Arrival and Registration
Welcome and scene-setting
Alex Granger, global speaker, author and founder, The Possibility of YOU
International keynote address Discover the barriers and benefits of data vault modelling for big data
Hans Hultgren, DWBI, data modelling and big data advisor, trainer and author; president Genesee Academy; principal at Top of Minds
Gain international expert opinion and insight into how some of the barriers to achieving data warehouse agility can be overcome using the data modelling approach.
- Examine the data vault modelling approach as a tool in creating an agile data warehouse
- Dissecting the premise behind data vault – unified decomposition
- Understand how a data warehouse can accept new attributes without re-engineering
- Provide an understanding of how the data vault modelling pattern is also applicable to big data, cloud, virtual and streaming deployments
- Review and critique data vault models for best practice compliance and optimal performance
Blend data visualisation and artificial intelligence to drive better decisions
Learn how to use data visualisation to unravel your organisation’s data, make it easier to understand as well as democratise it within the organisation, which will improve the adoption rate. Find out how to standardise metrics against business objectives when applying artificial intelligence for automated insights and prediction of future data trends.
- Use data visualisation to make data easier to understand, so it can be used by anyone in your organisation
- Achieve accuracy when making strategic predictions through data visualisation and artificial intelligence
- Put data visualisation to work in your company to meet your business objectives
Networking and Refreshments
Case study Man with machine: harnessing the potential of augmented intelligence
Lyle Petersen, business intelligence business analyst, ITS Woolworths SA
‘Artificial Intelligence is set to engulf all new software products by 2020’: Gartner
Many believe reliance on machines for decision-making still has potential risks when not vetted alongside human expertise and intuition. Augmented intelligence, which combines smart analytics and human expertise to create something greater than the sum of its parts, could be the answer. Employees augmented with smart analytics have the ability and time to leverage critical thinking to lower risks while making strategic and holistic decisions.
In this presentation we will explore:
- Discover emerging augmented intelligence best practices and business models
- Learn how to cut through data complexity and support strategies
- Trends and technologies in augmented intelligence
- Tools and techniques for the augmented employee
- Defining the business need and value for augmented intelligence deliverables
Thought Leadership Dissecting current trends in business intelligence and business analytics: artificial intelligence, Hadoop, IOT, blockchain and cloud computing
Frans Vermaak , CTO, Praesignis
Blockchain, together with artificial intelligence, Hadoop, IOT and cloud computing have the potential to deliver disruptive outcomes and reshape business in 2018. Any strategic decisions you make rely on intelligence gleaned from the above. Is your organisation prepared for the disruptive age in terms of its data structure, management and efficiency?
- Gain insight into how you can use these technologies/tools to better your decision-making processes
Speed networking session
Meet your match during this co-ordinated time for networking. Spend just two minutes face-to-face with fellow attendees – colleagues, competitors or peers – and answer just three questions: Who are you, what do you do and what does your product, solution or service bring to the table?
Bring 100 of your business cards and exchange details with fellow participants
Track 1 - TECHNICAL TRACK – Agile and advanced analytics
Case study Agile BI for small organisations
Xolani Holomisa, manager: business intelligence information services, Johannesburg Stock Exchange
TA detailed look into how small organisations with small budgets can compete with larger organisations in terms of their BI strategy and spend.
- Learn ‘lean’ ways of delivering incremental value from your BI strategy
- Transform your organisation into a data-driven environment
- Understand and overcome legacy systems issues
- Overcome a lack of governance
Disrupt the status quo – don’t always believe the data
Sameer Jooma, head: consumer and shopper innovation, Africa Zone, solutions Africa: Innovation and Analytics, Anheuser-Busch InBev
Technology and ‘innovation’ don’t always reach the lives of those it would make the most impact on. Bringing together innovative ideas with the technology to support it has massive transformational impact on those who are most in need.
- Don’t always believe the data – sometimes the best way to understand and solve a complex problem is to be at the coalface
- We can all disrupt the status quo, just make the bold decisions
Networking and Refreshments
Case study The developing role of data analytics to determine your exposure to cyber risk
Ryan van de Coolwijk, Product Champion, iToo Special Risks in association with Hollard
The presentation will introduce the emerging use of data analytics tools to determine and manage cyber risk exposure.
- Discover how data tools can assist with mitigating cyber risk within your organisation
- Learn how to identify the potential risks within your organisation
- Gain an understanding of what cyber insurance is and how it will assist your organisation
Data governance, data sovereignty, POPI and ethical data management
Governance and compliance for IT and data are more crucial than ever within organisations. Data culture is being bolstered by many regulations such as the Protection of Personal Information (POPI) Act and the new governance guidelines of King IV. This presentation will illustrate how data governance is the foundation for getting the best out of data.
Panel Discussion Analytics – profit vs privacy, ethics vs economics
Mandy Jamieson, senior manager business intelligence, South African National Blood Service
Participants: Kevin Prior, software developer, Anheuser-Busch InBev
John Roberts, enterprise reporting manager, Anglo Operations
Rob Zagey, senior BI analyst, StanLib
Bongani Mbatha, analytics manager, Woolworths
Our early hopes that the Web and social media would promote democracy and freedom seem to have been dashed. The Internet behemoths analyse our personal data for profit, online government surveillance is pervasive, and AI-enabled automation threatens the world economy. The basic question posed to the panel is: how can we, as businesses, embrace and implement a new ethical approach to data collection and use for the good of society as a whole?
Track 2 - STRATEGY TRACK – Information management and predictive analytics
This track is designed to provide you with valuable insight into all the requirements to create a successful business intelligence strategy, such as agile BI for small organisations, building an effective and holistic data analytics strategy and how they can improve decision-making.
Applying data analytics to detect, prevent and predict fraud
Sonja Parsons, owner, Business Management Assignments
Key insights regarding data, specifically in a health services environment, and how acutely important it is that organisations store data to detect and prevent corrupt activities. The impact of not doing so is catastrophic for the healthcare sector and it is just as critical in your line of work.
- Detail the value of data storage in your organisation
- Understand the value information and data management
Case Study Revisiting predictive analytics: directions, decisions and management (mis)information
Mai Moodley, head of department for financial systems and processes, SITA
This presentation will explore the challenges facing the evolution of predictive analytics and whether or not the promise of better decision-making is being realised by organisations and their leadership. Using a series of case studies, we will explore the "hidden" challenges associated with translating predictive analytics for sound decision-making, as well as how you can ensure ROI from your investments in predictive analytics.
- How to improve the return on investment in predictive analytics
- Overcoming the hidden decision-making challenges associated with predictive analytics
Networking and Refreshments
Case Study Reverse auctions – best practice in global procurement
Tim Norris, managing director, Purchasing Auctions SA
Reverse auctions are the best source of pure, raw data for all procurement analytics. This talk will demonstrate how reverse auctions in procurement provide the greatest opportunity to improve processes, increase productivity and reduce costs in the supply chain.
- Discover where reverse auctions fit into an organisation’s procurement strategy today
- Find out how reverse auctions automate the negotiation process and how this, in turn, reduces costs
- Understand why an increasing number of organisations are employing reverse auctioning today
Balancing data science and analytics with innovation and value
Creating an effective data science and analytics programme is a huge challenge and a difficult process for many organisations. Data science teams have to balance cutting-edge analytics with ensuring information is relevant and valuable to business users. This presentation will illustrate how organisations’ data science processes have evolved to meet its business needs.
Stripping Africa apart to create a consistent “One Africa”
Claudelle Naidoo, head of insights and new business director, MediaCom
As industry experts and consultants, our number one vision should be ensuring we have access to data that informs analytics and consumer insights in line with how the African consumer is rising. During this presentation, we will address ways in which we can realise our vision to understand the growing African consumer in order to put brands at the heart of the continent.
- A snapshot of credible resources available to conduct research in key African markets
- An in-depth approach on how to build analytics and insights capability in Africa by using partners and intellectual property
- African continent