Day 2 - 18 March 2020

09:30AM

Big Data Business Solutions: Chair’s Welcome and Opening Remarks

09:50AM

Keynote: Delivering business value through Data Analytics

  • Accessing the power of unstructured data through machine learning
  • Creating business value and actionable insights from unstructured data
  • How images, video, speech and text can all be better recognised and processed
  • Key use cases and data sets that can benefit most from a ML approach

10:20AM

Mike Fish

Advisor

Consilience Ventures

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Camilo Amarcy

Head of Data & Analytics

absa Bank Mozambique

Associated Talks:

10:30AM - Day 1

View Panel: Data and the customer

10:20AM - Day 2

View Panel: Creating a data-driven culture

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Panel: Creating a data-driven culture

  • Establishing evidence-based decision making as a core part of the digital workplace
  • Defining a clear strategy to leverage data whenever and wherever possible to enhance business efficiency and effectiveness
  • Putting big data at the heart of your business
  • Closing the data literacy gap, hiring talent and getting buy in from the top.
Moderator: . Mike Fish, Advisor , Consilience Ventures
. Camilo Amarcy, Head of Data & Analytics, absa Bank Mozambique

11:00AM

Networking Break

11:30AM

Jan Teichmann

Senior Data Science Consultant

The Trainline

Associated Talks:

11:30AM - Day 2

View Beating the odds: How to make your data project or team part of the 15% success story.

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Beating the odds: How to make your data project or team part of the 15% success story.

Making data science a success is really hard with up to 85% of projects and initiatives around big data and data science failing, according to Gartner. The reasons are complex but often misunderstood. As project management begins to grapple with the opportunities presented by data science those responsible for implementation need to proceed with care.

What is so different about data that it needs new approaches? This talk will focus on the requirements for data science success and looks at a future after the hype:

  • Motivation: Vanity project or aligned business strategy with senior leadership buy-in?
  • Requirements and preparations: Solid foundations or duct taped data silos and constant fire fighting bad data?
  • Hiring: Unicorns with the right skill sets to be a commercial data scientist or expensive mis-hires?
  • Delivery: Models in production serving business needs or undocumented proof of concepts on laptops?
  • Retention: Roadmap of game changing projects or abandoned team and expensive write-offs?
. Jan Teichmann, Senior Data Science Consultant, The Trainline

12:00PM

Implementing a successful data monetization strategy

  • Leveraging data to improve your company’s operations, productivity and products
  • Identifying new revenue opportunities
  • Making data available to customers / partners

12:30PM

Networking Break

02:00PM

Afternoon Keynote: Making Big Data the centre of your business model

  • What problems is Big Data helping to solve?
  • What data will be used? How will it be generated and analysed?
  • How to encourage Big Data Innovation and stay ahead of the pack.

02:30PM

Andy Cotgreave

Technical Evangelism Director

Tableau

Associated Talks:

02:30PM - Day 2

View Clear and Presentation Danger: how to share your data-driven insights

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Clear and Presentation Danger: how to share your data-driven insights

You know the feeling. You’re in a meeting and the presenter is sharing data-driven insights. But they make no sense! It’s not the data that’s the problem, it’s the way they are presented. This is the Last Mile of Data Analytics. All your investment in people and technology means nothing if you do not effectively share the insight with others, in order to drive better decisions. Designing charts for meetings, presentations or even keynotes is a learnable skill. Andy Cotgreave, author of the Big Book of Dashboards, and Computing’s Analytics Professional of the Year, has sat through thousands of meetings, and seen many crimes committed against data. He’s even committed many himself. He’s also seen how effectively it can be done, with a little bit of effort. In this keynote, Andy will share his tips on presenting data effectively. You will leave with a bunch of easy-to-apply tricks to make your charts punch home their message in every meeting or presentation you lead.

 

 

. Andy Cotgreave, Technical Evangelism Director, Tableau

03:00PM

Víctor Morón Tejero

Data Scientist Lead

Nectar Loyalty

Associated Talks:

03:00PM - Day 2

View From data analytics to data science driven

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From data analytics to data science driven

This talk will cover the challenges we found to start implementing a data science team both from the technical and human point of view, by going through at least one example of a model implementation at nectar.

Main points will  include:

  • Technology needed (and problems/limitations with old/new technology)
  • Skills involved further than Data Science
  • Improvements regarding previous implementation
. Víctor Morón Tejero, Data Scientist Lead, Nectar Loyalty

03:30PM

Panel: Improving Business performance with data science

  • Understanding what data science can and can’t do
  • Translating data science capability into business results
  • Securing support from stakeholders
  • Building Data Science capabilities from the ground up

04:10PM

Session Close

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