In this white paper, discover how programmers and data scientists can use SparkR to transform R into a tool for big data analytics, taking advantage of parallel processing and near-linear scaling to tackle much larger challenges than would normally be possible with other methods.
IBM test data management (TDM) services are designed to satisfy the demands of enterprises trying to take advantage of test data and environment management solutions for complex IT deployments. TDM services cater to test data discovery, subset production, masking, test data refresh, automation of
Predictive analytics has helped industries and organizations of all sizes gain competitive advantage. Further evidence of this significant trend can found in an executive summary from Ventana Research.
Meeting today’s dynamic data requirements goes beyond technology that focuses on operational capture, decision-support-oriented consumption, and data governance. Enterprise architects need to take into account a wider array of data sources and establish a performance measurement plan that tracks
Mobile computing is on the rise, and mobile document capture is the next logical step for organizations in document-intensive fields such as banking, insurance, government, healthcare and education. Mobile document capture allows employees and customers to capture documents from their point of
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it, not to mention excellent qualities of service.
Carl Olofson, an IDC analyst, looks at the role of the mainframe in relation to big data, how it has become a hub for modern day
While the issue of provisioning ever-increasing volumes of storage is nothing new, the arrival of big data is forcing IT organizations and businesses to think differently—and to think about data as a big picture, rather than simply bits and bytes.
In this paper, Mark Peters of ESG discusses how the
Understanding how IBM Infosphere BigInsights, IBM Platform Symphony and IBM GPFS FPO provide a more flexible lower cost solution for multi-tenant Hadoop deployments on System X and Power Linux platforms.
For insurance companies, the integration of big data and analytics solutions with telematics technologies offers important opportunities to extend the use of telematics data beyond usage-based insurance (UBI) and improve competitive differentiation.
Experiencing exponential growth in business, the VAASAN Group couldn’t accurately forecast fluctuating sales orders across the Nordic region.
The VAASAN Group now uses a powerful business intelligence solution that identifies trends in customer demand and generates a rolling sales forecast,
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.