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THE DATA ANALYTICS BLOG BY PRINCIPA A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears AFFORDABILITY AND THE NATIONAL CREDIT AMENDMENT BILL Affordability and the National Credit Amendment Bill 2 “The National Credit Regulator maypublish guidelines proposing evaluative mechanisms, models and procedures to be used in THE DATA ANALYTICS BLOG BY PRINCIPA Jaco, CEO of Principa, has over 26 years of experience in the financial services industry specialising in Insurance, Retail and Banking. He is an analytical technologist at heart with a track record of delivering innovative business solutions over a wide geographical region from South Africa to the Middle East and Europe. He serves as leader, motivator and imagineer to one of the finest IFRS9 EXPECTED CREDIT LOSS (ECL) MODELS FOR RETAIL LENDING A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears MASTERING THE SWISS-ARMY KNIFE OF BUSINESS SOFTWARE: THE A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears HOW TO CHOOSE A SCORING ENGINE December 9, 2015 at 9:58 AM . Introducing scoring into your business, means the adoption of a reliable and feature-rich scoring and segmentation engine that can calculate predictions or make recommendations that will minimise risk and maximise return on investment. T his guide will identify critical features and nice-to-haves when assessing a scoring engine. USING PREDICTIVE ANALYTICS FOR RETAIL CAPACITY MANAGEMENT A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears HOW DOES DATA ANALYTICS HELP DEBT COLLECTION? A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears THE DIFFERENCE BETWEEN A LIVE CHAT AND A CHATBOT A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears PRINCIPA - DATA ANALYTICS & DATA SCIENCE CONSULTING Principa is a data analytics company based in South Africa. Let us help work wonders with your business data by predicting customer behaviour, retaining profitable customers & reducing credit risk. THE 4 TYPES OF DATA ANALYTICS A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears 5 WAYS TO IMPROVE COLLECTIONS IN 2020 A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears WHERE TO LEARN DATA SCIENCE SKILLS IN SOUTH AFRICA A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears EIGHT QUESTIONS ON THE GINI-COEFFICIENT A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears WHAT DOES THE FOURTH INDUSTRIAL REVOLUTION MEAN FOR YOUR A new trend that the fourth industrial revolution has created is the development of technology-enabled platforms which fuse the demand and supply to deliver a new way of consuming goods and services. This brings forth an industry of “sharing” platforms (think Uber, Waze, or UmbraCity !) which utilises people, assets and data in a mobile WHAT IS SCORECARD MONITORING AND WHY IS IT SO CRITICAL? A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears HOW WILL THE 4TH INDUSTRIAL REVOLUTION IMPACT JOBS A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears KNOW YOUR DEBIT ORDERS: THE GAME IS CHANGING. SO SHOULD Know Your Debit Orders: The Game Is Changing. So Should Your Strategy. South African credit providers are heavily reliant on debit orders as a payment channel. According to the Payments Association of SA (PASA), around 48 million debit orders get processed monthly HOW DOES DATA ANALYTICS HELP DEBT COLLECTION? A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears PRINCIPA - DATA ANALYTICS & DATA SCIENCE CONSULTING Principa is a data analytics company based in South Africa. Let us help work wonders with your business data by predicting customer behaviour, retaining profitable customers & reducing credit risk. THE 4 TYPES OF DATA ANALYTICS A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears 5 WAYS TO IMPROVE COLLECTIONS IN 2020 A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears WHERE TO LEARN DATA SCIENCE SKILLS IN SOUTH AFRICA A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears EIGHT QUESTIONS ON THE GINI-COEFFICIENT A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears WHAT DOES THE FOURTH INDUSTRIAL REVOLUTION MEAN FOR YOUR A new trend that the fourth industrial revolution has created is the development of technology-enabled platforms which fuse the demand and supply to deliver a new way of consuming goods and services. This brings forth an industry of “sharing” platforms (think Uber, Waze, or UmbraCity !) which utilises people, assets and data in a mobile WHAT IS SCORECARD MONITORING AND WHY IS IT SO CRITICAL? A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears HOW WILL THE 4TH INDUSTRIAL REVOLUTION IMPACT JOBS A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears KNOW YOUR DEBIT ORDERS: THE GAME IS CHANGING. SO SHOULD Know Your Debit Orders: The Game Is Changing. So Should Your Strategy. South African credit providers are heavily reliant on debit orders as a payment channel. According to the Payments Association of SA (PASA), around 48 million debit orders get processed monthly HOW DOES DATA ANALYTICS HELP DEBT COLLECTION? A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears CALL CENTRE SOLUTIONS Data analytics offers the solution to optimise your call centre strategy, improve your profits and increase your business revenue. Businesses often get trapped in their operational world. And whether you are implementing a new strategy or needing to streamline an existing one, data-driven call centre solutions are essential inoptimising your
CREDIT RISK SOLUTIONS Credit Risk Analytics. Use data-driven insights to minimise risk and maximise profitability across the credit lifecycle. We've spent more than 20 years helping blue chip companies in Africa, Europe and the Middle East leverage the power of data analytics to optimise COLLECTIONS SCORECARDS Credit Risk Analytics. Use data-driven insights to minimise risk and maximise profitability across the credit lifecycle. We've spent more than 20 years helping blue chip companies in Africa, Europe and the Middle East leverage the power of data analytics to optimise THE DATA ANALYTICS BLOG BY PRINCIPA A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears AFFORDABILITY AND THE NATIONAL CREDIT AMENDMENT BILL Affordability and the National Credit Amendment Bill 2 “The National Credit Regulator maypublish guidelines proposing evaluative mechanisms, models and procedures to be used in SHIFT HAPPENS: TOP TIPS ON SCORECARD RE-ALIGNMENTS A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears HOW WILL THE 4TH INDUSTRIAL REVOLUTION IMPACT JOBS A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears KNOW YOUR DEBIT ORDERS: THE GAME IS CHANGING. SO SHOULD Know Your Debit Orders: The Game Is Changing. So Should Your Strategy. South African credit providers are heavily reliant on debit orders as a payment channel. According to the Payments Association of SA (PASA), around 48 million debit orders get processed monthly THE DATA ANALYTICS BLOG BY PRINCIPA Jaco, CEO of Principa, has over 26 years of experience in the financial services industry specialising in Insurance, Retail and Banking. He is an analytical technologist at heart with a track record of delivering innovative business solutions over a wide geographical region from South Africa to the Middle East and Europe. He serves as leader, motivator and imagineer to one of the finest IFRS9 EXPECTED CREDIT LOSS (ECL) MODELS FOR RETAIL LENDING A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics (e.g. age of applicant, number of dependants, time spent in current job) and credit bureau data (e.g. number of personal loans registered to applicant, worst arrears__Menu
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