Business Intelligence - Data Practices
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Business Intelligence - Data Practices

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A Roadmap for BI practice for enterprises. Shows the steps, issues to address and methods for implementing analytics.

A Roadmap for BI practice for enterprises. Shows the steps, issues to address and methods for implementing analytics.

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    Business Intelligence - Data Practices Business Intelligence - Data Practices Presentation Transcript

    • BI Data and Business Intelligence Practice
      Evaluate & Assess
      Functional Requirements
      Detailed Design
      Develop & Build
      Beta Test & Training
      Migrate & Go Live
      Maintain
    • BI Data and Business Intelligence Practice
      Business Ingenuity BI practice is all about getting the right information in the proper sequence, to understand the client requirements before committing resources and budgets.
      We give clients two options for project engagements:
      Fixed price with agreed upon deliverables (Waterfall Process)
      Iterative design with client feedback at each stage (Agile SCRUM Process)
        
      With both options, clients review and approve the results of each phase with project-specific milestones to measure progress, and keep the work flow on track and on time.    
      Business Ingenuity BI practice is agnostic in its recommendations. We evaluate software and hardware that match a client’s needs, regardless of our relationships with partner/vendor offerings.
    • BI Data and Business Intelligence Practice
      Project Criteria
      Scope and Complexity - in data models, tables, queries, external system data flows, analytics and commerce requirements.
      Quality - Does existing system require extensive business process re-engineering or simple migration
      Functional Gaps - between existing system and proposed future requirements
      BI - expertise in similar business models and industry applications
       Engineering Assessment - complexity of auditing and understanding existing application code.
    • BI Data and Business Intelligence Practice
      Prototyping
      Prototypes are a simple, visual means to explore application design without committing resources to coding and testing.  They provide a common ground for business experts and information analysts to understand what will be the end goal.
      • Prototype Design is useful in calculating reasonable costs and time to develop
      • Prototypes generally cover the User Interface and the database schema design
      • Prototypes reflect an existing application and new requirements as defined by the client. 
      • Business Ingenuity BImethod uses rapid application development (RAD) using a small team of multi-discipline participants – we and the client together
      • Prototypeiteration quickly leads to anagreed upon approach that feeds directly into the functional requirements of the application build process
    • BI Data and Business Intelligence Practice
      Detail Design
      Prototype design drives the building of applications. By gathering details early on we avoid issues that create stopping points in development. Detail design covers several areas:
      • Use cases and Test cases –how things are supposed to work and what they impact
      • Plumbing that defines the process and systems that are required to support or interact
      • User data input logic and validation
      • Data schemas and data flows between sub systems
      • Testingenvironment and business rules
      • Functional specifications for integration with vertical data stacks and business functions
      • Data migration from existing systems to the proposed application
    • BI Data and Business Intelligence Practice
      Testing and Refinement Phase
      Every migration project requires importing legacy data into a new application.
      • A key requirement is training and procedures for management of the new server environment.
      • An important milestone is certifying the new server configuration for security, performance and failover
      • At this stage, the client is ready to explore how their data can be transformed into information
      • This leads to taking existing queries and reports and migrating them to businessintelligence practices
    • BI Data and Business Intelligence Practice
      Beta Test & Training
       The goalis to run the application in trial mode to ensure that all features and data schemas reproduce existing results and conform to new requirements.
      • The first metrics are to identify what does not work and what causes failure in the output process
      • The second metrics areto identify what data schemas do not operate in conjunction with the new design
      • The third metrics are to identify which functions improve or hinder the overall efficiency of the new design
      • The fourth metrics are to provide sufficient documentation and training events to allow the client to take over and manage
    • BI Data and Business Intelligence Practice
      Migrate & Go Live
    • BI Data and Business Intelligence Practice
      Maintain
      As problems and bugs appear, we provide a quick on call resolution to your data environment or any troubleyou may have with applying your analytic toolset to your data
      Enhancements that are discovered post deployment are commonplace. MAPS BI allows a client to call on our expertise in improving process thru put or enhancing existing query methods
    • BI Database Engineering Audits
      • Table Structures
      • Normalization
      • Maintenance
      • Programming
      • Constraints & Indexing
      • Data Records
      • Security
      • Database & Server
    • BI Database Engineering Audits
      Table Structures
    • BI Database Engineering Audits
      Normalization
      Maintenance
    • BI Database Engineering Audits
      Programming
    • BI Database Engineering Audits
      Constraints & Indexing
    • BI Database Engineering Audits
      Data Records
      Security
    • BI Database Engineering Audits
      Database & Server