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What do you do if your data visualization project is lacking impact due to common networking mistakes?

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Data visualization is a powerful skill, allowing you to turn complex data into clear and impactful graphics. However, if your project isn't having the desired effect, it could be due to common networking mistakes. Networking, in this context, refers to the distribution and sharing of your visualizations within your professional circles. If you're not reaching the right audience or failing to engage them, your hard work may go unnoticed. It's crucial to identify where things are going wrong and how to correct your course to ensure your visualizations make the impact they deserve.

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Braulio Iglesia Alvarez

Todas tus métricas clave de forma sencilla y visual Gráficos claros y detallados que te permitirán anticipar problemas…
Guilherme Rey

Data & Business Analyst | AI-900 | LSS Yellow Belt | Control and Automation Engineer |
Gaurav Kumar

Senior Manager - Business Analytics @ NBHI | MBA BA - BITS Pilani | Ex - PayU

1 Assess Reach

To determine why your data visualization isn't making an impact, start by assessing your reach. Are the right people seeing your work? Often, visualizations fail to gain traction because they aren't shared with a network that finds them relevant. Expand your professional network by connecting with individuals and groups interested in your data's subject area. Use social media platforms, professional forums, and industry events to share your work with a broader, more interested audience.

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Braulio Iglesia Alvarez

Todas tus métricas clave de forma sencilla y visual Gráficos claros y detallados que te permitirán anticipar problemas o detectar oportunidades Olvídate de procesar información y enfócate en tomar decisiones.
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Lo más frustrante cuando se realiza un proyecto de BI es la pregunta "clave": ?Se puede exportar a Excel? Es fundamental crear cultura analítica, y es también fundamental localizar "evangelizadores", es decir, perfiles analíticos que sean capaces de identificar las ventajas del proyecto y comunicarlas en su entorno Por eso es necesario siempre contar con el apoyo de la dirección, pero también con el apoyo del usuario, identificando a personas que se involucren tanto en el dise?o como en el uso de la solución propuesta Un truco que suelo utilizar es a?adir a los informes "pesta?as de descarga", donde los usuarios puedan ver/descargar los datos tal como están acostumbrados, pero pasando por las nuevas pesta?as para que vean sus ventajas

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CA Amit Jain

I Excel-lerate YOUR professional Growth by 10X | Chartered Accountant | Microsoft MVP EXCEL | Excel Automation Expert | Founder at Bizwiz.co.in | Content Creator 125K+ Followers|
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If this is happening , you can turn it around! Start by ensuring clear and effective communication among team members, using tools like Microsoft Teams for seamless collaboration. Next, leverage professional networks such as LinkedIn to connect with experts who can provide insights and feedback. Attend webinars and join relevant forums to stay updated with the latest trends and tools in data visualization. Lastly, always gather and act on feedback from stakeholders to refine your work.

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Gaurav Kumar

Senior Manager - Business Analytics @ NBHI | MBA BA - BITS Pilani | Ex - PayU
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Using Google Analytics, you can set up tracking on your data visualization dashboard to monitor page views, session duration, and user interactions. This will help you identify which parts of your visualization are engaging and which need improvement.

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2 Engage Peers

Engagement with peers is essential for impactful data visualizations. If your project is not resonating, it might be time to initiate more discussions with colleagues and industry professionals. Ask for feedback, and be open to suggestions for improvement. This interaction can provide valuable insights into how your work is perceived and what might be missing. Peer engagement also increases the likelihood of your visualizations being shared within their networks, amplifying your reach.

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Gaurav Kumar

Senior Manager - Business Analytics @ NBHI | MBA BA - BITS Pilani | Ex - PayU
(已编辑)
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Participating in the "Data Visualization Society" groups on LinkedIn allows you to share your work, get feedback, and discuss best practices with other professionals in the field.

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3 Refine Message

Sometimes the issue isn't with the network but the message itself. Your data visualization should tell a clear story. If the message is muddled or too complex, it's time to refine it. Focus on the key points you want to convey and eliminate any extraneous information that might distract from the main message. Remember, a powerful visualization communicates its point quickly and effectively without overwhelming the viewer.

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Braulio Iglesia Alvarez

Todas tus métricas clave de forma sencilla y visual Gráficos claros y detallados que te permitirán anticipar problemas o detectar oportunidades Olvídate de procesar información y enfócate en tomar decisiones.
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Cuando estudiaba marketing tenía una regla que era "CO-RE-A-CON": conocimiento, reflexión, acción y control Y es que es muy importante: - conocer las preguntas que se deben responder -reflexionar sobre el modelo de datos más adecuado para responderlas -actuar y ejecutar las visualizaciones de datos más adecuadas -controlar que se han obtenido los resultados esperados y en su caso hacer los ajustes necesarios para que se logre el objetivo de ese cuadro de mando Se trata por tanto de un proceso interactivo con el usuario final, dado que es quien debe utilizar el informe y obtener las respuestas necesarias en su trabajo, siendo la escucha activa y le implementación de requerimientos clave para obtener el impacto esperado

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Gaurav Kumar

Senior Manager - Business Analytics @ NBHI | MBA BA - BITS Pilani | Ex - PayU
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if you're presenting sales data, frame it as a story about the company's growth journey, highlighting key milestones and challenges overcome along the way.

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4 Improve Design

A common mistake is overlooking the design aspect of data visualization. A well-designed chart or graph can make a significant difference in its impact. Review your color choices, typography, and layout. Ensure that your design enhances the clarity and readability of the information you're presenting. Sometimes a simple tweak in design can turn a lackluster visualization into a compelling one.

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Braulio Iglesia Alvarez

Todas tus métricas clave de forma sencilla y visual Gráficos claros y detallados que te permitirán anticipar problemas o detectar oportunidades Olvídate de procesar información y enfócate en tomar decisiones.
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Cuando hablamos de dise?o muchas veces pensamos únicamente en colores, tipografías, ...., pero para que un cuadro de mando sea bien acogido y utilizado debemos pensar fundamentalmente en términos de experiencia de usuario y psicología Utilizar el área superior para indicadores claves, el área central para desarrollar dichos indicadores y el área inferior para clarificar más detalles es un principio básico, pues leemos de arriba abajo Utilizar el espaciado de forma inteligente para que cada gráfico tenga su sitio y haya un sitio para cada gráfico Dise?ar un sistema adecuado de navegación por el informe, para que sea fácil e intuitivo pasar de "los resúmenes" a "los detalles", y volver nuevamente al inicio para continuar nuestro análisis

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Gaurav Kumar

Senior Manager - Business Analytics @ NBHI | MBA BA - BITS Pilani | Ex - PayU
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Invite a group of colleagues to a feedback session, observe how they interact with your dashboards, and note any confusion or difficulties they experience. Use this feedback to refine your design.

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5 Utilize Feedback

Gathering feedback is a powerful tool for improving your data visualization projects. When networking, don't just share your work; seek out constructive criticism. Listen to what others have to say about your visualizations and be willing to make changes based on their input. Feedback can help you identify blind spots in your design or storytelling that you might not have noticed on your own.

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Guilherme Rey

Data & Business Analyst | AI-900 | LSS Yellow Belt | Control and Automation Engineer |
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Collecting feedback is essential for improving data visualization projects. By seeking constructive criticism during networking, you can identify blind spots in design or narrative that may go unnoticed. Being open to making changes based on these insights can significantly enhance the impact and effectiveness of your data visualizations.

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6 Share Strategically

Finally, consider how and where you are sharing your data visualizations. Are you posting at times when your target audience is most active? Are you using the right platforms that cater to professionals interested in your data? Tailor your sharing strategy to the habits and preferences of your network to increase the visibility and impact of your visualizations. Strategic sharing means not just broadcasting your work but making sure it lands in front of the right eyes at the right time.

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Gaurav Kumar

Senior Manager - Business Analytics @ NBHI | MBA BA - BITS Pilani | Ex - PayU
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Sharing your visualizations on LinkedIn during peak hours (such as weekday mornings) can increase visibility. Tailor your content for different platforms by creating short, engaging summaries for social media and more detailed explanations for professional forums or your personal website.

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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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What do you do if your data visualization project is lacking impact due to common networking mistakes?

1

2

3

4

5

6

7

1 Assess Reach

2 Engage Peers

3 Refine Message

4 Improve Design

5 Utilize Feedback

6 Share Strategically

7 Here’s what else to consider

Data Visualization

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What do you do if your data visualization project is lacking impact due to common networking mistakes?

1

2

3

4

5

6

7

1 Assess Reach

2 Engage Peers

3 Refine Message

4 Improve Design

5 Utilize Feedback

6 Share Strategically

7 Here’s what else to consider

Data Visualization

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感谢您的反馈

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