This document is the first deliverable of the Lean Big Data work package 7 (WP7). The main goal of the package 7 is to provide the use cases applications that will be used to validate the Lean Big Data platform. To this end, an analysis of requirement of each use case will be provided in the scope.This analysis will be used as basis for the description of the evaluation, benchmarking and validation of the Lean Big Data platform. This deliverable comprises the analysis of requirements for the following case of study provided in the context of Lean Big Data: Data Centre monitoring Case Study, Electronic Alignment of Direct Debit transactions Case Study, Social Network-based Area surveillance Case Study and Targeted Advertisement Case Study.

1. Big Data Use Cases
Requirement Document
Allied Consultants

2. Introduction

3. Purpose of the Document
▪ Output of the work package
▪ Analysis of the software requirements for each case study
▪ Design and implementation of the use case applications
▪ Serving as a base for the evaluation process
▪ Benchmarking the performance of the use case applications.
▪ Executing them in uses-case tools and in high-scalable tools provided by
LeanBigData

4. Intended Audience
▪ Task leaders involved with the LeanBigData developments

5. Methodological
Approach

6. Adopted Methodology
Describes the methodology, techniques and templates
Deliverable described in a “business language”, and interpreted as
simulated situations in which actors interact with the leanbigdata
system
Domain knowledge is acquired from the actors of the different use
cases is described and requirements that leanbigdata must satisfy are
extracted

7. Categorization of Requirements
o List of actors;
o Context requirements – i.e., generic “environment” requirements;
o End-user requirements;
o Functional requirements;
o Non-functional requirements
• Performance
• Integration
• Stability
• Maintainability
• Usability
• Scalability

8. Social Network
Analytics:
Social Network-based Area Surveillance Case Study

9. Overview of the Case Study
▪ The challenging issue of using social media for city officers in the
prevention of troubles in potentially problematic city areas
▪ Gathers data from social networks, monitors and creates alerts to the city
security in order to mobilize the appropriate resources
▪ Focused in a specific city area
▪ Implement a solution on gathering and analysis
▪ The case study delivers a couple of implementations of the software: one
using big data “traditional” technologies and other using leanbigdata
components

10. Use Cases
▪ Use Case 1: Data Channel
management
▪ Use Case 2: Real-time monitoring
▪ Use Case 3: Event detection
▪ Use Case 4: Alarm definition and
notification
▪ Use Case 5: Influencers detection and
visualization
▪ Use Case 6: Historical analysis of
surveillance data

11. Cloud Data
Centre's:
Data Centre Monitoring Case Study

12. Overview of Use case
▪ IT management systems employ variety of models for monitoring and
managing large IT infrastructures.
▪ Models may also represent the relationship between different elements in
the system
▪ Models are employed for detecting anomalies or changes
• In this case study we consider the use of both anomaly and change
detection systems.
• These systems will identify time of change and set of affected components
so that a new set of data could be created

13. Use Cases
▪ Use Case 1: Setup extraction of data from CA proprietary data stores and
storing it in LeanBigData Store
▪ Use Case 2: Model creation and recalibration
▪ Use Case 3: Automatic discrepancy analysis
▪ Use Case 4: Human discrepancy analysis

14. Business Motivation

15. Financial/Banking:
Electronic Alignment of Direct Debit transactions Case
Study

16. Overview of Case Study
▪ SEPA follows the European Union (EU) payments integration initiative, to
avoid frauds in banking/financial transactions.
▪ Considering an SDD (SEPA Direct Debit) transaction, the consequences of
a fraud have been moved from the user to the bank
▪ To set up the process, the creditor has to acquire an SDD mandate from
the debtor and advise his/her bank about that mandate.
▪ The Creditor sends a direct debit to request the specified amount on the
Debtor’s bank account and provides the signature of the mandate
▪ Of course this exposes the debtor to a number of possible frauds

17. Use Cases
▪ Use Case 1: Authorized SDD
▪ Use Case 2: Topic of Interest – Identity
Theft
▪ Use Case 3: Topic of Interest – Direct
Debit Theft
▪ Use Case 4: Geographic coherence of
the service
▪ Use Case 5: Geographic coherence -
Identity Theft
▪ Use Case 6: un-classifiable SDD

18. Targeted
Advertisement
Case Study

19. Overview of the Case Study
▪ SAPO, the internet technology department at Portugal Telecom, runs a vast big
data and analytics infrastructure.
▪ SAPO sells multiplatform ads online covering the whole spectrum of web, mobile
and TV.
▪ SAPO allows advertisers to define their own campaigns, set their campaign
goals and budget.

20. Use Cases
▪ Use Case 1: Ad Serving
▪ Use Case 2: Forecasting
▪ Use Case 3: Custom Reports and
Dashboards
▪ Use Case 4: User profiling
▪ Use Case 5: Campaign Setup

21. Conclusion & Future work
This document provides the software requirement analysis that defines the
main functionalities to be implemented by each LeanBigData use case.
The result from these analysis will be used as starting point:
 For the development and implementation process of the use case
applications
 For defining the evaluation and testing process defined

22. ▪ In the document has been defined the methodology followed in the
gathering requirements process.
▪ A set of uses cases specific for each case of study has been included from
where the requirements has been obtained
Collaborations with other work package especially in following fields:
 Definition of requirements for the software visualization
 Definition of mockups

23. Access the complete
requirements
Document
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