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building ethics & empathy into innovation

Business Data Management

identifying and modeling the most important aspects of an organization

An advanced business technology curriculum adapted by
Matthew John Brady, Entrepreneur & Educator
offered to students currently enrolled at the
University of Colorado – Leeds School of Business

Organizational Modeling

  • Hierarchy & Org Charts

  • Matrix & Collaboration Paths

  • Budget & Capital Allocation

  • business start up company structure management hierarchy employment

    Data Management

  • Extract, Transform, Load (ETL)

  • Model Changes (DDL) & SQL Structured Query Techniques (DML)

  • Joins, Indexes, Constraints, and Complex Functions

  • delivery logistics order deliver sort storage forklift

    System Optimization

  • Cloud & SaaS

  • Normalization Methods

  • Keys, Permissions, Integrations, Tuning

  • location street view places map application destination direction buildings

    Depth & Breadth

    This course also covers important aspects of the Salesforce ecosystem and client engagement model

  • Organizational Values

    Internalizing values, ethics, and integrity

  • AppExchange Marketplace

    Creating additional value through incremental innovation

  • Project Practicum

    CRM business case, key process flows, and KPI Dashboards

  • Career Preparation

  • Salesforce Certification

    Preparation for the most widely acknowledged industry credential, the Salesforce Certified Administrator (SCA)

  • Industry Opportunities

    Map out Internship, Full-Time, and Entrepreneurial paths

  • Interested?

    take the next step that's right for you

    Course Synopsis

    "Data is the new oil", said Clive Humby in 2006. More recently, "time" is often described as the most precious of resources. Knowledge-Economy workers must be able to manage both with excellence.

    This course provides the fundamentals of modern database design in the context of high-stakes operations and large-scale applications. Understand how to model the organization, plan and execute appropriate data management techniques.

    Conduct a complete project lifecycle, including thorough analysis phase activities such as data modeling for requirements analysis. Create models using various symbolic languages like semantic structure and an entity relationship diagram (ERD). Utilize design phase activities such as the normalization of the relational model and transformation from conceptual to physical design.

    Prepare for a career working on, in, or with SaaS platforms and technology professionals. Whether you go on to earn a Salesforce certification, join a startup, or become an entrepreneur, you will be well prepared for the future of work.

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