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Integrating Credit with Micro Focus
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - API Integration & Management
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries
- Professional Service
- Software
Applicable Functions
- Business Operation
- Quality Assurance
Services
- Software Design & Engineering Services
- System Integration
The Challenge
A significant challenge with their existing stack was the disparate systems with master customer data across different platforms. Different components worked independently of each other and thus had little interaction with each other. Their collectors had a vendor automation solution in place and the credit team had a non-integrated in-house system. These worked separately with no overlap and this caused significant problems for them: Fragmented Credit Analysis: Micro Focus’s credit analysis was faulty at best due to its inability to predict customers’ risk and behavior patterns. Improper data storage and logging also meant much of their time was wasted just on finding said data. Limited Data Visibility: The company’s analysts had little visibility into their operations due to the way it was stored and spread out. This lack of clarity led to duplication of efforts as analysts had no idea whether a customer had been contacted or not or which ones were higher risk. Separate Reporting and Tracking across Different Systems: Having separate systems for storage and data tracking meant that anyone looking for a customer status or report would have no means of knowing where to look for it. Disjointed storage also meant that errors, if made, were seldom rectified as there was no way of cross-referencing data. No Centralized Repository for Data from Acquisitions: The company lacked a way to allow teams to access data freely. This caused delays in their operations as information could not be shared or moved around easily. This problem also added to the company’s issue of transparency because it hindered inter-team communication. Data Migration for Storage and Reference: Micro Focus faced issues with integrating data in their system; they wanted a way to do this easily. Credit exposure also wasn’t being reflected correctly due to issues with their data feed.
About The Customer
Micro Focus International Plc is a British multinational software giant dealing with information technology in software and consulting. Based out of Berkshire, England, they manage a workforce of over 14K employees worldwide, catering to the needs of over 40K customers across the globe.
The Solution
With the Credit Cloud solution’s help, Micro Focus saved manual effort and time while improving their operations significantly. Using the Credit Cloud solution, they were able to get: Easy customer credit validation based on the data available for both new and existing customers. Complete credit risk-analysis in real-time through API integration between order booking and credit stage. Ability to manage complex customer hierarchies proactively through CRM and D&B integration. Cascaded credit limit for proportional distribution among parent-child companies. The Credit Cloud solution brought visibility in the form of dashboards that they could use to track employee productivity and prioritize which customers were at credit risk. It also allowed execs to supervise their teams and ensured ownership. A primary benefit to using the solution was predictive payment analysis which went through the customer’s payment behavior and assessed whether they were creditworthy or not. The Solution - Credit Cloud To overcome their challenges, Micro Focus required a solution that would help them organize. Micro Focus used HighRadius’ solution to help combat these problems and bring efficiency and productivity to the workspace. Elimination of Manual Work with Automated Extraction of Credit Data: The solution was able to automate a large section of the analysts’ role and reduce manual effort by aggregating data. The solution could automatically pull data regarding customers and analyze it for credit risk. Increased Visibility with Consolidated Dashboards: The solution provided increased visibility into their processes. It was able to show all data related to a customer on a single system, which allowed analysts to find information easily. It also provided a complete view of what was required to be done when. Seamless Integration: The solution could easily integrate with existing systems and was able to provide functionality quickly. Assigned Work Lists and Reviews with Real-Time Credit Risk Monitoring: The solution was to proactively assign work lists for analysts and pull up data that needed to be reviewed with a click. It also helped in analyzing payment trends to classify and set credit limits for customers could have visibility into KPIs and easily track team productivity.
Operational Impact
Quantitative Benefit
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