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Absa Bank modernises credit risk management reporting

Absa Bank has partnered with SAS to modernise its credit risk management infrastructure. The credit risk management system – built on SAS Viya, the company’s data and AI platform, and running on Amazon Web Services (AWS) has reduced reporting cycles by 80% to 90% -...

AI confidence starts with trusted data

Organisations are moving quickly from AI ambition to AI use cases. Employees are already using AI tools in their daily work, while leadership teams want practical ways to improve efficiency, customer experience, decision-making, and competitiveness. “AI confidence...

The biggest opportunity in AI isn’t replacing jobs. It’s removing repetition

Artificial intelligence (AI) has become one of the most talked-about technologies in business, but somewhere along the way, the conversation changed. By Thabang Chukura, founder and CEO of GenerEd and CEO of CMPNY The promise of AI was never simply about replacing...

From fragmentation to integrated decision-making

The impact of market movements can be significant. A rate change can start with deposit pricing, change customer behaviour and funding mix, and then impact up in liquidity, net interest income, credit risk, capital planning, and strategy. By Martim Rocha, senior...

Predictive data set from TransUnion

In tough times, credit lenders face increased risk, negatively impacting profitability. To meet the market’s need for improved risk management, TransUnion has bolstered its Bureau Credit Characteristics (BCC) suite with the introduction of BCC Format 700 variables. BCC Format 700 variables is the next-generation of consumer credit profiling data tools that is highly granular, offering more than 3 400 variables across 19 refined industries to increase risk predictability.

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Big data answers ‘what if’ questions

Almost any definition of big data is based on Doug Laney’s original preposition of the three Vs – velocity (the data is growing rapidly), variety (the data comes from many sources – both structured and unstructured) and volume (the data is big), says Gary Allemann, MD of Master Data Management. However, there are challenges with the three Vs definition for big data. Furthermore, many organisations believe that big data is business intelligence (BI).

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