WBS for Agile Business Intelligence Projects   Excel template (XLSX)
$20.00

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WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
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WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
WBS for Agile Business Intelligence Projects (Excel template (XLSX)) Preview Image
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WBS for Agile Business Intelligence Projects (Excel XLSX)

Excel (XLSX)

$20.00
Optimize your Agile BI projects with this WBS Excel template, crafted by industry experts. Streamline planning, execution, and risk management for success.
Add to Cart
  


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BENEFITS OF DOCUMENT

  1. Project Management
  2. Agile
  3. Business Intelligence

DESCRIPTION

This product (WBS for Agile Business Intelligence Projects) is an Excel template (XLSX), which you can download immediately upon purchase.

This template provides a work breakdown structure for business intelligence projects and for requirement effort estimation for a waterfall methodology-based project or user story estimation for an agile-based project. The template is based on project requirement complexity (low, medium and high). For this template, the assumption is that ETL (extract, transform, load) and the front-end visualization portion (reporting) are part of project development. Project Management and contingency hours should be considered while estimating any type of project from 10-20% depending on the project, SOW type, external dependencies, anticipated delays in data sourcing, etc.

This template is meticulously structured to cover all facets of an Agile Business Intelligence project. The work breakdown structure (WBS) includes detailed segments for project initiation, planning, execution, monitoring, and closure. Each phase is broken down into manageable tasks to ensure comprehensive coverage and efficient project management.

The WBS also incorporates a robust risk management section, emphasizing the identification, assessment, and mitigation of potential project risks. This ensures that your team can proactively address issues before they escalate, maintaining project momentum and meeting deadlines. The template's design facilitates seamless integration with your existing project management tools and methodologies.

Tailored for Agile methodologies, this template supports iterative development and continuous feedback loops. It allows for flexibility and adaptability, essential for dynamic business environments. The inclusion of user story estimation ensures that all project requirements are accurately captured and prioritized, enhancing the overall project delivery and stakeholder satisfaction.

Got a question about the product? Email us at support@flevy.com or ask the author directly by using the "Ask the Author a Question" form. If you cannot view the preview above this document description, go here to view the large preview instead.

Source: Best Practices in WBS, Work Breakdown Structure Excel: WBS for Agile Business Intelligence Projects Excel (XLSX) Spreadsheet, Daniel M.


$20.00
Optimize your Agile BI projects with this WBS Excel template, crafted by industry experts. Streamline planning, execution, and risk management for success.
Add to Cart
  

ABOUT THE AUTHOR

Author: Daniel M.
Additional documents from author: 30

I am currently an Strategy Manager with Accenture in Chicago, IL. Earlier experience includes Strategy & Analytics Manager at Deloitte Consulting LLP, and Senior Analyst and Analyst roles with AT&T (formerly Nextel de México) in Mexico City, Mexico.

My experience spans 10 years, leading large-scale enterprise implementations of Artificial Intelligence and Machine Learning technologies ... [read more]

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