Introduction to Big Data Technologies – for Business Managers – Bootcamp



Interestingly, Big Data is both hype and reality. However, every CXO, Senior Executives, LoB Managers, and even IT must have a fundamental understanding of what the key Big Data technologies are and how they could enable business value. This is crucial to make the right investments that will create, generate, drive, and optimize business value and a competitive advantage.



This bootcamp is intended to provide a foundation on the key Big Data technologies to invest in today and for the future to become a real-time (agile) and predictive enterprise.



The bootcamps are taught by industry veterans:
Balu Rajgopal of Rightedge Consulting
Mahesh Kumar of Tiger Analytics
.



Check out the take-aways.

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Value

Enabling Technology Mindset

Focus

Introduction to Big Data Technologies

Target Audience

Non-Technical: Managers, Executives, VPs, GMs, Directors

Goals

  • To educate non-technicals about big data technologies
  • Understand how big data technology enables analytics and data-driven
  • Decision making Learn big data technologies lingo

Prerequisites

Introduction to Business Analytics Bootcamp (preferred but not required)

Course Duration

1 Full Day

Class Dates

Thursday, October 24, 2013
Thursday, November 21, 2014

Class Timings

8:30 am to 6:30 pm

Class Location

  • Onsite :
    3200 Coronado Drive, Santa Clara, CA 95054
  • Online :
    Access information would be sent prior to the class

Agenda

8:00 – 8:30 AM
Registration

8:30 – 9:00 AM
Introductions – Participants & Agenda

9:00 – 10:15 AM
SESSION 1

  • Introduction to Big Data Technolgies
  • Big Data technology trends, adoption challenges, new paradigms
  • Aligning & Prioritizing Big Data Technology investments

10:15 – 10:30 AM
BREAK 1

10:30 – 11:45 AM
SESSION 2

  • Review of Decision Frameworks & KPIs in Strategy
  • Review Decision Models for Strategic Decision Making
  • Technologies for Data, Analytics & Visualization for strategic decisions

11:45 – 12:00 PM
BREAK 2

12:00 – 1:00 PM
SESSION 3

  • Review of Decision Frameworks & KPIs in Marketing
  • Review Decision Models for Marketing
  • Technologies for Data, Analytics & Visualization for marketing decisions

1:00 – 1:45 PM
LUNCH BREAK

1:45 – 3:15 PM
SESSION 4

  • Review of Decision Frameworks & KPIs in Supply Chain
  • Review Decision Models for Supply Chain
  • Technologies for Data, Analytics & Visualization for supply chain decisions

3:15 – 3:30 PM
BREAK 3

3:30 – 5:00 PM
SESSION 5

  • Takeaways & Review of Data-driven decision making & Analytic models
  • Takeaways & Review of Technologies to support data-driven decision-making
  • Q & A, Feedback

5:15 – 6:30 PMNETWORKING

Registration