Agenda day 2

Wednesday 14 March 2018

Arrival and Registration
BIA2018 Opening
Welcome and scene-setting

Alex Granger, global speaker, author and founder/CEO, The Possibility of YOUAlex Granger, global speaker, author and founder, The Possibility of YOU

Local Keynote address Data vs Information – Now it’s Really Vital

Dr Barry Devlin, founder and principal, 9sight ConsultingDr Barry Devlin, founder and principal, 9sight Consulting

It's an old debate, often seen as stale and academic. But the difference between data and information becomes more important by the day as the volumes of data gathered about us exceeds what we know ourselves. Whether it is business such as Google or Amazon, or government at home or abroad, data feeds algorithms that determine how we treat, or are treated as, customers and citizens. Discerning between data and information, not to mention knowledge and meaning, will be a vital skill in avoiding the hegemony of the data rich.

  • The dangers of data-driven decision-making
  • The difference between data and information
  • The delight of being information informed
Case study The Comair journey through analytics

Liezl Brouckaert, business intelligence manager, Comair LimitedLiezl Brouckaert, business intelligence manager, Comair Limited

Understand how Comair dissected the analytics and revamped its information strategy, while at the same time identifying and overcoming the blockers in its BI process.

  • Review the analytics and information strategy
  • Identify and learn from the blockers
Case study Data analysis and predictive analytics – where to start

Reneé Schoeman, quantitative analyst, FNBReneé Schoeman, manager analytics

This presentation will enable you to learn how you can utilise the wealth of data available to give your organisation the competitive edge. Discover where you need to start with this daunting task. Answer questions such as: do you start doing random analysis just to produce "something" as a starting point? Do you throw money, resources and time into a "big bang" approach, or do you decide on a few key points to investigate and start building on that?

  • Glean insight into how you can start a data analysis and predictive analytics strategy from scratch
  • Where to invest for the best possible outcome
  • Defining your approach to analysing the data
Business Matchmaking, Networking and Refreshments
Thought-leadership Unpacking latest trends: The next generation of BI and analytics

Samuel De Swardt, senior business intelligence architect at StanLibSamuel De Swardt, senior business intelligence architect, StanLib

The IT industry and the world at large have always been subject to technology and business trends, sometimes undergoing major changes, such as the development of the personal computer, client/server computing, the evolution of the Internet, and now cloud computing. Over the last few years, new trends have emerged that have had an enormous influence on how organisations work, interact, communicate, collaborate and protect themselves. IT meta-trends influence organisations' strategies, operations and investments in a wide variety of ways: digitalisation, security and privacy seem to make the most headlines now, but agility, cloud, mobile and artificial intelligence are also major technology drivers. These meta-trends can be considered as the main drivers behind a number of important trends, either related to the use of software and technologies for BI/analytics and data management, or to the way the use of technology is organised in companies.

Data-driven public private innovation

Dr Setumo Mohapi, CEO, SITA Dr Setumo Mohapi, CEO, SITA

The proliferation of smart devices complemented by the move to cloud-based transacting, the explosion of social media and internet traffic are creating new opportunities in Big Data Analytics. These developments require changing mind-sets to becoming data-driven, building the ecosystem of data products and services that add value. Such ecosystem will inherently drive us to achieving data-driven governance, improving lives through data science and analytics. Building such an ecosystem will necessitate the establishment of a world-class data science capability across government.

  • Changing mind-sets for becoming data-driven
  • Data-driven (DaaS).....building an ecosystem of data products that add value
  • Data-driven governance.....improving lives through data science and analytics

Lunch, Business Matchmaking and Networking

Track 1 - STRATEGY TRACK – Latest trends in strategy

This track will dissect and bring you up to speed with the latest trends and developments in business intelligence and analytics

Track 1 commences

Chair: Mandy Jamieson, Senior manager business intelligence, South African National Blood ServiceMandy Jamieson, senior manager business intelligence, South African National Blood Service

Thought-leadership Building and implementing an effective and holistic business intelligence and data analytics strategy

Kobus Pienaar, general manager: information technology, Wesizwe

It is time to revamp your existing BI strategy, which will help you to unleash more BI value and increase BI adoption. By revamping the BI strategy, you can also pave the way for predictive analytics, big data analytics, market/industry intelligence, and much more.

  • Build a next-generation BI with a game-changing BI strategy
  • Put the 'business' back into business intelligence

Case study Winning with analytics through strategy – how to build and implement a successful data and analytics strategy in a fast-moving world

Bongani Mbatha, analytics manager, WoolworthsBongani Mbatha, analytics manager, Woolworths

Focus on the practical steps and elements of a successful data and analytics strategy from conception to implementation. Determine how organisations can learn from start-ups to quickly prove business value and implement small wins. Learn from examples of business value gained by embedding small analytics insights into business processes.

  • Five elements of a successful data and analytics strategy
  • Learning from start-ups to fast-track insight to value
  • The do's and don'ts of data and analytics strategy from experience
Business Matchmaking, Networking and Refreshments
The emotions in data

Rob Zagey, senior BI analyst, StanLibRob Zagey, senior BI analyst, StanLib

This talk will explore how machines will soon know us better than we know ourselves.

  • The emotions in data are generating a whole new wealth of untapped insights.
  • This will lead us to solving the world's biggest challenges.
  • Selling analytics better. Knowing the answer to 'what' is happening was just the beginning; knowing the answer to 'why' it is happening is the next level.
Mini – Workshop: Modern data wrangling

ICT Intelligence

Close of event

Track 2 - TECHNICAL TRACK – Reporting and data visualisation

This track will assist you with understand patterns, trends, and insights by transforming data into a visual context

Track commences

John Roberts, enterprise reporting manager, Anglo Operations

Case study Reporting, dashboards and analysis that can be used for decision-making

 Sammy Machethe, principal specialist: analytics and insights, Vodacom

Key tips to creating dashboard and reports. Create templates to save dashboards and reports formatting. Optimising your dashboards and reports run times.

  • How to create a user-friendly dashboard
  • How to create a compelling dashboard
  • How to automate reports based on repeating adhoc requests from business
Case study The effect of moving BI analytics to the cloud

Cecil Kgoetiane, Manager: information systems, SA Weather ServiceCecil Kgoetiane, data engineer, SA Weather Service

Based on the BARC's study on the BI trend monitor 2017 and Tableau's top 10 BI trends 2017, in the last two to three years, and especially 2017, the trend has been that businesses are relocating their data to the cloud environment.

  • Find out why businesses are moving analytics to the cloud
  • Achieve business continuity and reduce costs through the cloud
  • Learn best-in-class analytics process power
Business Matchmaking, Networking and Refreshments
Case study Adopting Cloudstack Deep Dive to illustrate the usage service processes with data already generated to track end user consumption

Dan Crowe, Managing consultant, ShapeBlue South Africa

Aligning the planets of the information journey

Wikus Combrinck, ‎general manager business intelligence competency centre, ‎Tracker South AfricaWikus Combrinck, GM business intelligence competency centre, ‎Tracker South Africa

We all know the saying: "Men are from Mars and women are from Venus", but have you ever considered the fact that IT and information are from Pluto? Join Wikus Combrinck on this wonderful journey of exploration to see how to align and connect critical areas that were once planets apart, to make sense of billions of records, connecting hundreds of databases, data sources and datasets – working with all stakeholders by Goofy'ing on Pluto the right way and providing analytics to over a million customers.

  • Taking a snapshot a million miles away – zooming in frame by frame to align our vision
  • Combining technologies and processes – analytics, data sciences, master data
  • Importance of data governance and making it a success
  • Choosing the implementation path and adjusting the roadmap along the way
  • Lessons and achievements in an ever-changing universe
Case study: A novel Deep Machine Learning approach to FinCrime screening

Myles Rennie, director: big data and analytics, Barclays Africa Group

Deep Learning networks are used, very successfully, for computer vision, image recognition, translation, text generation etc. By mapping, or reformulating, a business problem to a Deep Learning format these very successful Machine Learning algorithms can be used to solve these problems in a novel approach. My talk will demonstrate how FinCrime screening, typically approached in a linear, discreet, manner can be reformulated and approached using Convoluted Neural Networks to improve performance.

  • Reformulating business problems opens new avenues to innovative solutions
  • Machine Learning use cases can extend beyond the familiar into the domain of business problems
Close of event