Start date and time
July 19, 2013 9:00 AM
End date and time
July 19, 2013 5:00 PM
(GMT+08:00) Kuala Lumpur, Singapore
The Lab @ Deloitte Analytics Institute
Asia 77 Robinson Rd, #09-02, Singapore
Tel : 6530 5575
Fax: 6538 6166
Email: firstname.lastname@example.org Registration options
Event registration is closed. Payment Information
Single Participant: SGD 790 (inclusive of GST)
Group Registration (3 or more per organization):SGD 690 (inclusive of GST)
Crossed cheques are to be made payable to “Deloitte & Touche LLP” and mailed to:
Deloitte & Touche LLP
6 Shenton Way
#32-00, Tower Two
Attn: Noeline Keiser Cancellation Information
Fees are not refundable. Replacement is permissible with substitute attendees.
We reserve the rights to make any amendments to the programme, venue, speaker and topics if warranted by circumstances beyond our control.
Presented by Deloitte Analytics Institute | Asia
This immersive, one-day session introduces senior leaders to business analytics and big data, and helps them think about the strategic application of analytics in their work.
The class of
16 senior level candidates (allocated on first-come-first-served basis) will be hosted at the Lab @ Deloitte Analytics Institute, Singapore.
Key features (additional details in brochure)
Session designed for leaders
No spreadsheets, no regressions. This is a session for leaders, not analysts. We engage them on a strategic level, demystify analytics, and explore what it means for them. Ideal candidates are one to four levels below CXO, and need no prior understanding of analytics.
Immersive methods and exercises
Exercises based on behavioural research, allowing participants to interact with analytics and data visualizations without spreadsheets, in the scientifically-designed Lab @ Deloitte Analytics Institute.
Case examples that spark ideas
Handpicked, interactive corporate case studies that demonstrate how analytics can impact a variety of business processes.
Questions that participants will be able to answer after the session:
What is analytics, and how is it helping businesses?
Why should I care about analytics, given I have been doing fine without it so far?
What’s the difference between analytics, big data, MIS, ERP etc.?
In what situations can I apply data in decision making?
How can I look at my existing data more creatively, in terms of what it can reveal and how it can be visualized?
What does a successful analytics strategy require, and how does it evolve in an organization?
How can I embrace and propagate a culture of data-driven decision making?
Analytical maturity assessment results for their function/business
Analytics action plan for a path towards data-driven decision making in their function/business
Event registration is closed.