- 15 Oct 2019 Dubai
Information is power. And information comes from data.
But with the massive amount of data that is available to all organisations today – from within the organisation’s information technology systems and from the outside through the Internet of Things (IoT) and Big Data sources – how do we turn that data into information?
Business intelligence is a collection of tools, techniques and approaches which includes data mining, data science, artificial intelligence, machine learning, neural networks, data visualisation, deep learning and others that identify the sources of data, discern patterns, associations, clusters and relationships in the data to turn data into meaningful information. That information can be used to produce the answers to big questions, diagnose and solve difficult or impossible problems, and even predict the future.
This highly interactive course explores the various forms and architecture of business intelligence and how business intelligence and its associated technologies are used to help organisations make operational and strategic decisions. The course introduces data mining, as it is used to support business intelligence through analysing vast amounts of data to produce information and recommendations by application of association rules, K-Nearest Neighbour (KNN) analysis, clustering, and Market Basket Analysis.
Participants will explore the various visualisation techniques that present the information in formats that help in decision making and predictions. Participants will also study some of the business intelligence and data mining tools, especially for visualisation of data and for predictive analytics.
Who Should Attend
This course is designed for Managers, Executives, Data Scientists, Data Analysts, Business Analysts, professionals working with data analytics or business intelligence, and anyone who needs to understand how to use data to make better decisions.
Benefits of Attending
- Use data-based tools to make more accurate and timely decisions
- Understand the mechanics and architecture behind business intelligence, data mining and Big Data
- Utilise data mining techniques for predictive analysis, to assist in making decisions about the present and predicting future events
- Visualise data using business intelligence and data mining visualisation methods and tools
Steve Blais, PMP, PMI-PBA, has been working in data-related IT fields for several decades and has developed business intelligence applications using Cognos (now IBM® Cognos® Business Intelligence).
He is an industry-renowned Consultant, Trainer, Author, and Speaker who has over 50 years’ experience in Information Technologies. He has worked as a Business Analyst, System Analyst, Information Security Analyst, Programmer, Project Manager, Tester, and General Manager. In addition, Steve has held various development and management positions in his career and has also been in executive positions for several startup companies.
Steve writes a monthly column for Business Analyst Times and is a frequent contributor to AllpM.com, Modern Analyst and other publications. He has presented the keynote addresses at the IPMA European Conference (2013), PMI PacRim Conference in Tokyo (2012), PMI South America in Sao Paolo (2011), and many other conferences around the world in 2019.
He is also the author of Business Analysis: Best Practices for Success (John Wiley, 2011) and co-author of Business Analysis for Practitioners: A Practice Guide (PMI, 2014) and a member of the core team for A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide), v.3 (IIBA, 2015). He has a forthcoming book on Big Data and Data Analytics coming out at the end of 2019.
Sheraton Hotel, Mall of the Emirates
Sheraton Hotel, Mall of the Emirates
Mall of the Emirates
Sheikh Zayed Road, al Barsha 1
Dubai, United Arab Emirates
Telephone: +971 4 377 2000
Course fees include documentation, luncheon and refreshments. Delegates who attend all sessions will receive a Certificate of Attendance.
Pricing excludes 5% VAT, which will be charged where applicable