THE DATA AGE AND IT S IMPACT ON BUSINESS ANALISYS. Presented by Ada Steenekamp, CBAP, OCUP

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1 THE DATA AGE AND IT S IMPACT ON BUSINESS ANALISYS Presented by Ada Steenekamp, CBAP, OCUP

2

3 AGENDA BIG DATA What is the data age and Big data? What is the impact on businesses, IT and business analysis? Some examples of companies that invested in Big data Why invest in Big data? BIG DATA and BUSINESS ANALYSIS How to prepare for Big data Big data and the project lifecycle Big data and the BABOK Big data and BA deliverables

4

5 They say that first there was the industrial age, then came the technology age, and now the data age has arrived! Data have become a torrent flowing into every area of the global economy

6 $600 (+-R5000) to buy a disk drive that can store all of the worlds music 30 billion pieces of content stored on Facebook EVERY MONTH 5 billion mobile phones in use 40% growth in global data generated per year.. A TORRENT OF DATA

7 WHAT IS BIG DATA? It s combining structured and unstructured data using new data storage facilities, applying new algorithms and deriving new insights not possible before Big Data

8 IMPACT New buzz words and concepts big data, natural language analysis, data analysis techniques MDM - de-duplication, value record Technology impact HADOOP (Big table), HIVE (Append-only database), PIG (Analyse large datasets), PIG Latin Data trading companies, data gathering companies, de-duplication companies Need for data scientists big data managers 5% of Global IT spending is now being channeled into solving the challenges of BigData

9 INCOME IMPROVEMENT (TUNESAT)

10 NEW KINDS OF BUSINESSES

11 PRODUCTIVITY & INVENTORY TURNOVER (VICTORIA S SECRET)

12 DEDUPLICATION AND TARGETED MARKETING

13 WHY INVEST IN BIG DATA? More and more companies are looking at data to increase productivity and competitiveness Money, money, money (Profit, profit, profit) Increase profit because: Big data enables TARGETED MARKETING PREDICTIVE MAINTENANCE PRODUCTIVITY INVENTORY TURNOVER We need to use the opportunity

14 HOW TO PREPARE FOR BIG DATA Determine how data flows through the organisation (Weave data into your process flows) Start at value chain, drill deeper Identify areas where big data can add value Get data savvy Keep an open mind

15 LIFECYCLE CHANGES Idea Know ledge Maintenance Strategy WHY? Strategy & Scope HOW? SRS, SDS Implementation Realisation Acceptance WHAT & WHEN? BRS

16 IMPACT ON BUSINESS ANALYSIS (BABOK) Conduct Elicitation Document & Confirm BA Approach Stakeholder Analysis BA Comms Plan Define business case Manage scope Manage traceability Prepare package Communicate Assess org. readiness Define transition reqmnts Specify & model Assumptions & Constraints Verify and Validate

17 DIAGRAMS AND MODELS Context Diagram Use Case Diagram Process Flow Data Model

18 dfd DataAgeContextDiagram BusinessUser1 Demographic data Retail Pattern ExternalProvider3 InternalApp1 The System Retail Pattern ExternalProvider1 ExternalProvider2 InternalApp2 Preferences Loyalty ExternalProvider4 Social media

19 uc DataAgeUseCaseDiagram The System «Internal» Capture personal data Receiv e Demographic data «External interface v endor1» Receiv e retail pattern «External Interface Vendor2» Receiv e preferences Actor1 «Internal» Combine data «Internal» Deriv e best marketing strategy (per marketing group) «Internal» Determine v alue record «Internal» Apply weighting factors

20 BPMN DataAgeHLProcessFl... Geographical data Loyalty Profile PersonalData Preferences RetailPattern Process Internal Personal data Consume external data Apply marketing algorithms and categorisations Do targeted marketing

21 class DataAgeConceptualDataModel RetailPattern 1 1 Preferences PersonalData 1 0..* Geographical data 1 1..* 1 Loyalty Profile 0..*

22 Just like the water in the Zambesi.. we can drown in it.. or use it to make our business grow

23 REFERENCES Mckinsey Global Institute: Big data: the next frontier for innovation, competition and productivity CIO Journal The Economist The internet of Things Big data sources..

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