"With IBM’s business automation and AI, we helped the client move from a labor-intensive, manual process to a streamlined, intelligent workflow—freeing employees to focus on higher-value work."
"IBM Watson Campaign Automation has enabled us to build segmented buyer personas and achieve 70 percent open rates among our loyalty card holders."
"Within the DVLA, the CIE initiative is seen as a model for future projects: it achieved everything it set out to do, and IBM helped us to deliver it ahead of time and below budget."
"We have traditionally been very good in reactive reporting. Now, the big area that has been the trigger for analytics has been within the predictive maintenance area."
"Today, it’s hard to imagine running the business without the help of IBM Analytics and Aviana."
"Real-time analysis helps us make contingency plans for different situations – for example, a sudden rise in oil prices, or a closure of a major port – enabling us to adapt our shipping schedules accordingly."
"The jStart team helped us understand water purchases at an individual level. This gave us a much deeper level of insight than we ever had before."
“Different communities have different needs, so there’s no single model that will work in every situation. For example, in some cases, you can power a water pump from the grid; in others, you need to look at different options such as solar-powered pumps or fuel-powered generators. And from a financial …
“IBM Analytics helps us improve transparency and accountability—showing our donors how effectively we are stewarding their gifts, and what a difference we’re making to people’s lives.”
"Planned and proactive maintenance enable us to make smarter risk-based decisions about our assets."
“Cognitive search will not only find you the perfect hotel but present it in the perfect manner.”
"IBM Analytics gives our cadets excellent preparation for exciting careers in operations research."
"Why look at something like Tableau, if we already have that functionality in the new version of Cognos Analytics?"
“We can now analyze a huge amount of data in an instant, without having to go through a tedious data-conversion process. Our new way of working is definitely taking the frustration out of analyzing our data.”
“At the moment, we are accumulating a wide range of mobile logs in our data aggregation infrastructure. It may become necessary to reorganize our infrastructure into two systems: a database for a long-term analysis of large-scale archive data, and a data mart for real-time pattern detection in streams of data. …
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