BE883-7-SP-CO:
Data and Analytics

The details
2019/20
Essex Business School
Colchester Campus
Spring
Postgraduate: Level 7
Current
Monday 13 January 2020
Friday 20 March 2020
10
12 November 2019

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

Key module for

MBA N20012 The Essex MBA,
MBA N20E24 The Essex Executive MBA,
MBA N20E36 The Essex Executive MBA

Module description

Data and information are critical to the success of organisations. Organisations that manage information effectively can improve efficiency, be more responsive to market opportunities, achieve competitive advantage and operate more sustainably. As organisations seek to develop innovations and grow in a sustainable way, they are looking for better information to guide decisions. This module will explore the role of information and analytics in supporting the development of innovative, sustainable growth strategies and the practical techniques managers can use to design effective information flows.

Module aims

Data and information are critical to the creation and sustaining of a competitive advantage. This module aims to equip participants with the knowledge, understanding and skills to assess how emerging technologies affect business and society, understand key terms and concepts in data and information management and their application to a typical business situation, and critically analyse complex, structured and unstructured data and information to promote actionable insights.

Module learning outcomes

On successful completion of this module, students should be able to:

• 1. evaluate and critically analyse how emerging technologies will affect business and society and the opportunities and risks that are associated with it,
• 2. understand key terms and concepts in data and information management and be able to relate these to a typical business situation,
• 3. critically evaluate current approaches used for collection, management, communication and analysis of commercial, operational and sustainability data, and how this data is used to support decision-making
• 4. apply techniques to the analysis of a specific business challenge and use these to identify required information flows
• 5. develop and use data visualisation techniques to share original content and insight with a general management audience
• 6. demonstrate familiarity with analytical tools available for the analysis of numerical and textual data and use these to find, derive and evaluate information,
• 7. demonstrate familiarity with current developments and thinking in the information management industry, specifically around ‘big’ data management, analytics, cloud and visualisation techniques.

Module information

Syllabus

1. Emerging technologies – what they are, and how they impact business and society

2. Data and information management in an organisational setting

3. Data-driven decision making processes

4. Design thinking techniques and their application

5. Data analysis and visualisation techniques; numerical and textual data

6. Current developments in information and data management

Learning and teaching methods

The following learning and teaching methods will be used to inform the pedagogic structure of the module: Lectures; workshops; discussion of case studies; class exercises; group based project work; Self-study to develop individual and group action plans (including immersion activities, seminars and workshops); contact hours – 30 Details will be available in the Module Outline and on Moodle.

Bibliography

This module does not appear to have a published bibliography.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework Group Presentation 14/02/2020 25%
Coursework Individual Project Report 09/03/2020 75%

Overall assessment

Coursework Exam
100% 0%

Reassessment

Coursework Exam
100% 0%
Module supervisor and teaching staff
tbc
n.forsans@essex.ac.uk

 

Availability
No
No
No

External examiner

No external examiner information available for this module.
Resources
Available via Moodle
Of 30 hours, 30 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information
Essex Business School

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