Blogs

#ITIQSpotlight: Trends and challenges in hybrid cloud analytics

#ITIQSpotlight: Trends and challenges in hybrid cloud analytics

June 9, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
In any successful modern organization, analytics is likely to play a central role in helping decision-makers design and execute effective business strategies. At IBM, as we work with clients across the globe, we’re seeing ever-increasing levels of maturity and confidence in data-driven business...
Ready for Data to Change Your World? Join Us in Munich.

Ready for Data to Change Your World? Join Us in Munich.

June 6, 2017 | by Rob Thomas, General Manager, IBM Analytics Platform, IBM
We’re living through the third great revolution in modern business. First came economies of scale, which we harnessed with the Industrial Revolution, the assembly line, and the creation of global markets. Second was network effects, seen most obviously in the rise of the Internet and the Web. Third...
Fast track your data

Fast track your data

May 25, 2017 | by Oliver Clark, Social Media Execution Strategist, IBM
Join our CrowdChat about developing a competitive advantage with machine learning, data governance and data science.
How to get fast insights from the right data

How to get fast insights from the right data

May 22, 2017 | by Ronan O'Connor, Digital Content Manager, Watson Data Platform, IBM Europe
Data, insights, cloud, agile, analytics. These are all terms that get thrown around a lot in technology these days. But the truth is that unless you can combine some or all of these concepts, the bottom line benefit to your business will likely not as great as you may expect.
What is optimization and how it improves planning outcomes

What is optimization and how it improves planning outcomes

May 16, 2017 | by Ryan Arbow, Product Manager, Advanced Analytics, IBM
This is the first in a sequence of blogs that looks at how Planning Analytics and Decision Optimization can help organizations go from a plan to the right plan by leveraging optimization throughout the planning process.
Charting the data lake: Model normalization patterns for data lakes

Charting the data lake: Model normalization patterns for data lakes

May 15, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
The data lake can be considered the consolidation point for all of the data which is of value for use across different aspects of the enterprise. There is a significant range of the different types of potential data repositories that are likely to be part of a typical data lake.
Rethinking the modern data warehouse: Passé or progressive?

Rethinking the modern data warehouse: Passé or progressive?

May 15, 2017 | by Michael Lock, Vice President and Principal Analyst, Aberdeen
It’s easy to be blinded (and impressed) with the rapid innovation and evolution in the arena of big data. Today’s most technically sophisticated companies have the opportunity to exploit big data tools to address mind-numbingly cool use cases and produce very enticing results. However, so many...
Sparking change: How analytics is helping global communities improve water security

Sparking change: How analytics is helping global communities improve water security

May 11, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Most of us are privileged enough to live in societies where clean water is a given. When our physicians and the media advise us to stay hydrated, it’s a simple health consideration. But in many countries, access to water is a huge issue – approximately one third of the world’s population does not...
How an evolving data ecosystem is transforming the healthcare industry

How an evolving data ecosystem is transforming the healthcare industry

May 9, 2017 | by Elizabeth Koumpan, Executive Architect, IBM
To be a differentiator, product innovation need to be done in new ways, expanding it into services and solutions.
Top 3 ways to measure the success of your analytics investment

Top 3 ways to measure the success of your analytics investment

May 9, 2017 | by Susara van den Heever, Product Manager – IBM Decision Optimization, IBM
Line-of-business (LoB) stakeholders want to know that their analytics investment will help them make better, faster, and smarter decisions, with measurable business results. But for many, measuring success from applying Machine Learning and Decision Optimization is not obvious. Learn the top 3...