WHITE PAPER:
This white paper demonstrates how adopting ICD-10 and EHRs can provide information that would be useful to streamlining administrative burdens that plague both health plans and providers.
PRESENTATION TRANSCRIPT:
Smart Meters are going to generate enormous amounts of information- managing all the data and making sense of it is going to be a huge challenge for the energy companies. Access this presentation transcript to examine what this will mean in practice for the energy companies and how they are approaching such a challenging project.
PRESENTATION TRANSCRIPT:
Review this presentation transcript to learn how to eliminate siloed information, automate business processes and improve decision making with a service-oriented architecture (SOA), enhanced data services, and a business rules management system (BRMS).
WHITE PAPER:
The demand for greater ecommerce capabilities is growing leading CIOs and IT professionals concerned with choosing the perfect vendor. Through this in-depth vendor analysis by Gartner, uncover the top 6 questions you should ask and the strengths and weaknesses of the top 20 e-commerce vendors.
WHITE PAPER:
Integrated Service Management offerings from IBM are designed to help managed service providers (MSPs) accelerate growth by supporting cost reduction programs, service delivery excellence, and the enablement of new and innovative business models such as cloud-based services.
CASE STUDY:
This exclusive case study explores how one government department transformed their IT infrastructure by streamlining contracts to improve performance and productivity. Learn how they were able to design a new services framework model to provide access to supplier services and enhance collaboration.
WHITE PAPER:
Business and IT leaders are under pressure to make more intelligent decision and more accurate estimates – making effective predictive analytics a top priority in today's business world. Read this paper to learn about a next-generation unified decision-support environment that can simplify the analysis of past, present, and future data.
