This essay/assignment covers Unit 10 - Big Data assignment 1 with all criterias met to achieve the highest grade (Distinction) along with correct structure. Just follow the content step by step to save time and also to reduce complexity. Harvard Referencing Included*. Note: This will support those ...
UNIT 10 – BIG DATA AND
BUSINESS ANALYTICS
ASSIGNMENT 1
Add your name here
MARCH 20, 2022
,Contents
Introduction..........................................................................................................................................4
What is Big Data...................................................................................................................................4
The Five V's...........................................................................................................................................4
Volume..............................................................................................................................................5
Velocity.............................................................................................................................................5
Variety..............................................................................................................................................5
Veracity.............................................................................................................................................5
Value.................................................................................................................................................5
The reasons why organisations analyse data, including strategic planning, improving productivity
and product and/or service benchmarking..........................................................................................6
Strategic Planning.............................................................................................................................6
Improving Productivity.....................................................................................................................6
Product/ Service Benchmarking.......................................................................................................7
Big Data at Facebook............................................................................................................................8
The technology used at Facebook ..................................................................................................9
Example of use of Big Data at Facebook .........................................................................................9
Facial Recognition .......................................................................................................................9
Amazon...............................................................................................................................................11
Use of Big Data at Amazon.............................................................................................................11
Alexa Voice Recording................................................................................................................11
System of Personalised Recommendation.................................................................................12
One-Click Ordering.....................................................................................................................12
How Amazon implement Big Data.................................................................................................12
Optimisation of the Supply Chain...............................................................................................12
Optimising Prices........................................................................................................................12
Persuade customers to purchase more with each order...........................................................13
Amazon vs Facebook Summary..........................................................................................................13
General challenges of analysing data including costs, skills required and security issues................14
Costs...............................................................................................................................................14
Skills................................................................................................................................................15
Security...........................................................................................................................................15
The ethical and legislate factors that govern the gathering, access and storage of data.................16
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,Data protection act 1998....................................................................................................................17
Fair and Lawful...............................................................................................................................17
Purposes.........................................................................................................................................17
Adequacy........................................................................................................................................18
Accuracy.........................................................................................................................................18
Retention........................................................................................................................................18
Rights..............................................................................................................................................18
Security...........................................................................................................................................18
International transfers....................................................................................................................19
Data Protection Act 2018...................................................................................................................19
Data Subject....................................................................................................................................19
Data Processor................................................................................................................................19
Data Controller...............................................................................................................................20
Personal Data.................................................................................................................................20
Data protection and Business.........................................................................................................20
GDPR General Guidelines for organisations:......................................................................................20
Data Controller...............................................................................................................................21
Data Protection Officer (DPO)........................................................................................................21
Guiding principles of GDPR.............................................................................................................22
1. Legality, justice, and openness...............................................................................................22
2. Purpose restriction.................................................................................................................23
3. Minimization of data..............................................................................................................23
4. Accuracy..................................................................................................................................23
5. Lack of storage........................................................................................................................23
6. Confidentiality and integrity...................................................................................................23
7. Accountability.........................................................................................................................23
Qualitative......................................................................................................................................24
Quantitative....................................................................................................................................24
Internal...........................................................................................................................................25
External...........................................................................................................................................25
Storing data including structured and unstructured data, system-based factors and security........26
Structured Data..............................................................................................................................26
Unstructured Data..........................................................................................................................26
System Based Factors.....................................................................................................................26
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, Data warehouses and Data marts and Data lakes.............................................................................27
Apache Hadoop..................................................................................................................................27
Analysing big data and the challenges involved including the skills and technology needed...........28
The different types of business analytics (descriptive, diagnostic, predictive, prescriptive)............29
Descriptive......................................................................................................................................29
Diagnostic.......................................................................................................................................29
Predictive........................................................................................................................................30
Prescriptive.....................................................................................................................................30
The benefits and challenges to organisations that may arise from the collection, storage and
analysis of organisational data, with particular reference to big data..............................................31
Evaluation...........................................................................................................................................32
Future of Big Data Analytics...........................................................................................................33
Future of Artificial Intelligence.......................................................................................................34
Conclusion..........................................................................................................................................35
References..........................................................................................................................................35
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