Mobile Business Intelligence and Big data and Crowd Sourcing Analytics

2. Faculty Name:Namrata
Sharma/Arjun S. Parihar
Year/Branch:3rd/CSE
Subject Code:CS-503(A)
Subject Name:Data Analytics

3. Learning Objectives
•In this session you will learn about:
Mobile Business Intelligence and Big data
Crowd Sourcing Analytics
Inter and Trans Firewall Analytics
Information Management

4. Mobile Business Intelligence and Big data

5. - The CEO says “We need to sell more”
- Marketing Mgr thinks “What can we offer to our
customers?”
- To do this, we need to know: What are the most sold
products? What bundles are the most successful?
Different Points of View (1)

6. - Who can provide us with this information? Because, we
already have this information, don’t we?
- IT Mgr, while upgrading platforms and implementing a new
CRM system, estimates that the information will be
available in 20-30 days.
Different Points of View (1)

7. - Marketing Mgr asks: A month!? Didn’t we have this kind
of information in our servers already?
- IT Mgr answers:Yes, the data is there, but it doesn’t
have the right structure to answer the questions you’re
asking
- Marketing Mgr keeps thinking that if the data is there, it
can’t be so difficult to get the answers they need
Different Points of View (2)

8. - IT Mgr keeps thinking that Marketing Mgt always asks for
weird things, and with not time at all
- The CEO just wanted to sell more!
Different Points of View (2)

9. -Where is the problem?
-Marketing Mgr is right: the data is in the servers
-IT Mgr is also right: is not easy to give data the right
structure to answers questions
-For IT is just enough to deal with data, Marketing
needs to extract information from this data.
Business Problem

10. What is Business Intelligence(BI)

11. -BI is a set of processes, architectures, and technologies
-That convert raw data into meaningful information
-That drives profitable business actions.
-BI systems help businesses to identify market trends
- Spot business problems that need to be addressed.
What is Business Intelligence(BI)

12. What is Business Intelligence(BI)
-BI technology can be used by Data analyst, IT people,
business users and head of the company.
-BI system helps organization to improve visibility,
productivity and fix accountability
-The draw-backs of BI is that it is time-consuming costly and
very complex process.

13. What is Mobile Business Intelligence ?
Mobile business intelligence is software that extends
desktop business intelligence (BI) applications so they
can be used on a mobile device.

14. Why is it important?
- Increased need for mobile usage for all types of
applications
- CEOs, salesmen, account managers need it ‘on the
road’
- BI delivers business insight that is critical in modern
mobile applications
Mobile Business Intelligence

15. Mobile and iot devices as sources of data
-Mobile devices and apps offer a wealth of data
-Usage data on apps Location-based data
-Data from mobile devices offer new capabilities
-Analysis on usage discovers user choices/preferences
- Analysis on location feeds profiling information
-Better understanding of the user → targeted marketing
Mobile Business Intelligence & Big Data

16. Crowd Sourcing Analytics
What Is Crowd sourcing?
- Utilizing the wisdom of a group for a common goal
- Often innovation, problem solving, or efficiency.
-The term was first coined by Jeff Howe in a 2006 article
about the practice

17. Crowd Sourcing Analytics
What Is Crowd sourcing?
- It is powered by new technologies, social media and web
2.0.
- Popularity as the emergence of commerce, social
media, smartphone culture
- Increased connectivity between people across the globe

18. When Did it Actually Start
-Wikipedia
-Rent-A-Coder
-Amazon Mechanical Turk
Who Are Your Workers?
Everybody!!
Crowd Sourcing Analytics

19. Crowd sourcing: The Benefits
Companies Get
-Improved quality and
productivity
-Feedback
-Good Exposure Minimum
of Cost
People Get
Incentive
-Cash Cash Cash
Recognition
-Sense of accomplishment
among peers
Make Life Better
-Linux
-Obama Campaign
Crowd Sourcing Analytics

20. Good Examples of Crowd sourcing
-Netflix (Netflix Prize)
-Cisco (I-Prize)
-Steve Fosset
Crowd Sourcing Analytics

21. Crowd Sourcing Analytics
- CrowdANALYTIX
- Kaggle

22. Over the last 100 years, supply chain has evolved
-To create enormous value to the end-consumer through
concepts like
-CPFR (collaborative planning,forecasting & replenishment)
-Collection of business practices
-That leverage the Internet and electronic data
interchange
-To reduce inventories and expenses
-While improving customer service
-VMI (vendor-managed inventory)
-Manufacturers receive sales data to forecast consumer
demand more accurately.
Inter-and Trans-Firewall Analytics

23. Decision sciences will witness a similar trend as
enterprises begin to collaborate on insights across the
value chain.
For instance, in the healthcare industry
-Rich consumer insights can be generated by
collaborating on data
-Insights from the health insurance provider
-Pharmacy delivering the drugs and the drug
manufacturer
-In fact, this is not necessarily limited to companies
within the traditional demand-supply chain.
Inter-and Trans-Firewall Analytics

24. -Retailer and a social media company can come together
-To share insights on consumer behaviour that will benefit
both concerns
-More progressive companies will work on leveraging the
large volumes of data outside the firewall such as social
data, location data, etc
-Internal data and insights from within the enterprise firewall
is no longer a differentiator
Inter-and Trans-Firewall Analytics

25. -Call this trend the move from intra- to inter- and trans-
firewall analytics
-Yesterday, companies were doing functional silo-based
analytics.
-Today they are doing intra-firewall analytics with data
within the firewall.
-Tomorrow they will be collaborating on insights with
other companies to do inter-firewall analytics as well as
leveraging the public domain to do trans-firewall
analytics.
Inter-and Trans-Firewall Analytics

26. Inter-and Trans-Firewall Analytics

27. What we mean by Information Management:
Organisation seeks to maximise the efficiency by
-Plans
-Collects
-Organize
-Uses, controls, stores
-Disseminates
-Disposes
- Ensures
-Exploited
Information Management

28. Information Management Conceptual Architecture
Information Management

29. Logical Architecture view
-Data Sources
-Data Ingestion and Information Interpretation
-Raw Data Reservoir
- Foundation Data Layer
-Access and Performance Layer
-Discovery Lab and Rapid Development Sandboxes
-Virtualization & Query Federation
-Enterprise Performance Management
-Pre-Built and Ad-hoc BI Assets
-Information Services
Information Management

30. Quick Review
- Analytics on mobile devices is what some refer to as
putting BI in your pocket.
-The idea is that someone comes with problem and we
put it on website and people solve the problem
- Both internal and external data are important
- IM is the mean by which oraganization seek to maximize
the efficiency

31. Thank You