ICTO

Information and Communication Technologies
in Organizations and Society

 

Digital Strategy

 

First day

 
 

Session 1. Introduction: Data, Information, and decision making

ERPsim Game (4 h)

Manufacturing Introduction

An introduction explaining the basics of the ERPsim Manufacturing SAP simulation learning game developed by Baton Simulations.
To find out more about using ERPsim for your training, visit us at http://www.batonsimilations.com
 

ERPSIM Game

Results

Important Information:

Download SAP S4/Hana  ERPSIM
Connexion Variable
Munich - ERPsim - I19 - Simulation Game on HANA
Server : i19z
System ID : I19
Instance : 00
SAProuter string : /H/cloud.ucc.ovgu.de/S/3299/H/saprouter.hcc.in.tum.de/S/3299/H/

 
 

Second day

 
 

Session 3. Enterprise Architecture 

Enterprise Architecture

The organizing logic for business process, data and IT capabilities reflecting the integration and standardization requirements of the firm’s operating model (Ross, 2012)

 

Watch the video

Two cases

Case Study: Tea collection

After the case analysis, your team has to come-up with its own framework of IT Enterprise architecture  that will help TeaCollection manage effectively its IT resources.

Please develop your own framework on a ppt and send it to antoine.harfouche@edhec.edu

Case Study: FreshDirect

Your team works for an IT Consulting firm and you are asked to build on the case of FreshDirect  in order to figure-out the key phases associated with ERP and BI implementation.

Case study

Big Data Analytics in the hotel industry

In order to improve its offer in a business strongly challenged by new players who offer new hosting models, a hotel company intends to implement a Big Data solution that can predict hotel occupancy so that rates can be optimized according to demand.

 

Orange Business Services

Discover how a hotel company has implemented Big Data analytics tools with no previous experience in Big Data thanks to Orange Business Services experts.

(Watch the video and answer the questions)

Watch the video:  https://www.youtube.com/watch?v=rQR5nxp-_LU

 

Questions:

Q1. How can Big Data Analytics be applied in the hotel industry?

Q2. What are  Big Data Challenges in the hotel industry?

 

More information about Orange Business Services:

Official website: http://www.orange-business.com/en

Facebook: https://www.facebook.com/orangebusiness/

Twitter: https://twitter.com/orangebusiness

Slideshare: http://www.slideshare.net/orangebusiness

Pinterest: https://fr.pinterest.com/orangebusiness

 

Web references:

http://www.bigdatanalysis.com/big-data-analytics-in-hotel-industry/

 

Academic references

LaValle, S., E. Lesser. R. Shockley, M.S. Hopkins, and N. Kruschwitz (2011) “Big Data, Analytics and the Path from Insights to Value,” Sloan Management Review, (52)2, pp. 21-31.

https://sloanreview.mit.edu/article/big-data-analytics-and-the-path-from-insights-to-value/

 

Sivarajah, U., Kamal, M.M., Irani,Z., & Weerakkody, V. (2017). Critical analysis of big data challenges and analytical methods. Journal of Business Research, 70, 263

https://www.sciencedirect.com/science/article/pii/S014829631630488X

 

H. Chen, R.H.L. Chiang, V.C. Storey, (2012), Business intelligence and analytics: From big data to big impact, MIS Quarterly, 36 (4) (2012), pp. 1165-1188

https://s3.amazonaws.com/academia.edu.documents/32970305/FROM_BIG_DATA_TO_BIG_IMPACT.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1551765260&Signature=QzglECtoKahMO6ML39%2FEZgOIxM0%3D&response-content-disposition=inline%3B%20filename%3DSPECIAL_ISSUE_BUSINESS_INTELLIGENCE_RESE.pdf