Robotic process automation (RPA) relies on programming or the application of analytical algorithms to execute the most appropriate action in an automated workflow. RPA enables business users to configure a “robot” (actually, computer software) to interact with applications or data sources to process a transaction, move or manipulate data, communicate with other digital systems and manage machine-to-machine and man-to-machine interactions. This technology is gaining increasing notice by finance departments, with good reason: RPA represents an important step beyond simple process automation in that it uses software to execute routine but complex workflows that require judgment. Rather than making an individual check-off a step in a routine approval, a robotic system applies an algorithm that decides the next step. The system thus does what people spend an awful lot of their time doing every day: making judgments that most of the time could be done by a machine.
Kofax offers Kapow, robotic process automation (RPA) software used to acquire information from a range of sources without human intervention and without having to write code. These sources include websites, applications, unstructured documents, data stores and desktop spreadsheets. RPA software does repetitive, low-value work that otherwise may be performed by person. It saves time in these tasks, completing them sooner and freeing skilled individuals to concentrate on work that utilizes their skills to the fullest. One of the earliest uses of software robots was “Web crawling,” which automated rapid collection of data posted on websites, for example, prices and locations. This was the Kofax Kapow’s original purpose, but its scope has expanded. When used to gather information from multiple applications, the software precludes the need for setting up and maintaining a separate data store. This saves time and money while ensuring that the information has come from the authoritative source and that there is no latency in the data. Rather than taking the time to write a program with broad applicability, a robot can be quickly configured to perform a specific task in a way that mimics how an individual does the job.
At this year’s Global Pricing Forum, host Nomis Solutions announced the availability of its Discretion Manager software, which supports dynamic price negotiations. The annual event brings together thought leaders and practitioners interested in pricing. Nomis currently has 17 of the largest 100 banks as customers. With more customers, this year’s event had larger attendance than last year’s.
Topics: Analytics, banking, Big Data, Business Analytics, Business Performance, credit, financial analytics, Financial Performance, financial services, Nomis Solutions, Operational Performance, PRO, Sales Performance, Sales, Office of Finance
I recently attended the 2012 Global Pricing Forum hosted by Nomis Solutions, a provider of software and services to banking and finance companies. This annual event brings together thought leaders and practitioners in the area of pricing and revenue optimization (PRO). This technique uses analytics to sift through large data sets to tease out customer behavior characteristics, identify customer segments and quantify their price sensitivities. These complex calculations require software designed for the purpose, but most in the financial services industry rely on older methods that produce less-than-optimal results. Analytics can help organizations more carefully manage the process of defining offers to customers (especially the levels of discretion offered to account managers and sales people) and the terms and conditions.
Topics: Analytics, banking, Business Analytics, credit, financial analytics, Financial Performance, financial services, Nomis Solutions, Operational Performance, PRO, Sales Performance, Supply Chain Performance, Sales, Office of Finance