Optimise your strategic and operational business decisions in real-time using prescriptive analytics on BusinessOptics. Analysts can create sophisticated solutions without data science or big data engineering skills. No code required.
BusinessOptics is a prescriptive analytics solution for both real-time decision optimisation and scenario analysis.
Our platform enables business analysts, without data science or coding skills, to create sophisticated analytical models at big data scale that allow for real-time decision optimisation and automation as well as strategic decision support through scenario analysis.
It helps medium to large enterprise customers with complex businesses involving many moving parts to improve decision making, reduce costs, increase revenue and manage risk.
Sales and Customer Analytics
Obtaining and retaining profitable customers in today’s business environment is tough.
Customers’ attention spans are short, especially in the context of our age of information overload. In order to stand out, it is essential to really ‘know’ your customers, providing them with personalised offerings and expert services, both during the sales process and ongoing customer engagements. Prescriptive analytics allows you to do just that. It is about knowing your customers and making decisions that maximise customer lifetime value.
The solution naturally integrates into call centers, websites and mobile apps to automate the application of the intelligence. It’s been widely deployed across a number of industries including insurance, banking and telecommunications.
Credit Risk Management
With today’s economic climate causing consumers to be stretched ever further, effectively managing credit risk is critical to the success of any organisation exposed to retail credit risk.
The BusinessOptics credit risk prescriptive analytics solution will help your organisation manage its credit risk by intelligently optimising decisions relating to the issuing of credit, collection of debt, retention of customers and the management of capital. It will provide you with unprecedented levels of transparency within your business, as well as enable you to streamline key business processes.
BusinessOptics will reduce your risk, increase your revenue, decrease your costs and create unprecedented agility in your business.
The product has been applied in a number of industries including retail banking, micro-lending and retail consumer credit.
Logistics & Supply Chain Optimisation
The BusinessOptics Logistics and Supply Chain Prescriptive Analytics Solution can assist your business in optimising your supply chain.
By accurately modelling it across the board in a great amount of detail, simulating it into the future and optimally recommending both real-time operational decisions and longer-term strategic decisions. The recommended decisions are easily actionable and can be integrated into your enterprise systems to ensure maximum automation of supply chain processes.
By combining his actuarial, business, finance and technical knowledge Marius drives BusinessOptics to provide intelligent prescriptive analytics solutions addressing the challenges faced by modern business.
Before founding BusinessOptics, he applied his expertise implementing various actuarial and business analytics projects in a number of countries worldwide.
Marius is a qualified Actuary and Financial Risk Manager. He obtained a Bachelor of Business Science (essentially an undergraduate degree combined with an MBA) with Honours in Actuarial Science and Finance.
Brad's background in business, computer science and actuarial science helps guides the vision of a modern software company creating sophisticated solutions for modern businesses.
He previously worked within the insurance industry, building and deploying web-based ERP systems for insurance companies in Africa. Brad is an actuary with Business Science Honours degrees cum laude in Actuarial Science, Statistics and Computer Science, and a Business Science Masters degree in the applications of machine learning techniques to risk management.
James is responsible for the design of the system and overseeing its implementation.
He has previously worked in a variety fields, overseeing projects in oil and energy, automated industrial systems, computer vision and security, mobile auditing, robotics, financial systems and environmental planning systems.
He has a graduate degree in the Mathematics of Computer Science, which he obtained at the top of his class.
Prescriptive Sales and Customer Retention analytics
Logistics and Supply Chain Optimization
Prescriptive Credit Risk analytics