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The amount of data out there continues to grow exponentially, with the International Data Corporation (IDC) forecasting that the global volume of data will increase from 130 to 40 000 exabytes (40 billion terabytes) by 2020. To ensure accurate insights, one must be aware of best practices for managing big data in the financial environment. Additionally, the speed at which data is analysed and interpreted is essential as there are a number of competitors going through the same exercise. Big Data enable banks to deliver performance management platforms to drive productivity and service delivery at operational centres.
While 63% of banks globally recognise the competitive advantage that Big Data provides, only 9% can actually capitalise on the area by employing the right skills sets. While many large corporates in South Africa, as well as Africa, have the infrastructure in place to handle Big Data, a survey by Strategy Worx shows that many of these organisations do not use Big Data and analytics in any significant manner. Studies have shown that banks that effectively use Big Data to focus customer analytics show a 4% gain in market share over competitors. NewsletterWould you like to receive the latest African technology news and analysis delivered to your e-mail inbox every morning? Follow these eight easy steps for planning and then following through on your flawless meeting.


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The concept is to take two benefits of a product or service and combine them to create one item that morphs into another. I also oversaw much of the junior designers’ concept development and illustration in my role as art director.
The age of “Big Data” has begun to slowly filter through into the banking environment, with banks being able to design customer-centric solutions using statistical models and information gathering techniques. The term refers to large amounts of complex information, which often contain a variety of facts, generated at high speeds, and can sometimes be inconsistent.
Big Data is important for financial institutions as our customers have ever increasing demands from us. For example, analytics departments should focus on key business problems faced by their employer to maximise the effort and resources given to solving a problem. Lastly, being able to understand the customer allows better credit risk management – ranging from granting of facilities to mitigating fraud. In South Africa, this number is much lower, with only 38% of corporations across all industries having achieved a competitive advantage of using big data. According to a survey by Microsoft and Celent in 2013, only 37% of financial banks internationally have practical experience in using Big Data.


To ensure the leading edge amongst our competitors, the FNB Business Analytics department brings together Big Data, research and strategy across various product and functional areas to enhance customer experience. For example, your bank has data on the products that it currently holds for you, along with your transaction behaviour. To acquire and retain customers, teams of individuals, called data scientists, have to develop means of optimising revenue for the bank as well as the customer.
Perhaps the worst hurdle to overcome relates to data integrity – often banks do not have accurate data on their customers as much of this is user inputted, leading to basic errors which cause complex problems. Lastly, to ensure robust prediction models, one should allow for a variety of data to be used to stress test those models in a practical setting. Big Data allows more personalised approaches to selling products that are best suited for the customer and are timed correctly.
This number is considerably lower when one considers banks in emerging economies along with many traditional banks adopting silo approaches instead of pooling data from the entire organisation. These data scientists sift through large amounts of information to offer meaningful insights that can guide, and sometimes drive, business strategy.
This translates to higher acceptance rates, streamlined infrastructure costs and increased customer satisfaction and bank profitability. Secondly, being able to proactively resolve service delivery issues remains critical for a bank to minimise resources and costs.



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