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Big Data Analytics for the Business Professional (public) – Singapore

3 April @ 08:30 - 4 April @ 17:00

Since it was first defined in 2001, Big Data has made major advances into consumer lives and virtually every organization. According to IDG, a global market intelligence leader, “From 2005 to 2020, the digital universe will grow by a factor of 300 to 40 trillion gigabytes”, approximately the same as 625 Billion iPhone units.

Big Data benefits are becoming increasingly visible due to this growth and the growing organisational acceptance and maturity in the area. According to the National Bureau for Economic Research demand forecast in a retail environment improves as more and more data becomes available. The research found that the firm’s forecast performance, the subject of this study was Amazon, improved over time as a result of gradual improvements due to the introduction of “new models and improved technologies” [1].

According to IBM by 2020 up to 85% of customer services interactions will not involve a human. Growing machine learning and NLP capabilities will allow for chatbots, phone support and self-service interfaces to deliver customer service at an acceptable level. These technologies will reduce errors, increase the speed of resolving customer issues and remove some of the bias present in customer service interactions. The UBS bank has already deployed, using IBM Watson, an avatar based on economist Daniel Kalt to interact with clients. The avatar was trained by Kalt himself and allows customers to speak to Kalt as if he were present physically [2].

While the corporate sector was one of the early adopters, Big Data is making substantial inroads in other areas. Medical science is one of these. The presence of adverse effects in a drug, after clinical trials are completed, is an important consideration for pharmaceutical companies. Pharmacovigilance is an activity with the goal of discovering and understanding harmful side-effects, called adverse events (AE). Natural Language Processing (NLP), heavily reliant on Big Data, was used to enhance the existing pharmacovigilance process by using analysing user comments on various health-related sites and MEDLINE abstracts in addition to the structured information already in use. The results showed that using NLP allowed unreported AEs to be identified, thus improving the existing pharmacovigilance process [3].

At the Masterclass delegates will study how Big Data can help their organisations, review real-life success stories, learn about Big Data sources and Open-source Intelligence (OSINT), examine and evaluate major technologies, start using Artificial Intelligence and prepare a business case for a Big Data project.


  1. Bajari, P., Chernozhukov, V., Hortaçsu, A., & Suzuki, J. (2018). The Impact of Big Data on Firm Performance: An Empirical Investigation. IDEAS Working Paper Series from RePEc, IDEAS Working Paper Series from RePEc, 2018.
  2. Moore, M. (2018). Upgrading the Call Center. Fortune, 178(5), 104.
  3. Yeleswarapu, S., Rao, A., Joseph, T., Saipradeep, V., & Srinivasan, R. (2014). A pipeline to extract drug-adverse event pairs from multiple data sources. BMC Medical Informatics and Decision Making, 14(1), 13.

Masterclass Objectives

During the Masterclass and after successfully completing it, participants will:

  • Study the business rationale for using Big Data
    • Review innovative use cases, such as combining Emotional and Artificial Intelligence (E + A)*I, underpinned by Big Data
  • Appreciate Big Data characteristics and types
  • Understand various Big Data sources and the mechanisms to access them:
    • Learn the foundations of Open-source Intelligence (OSINT)
  • Examine four (4) modern Big Data technologies and be able to:
    • Understand the applications and functionality of each
    • Evaluate the benefits and weaknesses of each
    • Review real-life case studies
  • Design and run different types of Big Data analyses and visualisations, including:
    • How-to create meaningful visualisations with high impact
    • Understand what is Artificial Intelligence (AI) and how to use it
    • Apply AI to a specific task, such as estimating real estate prices
  • Create a business case blueprint for Big Data projects and understand success factors and potential roadblocks
  • Take away a fully functional Big Data environment, with four (4) Big Data technologies, Artificial Intelligence tools and datasets used for analysis.

Intended Audience

           Standard
Option 1: Registration

Includes: attendance fee; catering - morning, lunch, afternoon; practical exercises; scenario work; course notes; use of Big Data/AI software during the course.
          SGD 1,790
Option 2: Registration + Software

Includes: everything in Option 1 + 1-year licence for the Big Data/AI software used during the course (see notes below for Big Data/AI software components).
          SGD 1,990
Option 3: Registration + Software + Mentoring

Includes: everything in Option 2 + 2 hours of consultation and coaching after the course.
          SGD 2,490
Notes:

1. A discount of 5% applies to multiple registrations.

2. "Early Bird" sales end 2 weeks before the scheduled date for the Masterclass.

3. We accept all major currencies. When registering please specify what currency you will be making payment in.

4. The Big Data/AI software includes:
   • fully installed and configured environment;
   • Big Data storage;
   • Artificial Intelligence analytics;
   • datasets used for exercises;
   • step-by-step exercise instructions.

 

Testimonials

The course is very comprehensive, covering all the essentials you need to know when starting big data project. A must for starters.

Ahmad Shah Bin Ahmad Tajudin, Telekom Malaysia


This was an excellent workshop with practical exercises and hands on material. I appreciate the scientific approach to explain Big Data and its applications. I now feel I understand the whole picture of Big data and machine learning.

Montaser Mehyar, ProgressSoft Corporation, Jordan


… This course is for you, if you have been reading headlines about Big Data and want to turn it into something practical, you have the chance to use software and do exercises. And, Mario brings to this a bit of humour, technical expertise … and you’ll come away with various insights ….

Micheal Axelsen, University of Queensland

Your Trainer

Mario Bojilov – MEngSc (Research), Certified Information Systems Auditor (CISA), Graduate Diploma Applied Finance and Investment, PhD Candidate

Mario has worked in the area of Data Analytics and Business Improvement since 1994. He is also a Certified Information Systems Auditor (CISA) and a Lecturer in Accounting Information Systems; IS Control and Governance; Enterprise Resource Planning; Systems Analysis and Design.

Over the last 12 years, Mario Bojilov has taught 1,500+ university students and 350+ professionals in the areas of Finance, Digital Technologies, Risk and Audit. He has delivered industry training courses and presentations in Australia, UAE, Singapore, Malaysia and Philippines.

Mario founded Meta Business Systems in 2004 of which he is the current Chief Executive Officer. The company is focused on business improvement, performance monitoring and data governance. A number of Government and Higher Education organisations have used solutions designed and implemented by Meta Business Systems.

Projects managed and delivered by Mario Bojilov and his team covered a variety of key business processes, such as Payroll, Finance, Procurement, Revenue Management, Treasury, HR and others. Examples of projects include, Data Warehouse/Business Intelligence (12 processes/95 reports), Financial Statements production ($800+ revenue), Payroll monitoring (12,000 employees), Revenue verification, Fraud Detection, etc.

Mario Bojilov holds a Master of Engineering Science Degree from the University of Queensland, a Graduate Diploma of Applied Finance and Investment from the Financial Services Institute of Australasia (FINSIA) and is currently a PhD Candidate with research topic in the area of Using Artificial Intelligence for Cybercrime Detection.

Mario Bojilov has co-authored the following academic articles: Privacy and Big Data and Continuous Auditing and Continuous Monitoring in ERP Environments: Case Studies of Application Implementations. He is also a contributor to Medium – https://medium.com/@Mario.Bojilov and hosts a channel – https://goo.gl/ujS8ky on YouTube.

Pricing

           Early Bird          Standard
Option 1: Registration

Includes: attendance fee; catering - morning, lunch, afternoon; practical exercises; scenario work; course notes; use of Big Data/AI software during the course.
          USD 790          USD 930
Option 2: Registration + Software

Includes: everything in Option 1 + 1-year licence for the Big Data/AI software used during the course (see notes below for Big Data/AI software components).
          USD 1,070          USD 1,210
Option 3: Registration + Software + Mentoring

Includes: everything in Option 2 + 2 hours of consultation and coaching after the course.
          USD 1,490          USD 1,770
Notes:

1. A discount of 5% applies to multiple registrations.

2. "Early Bird" sales end 2 weeks before the scheduled date for the Masterclass.

3. We accept all major currencies. When registering please specify what currency you will be making payment in.

4. The Big Data/AI software includes:
   • fully installed and configured environment;
   • Big Data storage;
   • Artificial Intelligence analytics;
   • datasets used for exercises;
   • step-by-step exercise instructions.

Register Now!

Details

Start:
3 April @ 08:30
End:
4 April @ 17:00

Organizer

MBS Academy
Website:
www.mbs-academy.com.au

Venue

Holiday Inn Singapore Orchard City Centre
11 Cavenagh Rd
Singapore, 229616 Singapore
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