Lecture 2: Big Data Analytics Applications

Question 1

6 Challenges of Big Data Analytics:
1. Data [.]:
- capture, store & process data
2. Data integration: combine data cheaply & quickly
- ensure data is [.] in terms of time period & structure
3. Processing capabilities: 
process data quickly as it's captured (i.e. [..])
4. Data [.] : 
security, privacy, access, ...
5. [.] availability (data scientist...)
6. Solution [.] 
- ROI [i.e. ...]

Answer 1

6 Challenges of Big Data Analytics:
1. Data VOLUME:
- capture, store & process data
2. Data integration: combine data cheaply & quickly
- ensure data is CONSISTENT in terms of time period & structure
3. Processing capabilities:
process data quickly as it’s captured (i.e. STREAM ANALYTICS)
4. Data GOVERNANCE:
security, privacy, access, …
5. Skill availability (data scientist…)
6. Solution cost: - Return on Investment (ROI)

Question 2

Business Problems addressed by Big Data Analytics: Examples:

1. Process [.] & [.] reduction:
   e. g. Smart supply chain: products produced & delivered to customers automatically
2. [.] management:
   e. g. Amazon marketing used retina tracker to track & test user experience on their website.
3. [.] maximisation, [.]-selling/ [.]-selling
4. Enhanced [.] experience
5. Customer recruiting
6. Improve customer service:
   e. g. Amazon experiment delivery robots
7. Identify new [.] & [.] opportunities
   e. g. Google searches
8. [.] management
9. [.] compliance

Answer 2

Business Problems addressed by Big Data Analytics: Examples:

1. Process efficiency & Cost reduction:
   e. g. Smart supply chain: products produced & delivered to customers automatically
2. Brand management:
   e. g. Amazon used retina tracker to track & test user experience on their website.
3. Revenue maximisation, cross-selling/ up-selling
4. Enhanced customer experience
5. Customer recruiting
6. Improve customer service:
   e. g. Amazon experiment delivery robots
7. Identify new products & market opportunities
   e. g. Google searches
8. Risk management
9. Regulatory compliance:
   e. g. GDPR

Question 3

Big Data technologies:
[.] : store data & process data instantly
Tableau: good at [.]
…etc.

Answer 3

Big Data technologies:
Hadoop: store data & process data instantly
Tableau: good at visualisation

Question 4

Disruptive Technologies:

1. Virtual Reality (VR): e.g. [.]
2. Robotic Process Automation (RPA)
3. Blockchain & Smart contracts
4. AI
5. [..] (DL)
6. […] (IoT)
7. Social Media
8. Cloud Computing
9. E-commerce

Answer 4

Disruptive Technologies:

1. Virtual Reality (VR): e.g. HOLOGRAMS
2. Robotic Process Automation (RPA)
3. Blockchain & Smart contracts
4. AI
5. Deep Learning (DL)
6. Internet of Things (IoT)
7. Social Media
8. Cloud Computing
9. E-commerce