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Last updated on 2024年4月22日

What do you do if your senior stakeholders need help making informed decisions using data analytics tools?

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When senior stakeholders struggle with data analytics tools, it's essential to step in and provide guidance. These tools can be complex, but they are vital for making informed decisions. You need to ensure that your stakeholders understand how to interpret the data presented to them. This involves a combination of technical support, education, and strategic insight. By empowering them with the right skills and knowledge, they can make the most of data analytics to drive the business forward.

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Lesley Wilson

Process Lead Trainer | Six Sigma Black Belt | Aspiring Data Analyst

1 Educate Them

Education is the cornerstone of empowering senior stakeholders to use data analytics effectively. Start by providing a basic overview of how the tools work and the types of data they can analyze. Use simple language and real-world examples to illustrate points. This foundation will help them grasp the potential impacts of data-driven decisions on the organization's strategy and operations. Tailoring the learning experience to their specific needs and learning styles can also increase engagement and retention of the information.

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Lesley Wilson

Process Lead Trainer | Six Sigma Black Belt | Aspiring Data Analyst
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Help, and at the same time educate. Its good to show Others what other tools are available to simplify our work and give more time for other tasks.

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Paul Johnson

COO, SiETECH UK. Identity Management, AI/ML, Privacy, Digital Transformation, Operations.
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Education is a 2 way street, the analytics team also need to understand what results are needed and why - this will cut down iterations to get to something useful. Stakeholders should make some effort to mock up (even if hand drawn) an example result(s) with parameters such as filtering, sorting, drill down, graphics etc.

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2 Simplify Data

Complex data can be overwhelming, so it's crucial to present it in a simplified manner. Utilize visual aids like charts and graphs to make data more digestible. By breaking down analytics into key insights, stakeholders can quickly understand the implications without getting bogged down in the details. Encourage them to focus on the data that aligns with their strategic goals and to ask questions whenever they need clarification. Simplification is about making data accessible, not dumbing it down.

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Paul Johnson

COO, SiETECH UK. Identity Management, AI/ML, Privacy, Digital Transformation, Operations.
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This title should be "Simplify Information" or "Simplify Knowledge" - simplifying data is basic "plumbing" work - the information aspect is much more useful and knowledge includes adding some human intelligence. Simplification and accessibility are not the same thing. Agree with other points.

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3 Provide Support

Continuous support is vital as stakeholders navigate through the complexities of data analytics tools. Offer regular training sessions and create a helpdesk for answering their queries. By being available to assist with technical issues or to discuss data interpretations, you foster an environment where stakeholders feel confident to explore and use the analytics tools. Remember, support is not just about solving problems; it's also about encouraging curiosity and experimentation.

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Paul Johnson

COO, SiETECH UK. Identity Management, AI/ML, Privacy, Digital Transformation, Operations.
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Agreed - and is a very interactive relationship. Personal (soft) skills are important here, as well as honest feedback regarding capabilites, capacity and internal abilities.

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4 Foster Collaboration

Encourage stakeholders to collaborate with data analysts or other knowledgeable team members. This collaboration can lead to a more profound understanding of data analytics and its applications. When stakeholders work closely with experts, they can gain insights into the nuances of data interpretation and decision-making. Collaboration also helps in building a data-centric culture within the organization, where everyone appreciates the value of data-driven insights.

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Paul Johnson

COO, SiETECH UK. Identity Management, AI/ML, Privacy, Digital Transformation, Operations.
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Absolutely essential. Also important to strategise and plan what happens when the data tells a different story to the current strategy, plans, resourcing and budget allocations.

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5 Implement Feedback

Listening to feedback from stakeholders about their experiences with data analytics tools is essential. Their input can help identify gaps in their understanding or in the tool's functionality. Use this feedback to adjust training programs, enhance the tools, or streamline data presentation. Acknowledging and acting on stakeholder feedback demonstrates that their insights are valued and that you are committed to improving their decision-making capabilities.

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Paul Johnson

COO, SiETECH UK. Identity Management, AI/ML, Privacy, Digital Transformation, Operations.
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This is also very interactive and requires a higher level of trust. Most business leaders will have a dedicated sme, rather than access to a pool of sme's.

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6 Monitor Progress

Finally, monitor the progress of your stakeholders as they become more adept at using data analytics tools. Track their engagement with the tools, the quality of decisions made using data, and their overall satisfaction with the process. Monitoring provides valuable information that can be used to refine your approach, ensuring that stakeholders continue to develop their skills and make increasingly informed decisions.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Senior Stakeholder Management

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What do you do if your senior stakeholders need help making informed decisions using data analytics tools?

1

2

3

4

5

6

7

1 Educate Them

2 Simplify Data

3 Provide Support

4 Foster Collaboration

5 Implement Feedback

6 Monitor Progress

7 Here’s what else to consider

Senior Stakeholder Management

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What do you do if your senior stakeholders need help making informed decisions using data analytics tools?

1

2

3

4

5

6

7

1 Educate Them

2 Simplify Data

3 Provide Support

4 Foster Collaboration

5 Implement Feedback

6 Monitor Progress

7 Here’s what else to consider

Senior Stakeholder Management

给文章评分

感谢您的反馈

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