Coming up with a project planning checklist for your BI modernization or data analytics project is one of the most challenging tasks, particularly for the uninitiated.

Add to that the task of creating a business case that’s both comprehensive and sufficiently-compelling to get approval today and you’ve got a tough job on your hands.

At Rittman Analytics we’re in a great position to see what goes into a good project plan and, as you’d expect, have checklists we use internally to help guide as to what those plans need to cover. We also get to see what good looks like when it comes to successful business case submissions - and ones that fail to get the go-ahead because they’re not hitting the right note with sponsors and stakeholder.

Securing sign-off for the project requires a persuasive business case that clearly articulates the value proposition, the expected return on investment, and the strategic alignment with the organisation's goals. This can be a significant hurdle, particularly when dealing with stakeholders who may not fully understand the intricacies of data analytics or BI modernisation.

To help navigate these challenges, we've compiled a number of resources to help anyone who’s planning their next data analytics project or putting their business case together.

1. Data Analytics Project Planning Scorecard

To check where you are in your planning process, we’ve also developed a Data Analytics Project Planning Scorecard as shown in the screenshot to the right that rates your preparedness for a new data analytics project.

This interactive tool offers valuable insights into areas where you may need to focus more attention in your planning process, and can be found here: Data Analytics Project Planning Checklist Scorecard

2. Data Analytics Project Planning Checklist

A list of 'must-do' activities that we’ve found are essential to successfully scoping, defining, designing and planning a data analytics project, covering:

1. Defining your objectives

2. Assessing your data

3. Understanding your technology stack

4. Planning for data governance

5. Designing your data model and data flows

6. Setting-up your analytics team

7. Developing a project roadmap

8. Preparing for change management

The full checklist is on our website at Data Analytics Project Planning Checklist.

3. Downloadable Project Planning Checklist + Example Business Case

Serious about delivering a successful data analytics project?

Download the exact data analytics project checklist toolkit we use on client engagements and learn advanced tactics for data analytics project planning. our Project Planning Checklist. This comprehensive guide is designed to assist you in the initial stages of your project, ensuring you have a thorough understanding of the scope and requirements. The checklist covers key areas such as defining project objectives, assessing data, understanding the technology stack, and planning for data governance.

Toolkit includes:

✅ Data Analytics Project Planning Checklist Spreadsheet (for Excel/Google Sheets)

✅ Data Analytics Business Case Preparation Spreadsheet (for Excel/Google Sheets)

✅ Pre-populated Example Data Analytics Business Case (for MS Word/PDF viewer)

INTERESTED? FIND OUT MORE

Our Data Analytics Project Discovery Framework aims to provide long-term cost and time savings through an upfront investment in strategy and design, minimizing iteration cycles and delivering tangible business outcomes.

It focuses on understanding and structuring strategy, conducting discovery to transform needs into empirical evidence, designing optimal information architectures and data models, and delivering a concise executive summary and agile roadmap for implementation.

Intended to align the data strategy with business vision, it ensures designs and models are in place for execution, and setting a realistic and deliverable roadmap. Find out more on our Project Discovery Service page or contact us now to book a free, no-obligation Discovery call!