登录查看更多内容

How can you use social media to build a professional network for data management?

由人工智能和领英社区提供技术支持

Data management is a skill that involves collecting, organizing, analyzing, and sharing data for various purposes. Whether you are a data analyst, a data engineer, a data scientist, or a data enthusiast, you can benefit from building a professional network for data management. A strong network can help you learn new skills, find new opportunities, exchange ideas, and collaborate on projects. But how can you use social media to build a professional network for data management? Here are some tips to get you started.

此文章中的业界达人

由社区从 8 条内容中精选。了解更多

Apurva Vishe

Business Development Manager @ Eazy ERP Technologies ! Talks about Eazy - ERP // DMS // SFA // CRM
Abhishek Chandragiri

Data Scientist & Machine Learning Engineer | AI, NLP & Generative AI Innovator
Javier de la Torre Medina

??Autonomous Specialist | ?? Data Evangelist | ?? Creating value from data

1 Choose the right platforms

Not all social media platforms are equally suited for data management networking. You want to choose the ones that have a large and active community of data professionals, offer relevant content and resources, and allow you to showcase your skills and projects. Some of the most popular platforms for data management networking are LinkedIn, Twitter, GitHub, and Medium. LinkedIn is the largest professional network where you can create a profile, connect with other data professionals, join groups, follow influencers, and share your insights. Twitter is a great way to stay updated on the latest trends, news, and events in data management, as well as to interact with experts, influencers, and peers. GitHub is a platform for hosting and collaborating on code projects, where you can showcase your data management skills, contribute to open source projects, and follow other developers. Medium is a platform for publishing and reading articles on various topics, including data management, where you can share your knowledge, learn from others, and engage with the community.

添加您的观点

Apurva Vishe

Business Development Manager @ Eazy ERP Technologies ! Talks about Eazy - ERP // DMS // SFA // CRM
举报内容
According to me we cannot get all authorised platforms through social media platform. We need to be wise while selecting it. Since we are looking for data platforms we should keep posting all those details we are looking for our platforms. Linked in, Twitter, are some of the platforms where we can get accurate information. WhatsApp community, different groups, Articles, our network can help us

已翻译

赞
Joris Schut

Business Advisor bij BearingPoint / Algemeen bestuurslid Scouting Nederland
举报内容
The networks mentioned here are all relevant for increasing one’s network in the data management space. However, LinkedIn (networking) and Medium (thought leadership) are the more important ones.

已翻译

赞
Javier de la Torre Medina

??Autonomous Specialist | ?? Data Evangelist | ?? Creating value from data
举报内容
En mi experiencia, las mejores redes sociales para hablar de la gestión de los datos son: Linkedin, Reddit y Medium. Es importante estar en los grupos adecuados y crear contenido de calidad pero sobre todo útiles.

已翻译

赞
Sharad Gupta

Channel Director at Veritas, India SAARC & CAA | Data Management Visionary | Empowering Enterprises with Data Protection | Contributor to Industry Forums | Team Builder | Tech Enthusiast | Data-Driven Decision Advocate.
举报内容
To build a professional network for data management on social media, you must select the right platform and approach. LinkedIn is ideal for this purpose. Start by creating a complete and engaging profile that highlights your data management skills and expertise. Follow and connect with professionals in your field, including data analysts, scientists, and industry experts. Share valuable content related to data management, such as articles, case studies, and insights. Join relevant groups and participate in discussions to showcase your knowledge. Engage with your network by commenting on their posts and sending personalized messages to foster meaningful connections.

已翻译

赞

2 Create and share valuable content

One of the best ways to build a professional network for data management is to create and share valuable content that showcases your expertise, interests, and insights. Content can be in the form of articles, blog posts, podcasts, videos, webinars, infographics, or any other format that suits your style and audience. The key is to provide useful information, tips, best practices, case studies, or opinions that can help others solve problems, learn new skills, or discover new opportunities in data management. You can also share content created by others that you find relevant, informative, or inspiring, and add your own comments or questions. By creating and sharing valuable content, you can establish your credibility, demonstrate your skills, attract attention, and spark conversations with other data professionals.

添加您的观点

Abhishek Chandragiri

Data Scientist & Machine Learning Engineer | AI, NLP & Generative AI Innovator
举报内容
To build a network in data management using social media, focus on sharing your skills and knowledge. Post regularly about topics you know well, like data analytics or security. Mix it up with articles, quick tips, and visuals like infographics. Get involved in online chats, answer questions, and team up with other experts for joint projects. Stay on top of new trends to keep your posts fresh and interesting. Use different social media platforms to reach more people, but tailor your content to each one. Lastly, let your personality shine through your posts to create genuine connections.

已翻译

赞
Javier de la Torre Medina

??Autonomous Specialist | ?? Data Evangelist | ?? Creating value from data
举报内容
Hay que considerar, que no todos los usuarios tienen el mismo nivel de conocimiento. Es interesante crear artículos para personas que estén empezando y crear artículos para personas expertas. Conocer el mercado, las soluciones disponibles y como abordar los principales problemas son las temáticas mas interesantes.

已翻译

赞

3 Engage with the community

Creating and sharing content is not enough to build a professional network for data management. You also need to engage with the community by commenting, liking, sharing, following, and messaging other data professionals on social media. Engagement is a two-way street: you need to show interest and appreciation for others' content, as well as respond to feedback and questions on your own content. Engagement is also a way to build relationships, trust, and rapport with other data professionals, as well as to learn from their experiences, perspectives, and insights. You can also join online groups, forums, or chats that are focused on data management topics, where you can participate in discussions, ask for advice, offer help, or find collaborators. Engaging with the community is a way to expand your network, increase your visibility, and enhance your reputation.

添加您的观点

Javier de la Torre Medina

??Autonomous Specialist | ?? Data Evangelist | ?? Creating value from data
举报内容
Aprovechando los distintos posts que se crean, se debe de interactuar para ayudar a distintas personas. Lo más interesante es ver otros puntos de vista, donde tu también puedes aprender y tener nuevos conocimientos.

已翻译

赞

4 Be consistent and authentic

Building a professional network for data management on social media is not a one-time event, but a continuous process that requires consistency and authenticity. Consistency means that you need to post and interact regularly, not sporadically or randomly. You need to have a clear goal, a defined audience, and a relevant message for your social media presence. You also need to follow the etiquette, rules, and norms of each platform and group you join, and respect the opinions and preferences of others. Authenticity means that you need to be yourself, not someone else. You need to show your personality, passion, and values, not just your skills and achievements. You also need to be honest, transparent, and respectful, not deceptive, manipulative, or rude. By being consistent and authentic, you can build a professional network for data management on social media that is based on trust, loyalty, and mutual benefit.

添加您的观点

Javier de la Torre Medina

??Autonomous Specialist | ?? Data Evangelist | ?? Creating value from data
举报内容
Cuando hablamos de ser auténtico, hablamos de compartir un conocimiento de forma natural y que no parezca que se ha aprendido 5 minutos antes de grabar el video o crear el blog. Comentar la experiencia, los problema típicos que te encuentras y porqué haces lo que estás haciendo aporta mucho valor. El factor de aprendizaje también tiene que ser divertido o ameno para que la audiecia se enganche a tu contenido

已翻译

赞

5 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?

添加您的观点

Data Management

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

How can you use social media to build a professional network for data management?

1

2

3

4

5

1 Choose the right platforms

2 Create and share valuable content

3 Engage with the community

4 Be consistent and authentic

5 Here’s what else to consider

Data Management

给文章评分

感谢您的反馈

更多Data Management相关文章

更多相关阅读内容

How can you use social media to build a professional network for data management?

1

2

3

4

5

1 Choose the right platforms

2 Create and share valuable content

3 Engage with the community

4 Be consistent and authentic

5 Here’s what else to consider

Data Management

给文章评分

感谢您的反馈

查看其他技能