Infogix’s workforce analysis tools will help you optimize your internal processes
Identifying inefficiencies and gaps in a complex business process can be a daunting exercise, especially when simplifying and identifying the highest value areas where automation can yield process improvements. The challenge is to produce a business plan that streamlines the workflow comprised of revolutionary efficiency gains and not just incremental improvements.
Optimizing Workforce Using Analytics
Optimizing the workforce using predictive analytics will view the problem from a new perspective by analyzing a multitude of variables that is larger than the human mind can synthesize. This form of advanced analytics:
- Optimize business processes by identifying the possible outcome of a given task even before it has been processed
- Automating decisions for routine activities where the outcome of a task doesn’t require manual human interaction
- Allocates tasks based on skills by mapping skills to possible disposition of task
- Prioritizes tasks based on estimated effort and complexity to proactively allocate resources
- Reduces time and effort for task disposition by identifying tasks that can be processed in a shorter time
- Produces faster service to customers and improved satisfaction through analysis of activities that can be optimized
Automating decisions for routine activities
Conventional processes often begin in an optimized state, but over time grow into a patchwork quilt, as workarounds and new procedures are patched onto an existing process. Processes that started out working efficiently become a tangled web of workflows that no longer follow the original intent of the business processes and subsequently present opportunities for re-engineering to remove process inefficiencies.
Applications of Workflow Analysis
Workforce optimization is achieved through workflow analytics to reduce cost in a business process through workflow optimization. Infogix works in many data intensive industries ranging from healthcare, financial services, P&C/Life Insurance, and media and communications, all of which have manpower intensive activities where predictive analytics can help with optimization of people and resources. Areas such as claims, customer service, retention, marketing/customer acquisition, fraud, and risk and compliance are a sample of application areas that can derive significant benefit from process improvements to reduce cost and improve customer satisfaction.
The Enterprise Data Analysis Platform
Take for example a large banking client that Infogix worked with to improve the prediction of incoming claims. The objective was rather straightforward to predict the outcome for claim resolution and improve operational efficiency. Infogix’s PropensitySCORING® predictive analytics was used across many years of historical data to train and refine the analytics models. Data was compromised of both structured and unstructured data. Unstructured data consisted of information in memo and notes fields. The outcome of the analysis was predicting claims with greater than 80% accuracy and through post implementation 25% less resources were required for the same workload. This is just one example of the power of using workflow analytics to remove cost from the process and improve customer satisfaction. The question to ask yourself is which complex process in your organization can value from workflow analytics.