THANK YOU TO OUR 2020

SPEAKERS

Thank you to our incredible speakers! This carefully-selected group of innovative global and South African BI specialists zoned in on the technology and ideas that are transforming the BI space.

Jutta Reindler BI Innovator Siemens Healthineers AG, Computed Tomography (GER)
Nick Desbarats Independent Data Visualisation & Dashboard Design Educator Practical Reporting Inc. (CAN)
Eric Siegel Coursera Instructor: “Machine Learning for Everyone”, Author: “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” (USA)
Matthew Bernath Data Analytics Leader Investment Banking
Dietmar Böhmer Chief Analytics Officer TymeGlobal (HKG)
Charles Reeves Jr. Director of Business Intelligence Epiphany Technology Solutions, LLC. (USA)
Michiel van Staden Data Analytics Lead ABSA
Graeme Codrington Futurist | Scenario Planner | Speaker | Author | Unlearner | Specialist in Disruption and the Future of Work Tomorrow Today Global
Jacky Mampana Head of Data, Insights & Analytics Hollard Insurance
Farai Ticharwa Head: Business Intelligence & Sales Force Effectiveness Adcock Ingram Healthcare (Pty) Ltd
Siobhain O’Mahony Analytics | Investments | Non-executive Director Investec
Morne Bosch-Serfontein Chief Data Officer MultiChoice Group
Julian Nkuna Applied Data Scientist E-Commerce Sector
Maritza Curry Head of Data RCS Group
Colin Phillips Senior Data Scientist Discovery
Kago Rendoh IM Manager: Data Analytics & AI Debswana Diamond Company (BW)
Francis Chanda Mumbi Head Data Officer Stanbic Bank Zambia (ZMB)
Dirko Hay CEO StreamBurst
Liam Mulligan Account Director Fivetran (IRL)
Rebecca Comer Account Director Fivetran (IRL)
Angela Rademeyer Head of Operations Analytics Discovery
Darron Walton CEO DVW Analytics (UK)
Kevin van der Merwe Qlik Sales Director iOCO
Schalk Blanché Qlik Pre-Sales Consultant iOCO
Willem Thompson Data Science Delivery Lead BMW South Africa
Chetan Gordhan Cloud Solution Architect: Data & AI Microsoft
Danie Smit Group IT: ZA Hub BMW Group
Jacques Adriaansen Business Improvement Thought Leader Every Angle (NLD)
Peter Blignaut Presales Manager: Business Technology Platform SAP
Ben Strydom Consulting Manager Glue Data
Viven Govender SAP Consultant Dimension Data
Richard Henderson Lead Solution Architect Tigergraph
Ajay Anand Chief Product Officer Kyvos Insights, Inc. 
Myles Rennie Head of Data & Analytics Capitec
Kamil Bajda-Pawlikowski CTO and Co-Founder Starburst Data
David Rolfe Global Director Telco and IoT VoltDB DB
Mpho Popps Comedian Independent
Jutta Reindler BI Innovator Siemens Healthineers AG, Computed Tomography (GER)
Nick Desbarats Independent Data Visualisation & Dashboard Design Educator Practical Reporting Inc. (CAN)
Eric Siegel Coursera Instructor: “Machine Learning for Everyone”, Author: “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die” (USA)
Matthew Bernath Data Analytics Leader Investment Banking
Dietmar Böhmer Chief Analytics Officer TymeGlobal (HKG)
Charles Reeves Jr. Director of Business Intelligence Epiphany Technology Solutions, LLC. (USA)
Michiel van Staden Data Analytics Lead ABSA
Graeme Codrington Futurist | Scenario Planner | Speaker | Author | Unlearner | Specialist in Disruption and the Future of Work Tomorrow Today Global
Jacky Mampana Head of Data, Insights & Analytics Hollard Insurance
Farai Ticharwa Head: Business Intelligence & Sales Force Effectiveness Adcock Ingram Healthcare (Pty) Ltd
Siobhain O’Mahony Analytics | Investments | Non-executive Director Investec
Morne Bosch-Serfontein Chief Data Officer MultiChoice Group
Julian Nkuna Applied Data Scientist E-Commerce Sector
Maritza Curry Head of Data RCS Group
Colin Phillips Senior Data Scientist Discovery
Kago Rendoh IM Manager: Data Analytics & AI Debswana Diamond Company (BW)
Francis Chanda Mumbi Head Data Officer Stanbic Bank Zambia (ZMB)
Dirko Hay CEO StreamBurst
Liam Mulligan Account Director Fivetran (IRL)
Rebecca Comer Account Director Fivetran (IRL)
Angela Rademeyer Head of Operations Analytics Discovery
Darron Walton CEO DVW Analytics (UK)
Kevin van der Merwe Qlik Sales Director iOCO
Schalk Blanché Qlik Pre-Sales Consultant iOCO
Willem Thompson Data Science Delivery Lead BMW South Africa
Chetan Gordhan Cloud Solution Architect: Data & AI Microsoft
Danie Smit Group IT: ZA Hub BMW Group
Jacques Adriaansen Business Improvement Thought Leader Every Angle (NLD)
Peter Blignaut Presales Manager: Business Technology Platform SAP
Ben Strydom Consulting Manager Glue Data
Viven Govender SAP Consultant Dimension Data
Richard Henderson Lead Solution Architect Tigergraph
Ajay Anand Chief Product Officer Kyvos Insights, Inc. 
Myles Rennie Head of Data & Analytics Capitec
Kamil Bajda-Pawlikowski CTO and Co-Founder Starburst Data
David Rolfe Global Director Telco and IoT VoltDB DB
Mpho Popps Comedian Independent

Secrets That Your System Reveals with Process Mining

Siemens Healthineers Computed Tomography uses process mining to gain insights on scanner workflows. Machine Data is combined with customer and service data to check the usability and performance of the scanner’s operating software. Quality and user acceptance of feature innovations can be tested with the process mining solution.

Key takeaways:

  • Process Mining is a great new technology to visualise workflows
  • It can be used in any process that creates timestamps in a database
  • It is perfect for all office or “non- touchable” processes that are currently out of analytical reach

Why Do So Many Dashboards Fail Users?

Most dashboards fail. Rates of user satisfaction are almost always low, and many dashboards end up under-used or abandoned. In this eye-opening talk, dashboard expert Nick Desbarats reveals the real reasons why dashboards have been letting users down for 30+ years, and the fundamentally different approaches that are needed in order to create dashboards that deliver real value to organisations, and that users actually like.

Key takeaways:

  • Multi-purpose dashboards don’t work (make purpose-specific ones instead)
  • Monitoring displays for multiple roles don’t work (make role-specific ones instead)
  • “Wall of numbers” dashboards don’t work (visually flag metrics that require attention instead)

Predictive Analytics and Machine Learning: Delivering on the Promise of Data Science

The excitement over data science has grown dramatically. But what is the value, the function, the purpose? The most actionable win to be gained from data is prediction. This is achieved by analytically learning from data how to render predictions for each individual. Such predictions drive more effectively the millions of operational decisions that organizations make every day.

In this keynote, Predictive Analytics World founder and “Predictive Analytics” author Eric Siegel reveals how machine learning – aka predictive analytics – works, and the ways in which it delivers value to organizations across industry sectors.

Ethical AI – Building AI We Are Proud Of

Ethics of AI is a topic that is now being greatly discussed in boardrooms around the world. Stephen Hawking famously stated that “AI would be humankind’s best or last invention”. As companies are adopting AI technologies to enhance their service offerings and remain competitive, we must ensure that these tools are being built on a solid foundation. How do we ensure that AI is not perpetuating bias or marginalising certain customers? In this talk, Matthew offers some ideas on how to adopt principles to help companies build AI solutions they can be proud of.

Key takeaways:

  • What are the risks of AI
  • What is happening globally regarding AI ethics
  • What can I implement today to ensure our AI is built in an ethical manner

The Future of BI – An Interactive Discussion

Modern advances in Business Intelligence will continue to progress and the future is going to become more automated and ultilised with fewer restrictions. Future trends within the BI space are all part of an evolving model that is critical to the development of modern businesses. What is the future of BI in your opinion? What features and functionalities would you expect to become a standard for BI software?

Disrupt by Maximising the Value of Data Analytics, Machine Learning and AI

One of TymeBank’s foundational pillars in setting itself up to disrupt the South African banking landscape is be a data driven organization. Learn how we set ourselves up in order to achieve this – ensuring there’s a constant flow of relevant information and insights to decision makers, all the way to automation and decision-making through the use of machine learning and AI, to help attract, maintain and maximize the value to and from our customers. Maximizing the value that machine learning and AI brings needs a lot more than just hiring a good team of data scientist. Creating the right environment to expose and ingest data, wrangle the data, training, understanding and deploying the models, to monitoring the performance of the models are all crucial elements to realizing and unlocking the value that analytics, machine learning and AI bring.

Key takeaways:

  • Setting yourself up to unlock and maximize the value of data
  • Ensuring you have real speed in delivering insights
  • Utilizing real-time event driven data
  • The value of a machine learning pipelines

The Future of BI – An Interactive Discussion

Modern advances in Business Intelligence will continue to progress and the future is going to become more automated and ultilised with fewer restrictions. Future trends within the BI space are all part of an evolving model that is critical to the development of modern businesses. What is the future of BI in your opinion? What features and functionalities would you expect to become a standard for BI software?

How do I Digitally Transform my Organisation into a Data-Driven Organisation?

This presentation will highlight the three areas to focus on when digitally transforming an organisation to become data-driven.

  1. People: Strategies to review, assess and train business and IT resources to make decisions based on data and analytics
  2. Process: Strategies to review, assess and develop processes to make decisions based on data and analytics
  3. Technology: BI technology strategy focused on Data Warehousing, Data Management and Governance, Reporting & Analytics

 

Key takeaways:

  • The three strategies for using Business Intelligence for a digital transformation

BI in the Moment

Leadership spends most of their day in meetings, making decisions. Operations are mostly busy doing operations, taking decisions. In the spaces between, there is hopefully some time for all to engage the relevant colleague communication platforms, decision-making.

When running, we run. Every now and then we might pause to catch our breath, engage those around us. Whilst running, there are apps that feed us relevant info on our progress as we go and on pausing, gives us just what we need to decide on the way forward. Coming from 13 years in data analytics experience across fraud prevention, credit risk & operations to digital & marketing, I will be talking about the practical ways to feed decision-making in workplace meetings, operations, and the spaces between with relevant info, BI in the moment.

Key takeaways:

  • Understand your business
  • Understand your audience
  • Give them what they need

Re-imagine: How the Covid Crisis Can Accelerate Innovation in Your Business

Covid is the first of many disruptions facing us in the 2020s – a decade that promises more change than any other we’ve lived through. The biggest mistake we can make now is to wish for everything to “get back to normal”. We need to leverage the Covid crisis to improve our innovation DNA. Futurist and scenario planner, Graeme Codrington, will share insights from the TomorrowToday Global team’s innovation framework and what their clients have been doing during lockdown to prepare for the rest of the 2020s.

The Ins and Outs of a Data Governance Framework & Why it Matters for a Modern Organisation

Hollard Insurance, like most companies in the insurance industry in South Africa, is under intense focus from the regulators and is also in the middle of executing strategies to become a modern, data-centric organisation. In line with the above objectives, the company has identified the need to manage and govern the data in its possession so as to comply with the twin peaks regulations such as PPR, POPIA and IFRS17, which are data intensive in nature. We are also overhauling the People, Processes and Technology aspects of our data as an asset so as to remain competitive in a changing sector, where companies are leveraging their data to improve productivity, design better products and services and to improve customer experience.

All of the above was achieved through the design and implementation of a robust and world-class data governance framework across the group, which is now in year 2 of implementation. Jacky Mampana, Head of Data, Insights and Analytics at HPS shares insights on this journey and provides a real-life template on how other companies can implement their own Data Governance framework.

Developing a Comprehensive Data Quality & Integrity Management Framework to Influence a Data Driven Culture

The scope of data demand has been through multiple stages of development over the past decades. However, the challenge that remains is on how an organisation can influence a data driven organisational culture through data quality and integrity management. In this presentation, we explore approaches to developing a comprehensive data quality and integrity management framework capable to influence a data driven organizational culture.

Keywords: Data processing, Using data for decision making, Reporting processes, User feedback

Key takeaways:

  • Understanding the dynamic role of business intelligence
  • Understanding the importance of data quality management
  • Explore efficient organisational data management framework

Data is the New Oil, But it’s Also the New Oil Spill (The Basics of a Good Data Strategy)

Organisations are generating, collecting, storing, processing, analysing and distributing significant amounts of data at a rapidly increasing rate. Data is being generated by everything from cameras to cellphones to medical devices, which enables richer insights into human and ‘things’ behaviour. As a result, it may seem obvious that organisations understand the importance of using data and how to get value out of it. But, you would surprised by how many organisations do not have a formalised data strategy, and for those who do, by how many do not align their data strategy and analytics initiatives with overall business objectives. To fully exploit data for competitive advantage, organisations need to create a sophisticated climate within which business strategies, business structures and analytics are fully aligned to develop and deploy data-driven decision-making capabilities.

Key takeaways:

  • Understanding key components of data strategy (defense and offense)
  • Key elements in aligning data strategy to business strategy
  • Key elements of data democratisation

From Data Stagnation to Data Transformation – Establishing an Information-Driven Culture

Culture refers to the collective, integrated behaviors, beliefs, knowledge and wisdom of a group of people – it is something that is cherished and nurtured because it is of great value to those who subscribe to it. But, how do you create a collective, integrated analytics community at your organisation? How do you change the ingrained data and analytics behaviors in your organisation to drive insights, wisdom and real value for the organisation? What does it even mean to be an information-driven organisation? This panel will bring together data and analytics leaders with proven track records in data transformation to not only answer these questions, but give practical tips on how to kick start your data transformation journey.

Key takeaways:

  • Demystify “information driven company” – what does it mean for different industries and companies with different D&A maturity levels?
  • Components / focus areas of a data transformation strategy
  • Pitfalls and critical success factors for executing a data transformation strategy

The New Way of Being Data-Centric

In this world where data is an asset, giving a competitive advantage, every interaction and every activity is an opportunity to collect and use data. To do this, you need to implement a data management platform and policies to govern data and information assets that your company know, trust, and own in order to protect your data.

To effectively drive value, you will have to leverage Augmented Analytics, Big Data, Machine learning (ML), and Artificial Intelligence (AI) technologies to increase value from data assets and deliver real-time data streaming and analytics. What has MultiChoice done to support this data strategy?

Key takeaways:

  • Practical approach that drives business value
  • Consider the change and impact of new ways of working
  • Obtain international leading practice inputs

AI Does Not Replace, AI Supplements: Why Commercial Acumen is More Important Than Your Model

One thing I’ve learned having worked in an infant machine learning market in South Africa is that machine learning should be seen as tool and not the complete overhaul of existing structures. Companies have prematurely invested in AI without interrogating their business needs. AI does not replace anything known but complements the IT solution space with further options . I will be speaking to some of the steps used to create seamless data products without heavy premature investments and wasted tools. Julian shares insights on commercial acumen as the key factor in leveraging data & machine learning for your business needs.

Key takeaways:

  • Machine Learning should be used as a tool and not replacement
  • Commercial Acumen is a key trait for anyone working with data
  • The Minimum Viable Data Product is key to streamlining AI implementation

From Data Stagnation to Data Transformation – Establishing an Information-Driven Culture

Culture refers to the collective, integrated behaviors, beliefs, knowledge and wisdom of a group of people – it is something that is cherished and nurtured because it is of great value to those who subscribe to it. But, how do you create a collective, integrated analytics community at your organisation? How do you change the ingrained data and analytics behaviors in your organisation to drive insights, wisdom and real value for the organisation? What does it even mean to be an information-driven organisation? This panel will bring together data and analytics leaders with proven track records in data transformation to not only answer these questions, but give practical tips on how to kick start your data transformation journey.

Key takeaways:

  • Demystify “information driven company” – what does it mean for different industries and companies with different D&A maturity levels?
  • Components / focus areas of a data transformation strategy
  • Pitfalls and critical success factors for executing a data transformation strategy

What Happens in Operations Should Not Stay in Operations

Every second, your customers are leaving thousands of traces behind as they navigate your systems via various servicing channels. Yet for many organisations, these traces remain as archived data rather than being enthusiastically explored by data scientists! A little known (in SA at least) analytics field is that of operations research (OR). OR is dubbed as the ‘science of better’, being concerned with using statistical techniques to detect inefficiencies and optimise processes. In this talk we will explore new concepts we are applying at Discovery to enhance customer experiences and the implications these have for the entire business.

Key takeaways:

  • Operations & servicing analytics are critical to any business
  • Operations research is a discipline worth knowing about
  • Operations data is probably the most varied type for a data scientist to explore

Developing an Effective Data Strategy

Debswana Diamond Company produces vast amounts of data and over the years this has created both an opportunity for data analytics and a data management problem. Despite having an array of business solutions, the organisation faced challenges such as lack of data ownership, uncoordinated data processes and no clearly defined data governance framework. In order to address this, the organisation undertook a project to develop a Data Strategy. The company is in the process of completing this initiative and it has already began to realise the value within the business. Come and hear how we followed a four step approach to setting a strong foundation to becoming a data driven organisation.

Key takeaways:

  • Timely decisions are made with reliable and updated data, driving decision accuracy and relevance.
  • Create a single source of truth which will assist as a foundation for business insights.
  • Automate repetitive or mundane data related tasks.
  • A good data management and governance framework is key.

The Future of BI – An Interactive Discussion

Modern advances in Business Intelligence will continue to progress and the future is going to become more automated and ultilised with fewer restrictions. Future trends within the BI space are all part of an evolving model that is critical to the development of modern businesses. What is the future of BI in your opinion? What features and functionalities would you expect to become a standard for BI software?

From Data Stagnation to Data Transformation – Establishing an Information-Driven Culture

Culture refers to the collective, integrated behaviors, beliefs, knowledge and wisdom of a group of people – it is something that is cherished and nurtured because it is of great value to those who subscribe to it. But, how do you create a collective, integrated analytics community at your organisation? How do you change the ingrained data and analytics behaviors in your organisation to drive insights, wisdom and real value for the organisation? What does it even mean to be an information-driven organisation? This panel will bring together data and analytics leaders with proven track records in data transformation to not only answer these questions, but give practical tips on how to kick start your data transformation journey.

Key takeaways:

  • Demystify “information driven company” – what does it mean for different industries and companies with different D&A maturity levels?
  • Components / focus areas of a data transformation strategy
  • Pitfalls and critical success factors for executing a data transformation strategy

Extracting Real Value From Your SAP Data

Many SAP customers today still find it challenging to maximize their investment in SAP data and to extract real value from it. To be able to get value from SAP data one needs to keep several key concepts in mind. These include fast ETL/ELT, blending of data sources, automation, data migration, and self-service. In this session, we will show you how it is possible to monetise investments made in SAP and effectively automate data processes around any SAP data. BW, and data migrations between SAP and other systems.

Key takeaways:

  • Extract real value from any SAP data
  • Simplify SAP data migrations
  • Fastest ways to make SAP data available for analysis

Happy Hour

Fast, Faster, Fastest. Join our experts to hear about what fast analytics really means in today’s environment, and how it could change what we think about what is possible.

From Months to Minutes, How Companies Utilise Fivetran to Accelerate Analytics

The main benefit of a cloud-based modern data stack is the ability to integrate data from disparate sources. This allows you to build a 360-degree view of your business and perform advanced analytics. In this session, you will learn the value of migrating to an ELT approach and how other organisations use Fivetran to increase cost savings, reliability & speed of data access and save engineering hours/resources. This session will include a live demo of the product, customer use cases, and a Q&A session.

Key takeaways:

  • How to scale analytics access
  • Creating a data-driven culture in your organisation
  • How to setup Fivetran connectors

From Months to Minutes, How Companies Utilise Fivetran to Accelerate Analytics

The main benefit of a cloud-based modern data stack is the ability to integrate data from disparate sources. This allows you to build a 360-degree view of your business and perform advanced analytics. In this session, you will learn the value of migrating to an ELT approach and how other organisations use Fivetran to increase cost savings, reliability & speed of data access and save engineering hours/resources. This session will include a live demo of the product, customer use cases, and a Q&A session.

Key takeaways:

  • How to scale analytics access
  • Creating a data-driven culture in your organisation
  • How to setup Fivetran connectors

What Happens in Operations Should Not Stay in Operations

Every second, your customers are leaving thousands of traces behind as they navigate your systems via various servicing channels. Yet for many organisations, these traces remain as archived data rather than being enthusiastically explored by data scientists! A little known (in SA at least) analytics field is that of operations research (OR). OR is dubbed as the ‘science of better’, being concerned with using statistical techniques to detect inefficiencies and optimise processes. In this talk we will explore new concepts we are applying at Discovery to enhance customer experiences and the implications these have for the entire business.

Key takeaways:

  • Operations & servicing analytics are critical to any business
  • Operations research is a discipline worth knowing about
  • Operations data is probably the most varied type for a data scientist to explore

Extracting Real Value From Your SAP Data

Many SAP customers today still find it challenging to maximize their investment in SAP data and to extract real value from it. To be able to get value from SAP data one needs to keep several key concepts in mind. These include fast ETL/ELT, blending of data sources, automation, data migration, and self-service. In this session, we will show you how it is possible to monetise investments made in SAP and effectively automate data processes around any SAP data. BW, and data migrations between SAP and other systems.

Key takeaways:

  • Extract real value from any SAP data
  • Simplify SAP data migrations
  • Fastest ways to make SAP data available for analysis

Augmented Intelligence Accelerating Time to Insight

Artificial intelligence (AI) is one of the most disruptive forces in technology that we will see in our lifetimes. We now see that BI being transformed and next generation tools will create a powerful synergy between human intuition and machine intelligence.

Augmented Analytics can raise the data literacy of your entire workforce, and shorten time to insight.
The benefits of which include AI created automated context aware insights, accelerated content creation though context aware search and AI suggested best fit visualisations. In this session, we will show and demo an innovative view of augmented intelligence through Qlik visualisation tools.

Key takeaways:

  • Creating automatic insights
  • Augmented intelligence
  • Accelerated context aware search

Augmented Intelligence Accelerating Time to Insight

Artificial intelligence (AI) is one of the most disruptive forces in technology that we will see in our lifetimes. We now see that BI being transformed and next generation tools will create a powerful synergy between human intuition and machine intelligence.

Augmented Analytics can raise the data literacy of your entire workforce, and shorten time to insight.
The benefits of which include AI created automated context aware insights, accelerated content creation though context aware search and AI suggested best fit visualisations. In this session, we will show and demo an innovative view of augmented intelligence through Qlik visualisation tools.

Key takeaways:

  • Creating automatic insights
  • Augmented intelligence
  • Accelerated context aware search

Digitally Enabled Reliability: Sensors, Big Data and Machine Learning

Connected assets on the production line allow the modern manufacturing firms to transform their production lines to be more efficient and provide actionable insight. Extensive sensor integration and machine-learning techniques allows for processing high-volume production data and warn operations and maintenance staff on the condition of the plant. Visual information and configurable alerts make it easier to see where the plant is doing fine, and where it needs a little help. Actionable messages are sent in various formats to support preventative maintenance tasks.

Key takeaways:

  • Approach for implementing predictive maintenance
  • Important considerations for big data, data ingestion & algorithms
  • Lessons learnt from implementing these type of solutions

Come & See How Microsoft Azure Synapse Can Help Your Data Driven Organisation Optimise Your Data Use for Analytics & Insights

In a data-driven world and the amount of data that are being created how can we effectively manage and use the data for insights and analytics so that it can be impactful. Tools and platforms play a big part in making the data relevant to the business and end users. Microsoft Synapse is a platform to process and allow business to use the data seamlessly for decisions and reporting. Let get together and see how this is possible on Microsoft Azure Synapse.

The Future of BI – An Interactive Discussion

Modern advances in Business Intelligence will continue to progress and the future is going to become more automated and ultilised with fewer restrictions. Future trends within the BI space are all part of an evolving model that is critical to the development of modern businesses. What is the future of BI in your opinion? What features and functionalities would you expect to become a standard for BI software?

True Business User Self-Service on SAP Data – It’s a Reality, Not a Myth

“Building an Information-Driven Culture” is one of the seven hot topics of this conference. It’s interesting to see “information-driven”, instead of “data-driven”. Eli Goldratt, the author of the book “The Goal”, once clearly defined information as “the answer to the question asked”, which gives a new perspective on the notion “information system”.

In this session, we answer two crucial topics, both conceptually as well as in a demo:

  1. How to turn SAP-data into information?
  2. How to empower a business user to ask business questions himself, and get the answer swiftly, without having to bother the IT department?

 

Key takeaways:

  • SAP data model complexity is a roadblock to be solved to generate information and to empower business users
  • True Business User Self-Service is mandatory in a continuously changing environment
  • True Business User Self-Service empowers business users to answer more than 90% of their ad-hoc business questions, within three minutes, without the help of IT

Happy Hour

Logic-sticks: Refreshing views on Business Strategy and Logistics by an Operations Management expert with an IT/BI background (who also sings once in a while). Jacques Adriaansen, age 64, has a long career as a researcher, management consultant, executive professor, and entrepreneur in Operations Management and IT. He and his colleagues often wondered why they bump into misalignment so often in industry… people working past each other or simply working against each other, as if there is no shared goal, leading to huge time losses. Their research shows that misalignment is the effect of incorrectly applying good management techniques, applying wrong management techniques, applying faltering performance measurement systems, or by people ‘simply not seeing it’ or just turning off their thinking ability. Content for a long and heavy presentation on ‘Misalignment, the cause – the costs – the remedy’… Right? Nope! This is a happy hour! So, in his typical entertainer style, Jacques will show you with a few simple examples where this misalignment misery can come from, and what you can do about it.

Unboxing Analytics: Modern Challenges to Analytics Adoption

Taking a look back at Business Intelligence and Analytics even a few years ago we see a very different set of challenges to those we face today. Modern technology must deliver Business Intelligence to users who are adept at using technology while respecting governance rules and integrating advance analytics. The Intelligent Enterprise aims to ensure that analytics adoption isn’t doesn’t just produce better spreadsheets but rather to integrates data management and analytics with business processes to drive better business outcomes.

The Painless Disruptor: Using Traditional BI in a Non-Traditional Use-Case

BI technologies and techniques are widely used by almost all companies. From Prescriptive analytics to Machine learning and Big Data technologies, these solutions provide business with innovative ways to derive insights from transactional data. However, the amount and quality of these insights are directly proportional to the quality and completeness of the related master data. By utilizing a customer’s existing toolsets and supplementing these with low barrier to entry cloud technologies, GlueData is able to help customers improve their master data quality at source, and increase the ROI of their existing BI footprint.

BI in the Cloud – The View From 50 000ft

SAP Analytics Cloud provides organisations with an opportunity to re-imagine business intelligence. Learn how Dimension Data is helping organisations unlock this value through a simple framework that decreases time to market, increases ownership and promotes continuous improvement.

Happy Hour

Fast, Faster, Fastest. Join our experts to hear about what fast analytics really means in today’s environment, and how it could change what we think about what is possible.

Happy Hour

Fast, Faster, Fastest. Join our experts to hear about what fast analytics really means in today’s environment, and how it could change what we think about what is possible.

From Data Stagnation to Data Transformation – Establishing an Information-Driven Culture

Culture refers to the collective, integrated behaviors, beliefs, knowledge and wisdom of a group of people – it is something that is cherished and nurtured because it is of great value to those who subscribe to it. But, how do you create a collective, integrated analytics community at your organisation? How do you change the ingrained data and analytics behaviors in your organisation to drive insights, wisdom and real value for the organisation? What does it even mean to be an information-driven organisation? This panel will bring together data and analytics leaders with proven track records in data transformation to not only answer these questions, but give practical tips on how to kick start your data transformation journey.

Key takeaways:

  • Demystify “information driven company” – what does it mean for different industries and companies with different D&A maturity levels?
  • Components / focus areas of a data transformation strategy
  • Pitfalls and critical success factors for executing a data transformation strategy

Happy Hour

Fast, Faster, Fastest. Join our experts to hear about what fast analytics really means in today’s environment, and how it could change what we think about what is possible.

Happy Hour

Fast, Faster, Fastest. Join our experts to hear about what fast analytics really means in today’s environment, and how it could change what we think about what is possible.

Happy Hour

Our Diamond Partner, SAP, brings you Mpho Popps. Mpho is a remarkable South African comedian who is best known to TV viewers for being one of the superstars to compete in the sixth edition of the SABC3 reality dancing competition Strictly Come Dancing, in 2013. Now Mpho Popps has become huge in South Africa as major TV and film star. Out of the clatter and the publicity one humble and physically slender young comic seemed to arise, a fully formed talent.