Increasing efficiency is a major consideration when it comes to predictive analytics.

Financial services companies achieve more effective operations with predictive analytics

While all businesses have to contend with risk management to some degree, it's especially vital in the world of financial services. Anticipating and understanding potential hazards and setbacks, and then acting accordingly, are essential elements for building positive relationships with clients and furthering the mission of a financial services organization. Predictive analytics can offer businesses in this industry substantial enhancements to their current ability to assess and manage risk. Business intelligence software offers actionable analysis that allows staff to build strategies for internal processes and client-facing concerns, ultimately leading to more successful operations.

Gaining an edge through effective analysis
One interesting aspect of the power of predictive analytics, the ability to reduce unnecessary costs, was highlighted by the IBM Big Data & Analytics Hub. While many discussions about predictive analytics tend to center around making improvements that lead to increased returns, the process also offers plenty of avenues to make businesses more efficient.

"Predictive analytics offers plenty of avenues to make businesses more efficient."

On a basic level, predictive analytics makes the process of deriving meaning from information – perhaps more central to success in the financial services industry than any other element – a more focused, concentrated and fruitful effort. Instead of trusting this important process to basic, limited software and manual analysis by individual staff members, business intelligence software removes many of the potential issues with human error and missing relevance in the connections between different pieces of information.

In turn, the analytical process becomes more accurate and is less of a drain on resources. That improvement also pays off by reducing the costs associated with the many analytical processes required in the industry. Employees are then free to focus on areas where high-level considerations or a human touch are needed. Just as importantly, they can provide better service to clients, whether directly in roles that have customer contact or through the work they do to identify and act on opportunities and risks.

Aviana understands the many ways in which predictive analytics helps businesses in the financial services sector assess risk, make accurate predictions and provide customers with the best results possible. Improvements in everything from assessing the credit-worthiness of potential new customers to fraud detection and analysis are possible with predictive analytics and the right strategy. To learn more about our work with companies in the financial services industry, visit our dedicated industry page.

This entry was posted in Predictive Analytics by Mark Ishikawa.
Mark Ishikawa

About Mark Ishikawa

Mark Ishikawa is a managing partner with Aviana managing all sales and marketing activities. Mark is a successful and seasoned sales and marketing executive with over 16 years of strategic solution selling, team building and executive positioning in the enterprise solution and consulting industry. Mark’s most recent position since joining Aviana was a Partner with Ineum Consulting where he was responsible for growing the business with aggressive revenue targets as well as customer acquisition of new business. He also worked to improve the firm’s people development and retention while being responsible for recruiting and development of all staff. Mark enjoys coaching youth sports, playing golf & traveling. Mark and his wife live in Orange County, California with their three boys.