We’ve searched for quality speakers with industry-relevant knowledge and experience who will educate you and provide you with valuable insights. Sessions will be facilitated by renowned speakers, tech and business experts, Michael Jackson and Ryan Hogarth.
Your Riskiest asset.. new joiners!
Johan Du Pisanie - ABSA: Portfolio Manager: Everyday Banking
Over the last 5 years, Johan has guided 5 students to the completion of their Master’s Degrees through industry projects. These students were as fresh from university as one could get. They have a great deal of theoretical knowledge, however this needed to be put into practice. Over the course of these projects Johan learnt a number of lessons on how to:
1. Get them going in the workplace,
2. Help them fit in, but
3. Also preserve their uniqueness, so that one can
4. Extract fantastic value from them!
Johan will be sharing these lessons in a story-telling format to the audience, whilst putting it up against the backdrop of how the world has changed, especially with a focus on millennials.
The effect of sport sponsorship on shareholder value – a quantitative study done on the JSE and how this relates to discovering the power of data and the strategic link to loyalty.
Dr Sonja Fourie - Head: ABSA Rewards and VAS, ABSA
Sponsorship is a major contributor to income in the South African sports arena, and is a critical component for allowing sports unions to remain financially viable and sustainable. Sports sponsoring companies, however, have long questioned the financial returns generated from these ventures. The purpose of this paper/presentation is to provide a deeper understanding on whether financial returns of companies with sports sponsorship in South Africa are significantly different to those without. This research was conducted on Johannesburg Stock Exchange (JSE) listed companies that sponsored sport consistently between 2000 and 2015 for a period of two years. A quantitative methodology was employed whereby share price, revenue and earnings growth were analysed, comparing firms that did not adopt strategies involving sports sponsorships to those that did.
Doing Business in Africa
Dr Rutendo Hwindingwi
Premise of the presentation entitled “Small data in a big data world”.
Ahmed Karolia - Analytics, FNB
We all know how amazing big data and its infinite applications can be, but what do you do when you don’t have data? Ahmed’s talk will draw upon experiences from credit analytics in the rest of the continent, where the economics and time frames behind rigorous data capture doesn’t always work out. How to shift and regress your mindset in a way which promotes progression when you need to play catch up with the more expansive analytics happening elsewhere. The need to use efficient statistical techniques with what you have, while also laying foundations for a data-driven future. Should you have a small data handbook which promotes best practice in environments with sparse or low-quality data? This talk is what we have been using to build foundations and 1st generation versions on the continent.
Using proprietary data, analytics and Google Earth to pinpoint your ideal customer base.
Vihaan Jansen van Veuren - Strategic Consultant, Compuscan
Have you thought about how your consumer data can be used to predict where next you should open a new branch or if you should be marketing in a specific area? Traditionally, market penetration, prospecting, and business expansion strategies are expensive, laborious, and not always accurate/predictive. The financial risks associated with targeting the wrong consumer in the wrong location can impact a company significantly. Additionally, trying to determine where there is high density of profitable customers in terms of (i) spend capability, (ii) credit standing and (iii) propensity to shop in your store, is almost unobtainable for many companies. Vihaan will take you on a geographical journey to illustrate how consumer data, population data, statistical modelling and Google Earth can be used to plot ideal locations for companies looking to expand their geographical footprint, to identify the best locations and consumers for targeted marketing or prospecting, or to provide insights for business development decisions.
Leveraging HumInt to assist organisations in using existing employee data to be more proactive in addressing fraud prevention and corruption.
Jenny Reid - Director, iFacts
Costing in excess of $4 trillion, fraud has a major impact on global and local economics. Despite all efforts to reduce the prevalence of fraud, this criminal practice is still rife within multiple levels of society, but especially in business. We all need to be active in the prevention of fraud and associated risks; however, many companies aren’t even aware that they have the data to do so. Human Resource departments sit on a large amount of data gathered through interpersonal contact, also known as Human Intelligence (more commonly, HumInt). This information, in conjunction with fraud prevention departments or consultants, can be analysed and transformed into strategic intelligence to assist companies in addressing the risks that they face. Through the advancement of technology and predictive analytics, Artificial Intelligence-based HR applications are able to analyse employee data, predict behaviour and diagnose fraud, thereby becoming more powerful and capable resources. By using statistics and cases studies, Jenny will highlight how using HumInt, you and your HR departments can understand the enemy from within (e.g. fraudulent applicants), and how you can minimise risks and losses to your organisation.
Customer centricity: How to put the consumer back in the middle of everything by offering payment solutions for distressed and vulnerable customers
Benay Sager - COO, IDM Group
Collections optimisation using voice analytics and AI.
Marius Smith - COO, Nimble
Credit risk outcomes of consumers who subscribe to credit data driven financial wellness and credit monitoring services – a South African example.
Chris van Rensburg - CEO, Kudough
Economic factors are placing consumers under further pressure and financial service providers are seeing increased declines and bad rates. More needs to be done to assist existing and new customers in improving their financial wellness. Kudough has been tracking customer behaviour changes (changes in risk profile, debt levels and utilisation, credit products, new account behaviour, enquires, etc.) of consumers who opt in for credit monitoring services. With several credit providers and financial service providers investigating, or already offering credit monitoring / financial wellness services to their consumers, evidence of behaviour and improvement should guide strategies and deployment of services. Drawn from the analysis of the Kudough database over a 12-month period, Chris will present insights into high to low credit risk and new entrants to credit market. These insights will include how consumer self-monitoring, exposure to their own credit information and financial wellness education contribute to the betterment of their credit risk.
Waiting on reform: The short-term outlook for the SA economy and the region
Hugo Pienaar - Bureau for Economic Research
Real GDP growth forecasts for SA have consistently been downgraded in recent years. With the election behind is, what are the prospects for an improved growth performance from 2020 onwards?
Data vs Communication
Michiel van Staden - Analytics Lead, Absa
There are only 10 types of people in the world: those who understand binary, and those who don't. While a simple maths joke; it illustrates two very real problems in the analytics and business worlds: (i) a high volume of data doesn’t guarantee an answer but without data we can’t make informed decisions and (ii) when presenting data and analytical results, it’s too easy to get stuck in the technical details and not actually answer the question in a way business can understand. By using real-life examples from his experience as a data practitioner, Michiel will highlight the importance of the data presentation process in answering questions appropriately for business. Additionally, he will explain how best to make efficient/effective use of data to find clear and practical insights on which business can act.