out more about how to use data and artificial intelligence to deliver fast and reliable insights, click the link below for more information.


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