A CFO’s Wish List for Modern Applications Architecture

As a CFO, you need to be able to manage risk by processing financial data streaming in from all parts of the business. The volume of data inundating your business can be too much for a person to handle, particularly at the speed that is required to make practical use of insights.

The Power of Real-time Insights

If one of your business processes has become so costly that it is eating into your profits, you may be unaware of the problem until your receive a monthly report from IT. In the time between when the problem developed and when you learned of it, your business has lost thousands of dollars.

If you are able to receive real-time information instead, you can be alerted about the problem as soon as it develops. The faster you can find a way to fix the problem, the sooner you can put your company back in the black. Today’s analytic applications leverage data to gain the insights needed to make these timely and profitable decisions.

Upping the Ante on Application Performance

Business intelligence tools, automation technologies, and other large applications are becoming more sophisticated, taxing the capabilities of the data center infrastructure.

Traditionally, business analytics applications have been able to draw information from a variety of sources inside and outside of the business, which has helped with strategic planning. Today, business intelligence applications have cognitive abilities that create greater performance demands as they expand capabilities. These applications utilize advances in natural language processing, machine learning, and artificial intelligence for faster and more highly developed insights.

Armed with these additional reasoning powers, CFOs can have analytics at their fingertips. Graphic user interfaces make data easy to visualize and understand for a simplified and streamlined analytics process.

For its initiatives to be effective, your business needs the power to use applications that analyze data immediately for real-time insights.

Meeting the Challenges of Data Analytic Applications

Accessing the right applications isn’t enough to make analytics work for you. Before you can begin taking advantage of applications, you need to have a powerful infrastructure to support them.

In the past, companies have responded to the increased storage and performance needs of applications by provisioning more servers. Server sprawl, symptomatic of an ineffective infrastructure management plan, devours energy and rack space. Companies remained faithful to these legacy servers because they were reliable at the time of implementation.

No matter how many servers you add, the low thread count in x86 servers adds up to low processing power that can’t handle the demands of modern applications.

Relying on legacy servers to power your applications keeps your business from being competitive. The effort of managing and maintaining legacy servers stretches your resources. Older servers are inefficient, costing more money for poorer performance. Lag time hurts productivity and loses clients who are frustrated with response times.

Doing More with Less

If you are currently working with x86 servers, but need to accommodate your applications’ increased performance needs, you should consider newer servers that monitor the integrity of data, increase processing and memory, and accelerate input/output rates.

Our eBook, Add Power to Your Applications, gives an in-depth look at how IBM POWER8 provides a superior alternative to the legacy servers that are keeping your business from reaching its full potential. With IBM POWER8, you can break the endless cycle of provisioning lower performing servers and take advantage of the real-time and actionable insights produced by business intelligence applications.

IBM POWER8 provides an answer to the deficiencies of legacy servers by offering:

  • Lower energy consumption

  • More efficient maintenance

  • Improved bandwidth

  • Increased performance with fewer servers

Faster transactional speeds translate into improved business processes, not only from increased production, but from the insights gained through advanced business intelligence applications.