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Monday 27 September 2021

08:30 - 08:45

Exhibition Viewing

08:45 - 09:00

Welcome & Opening

09:00 - 09:30
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Embracing Data Disasters

Jordan Goldmeier CEO, Anarchy Data (USA)
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Embracing Data Disasters

We live in a time where data grows faster than our ability to even articulate the challenges and opportunities it creates. We can choose how to respond—we can turn our backs on past failures, or we can what historical data disasters say about today’s data workers. In this engaging keynote speech, celebrated Data Scientist Jordan Goldmeier provides a clear insight into how companies can gain continuous value from their data teams and the actions steps required to begin generating value immediately.

Key takeaways:
1. Reduce bottlenecks on data teams
2. Enabling data workers to generate value immediately
3. Creating data teams that endure through the Pandemic and beyond

Jordan Goldmeier
Jordan Goldmeier CEO Anarchy Data (USA)
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09:30 - 10:00
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How to Define a Machine Learning Problem

Shashin Mishra Director: Data Science and Analytics, Publicis Sapient (UK) Sray Agarwal Associate Director: Data Science and Analytics, Publicis Sapient (UK)
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How to Define a Machine Learning Problem

Most of the software product teams planning to use machine learning to make their products smarter, make a common mistake - poorly defined problem statement - leading to a machine learning model that does not bring the results in real life that they had hoped it would. Even though most of the times business understands the goals they want to achieve by utilising machine learning (or AI as some like to call it), but the task of converting that goal into a set of requirements that can be understood by the data scientists often takes a back seat.

The interpretation of goals into technical requirements is left to the data scientists, without going through a rigorous process to convert business goals into requirements that are measurable and convertible to technical requirements for the model(s). The desire, or impatience, to get the benefits from the data as soon as possible leads to an outcome that does not meet the expectations.

In this session, we will talk about how the different roles within the team should work together to define the problem statement that can then be converted by the data scientists into custom objective or loss functions. These custom functions are then optimised in the train/test/validation stages to create a model that ultimately achieves the business goals much better.

Key takeaways:

  1. What are the most important steps in a data science solution's lifecycle?
  2. Who is responsible for defining a machine learning problem?
  3. How can different roles come together to define a machine learning problem?
Shashin Mishra
Shashin Mishra Director: Data Science and Analytics Publicis Sapient (UK)
Sray Agarwal
Sray Agarwal Associate Director: Data Science and Analytics Publicis Sapient (UK)
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  • TED-Style Talk
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How Have Organisations Modernised Their Data Governance and Data Management Strategies to Accommodate Cloud?

Nomonde White-Ndlovu Head of Governance, Risk and Compliance: Information and Technology Office, Absa Group
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How Have Organisations Modernised Their Data Governance and Data Management Strategies to Accommodate Cloud?

Nomonde White-Ndlovu
Nomonde White-Ndlovu Head of Governance, Risk and Compliance: Information and Technology Office Absa Group
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  • Case Study
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Next Generation Analytics: Business Intelligence is Not Enough

Jean-Claude Pizzi Analytics and Planning Mentor: Director Business Development, SAP EMEA South (ITA)
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Next Generation Analytics: Business Intelligence is Not Enough

Analytics allows the user to find and explore new business opportunities or trends. Do you think this is enough? We at SAP don’t think so. We want to provide one single platform that is capable to support all the Analytic processes like:

  • Business Intelligence
  • Augmented, Predictive and Prescriptive Analytics
  • Planning for Industries and Line of Businesses

 

This is possible using one single platform available to the end-user. In this session, we will share our customers’ experience in this transformational journey from Passive to Active analytics.

Jean-Claude Pizzi
Jean-Claude Pizzi Analytics and Planning Mentor: Director Business Development SAP EMEA South (ITA)
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  • TED-Style Talk
10:00 - 10:15

Exhibition viewing & Tea break

10:15 - 10:45
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Drive Business Value and enable Organisational Agility with Self-Service Analytics

Solomon Madadha SVP: Data Analytics & Governance, Regions Financial Corporation (USA)
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Drive Business Value and enable Organisational Agility with Self-Service Analytics

With the exponential growth of data, 85% of Organisations struggle with implementing a successful data intelligence framework to empower businesses with data on-demand capabilities and enable agile decision making. Traditional business intelligence frameworks are not able to cater to the needs of today's organisation with growing needs with various data capabilities such as advanced analytics, data-on-demand, self-service, and data democratisation. As more and more businesses recognise the need to make data-centric decision making, accessing data on demand is critical to serving the business functions along with scalability, security, and governance.

Key takeaways:

  1. Understanding the limitations of traditional business intelligence frameworks.
  2. Exploring the differences in capabilities and processes between centralised BI and self-service analytics.
  3. Creating a data-driven self-service analytics enterprise for business agility and gain competitive advantage.
Solomon Madadha
Solomon Madadha SVP: Data Analytics & Governance Regions Financial Corporation (USA)
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Infuse and Scale AI in Your Organisation: Developing and Leveraging AI Platforms

Dino Bernicchi Head of Data Science, HomeChoice International PLC
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Infuse and Scale AI in Your Organisation: Developing and Leveraging AI Platforms

So, your organisation has taken a few AI models live and is reaping the benefits. But now what happens? How do you quickly develop and push your next 10… 20… 100 models into production and manage retraining, degradation, and data drift? AI Platforms are helping organisations with these problems. Join this talk to uncover the details.

Key takeaways:

  1. How are AI Platforms changing the AI lifecycle?
  2. Unpacking the key features of an AI Platform
  3. Examples; build or buy?
Dino Bernicchi
Dino Bernicchi Head of Data Science HomeChoice International PLC
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  • TED-Style Talk
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Nekst: Data Literacy Program

Greg Morley Sales Director, Expeditus (Pty) Ltd
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Nekst: Data Literacy Program

The advancement of the fourth industrial revolution driven by digital transformation requires everyone in business to be able to read, work with, investigate and communicate with data. Nekst has developed a Data Literacy program that is designed to teach the people in your business the language of data, so that you can accelerate the ROI of your data and analytics investments.

Greg Morley
Greg Morley Sales Director Expeditus (Pty) Ltd
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  • Partner Solution Showcase
10:45 - 11:15
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Entrepreneurship in Tech; AI, Blockchain, Machine learning and IoT

John Kamara Founder, Ada Lab Limited (KEN)
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Entrepreneurship in Tech; AI, Blockchain, Machine learning and IoT

Learn how businesses can leverage key technology trends, transform organisations and drive competitive advantage for impact in industries including finance, agriculture, health, education, gaming, and startup enterprises. Understand how technology plays a critical role in catapulting Africa into the Fourth Industrial Revolution while creating critical mass impact.

Key takeaways:

  1. How new technologies can be leveraged in solving some of the most prominent and pertinent socio-economic challenges in Africa.
  2. How various players play different roles through the empowerment of existing structures and systems to build holistic sustainable ecosystems in problem-solving.
  3. Share knowledge, experiences, and network with up and coming entrepreneurs in tech and beyond fueled by my passion to see more successful tech-driven companies launch out of Africa.
John Kamara
John Kamara Founder Ada Lab Limited (KEN)
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  • TED-Style Talk
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From A to B to C(X) - Business2Business Analytics in a World of Emotions

Professor Yudhvir Seetharam Head of Analytics, Insights and Research, FNB
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From A to B to C(X) - Business2Business Analytics in a World of Emotions

Customer Experience is often cited as the hot topic of the day, but many do not know how to measure it. If it cannot be measured, it cannot be managed.

In this session, we will merge the worlds of analytics, business, and the customer to create a golden thread of experience that is bound by data. After a brief introduction to customer experience, metrics will be explored that can help B2B companies in particular to measure and manage their relationships with their customers. Thereafter we explore how to implement a CX culture across organisations, enabling both the employee and customer to feel valued and embrace the mission statement of truly being customer-centric.

Key takeaways:

  1. Analytics is not just about data
  2. It's about data-driven decision making that ultimately affects your customer
  3. CX will become part of your organisation's DNA
  4. Measuring CX requires a multi-skilled team, working towards a single vision.
Professor Yudhvir Seetharam
Professor Yudhvir Seetharam Head of Analytics, Insights and Research FNB
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  • TED-Style Talk
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Ignite Your AI Capabilities with a Centralised Analytics Platform

Quentin Williams Associate Director, Deloitte Consulting (Pty) Ltd
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Ignite Your AI Capabilities with a Centralised Analytics Platform

A Centralised Analytics Platform (CAP) is aimed at providing an enterprise-wide data science workbench that drives collaboration across your organisation.

CAP serves to empower roles across the organisation through a mix of collaboration, reusability, automation, and ease of access to up-to-date and relevant information. It enables you to leverage organisation-wide learning for both data and analytics that will remove barriers to model development, model monitoring, and value tracking.

Quentin Williams
Quentin Williams Associate Director Deloitte Consulting (Pty) Ltd
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  • TED-Style Talk
11:15 - 12:05
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Secret to Boosting your Data Culture

Heather Hill Founder, BI Success Coach, LLC (USA)
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Secret to Boosting your Data Culture

Stop running your team like hamsters on a wheel and creating proof of concepts that do not add business value. Walk alongside your customers and serve your organisation with lasting value beyond the technology. Heather Hill shares how to leverage customer involvement in aligning your data and analytics strategy. The innovative A-L-I-G-N methodology brings together a mind-meld of models from best-selling innovators grounded in design thinking to kickstart your winning data culture.

Key takeaways:
1. Obtain actionable tools and templates to ignite customer involvement
2. Ignite your data and analytics user adoption with the key lessons learned
3. Grow your career with wins that will take your organisation’s data culture to the next level

Heather Hill
Heather Hill Founder BI Success Coach, LLC (USA)
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  • Interactive Session
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A Primer on Data Visualisation - Lessons From the Past, For a More Effective Future

Dr Marcus Gibson Director of Business Intelligence, Torrens University Australia (AUS)
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A Primer on Data Visualisation - Lessons From the Past, For a More Effective Future

Decision-making is tough. We are constantly inundated with information, and making sense of it all can be overwhelming. We are the most data-literate generation of our time, yet we often make poor decisions based on good information. The use of charts and tables to communicate information has been commonplace for as long as any of us can remember, yet few of us who produce them have learned the design practices that make them effective.

This presentation will present a primer on data visualisation, that will hopefully prepare you for a journey of discovery in what is an exciting and very practical field. Numbers are central to our understanding of business performance, and we have a duty of care to our stakeholders (and ourselves!) to present these numbers in the clearest, concise, and supportive manner possible.

Key takeaways:

  1. A brief history of data visualisation, and what lessons we can take into the future.
  2. Some examples of what to do (and what not to do).
  3. A quick start reference guide to help get you started.
Dr Marcus Gibson
Dr Marcus Gibson Director of Business Intelligence Torrens University Australia (AUS)
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  • Interactive Session
12:05 - 12:35
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How the Chief Data Officer Can Drive your Company's Data-Driven Culture

Raquel Seville CEO: Caribbean, BI Brainz Group (JAM)
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How the Chief Data Officer Can Drive your Company's Data-Driven Culture

In this Keynote, Raquel will dive into how the Chief Data Officer can own the Data Governance Strategy, Quality, and Accountability in your organisation.
Raquel Seville
Raquel Seville CEO: Caribbean BI Brainz Group (JAM)
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  • Keynote
12:35 - 13:00

Partner Demonstrations

Tuesday 28 September 2021

08:30 - 08:50

Exhibition Viewing

08:50 - 09:00

Welcome & Opening of Day 2

09:00 - 09:30
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How to Build a Successful, Scalable and Sustainable Data Science Capability

Dr Alex Antic Strategic Data Science Expert , Independent (AUS)
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How to Build a Successful, Scalable and Sustainable Data Science Capability

In this keynote, Human-Centred Data Science Expert, Dr Alex Antic, will share insight into:

1. How to establish a successful and sustainable Data Science practice, with the right culture
2. Effective ways to ensure success with Data Science projects
3. Tips, insights, and how to avoid common pitfalls

Dr Alex Antic
Dr Alex Antic Strategic Data Science Expert Independent (AUS)
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  • Keynote
09:30 - 10:00
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Humanising Your Data Strategy - How to Build a Healthy Data-Driven Culture

Maritza Curry Head of Data, RCS Group
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Humanising Your Data Strategy - How to Build a Healthy Data-Driven Culture

Data Strategies are about people - or should be if you want to establish and drive a healthy data culture in your organisation. So, how do we make humans the focal point of our Data Strategies so that our data initiatives bring value to our analytics and BI communities and to our Customers? This session will outline the components of a people-driven Data Strategy, from building Data & Analytics communities to creating value propositions for Data & Analytics talent.

Key takeaways:
1. How to define a people-centered Data Strategy
2. How to operationalize the Data Strategy by building a strong data culture
3. How to partner and build relationships to ensure the continued health of your data culture

Maritza Curry
Maritza Curry Head of Data RCS Group
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  • TED-Style Talk
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The Role of BI in Organisational Agility

Ncumisa Hlapo Senior Specialist: Business Intelligence Lead, Medscheme Holdings Limited
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The Role of BI in Organisational Agility

In these unpredictable and unstable times, organisations need capabilities for sustainability and survival. The ability of an organisation to detect changes, make decisions, and implementation fast, is the difference between disrupting or being disrupted. Business Intelligence has the ability to help organisations build the responsiveness, adaptability, and speed required to remain ahead of their objectives and strategy.

Key takeaways:

  1. Organisational agility
  2. Operational agility
  3. BI as an enabler for agility
Ncumisa Hlapo
Ncumisa Hlapo Senior Specialist: Business Intelligence Lead Medscheme Holdings Limited
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  • TED-Style Talk
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SAP Business Process Intelligence - Excel in Transformation with Intelligent Process Management & Drive Operational Excellence at Scale

Eshaanan Gounden Senior Cloud Specialist - Business Technology Platform, SAP South Africa (Pty) Ltd
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SAP Business Process Intelligence - Excel in Transformation with Intelligent Process Management & Drive Operational Excellence at Scale

Business Process Management, or BPM, has been around for years, actually decades, and practiced by all companies with any past or current long-term viability. BPM is a major part of almost every company’s continuous improvement program. Continuous improvement is a “company culture” component.

So why is SAP Business Process Intelligence different? SAP Business Process Intelligence brings together in a single solution suite all of the tools needed for the analysis of business process performance combined with the enterprise software that is used for enabling and reengineering business processes. Having the BPM tools required for both process analysis and process improvement in a single package is unprecedented.

There are actually three major parts to this solution. The first is process analytics for finding the best opportunities for improvement; the second is a collection of tools for repairing, enhancing, automating, and generally improving processes. Thirdly, the solution provides BPM administrative capabilities to help orchestrate and govern business process management in both small and large companies of varying complexity.

Eshaanan Gounden
Eshaanan Gounden Senior Cloud Specialist - Business Technology Platform SAP South Africa (Pty) Ltd
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  • TED-Style Talk
10:00 - 10:15

Exhibition viewing & Tea break

10:15 - 10:45
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Big Data, 5G and IOT - Smart Cities, Smart Businesses and Smart Economies

Gillian Tomlinson Director of Data & Analytics, Three UK (UK)
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Big Data, 5G and IOT - Smart Cities, Smart Businesses and Smart Economies

Gillian Tomlinson
Gillian Tomlinson Director of Data & Analytics Three UK (UK)
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The Efficient Management of Data and Analytics Teams

Zjaen Coetzee Head of Data Insights Management, Telkom SA SOC Ltd
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The Efficient Management of Data and Analytics Teams

The change in technology, digital transformation, and the other 10 000+ buzzwords have created chaos in managing highly effective teams in data, analytics, and some of the 4IT tech. Traditional methods simply do not work and are no longer appropriate in most cases. Everyone is trying to mimic what the silicon valley giants are doing but somehow it seems to be hit and miss in most cases.

In the context of South Africa, from a data literacy perspective and considering the massive impact of culture, we must consider the following:

  • Which frameworks can be used to manage teams effectively?
  • How do we execute better?
  • How do we track value?
  • How do we curb management fatigue?
  • How do we ensure our teams remain relevant?
  • How do we then introduce technologies to drive digital innovation

 

Keeping all of this in mind in the context of strategy development, I will be sharing some insights as well as recommend a proposed framework that can be considered to effectively manage high-performance teams.

Key takeaways:

  1. Understanding the complexities of managing high-performance teams
  2. How to synergise between leadership and technologies
  3. How to better adapt to change
Zjaen Coetzee
Zjaen Coetzee Head of Data Insights Management Telkom SA SOC Ltd
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  • TED-Style Talk
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Target Customer Centricity with the Virtual Product Feature & Price Optimisation Platform (VPOP)

Theo Kotze Senior Manager, Deloitte Consulting (Pty) Ltd
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Target Customer Centricity with the Virtual Product Feature & Price Optimisation Platform (VPOP)

VPOP helps you identify product feature importance and classify price elasticity for a target market. Through customer-centric value perception, it serves to prevent expensive launch fails and curb profit leakage.

Theo Kotze
Theo Kotze Senior Manager Deloitte Consulting (Pty) Ltd
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  • TED-Style Talk
10:45 - 11:25
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How to Build a High Performing BI & Analytics Team That is Future Ready

Kate Carruthers Chief Data & Insights Officer, UNSW Sydney (AUS)
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How to Build a High Performing BI & Analytics Team That is Future Ready

This talk will cover the key resource that is needed to build the future of BI and analytics - your team. It will discuss how to build a culture of high performance, how you can create a team that is ready and willing to learn new skills and technologies. It will include a case study of UNSW's migration away from its legacy BI & data warehouse platform to a modern data platform, and how the team has evolved.

Kate Carruthers
Kate Carruthers Chief Data & Insights Officer UNSW Sydney (AUS)
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  • Interactive Session
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Eliminating Bias in the Deployment of Machine Learning

Stephen Brobst Chief Technology Officer, Teradata Corporation (USA)
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Eliminating Bias in the Deployment of Machine Learning

The primary source of bias in machine learning is not in the algorithms deployed, but rather the data used as input to build the predictive models. In this talk, we will discuss why this is a huge problem and what to do about it. Different sources of bias will be identified along with possible solutions for remedying the situation when deploying machine learning. We will also speak about the importance of transparency when using machine learning to predict outcomes that impact critical decisions.

Key takeaways:
1. Learn why most predictive models are biased.
2. Learn about the sources of bias in predictive models.
3. Learn how to reduce the negative impact of potential bias in predictive models.

Stephen Brobst
Stephen Brobst Chief Technology Officer Teradata Corporation (USA)
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Moving the SAP® Data Your Business Demands and Your Users Need

Adrian Bromell EMEA Territory Sales Manager, Qlik Gold Client
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Moving the SAP® Data Your Business Demands and Your Users Need

Lowering the TCO of Your SAP Development Landscape Your business needs accurate data to be available for development, testing, quality assurance (QA), and training. And to keep your sensitive data safe. Yet creating and updating non-production systems with good, reliable data is really hard in an SAP environment. You drain development resources, storage, and time managing, supporting, and securing data across your SAP environment – which impacts your business success.

Consider how much copying production databases consumes resources. How refreshing a development SAP client can take days, weeks, or more. And how many skilled resources are required, causing your project schedules to slip.

In this session, we will show you how to resolve these test data management challenges. The approach allows SAP users like you to replicate and move select data sets from your SAP applications and data warehouses to your non-production SAP environments.

Adrian Bromell
Adrian Bromell EMEA Territory Sales Manager Qlik Gold Client
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  • Partner Solution Showcase
11:35 - 11:50

Speed Networking

11:50 - 13:00

Partner Demonstrations

Wednesday 29 September 2021

08:30 - 08:50

Exhibition Viewing

08:50 - 09:00

Welcome & Opening of Day 3

09:00 - 09:30
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Performance through Player Welfare – How Data Analytics is Transforming Contact Sport

Chris Turner CEO, Sports & Wellbeing Analytics (UK)
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Performance through Player Welfare – How Data Analytics is Transforming Contact Sport

This presentation will cover the journey of how Sports & Wellbeing Analytics use sensor-based real-time information to look at the particular complexities of contact sport and turn that into actionable insights which enable athletes, coaches, and medics to make proactive decisions on their performance and welfare. It will include a discussion on a new lexicon for contact that is transferrable across sport and how the insights from this make it possible to compare what is happening on a rugby pitch to a boxing ring. Additionally, it will cover how machine learning and AI can interpret this data to tell what is happening to an athlete without the need for video.

Key takeaways:
1. How internet of things based data can be harnessed to transform a sport
2. The importance of real-time data
3. How the use of machine learning can challenge the art of the previously thought impossible

Chris Turner
Chris Turner CEO Sports & Wellbeing Analytics (UK)
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  • Keynote
09:30 - 10:00
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How to Enjoy a Sweet Data Driven Life using SAP Analytics (BusinessObjects) in the Cloud

Mustafa Mustafa Senior Director - Analytics & Technical Shared Service, Ferrara Candy Company (USA)
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How to Enjoy a Sweet Data Driven Life using SAP Analytics (BusinessObjects) in the Cloud

Ferrara selected SAP because of the unprecedented capabilities of HANA being in-memory, and the versatile capabilities of SAP Analytics (BusinessObjects) to have a variety of tools to meet each individual’s unique needs. SAP Analytics takes information and puts it at the fingertips of the business within seconds. Ferrara’s differentiator by using SAP HANA and Analytics is to make real-time decisions and effectively execute upon organisational goals. Behind the scenes, the environment at AWS is accessible to internal and external teams. The developmental approach is simplified well beyond the "five-star schema" days. Ferrara's testing environment for users leverages real-time data to maximize the success when promoted to production.

Furthermore, the testing environment is strategically located in another AWS availability zone and acts as a disaster recovery environment for no additional cost. Whether building solutions or enabling decision making, SAP HANA and Analytics in the cloud is a paradigm shift in the organisation providing immense value and efficiency to those that build and use business intelligence.

Key takeaways:

  1. Importance of Business Intelligence Mission and Vision
  2. Simplified model of Business Intelligence on the cloud
  3. Simplified delivery of Business Intelligence solutions
Mustafa Mustafa
Mustafa Mustafa Senior Director - Analytics & Technical Shared Service Ferrara Candy Company (USA)
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Purifying Water the Data Way

Stefan Enslin Project Manager, BMW South Africa (Pty) Ltd Farai Ndawana Lead Data Engineer, BMW South Africa (Pty) Ltd
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Purifying Water the Data Way

In this new age of data-driven analytics and catchy buzz words, it is quite easy to commit the cardinal sin of interchanging terminology for cause and effect. Picture this, have you ever come across the terms data lake, data warehouse, and data hub being used interchangeably in many a narrative thereby making you cringe in agony? Have you ever wondered why these terms are thrown loosely together to describe similar concepts? Has it ever occurred to you how these originated and how knowing the truth behind each of these will set your data soul free and make you thirst for knowledge on how to unleash these monsters? Well, Farai and Stefan are here specifically to quench that thirst.

This presentation will set the tone on the three concepts and explain the nuances around them, whilst also deep diving on how these can be achieved at scale via a cloud-driven approach. We will also endeavour to outline the common pitfalls, the first-mover advantages in the cloud space, and the lessons learned on our big data cloud journey. In essence, this session will cover how the data lake, data warehouse, and data hub concepts - if designed, managed, integrated and harmonised correctly, can result in a successful Big Data strategy for any organisation.

Key takeaways:

  1. Difference between a Data Warehouse, Data Lake, and a Data Hub
  2. How does BMW handle Petabytes of data using the Cloud Data Hub (CDH)
Stefan Enslin
Stefan Enslin Project Manager BMW South Africa (Pty) Ltd
Farai Ndawana
Farai Ndawana Lead Data Engineer BMW South Africa (Pty) Ltd
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Common Mistakes Data Teams Make and How to Avoid Them

Jacques du Toit Co-Founder & CTO, Spatialedge (Pty) Ltd Pierre le Roux Co-Founder & CMO, Spatialedge (Pty) Ltd
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Common Mistakes Data Teams Make and How to Avoid Them

Join Pierre (Spatialedge CMO) and Jacques (Spatialedge CTO) as they present common mistakes data teams in enterprise make and how to avoid them. There will be quite an emphasis on MLEngineering, MLOps, team processes and maybe a little bit on technology.

This will be a fun and interactive session!

Jacques du Toit
Jacques du Toit Co-Founder & CTO Spatialedge (Pty) Ltd
Pierre le Roux
Pierre le Roux Co-Founder & CMO Spatialedge (Pty) Ltd
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  • TED-Style Talk
10:00 - 10:15

Exhibition viewing & Tea break

10:15 - 10:45
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Business Intelligence Tools & Strategies

Emmanuel Lubowa CX-Business Analytics , Airtel Uganda (UG)
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Business Intelligence Tools & Strategies

Businesses are advancing from a static, passive report of things to proactive analytics with dashboards that help them see what is happening every second and give regular alerts. Features such as AI algorithms based on advanced neural networks provide a high level of accuracy in detecting anomalies as it learns from historical patterns and trends. This will help immediately register and notify the user of any unexpected events. Another feature that AI has to offer in BI solutions is the upscaled insights capability that automatically analyses the dataset without needing human intervention.

There is an increasing demand for real-time online data analysis tools. The arrival of IoT is bringing an invaluable amount of data that will promote statistical analysis and management at the top of the priorities list. Tech giants use AI in various ways that will enhance the machine learning process, and businesses worldwide should keep an eye on this process in 2021.

In 2020, organisations witnessed the crucial value of real-time data and accurate updates for business analytics, enabling the necessary development of strategies to respond to a situation as it arises. Up-to-date data has become more critical than ever before, and since the world has changed, businesses need to adapt as well. in 2021 and beyond, organisations and governments will use real-time data with live dashboards for quicker reactions

Key takeaways:
1. Businesses are advancing from a static, passive report of things to proactive analytics.
2. Increasing demand for real-time online data analysis tools.
3. AI in various ways that will enhance the machine learning process, and businesses worldwide.

Emmanuel Lubowa
Emmanuel Lubowa CX-Business Analytics Airtel Uganda (UG)
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MTN’s Data Journey towards a Digital Platform Business

Alet Smith General Manager: Business Intelligence Competency Centre, MTN
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MTN’s Data Journey towards a Digital Platform Business

The data journey towards a digital platform cannot be short-circuited. The journey is founded on sound pillars to pave the way towards a data mature organisation. In this session, Alet will cover the principles that have been guided MTN.

Alet Smith
Alet Smith General Manager: Business Intelligence Competency Centre MTN
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Data - Brilliant at Basics

Denver Naidoo Chief Data Officer, Old Mutual Insure
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Data - Brilliant at Basics

The proliferation of advanced analytics including artificial intelligence has propelled many organisations to place focus and value on managing their data assets more effectively. Historically organisations oscillated between two extremes; on the one hand, data management and the governance thereof was either shrouded in "death by PowerPoint" of theories, methodologies, and frameworks or is non-existent. In both cases, business stakeholders could not understand how to practically implement a data strategy let alone understand what all the terminology meant. It is no wonder data practitioners are often at their wits end often exclaiming “Business just does not get it”.

The evolution of the Chief Data Officer role over the last 15 years has really begun to close the gap between the “them” and the “us” with leading organisations gaining a competitive edge by ensuring Data is given a seat at the table. Taking a business perspective to data means decoupling an organisation's data from the supporting technology and leveraging data just like any other commodity. A product is simply enabled using technology; similarly, data is enabled through technology, it is captured/generated and processed using technology but it is not the technology.

The magic in driving a data-led organisation resides in, firstly driving a data-centric culture through constantly improving data literacy at every level throughout the organisation. Ensuring that each division and individual understands the data that they are processing, the reason for it, and the downstream value that each data element adds to the overall strategy of the organisation is crucial. Unpacking the various data management practices from first principles in simplistic easy to understand terminology will ensure that data management is no longer a convoluted array of acronyms and terms that no one understands.

By driving Data Brilliant@Basics, data quality can be improved, automation and self-service BI can be achieved so that our valuable data resources can focus on making more advanced use of our data to drive our organisational strategies.

Key takeaways:

  1. Data literacy at all levels across an organisation is a big component of driving a data-centric culture
  2. Data management practices need to be practical
  3. Being brilliant at the basics ensures that organisations are geared to leverage more value from the advanced use of data
Denver Naidoo
Denver Naidoo Chief Data Officer Old Mutual Insure
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10:45 - 11:35
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All Models are Wrong, Some are Useful…But do We Know Which Ones?

Shaun McGirr AI Evangelist, Dataiku (UK)
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All Models are Wrong, Some are Useful…But do We Know Which Ones?

Most organisations have only scratched the surface of the potential value of AI, and we data people often blame corporate culture: “my stakeholders just don’t get it, the inertia is too powerful, people won’t give up Excel, etc...” But practitioners must reflect on how our behaviour contributes: if we treat models as pets to be carefully raised over months or years, is it any wonder data people rarely rise to lead whole organisations? And are our ways of working, maximising lines of code written and bleeding edges surfed, truly cut out for the monumental task of transforming organisations?

This session will challenge how we traditionally select which models to build, and offer new ideas on how to become more valuable to your organisation.

Key takeaways:

  1. Where did we receive our wisdom on which models to build?
  2. How does this get data scientists “trapped” in local optima?
  3. Why do we avoid time dimensions in our search for value?
  4. What principles will lead us to better choices in what to build? (Hint: we must first recognise the true competition for AI)
Shaun McGirr
Shaun McGirr AI Evangelist Dataiku (UK)
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  • TED-Style Talk
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Why Everyone Should Strive for Diversity in Data & Analytics

Colleen Saunders-Chukwu Associate Vice President: Enterprise Data Office, Nationwide Insurance (USA)
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Why Everyone Should Strive for Diversity in Data & Analytics

As the business landscape becomes more digital and AI-driven, there are key considerations that companies should consider for their consumers - but more importantly, for their workforce. This talk will speak to the current state of diversity in data and analytics, cultural norms, and some key challenges that we face due to a lack of diversity.

The focus of this session will speak to how organisations can influence a cultural mindset and adopt new behaviors to positively impact business value.

Key takeaways:

  1. Understand how lack of diversity negatively impacts your business and workforce
  2. Learn an often missed requirement to your company's data strategy
  3. Learn some simple ways to overcome talent challenges for your organisation in data and analytics
Colleen Saunders-Chukwu
Colleen Saunders-Chukwu Associate Vice President: Enterprise Data Office Nationwide Insurance (USA)
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  • Interactive Session
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How Toyota Financial Services future-proofed its data warehouse with Data Automation

Dr Alex Rummel Managing Director, Slipstream Data Terry Mooney Senior Solutions Architect EMEA, WhereScape (UK)
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How Toyota Financial Services future-proofed its data warehouse with Data Automation

This session will show you how Toyota Financial Services in Germany:

  • Built a new data warehouse using WhereScape Data Automation and the Snowflake Data Cloud
  • Automates manual repetitive processes for long-term time savings
  • Switched from manual ETL to automated ELT and why
  • Produces full documentation and lineage out of the box
  • Performs half a year's worth of batch reloads in just 2 hours

 

We will then see a live demo of how WhereScape Data Automation enables your data warehouse to be designed, built, and managed using a drag-and-drop GUI and a code generator. This enables you to build complex yet reliable data architectures in a fraction of the time it would take with hand-coding.

The session is hosted by WhereScape and its South African partner, Slipstream Data.

Dr Alex Rummel
Dr Alex Rummel Managing Director Slipstream Data
Terry Mooney
Terry Mooney Senior Solutions Architect EMEA WhereScape (UK)
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  • Case Study
11:35 - 12:00
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Connecting the Dots Between Data & Your Business Strategy

Jason Foster Founder & Chief Executive, Cynozure Group (UK)
Open

Connecting the Dots Between Data & Your Business Strategy

Too often organisations make investments in building capabilities without having the right alignment to what they are trying to achieve. This can often lead to missteps, wasted investment, increased silo's and missed opportunity. Creating an organisation that is guided by data is about connecting what you do back to your business strategy. It's about having clarity on what you are trying to solve for and the size of the prize associated with getting this right. Taking lessons from across Public, Private, and the 3rd sector, this opening keynote will help set the tone for how you cut through the noise and focus on the things that really matter to your organisation.

Key takeaways:

  1. Get clarity on what to prioritise
  2. The journey to take that is right for your organisation and stakeholders
  3. What good looks like and outcomes you are trying to achieve
Jason Foster
Jason Foster Founder & Chief Executive Cynozure Group (UK)
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  • Keynote
12:00 - 12:10

Conference Closing

12:10 - 12:30

Partner Demonstrations

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