Blogs

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...
Analytics and the cloud: The rise of open source

Analytics and the cloud: The rise of open source

May 9, 2017 | by Steven Lockwood, Executive Information Architect, IBM
This is the fourth in a series of blogs on analytics and the cloud. Read our introduction to the series. This blog concerns itself with the rise of open source software and how it is used for a whole host of analytical purposes. However, as will be seen in this blog, there are significant gaps in...
Gartner publishes Magic Quadrant for Sales Performance Management 2017: IBM identified as a Leader

Gartner publishes Magic Quadrant for Sales Performance Management 2017: IBM identified as a Leader

May 4, 2017 | by Kevin Gray, Senior Product Portfolio Manager, Sales Performance Management, IBM
IBM SPM positioned in the "Leader" quadrant of "Gartner Magic Quadrant for Sales Performance Management 2017" for the fourth consecutive year.
The Quant Crunch: The demand for data science skills

The Quant Crunch: The demand for data science skills

May 1, 2017 | by Steven Miller, Data Maestro, Global Leader Academic Programs, IBM Analytics Group, IBM
Extreme focus has been placed on the nascent data scientist role but, in contrast, the much larger demand for data-savvy managers (1.5 million new positions) has largely been ignored by academia.
Real-time personalization with streaming analytics

Real-time personalization with streaming analytics

April 27, 2017 | by Preetam Kumar, Product Marketing Manager, IBM Analytics, IBM
Context-aware stream computing helps you become more responsive to emerging opportunities. By using innovative technologies to understand the context of data and analyze data in real time, you can put data to work.
Sales Performance Management - Vision 2017: Insights from influential analysts and thought leaders

Sales Performance Management - Vision 2017: Insights from influential analysts and thought leaders

April 27, 2017 | by Nadine Nesling, Portfolio Marketing Manager, IBM
Highlights of the key thought leaders and analysts in the Sales Performance Management space attending IBM Vision 2017.
Gartner predictions for Sales Performance Management (SPM) at Vision 2017

Sales Performance Management predictions featuring Gartner at Vision 2017

April 24, 2017 | by Kevin Gray, Senior Product Portfolio Manager, Sales Performance Management, IBM
Melissa Hilbert, a Director at Gartner Research, will be speaking in the SPM track at IBM Vision 2017 about some of the key questions and challenges lying ahead for business leaders regarding sales performance management and incentive compensation. ibm.com/vision
Big Replicate: A big insurance policy for your big data

Big Replicate: A big insurance policy for your big data

April 18, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Dwaine Snow is a Global Big Data and Data Science Technical Sales Manager at IBM. He has worked for IBM for more than 20 years, focusing on relational databases, data warehousing, and the new world of big data analytics. He has written eight books and numerous articles on database management, and...
Development lifecycles for defining the meaning and structure of the data lake

Development lifecycles for defining the meaning and structure of the data lake

April 18, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
In the past, the relationship between the different models that might be used in defining a data warehouse was a very linear one. There may have been different model artifacts used as the team responsible for developing the data warehouse progressed through the usually waterfall-type set of...