Emerging trends in
Business Intelligene
OBSERVATIONS FROM A BA PERSPECTIVE
Profile
 Father
 Husband
 BA with 8 year’s experience in technology projects
Agenda
PART I: Trends in Business Intelligence
PART II: The Project Context
PART III: Delivery Methods
PART I
BUSINESS INTELLIGENCE TRENDS
WE ARE DROWNING IN INFORMATION BUT
STARVED FOR KNOWLEDGE.
― John Naisbitt
Traditional BI
 Substantial investment
 IT project team
 Requirements specified up front
 Results come long after the start date
Traditional Reporting
 Reliance on excel
 Multiple data sets
 Requirements are known
 Reliance on power users
Modern BI
 Data Visualisation
 Self Service Reporting
Tools and Features
 Ability to include multiple data sets
 Interactivity between charts and visualisations
 Visualise and analyse
 Exploration
Appeal
 Business led
 Smaller up front investment
 Business user friendly
 Quick set up
 Scalable
 Reduced dependencies on IT
PART II
THE PROJECT CONTEXT
Project Delivery
For the BI initiative to be successful, the project delivery
must live up to the expectations
Challenges
 Expectations
 Assumptions
 Requirements
 Complexity
BI Project
 A business area responsible for the delivery of
services and interaction channels
 A centralised view of all services and channels
provides insights regarding the Strategy
Objectives of the Project
 Cross Channel Analytics
 Consistent display of data from different sources
 Correlation and patterns in the data easier to observe
 Ability to evaluate past results, identify pain points, observe
the impact on current initiatives
 Centralised view of reports
 Assist executives in the decision
making process
Project characteristics
 Multiple teams involved
 Various data sources
 New capability
Challenges
 Data processes and availability
 Internal approvals process
 Expectations
 Multiple data sources with different reporting formats
 Frequency of data capture
PART III
CONTEMPORARY DELIVERY METHODS
Agile
 Project not ideal for waterfall
 Important to demonstrate quick wins
 Identify priority
 Target one area first
 Transparency of delivery
 Ability to understand user needs
throughout the Project
 Requirements validation
Scrum
 Three roles
 Four ceremonies
 Three outputs
Scrum customised
 Product Owner = Project Manager
 Not co-Located
 Interim infrastructure
 Simplified user stories
 Not all tasks added to the backlog
 Business case and project management plan aligned
to Prince 2
Results
 Partial scope complete
 Prioritised scope worked on
 Procure appropriate infrastructure
 Meet original objective
 Achieve results beyond original vision
 Central place for performance evaluation and business
planning
First year
Second
year
Third year
Results
Results
Results
Results
Observations
 It’s a journey – potential is discovered along the way
 New tools can bring about a paradigm shift
 BI projects benefit from multiple investment cycles
 Agile techniques do not solve Project problems
 Project governance can accommodate an agile
approach
Considerations
 Data is everything
Data integrity
Data capture process
Information Architecture
Stakeholder journey
 Scope commitments
A business Analyst role
 Identify problems
 Be transparent
 Build cadence
 Promote the positive stories
 Be open minded
Emerging trends in
Business Intelligene
OBSERVATIONS FROM A BA PERSPECTIVE

Bi trends and delivery methods v1.4

  • 1.
    Emerging trends in BusinessIntelligene OBSERVATIONS FROM A BA PERSPECTIVE
  • 2.
    Profile  Father  Husband BA with 8 year’s experience in technology projects
  • 3.
    Agenda PART I: Trendsin Business Intelligence PART II: The Project Context PART III: Delivery Methods
  • 4.
  • 5.
    WE ARE DROWNINGIN INFORMATION BUT STARVED FOR KNOWLEDGE. ― John Naisbitt
  • 6.
    Traditional BI  Substantialinvestment  IT project team  Requirements specified up front  Results come long after the start date
  • 7.
    Traditional Reporting  Relianceon excel  Multiple data sets  Requirements are known  Reliance on power users
  • 8.
    Modern BI  DataVisualisation  Self Service Reporting
  • 9.
    Tools and Features Ability to include multiple data sets  Interactivity between charts and visualisations  Visualise and analyse  Exploration
  • 10.
    Appeal  Business led Smaller up front investment  Business user friendly  Quick set up  Scalable  Reduced dependencies on IT
  • 11.
  • 12.
    Project Delivery For theBI initiative to be successful, the project delivery must live up to the expectations
  • 13.
  • 14.
    BI Project  Abusiness area responsible for the delivery of services and interaction channels  A centralised view of all services and channels provides insights regarding the Strategy
  • 15.
    Objectives of theProject  Cross Channel Analytics  Consistent display of data from different sources  Correlation and patterns in the data easier to observe  Ability to evaluate past results, identify pain points, observe the impact on current initiatives  Centralised view of reports  Assist executives in the decision making process
  • 16.
    Project characteristics  Multipleteams involved  Various data sources  New capability
  • 17.
    Challenges  Data processesand availability  Internal approvals process  Expectations  Multiple data sources with different reporting formats  Frequency of data capture
  • 18.
  • 19.
    Agile  Project notideal for waterfall  Important to demonstrate quick wins  Identify priority  Target one area first  Transparency of delivery  Ability to understand user needs throughout the Project  Requirements validation
  • 20.
    Scrum  Three roles Four ceremonies  Three outputs
  • 21.
    Scrum customised  ProductOwner = Project Manager  Not co-Located  Interim infrastructure  Simplified user stories  Not all tasks added to the backlog  Business case and project management plan aligned to Prince 2
  • 22.
    Results  Partial scopecomplete  Prioritised scope worked on  Procure appropriate infrastructure  Meet original objective  Achieve results beyond original vision  Central place for performance evaluation and business planning First year Second year Third year
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
    Observations  It’s ajourney – potential is discovered along the way  New tools can bring about a paradigm shift  BI projects benefit from multiple investment cycles  Agile techniques do not solve Project problems  Project governance can accommodate an agile approach
  • 28.
    Considerations  Data iseverything Data integrity Data capture process Information Architecture Stakeholder journey  Scope commitments
  • 29.
    A business Analystrole  Identify problems  Be transparent  Build cadence  Promote the positive stories  Be open minded
  • 30.
    Emerging trends in BusinessIntelligene OBSERVATIONS FROM A BA PERSPECTIVE