WiSE
Use advanced analytics to understand in real time how to manage Credit Risk. Utilise a framework of structured and unstructured data for advanced decision making through valuable credit risk models.
Use advanced marketing analytics to automate and optimise an increasing number of marketing decisions and processes, based on statistical techniques and machine learning models.
Deliver a benefit critical to success; determine what is likely to happen in the future, utilising embedded reporting logic to support decision making.
Extend financial institutions’ current analytics ecosystem by incorporating their formulae to utilise a new way of advanced modelling. Go beyond traditional reporting business intelligence tools by offering a tool for advanced analytics for better business outcomes, using data driven decision making.
Utilise all provided features available as APIs optimised for data scientists to embed advanced analytics into their ongoing project. Free up valuable time to focus on application building instead of writing, testing, and assessing algorithms.
Become attached to the core emotion; utilise the desired reporting through a frictionless, plain, responsive UI that is easily understood and simple to use with every device. Have your data at your fingertips whenever you need it.
Use all the provided functionality, or specific features in a modular manner, according to financial institutions’ particular needs. Find how easy it is to use, because it is designed and optimised for business users, not for specialised data scientists and data miners.
