Financial Risk Analytics

Financial Risk Analytics and Fraud Analytics involves gathering and storing relevant data and mining it for patterns, discrepancies, and anomalies. These Analytics uses Machine Learning to examine and ensure all the pertinent data regarding a transaction and assigns a risk score to the transaction. Based on the risk score, the model makes a recommendation to allow the transaction, block the transaction, or ask for step-up authentication before allowing the transaction. These operations are in real-time with or without human intervention, providing the financial institution with enhanced fraud prevention without causing undue friction in the customer session.

The Fraud Analytics findings are then translated into insights that can allow a company to manage potential threats before they occur as well as develop a proactive fraud and bribery detection environment.

Using Risk Management Analytics, Lapsation Analytics, and Event Based Marketing Systems (EBM), organizations can leverage historical data for analytics consumption. The Analytics models have the ability to offer clear visibility on potential customers likely to lapse and deep understanding of factors causing their lapse.

Cash Flow Analytics is the process by which a company can track how much money is coming into and out of business. It helps predict how much money will be available to your business in the future. Predicting the cash flow in the future months assumes higher importance for planning and investing in new projects, managing customer expectations in a competitive market, paying wages, and making creditor payments.

Efficient Cash Flow Analytics helps boost vendor and employee relations. A business paying up on time is successful in building a relationship of trust with the vendor. It helps negotiate better credit terms with a satisfied vendor. It also ensures timely payment disbursement for regular expenditures, such as salaries, that keeps the employee morale high and reduces attrition.

Case study - https://www.datamatics.com/resources/case-studies/demos/cash-flow-analytics-demo 

Credit Risk Analytics helps assign a credit risk score to your customers, partners, and affiliates in the business ecosystem prior to onboarding them. It helps businesses to eliminate financial risk prior to negotiating terms and commencing business.

Credit Rating Agencies source details from public and private domains and make use of various techniques and analytical models to evaluate the standing of thousands of financial products launched by BFS entities on an ongoing basis. They use similar analytical models for ESG (environmental-social-governance) evaluations.