100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached
logo-home
Previously searched by you
Previously searched by you
logo
Unit 10: Big Data - Assignment 1 (All Criterias Met) | Distinction Achieved* $12.95
Add to cart
Quickly navigate to
Preview
  2.  
  3. PEARSON (PEARSON)
  4.  
  5. Information Technology 2016/2017 NQF
  6.  
  7. Unit 10 - Big Data and Business Analytics

Essay

Unit 10: Big Data - Assignment 1 (All Criterias Met) | Distinction Achieved*

1 review
 6 purchases
  • Course
  • Unit 10 - Big Data and Business Analytics
  • Institution
  • PEARSON (PEARSON)

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 ...

[Show more]

Preview 4 out of 37  pages

Document information

  • March 29, 2022
  • 37
  • 2021/2022
  • Essay
  • Unknown
  • A+

Subjects

  • unit 10 big data
  • big data assignment 1
  • btec unit 10
  • unit 10 assignment 1

Written for

  • BTEC
  • PEARSON (PEARSON)
  • Information Technology 2016/2017 NQF
  • Unit 10 - Big Data and Business Analytics
All documents for this subject (9)

1  review

review-writer-avatar

By: arshisumiya • 2 year ago

reply-writer-avatar

By: Elliot75 • 2 year ago

Thank you for your review.

Seller

avatar-seller
Elliot75

Reviews received

Content preview

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

1|Page

,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
2|Page

, 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




3|Page

The benefits of buying summaries with Stuvia:

Guaranteed quality through customer reviews

Guaranteed quality through customer reviews

Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.

Quick and easy check-out

Quick and easy check-out

You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.

Focus on what matters

Focus on what matters

Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!

Frequently asked questions

What do I get when I buy this document?

You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.

Satisfaction guarantee: how does it work?

Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.

Who am I buying these notes from?

Stuvia is a marketplace, so you are not buying this document from us, but from seller Elliot75. Stuvia facilitates payment to the seller.

Will I be stuck with a subscription?

No, you only buy these notes for $12.95. You're not tied to anything after your purchase.

Can Stuvia be trusted?

4.6 stars on Google & Trustpilot (+1000 reviews)

68175 documents were sold in the last 30 days

Founded in 2010, the go-to place to buy study notes for 15 years now

Start selling
$12.95  6x  sold
  • (1)
Add to cart
Added