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Beyond Excel: Facilitating Data Change in Organizations
Rating: 4.0 out of 5(1 rating)
100 students

Beyond Excel: Facilitating Data Change in Organizations

Drive the transformation of your organization into a data-driven powerhouse.
Created bySkills Elevated
Last updated 1/2025
English

What you'll learn

  • Conduct a basic data audit to identify pain points and opportunities for improvement in Excel-based workflows.
  • Develop a compelling business case for moving beyond Excel, quantifying the potential benefits and ROI of modern data management solutions.
  • Craft effective communication messages for different stakeholder groups to address concerns and build support for change.
  • Design a small-scale pilot project to demonstrate a quick win and build momentum for broader data modernization initiatives.

Course content

6 sections6 lectures42m total length
  • M0700 - Facilitating Data Strategy Change within Your Organization0:58

    Are you looking for actionable techniques to drive data modernization and empower you and your team to embrace new ways of working?

    This course will help you to:

    • Bridge the gap between strategy and implementation.

    • Equip you with practical methods for conducting data audits,

    • Build compelling business cases,

    • Begin with quick-win projects that deliver tangible results.

    Equally important, we'll focus on the human side of change. Teaching you how to:

    • Communicate effectively,

    • Build support for data initiatives,

    • Address concerns about moving away from familiar tools like Excel.

    By the end of the course you will have picked up some of the basic tools to both partake-in and lead data-driven change.

Requirements

  • Experience of working with spreadsheets

Description

Are you ready to transform your organization into a data-driven powerhouse? Are you seeking actionable techniques to not just talk about data modernization, but to actually implement it, empowering your team to embrace new, more effective ways of working? Many organizations recognize the need for data modernization, but struggle with the practical steps required to make it a reality. This module is designed to bridge that critical gap between high-level strategy and on-the-ground implementation, providing you with the concrete tools and strategies you need to drive real change.

We'll equip you with a comprehensive toolkit of practical methods. Including how to:

  • Conduct thorough and insightful data audits: to understand your current data landscape,

  • Build compelling business cases: that clearly articulate the value of data modernization to stakeholders,

  • Identify and implement quick-win projects: that deliver tangible results and build momentum for larger initiatives.

These quick wins in particular will not only demonstrate the value of data modernization but also help to build confidence and buy-in across the organization.

But data modernization isn't just about technology; it's about people. Recognizing this crucial aspect, we'll place equal emphasis on the human side of change.

  • We'll teach you effective communication strategies to clearly articulate the benefits of data modernization,

  • How to build consensus and support for data initiatives across different teams and departments,

  • How to address concerns and anxieties about moving away from familiar tools like Excel.

We understand that change can be challenging, and we'll provide you with the skills to navigate these challenges effectively.

This module is about more than just giving you the technical tools to do data-driven change; it's about empowering you to lead that change. By the end of this module, you'll be equipped with the strategic insights, practical methodologies, and interpersonal skills to successfully guide your organization through a successful data modernization journey.

Who this course is for:

  • Project Mangers
  • Change Agents
  • Team Leaders
  • Department Managers
  • Business Analysts
  • Those seeking to improve processes
  • Those responsible for new data systems and data processes