Understanding Patterns of Expertise: Virtual Application Patterns
If you’re an executive responsible for delivering line-of business solutions to market, then you understand the challenges. Whether they take the form of code delays due to API creation, deployment bottlenecks, or challenges around rapid scaling to meet demand, all the weight is on your shoulders.
Fortunately, there are solutions that can help. In this white paper you’ll:
View IBM's privacy policy here
Businesses are wallowing in data from an increasing number of sources – both internal and external. However, turning data into actionable information becomes harder as both IT and business users try to keep up with the data deluge.
This Battlecard looks at the evolution in analytics and business intelligence solutions today, especially the bifurcation into Traditional BI vs. Exploratory Analytics, why BOTH are important, and lists three key factors that users – both business and IT – must consider when evaluating a BI solution.
Key points will include:
To get more from your IT budget, you need to get mainframe MLC costs under control - without sacrificing service delivery. This eBook presents tools and solutions to help you intelligently optimize when and where workloads run to improve efficiency and lower costs.
You'll learn how to:
Meet the demand for performance and availability with simpler mainframe monitoring.
Finding and resolving issues is critical to keep revenue-generating digital services running their best. In this paper, you’ll learn how to achieve a single, simpler view across your mainframe environment before performance and availability issues impact your business.
Read the white paper to:
By 2017, 80% of enterprises will have adopted a hybrid IT strategy composed of public cloud, on-premises and private cloud components. In an increasingly “cloud-first” era, agile, scalable infrastructure matters more than ever.
This Battlecard looks at the changing nature of business, the growing importance of data to all parts of the enterprise, and offers five key considerations when evaluating database options for tomorrow’s enterprise.
Key points will include