What five ongoing challenges often face companies who are planning to move data to the cloud? Learn how to rescue your data while increasing efficiency, reducing costs, meeting regulations and reducing risks.
Organizations today have tremendous opportunities to transform their professions, businesses and industries. They must optimize their use of advanced analytics and capitalize on all available data. With the right solutions, they can gain clarity about their business, generate new insights and take
Data is flowing from mobile devices, social networks, and every digitized and connected product, machine and infrastructure. And all this data has potential for insight. Companies who are becoming data-driven are propelling themselves into the cognitive era. As Cognitive Businesses they will
From retrospective to predictive to prescriptive analytics, healthcare organizations are embarking on analytics journeys to enhance medical outcomes and create cost efficiencies. Where are you on your healthcare analytics journey?
Fair or foul, each day's weather has an undeniable effect on retail businesses. But now, thanks to powerful analytics, retailers have more accurate forecasts to help mitigate the consequences of bad weather, take advantage of good weather and get deeper insights into their customers’ buying
Each week over 1 million people move into a city. Never before have the requirements for protecting citizens, property and infrastructure from harm been more pressing. Sophisticated, applied technology can yield insights that shorten the cycle from incident to resolution.
IBM Analytics solutions enable healthcare organizations to connect disparate information into a single trusted view and deliver insights into data. The industry-leading accuracy and performance of IBM InfoSphere Master Data Management is at the heart of a big data & analytics strategy. Armed
Data is growing at an accelerated pace and users are demanding better access to data, but business users grab what’s available, not what’s best.
Learn more about data refinement and evolve the way the world works with data.
Machine data is all around us: logs, sensors, GPS devices and meters to name a few. The enormous growth of machine data has become a major driver of big data solutions and a challenge for many organizations. The complex and diverse nature of machine data leaves many organizations unable to leverage