What do you do if your organization lacks a culture of innovation in data analytics?

由人工智能和领英社区提供技术支持

Data analytics is the process of collecting, processing, analyzing, and communicating insights from data to support decision making, problem solving, and innovation. However, not all organizations have a culture that encourages and fosters data-driven innovation. If you work in such an organization, you might face challenges such as lack of resources, support, skills, or vision for data analytics. How can you overcome these barriers and promote a culture of innovation in data analytics? Here are some tips to help you.

此文章中的业界达人

由社区从 7 条内容中精选。了解更多

1 Identify the value proposition

The first step is to identify the value proposition of data analytics for your organization. What are the goals, needs, and pain points of your stakeholders, customers, and partners? How can data analytics help them achieve better outcomes, improve efficiency, reduce costs, or create new opportunities? You need to communicate the benefits and impact of data analytics in a clear, concise, and compelling way. Use stories, examples, and metrics to illustrate how data analytics can add value and solve problems.

添加您的观点

Augusto G.

Data Analytics Specialist @ CI&T
举报内容
By identifying a lack of innovation in analytics, a compilation of information can be created to present to decision-making managers, demonstrating: What opportunities the company is failing to take advantage of in improving efficiency, reducing costs and which analytics technologies could help in these aspects. Furthermore, exemplify how competitors are using analytics to stand out.

已翻译

赞
Wilfredo Alpirez

Senior Data Engineer |Data Scientist|AWS|Azure|Backend Engineer|Python|Snowflake|SQL|LLMS|Data Driven|
举报内容
Para aprovechar al máximo la analítica de datos, es esencial identificar la propuesta de valor para tu organización. ?Cuáles son los objetivos, necesidades y desafíos de las partes interesadas, clientes y socios? ?Cómo puede el análisis de datos ayudarles a mejorar resultados, eficiencia, reducir costos o crear nuevas oportunidades? Comunica claramente los beneficios y el impacto del análisis de datos utilizando historias, ejemplos y métricas para ilustrar cómo agrega valor y resuelve problemas. Esta comprensión sólida permite impulsar la adopción y el impacto de la analítica de datos en tu organización.

已翻译

赞

2 Build a coalition of champions

The next step is to build a coalition of champions who can support and advocate for data analytics in your organization. These are the people who share your vision, understand the value proposition, and have the influence, credibility, and network to drive change. They can be leaders, managers, peers, or experts from different departments, functions, or levels. You need to engage them, align them, and empower them to spread the word, provide feedback, and mobilize resources for data analytics.

添加您的观点

Augusto G.

Data Analytics Specialist @ CI&T
举报内容
To expand the data culture in the company, having a group of interested data literate people can help a lot. Data heavy users from different departments can help educate other employees in data culture and help other people understand the benefits of adopting analytics innovations.

已翻译

赞

3 Experiment and learn

The third step is to experiment and learn from data analytics projects. You don't need to wait for a perfect plan, a big budget, or a complete data set to start innovating. You can use agile methods, such as scrum or sprints, to test hypotheses, prototype solutions, and iterate based on data and feedback. You can also use low-cost or free tools, such as Excel, Google Sheets, or Tableau Public, to perform data analysis and visualization. The key is to learn from failures, celebrate successes, and share lessons and best practices.

添加您的观点

Augusto G.

Data Analytics Specialist @ CI&T
举报内容
Many of the most incredible analytics technologies are open source. Experimenting and creating MVP's with open source technologies can be a great way to test and learn, generating value and some quick wins. It is also a good way to defend possible more robust investments in analytics solutions.

已翻译

赞

4 Scale and sustain

The final step is to scale and sustain the data analytics culture in your organization. You need to measure and demonstrate the results and impact of data analytics on your key performance indicators, customer satisfaction, and competitive advantage. You also need to embed data analytics into your processes, systems, and policies, and ensure that they are aligned with your strategy and culture. Moreover, you need to invest in developing the skills, capabilities, and mindset of your data analytics team and stakeholders, and provide them with the tools, platforms, and support they need.

Data analytics can be a powerful source of innovation for your organization, but it requires a culture that embraces and enables it. By following these tips, you can overcome the challenges and foster a data analytics culture that drives value, growth, and transformation.

添加您的观点

Augusto G.

Data Analytics Specialist @ CI&T
举报内容
Once the data culture begins to consolidate in the company, the need will arise to implement governance and people training policies. As new data-driven features are born, it is essential that good data practices are used, especially regarding the origin and reliability of the data.

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

Gilberto García-Vazquez

Chief Economist @ Datawheel | Economic Complexity, Smart Diversification
举报内容
The key lesson learned in tackling the challenge of fostering a culture of innovation in data analytics is the importance of leading by example. This involves championing the cause, emphasizing the tangible benefits of data-driven decisions, and encouraging a team environment ripe for experimentation. Providing resources and celebrating both successes and learning experiences motivate further exploration. This approach cultivates an atmosphere where innovation thrives, demonstrating that a proactive stance and supportive environment are pivotal in transforming an organization’s analytical capabilities.

已翻译

赞
Augusto G.

Data Analytics Specialist @ CI&T
举报内容
If you are trying to implement an analytics culture in your company, prioritize low-cost (open source) solutions that deliver quick value, without the need for major process changes. Over time, analytics solutions are likely to gain acceptance and popularity, and people will become more open to more robust solutions and more disruptive changes.

已翻译

赞

Data Analytics

+ 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

What do you do if your organization lacks a culture of innovation in data analytics?

1

2

3

4

5

1 Identify the value proposition

2 Build a coalition of champions

3 Experiment and learn

4 Scale and sustain

5 Here’s what else to consider

Data Analytics

给文章评分

感谢您的反馈

更多Data Analytics相关文章

更多相关阅读内容