AFRICA DATA FORUM DATA ANALYTICS MASTER CLASS FOR EXECUTIVES

26-27 July 2017

In this conversational masterclass, led by experienced Executives with deep business and data knowledge, the dilemma above is approached from the point of view of leaders, decision makers, policy makers, managers and executives. Using real case studies to drive practical outcomes, participants will be challenged to think differently about the role of information in planning and everyday execution.

Days to Event

Johannesburg,  26-27 July 2017

Responding to the growing importance of 21st century digital technologies on business strategy and success, this workshop investigates the critical role that data, science and machine learning play in decision making and product/service strategies at highest level. As a participant, you will explore the proper balance between digital and data science skills, and you will emerge better prepared to make decisions that build competitive advantage of your organization. Moreover, you gain an understanding of the role that data intelligent technologies and solutions can play in your organization’s strategy

Join this 2-day executive master class in Johannesburg to learn how smart data science, machine learning and big data intelligence can help your organization achieve its business priorities.

Get the latest insights, trends and discoveries in big data, machine learning and analytics platforms, solutions, languages, and open source ecosystem
Deploy the data analytics lifecycle to address Big Data analytics projects
Machine learning fundamentals, the importance of algorithms, and machine learning as a service.

Topics to be Covered

  • A Data Driven Digital World
  • The Big Data Landscape 
  • Analytics and User Cases
  • Telling the story with data
  • Machine learning 
  •  Big Data Technology
  • Data Analytic Tools
  • Data Analytic Tools Market-Putting The Pieces Together 

Who Should Attend?

  • EXECUTIVES, LEADERS & FOUNDERS!
  • CEO’s, CTOs, CIOs,CDOs and CMOs
  • Company Directors, Non-Technical Executives, and Entrepreneurs
  • Business Managers in technology, business performance, analytics, customer services, marketing, finance, human resources, and sales roles.
  • INDUSTRIES, GOVERNMENT, PUBLIC SERVICES, STARTUPS
  • Government Services & Private Sector
  • Telecommunications
  • Retail
  • Media & Entertainment
  • Tourism & Hospitality
  • Banking & Financial
  • Healthcare
  • Power & Utilities
  • Others

Learning Outcomes and Goals

  • By the end of the master class participants will be able to explain Big Data and the Data Ecosystem.
  • Apply appropriate analytics tools and techniques to collect and analyze Big Data and Identify insights that can lead to actionable results, Leverage advanced analytics to create an organizational competitive advantage.
  • Deploy the data analytics to address Big Data analytics projects. Define machine learning, why it matters and discuss its relationship to analytics, data science and big data.
  • Machine learning fundamentals, the importance of algorithms and machine learning as a service. Highlight the key benefits that are achieved with big data and how to identify, scope and secure support for a suitable pilot project.

Cost : R8 990

Partner With Us

  • To Educate your customer on data capability and data as an asset in a neutral environment, creating a demand for your services and products.
  • An opportunity to engage directly with relevant industry players in operating across Africa.
  • Exposing your brand and increase its awareness amongst African organizations.
  • Opportunity to strengthen new and existing client relationships. You will have a chance to launch new products to your target market.
  • As a partner and/or exhibitor you will enjoy a wide variety of benefits, depending on the selected sponsorship type, These include:
  • Market to relevant target market
  • Raise brand awareness and create preference
  • Provide attractive content for a range of products and services
  • Create internal emotional commitment to the brand

ENQUIRIES: admin@africadataforum.com

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