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Last updated on Dec 22, 2024
  1. All
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  3. Data Visualization

You're navigating the data visualization process. How do you keep stakeholders engaged from start to finish?

In the data visualization process, engaging stakeholders from start to finish is key to success. Try these strategies:

- Involve them early on by seeking input on the data points that matter most to them.

- Provide regular updates with clear, concise visualizations that highlight progress and insights.

- Encourage feedback throughout the process to foster a sense of ownership and collaboration.

What strategies do you find effective for maintaining stakeholder engagement in data projects?

Data Visualization Data Visualization

Data Visualization

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Last updated on Dec 22, 2024
  1. All
  2. Engineering
  3. Data Visualization

You're navigating the data visualization process. How do you keep stakeholders engaged from start to finish?

In the data visualization process, engaging stakeholders from start to finish is key to success. Try these strategies:

- Involve them early on by seeking input on the data points that matter most to them.

- Provide regular updates with clear, concise visualizations that highlight progress and insights.

- Encourage feedback throughout the process to foster a sense of ownership and collaboration.

What strategies do you find effective for maintaining stakeholder engagement in data projects?

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Help others by sharing more (125 characters min.)
459 answers
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    Aabiyah Zehra

    Data Analytics Intern at Brookfield Asset Management | Prev @ EY | Master of Applied Computing | AWS AI & ML Scholar’24 | Former Chairperson, IEEE JHSB

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    A strategy I really want to try out is using mini-experiments with data simulations. Letting stakeholders suggest variations like pricing strategies or market conditions to help them understand the data better and be more involved in the visualization process. This lets them see the immediate impact of their decisions on the data, keeping them deeply engaged.

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    MSc. Dat Le

    Digital Transformation - Data Scientist - Planning Specialist

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    1️⃣ Understand their needs – Tailor visuals to their goals. 2️⃣ Collaborate – Regular check-ins and co-creation sessions. 3️⃣ Tell a story – Use clear narratives and highlight key insights. 4️⃣ Simplify – Clarity over complexity, always. 5️⃣ Make it interactive – Provide tools for exploration and scenario testing. 6️⃣ Educate and empower – Boost data literacy and invite feedback. Engaged stakeholders = better decisions. Let’s create visuals that inspire action! 🚀 #DataVisualization #StakeholderEngagement #DataScience

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    14
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    Nada AKODAD

    Senior Consultant

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    The following steps outline an effective approach to keep stakeholders engaged and ensure the success of the data visualization process. - Define clear objectives to ensure a shared understanding of project goals and priorities. - Solicit input from cross-functional teams throughout the design and review phases. - Use storytelling to improve data accessibility and comprehension and focus on simplicity and clarity. - Share progress updates and collaboratively pursue continuous improvement. - Conclude with a call to action outlining actionable next steps.

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    9
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    Marjan Todorov

    Operational Excellence Manager at Aptiv

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    Always start with the problem that needs to be solved with data visualization. The data visuals/insights should be helping the decision making process. Engage from the start the end users and also the decision maker. Keep the engagement by timely addressing and solving constructive suggestions for improvement. Strive for functionality first, rather than making it perfect.

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    8
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    Ketan Patil, MBA

    Procurement & Supply Chain Leader | Strategic Sourcing | Digital Procurement (SAP Ariba, S/4HANA) | Cost Optimization (£15.8M+ Savings) | Supplier Negotiation | ESG & Sustainability | AI & Automation | Power BI, Tableau

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    Engaging stakeholders throughout the data visualization process requires collaboration, storytelling, and adaptability. I begin by understanding their priorities, ensuring visuals align with their goals and inform decisions. Rather than static charts, I create interactive dashboards for a hands-on experience. Storytelling is key—transforming complex insights into compelling narratives that connect data to tangible outcomes. Regular feedback loops keep stakeholders involved, ensuring the final visualization both informs and inspires. It’s not just about presenting data but enabling stakeholders to unlock its full potential.

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    6
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    Venkat Krishna

    Accelerating Digital Transformation in Manufacturing, Delivering productivity, quality and traceability with IoT & Industry 4.0

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    1. Lead with business objectives, allow technology to take the back seat, stay focused on the outcomes at all times 2. Engage users in the journey, set expectations for different stage of maturity, deliver early wins and keep moving towards the long term 3. Rarely will two of us agree on what is great visualization - leverage on configurability and flexibility - when it comes to analytics, it is not one size, one fit 4. Divide acceptance: validation and UX. Establish control over data, resolve data quality, ensure real time orientation and stability first. Then, build the visual dazzle. 5. Actionable outcomes emerge as winners in the long run - ASAP start getting outcomes from insights.

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    5
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    Dr. Muhammad Mustapha Ishaq (CRM, CSAA, MNES, FIFP)

    Financial Econometrics | Islamic Finance | Digital Innovation

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    One thing I’ve found helpful with engaging stakeholders through data visualization is knowing how to balance between the most relevant insight that can be sourced out of the data and it’s presentation. It matters most for the narrative/ flow in all circumstances.

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    4
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    Bruno Pires

    Database Analyst - Argo Solutions | SQL | Python | Data Analytics

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    I believe the success of a data visualization project is directly tied to the ability to connect with stakeholders through clear, objective, and consistent communication. This is essential for aligning expectations and identifying key insights in a simple and effective way. Additionally, providing regular updates while maintaining initial simplicity helps demonstrate the overall progress of the project. This entire process should be based on continuous feedback from the consumers of this information, ensuring that the analyses meet their real needs.

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    4
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    Francois Rousseau

    Vice-président des technologies de l’information et de la transformation numérique

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    Il est important d’être conscients que la visualisation des données est d’abord un moyen ou un outil de prise de décision, de découverte de connaissances utiles à l’innovation ou à l’optimisation. Pour de l’intérêt et des résultats optimaux, il faut d’abord avoir un enjeu organisationnel important à résoudre (ex. : consommation d’un produit ou programme coûteux à mettre en place), un problème à résoudre (ex. : explosion de certains coûts), avoir une qualité des données (ex. : codification dans les opérations) et la maturité organisationnelle pour prendre des décisions audacieuses. La visualisation sans décision concrète, c’est non!

    Translated
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    Snehita Moturu

    Data Analyst | Business Analyst | MS Data Analytics Engineering @GMU | Ex-TCSian | #WeLocal’24

    • Report contribution

    Keeping stakeholders engaged is all about communication. Ask early: Find out what matters most to them. Share updates: Use simple visuals to show progress. Encourage feedback: Make them part of the process.

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