登录查看更多内容

What are the emerging BI trends and technologies that you are excited about or want to learn more about?

由人工智能和领英社区提供技术支持

Business intelligence (BI) is the process of transforming data into insights that can help businesses make better decisions. BI tools and platforms enable users to collect, analyze, visualize, and share data from various sources. But BI is not a static field. It is constantly evolving and adapting to new trends and technologies, such as machine learning, cloud computing, and augmented analytics. In this article, we will explore some of the emerging BI trends and technologies that you are excited about or want to learn more about.

此文章中的业界达人

由社区从 2 条内容中精选。了解更多

1 Machine learning and BI

Machine learning (ML) is a branch of artificial intelligence (AI) that enables systems to learn from data and improve their performance without explicit programming. ML can enhance BI in many ways, such as automating data preparation, generating insights, and providing recommendations. For example, ML can help BI users to identify data quality issues, discover hidden patterns, and optimize business outcomes. ML can also enable BI to be more proactive and predictive, rather than reactive and descriptive.

添加您的观点

Mukunda Krishnaswamy

?? State Assessment Insights | CEO and Founder of Lumos Learning
举报内容
A good example for this is Amazon KDP. Amazon provides a dashboard for independent authors and publishers where they can see predictions for the number of units they are likely to sell on a given day. This data is provided alongside past sales data.

已翻译

赞

2 Cloud-based BI

Cloud-based BI refers to the delivery of BI services and solutions over the internet, rather than on-premise or hybrid models. Cloud-based BI offers many benefits, such as scalability, flexibility, cost-effectiveness, and accessibility. Cloud-based BI can also enable faster and easier integration of data from multiple sources, such as web, mobile, social media, and IoT. Cloud-based BI can also leverage the power of cloud computing to support advanced analytics, such as ML and AI.

添加您的观点

3 Augmented analytics

Augmented analytics is a term that describes the use of AI and ML to augment human capabilities and intelligence in the BI process. Augmented analytics can automate and simplify tasks, such as data preparation, analysis, visualization, and storytelling. Augmented analytics can also provide natural language interfaces, such as voice and text, to enable users to interact with data more intuitively and naturally. Augmented analytics can also generate insights and recommendations that are relevant, actionable, and personalized.

添加您的观点

4 Data storytelling and visualization

Data storytelling and visualization are the techniques of communicating data and insights in a compelling and engaging way. Data storytelling and visualization can help BI users to understand, interpret, and share data more effectively and efficiently. Data storytelling and visualization can also leverage the power of visual elements, such as charts, graphs, maps, and dashboards, to convey complex and large data sets in a simple and clear way. Data storytelling and visualization can also use narratives, emotions, and context to connect with the audience and influence their decisions.

添加您的观点

5 Self-service BI

Self-service BI is the approach of empowering end-users to access, analyze, and visualize data without relying on IT or data experts. Self-service BI can enable users to explore data, ask questions, and find answers on their own, at their own pace, and with their own tools. Self-service BI can also foster a culture of data literacy and democratization, where everyone can use data to make informed and data-driven decisions. Self-service BI can also reduce the workload and costs of IT and data teams, and improve the collaboration and alignment between business and technical stakeholders.

添加您的观点

6 Data governance and ethics

Data governance and ethics are the principles and practices of ensuring the quality, security, privacy, and compliance of data and its use. Data governance and ethics are essential for BI, as they can help to protect the integrity, reliability, and trustworthiness of data and insights. Data governance and ethics can also help to prevent and mitigate risks, such as data breaches, misuse, bias, and discrimination. Data governance and ethics can also help to align the data and BI strategy with the business goals and values, and the legal and ethical standards.

添加您的观点

Kenneth Tse

Regional Project Manager at BIPO Service Global Limited
举报内容
The article topic is "...that you are excited about...". However, the article just illustrate the "pure" concepts only. After reading, it is unclear to readers how BI / ML emerging can help business users to understand / archieve better business objects. Workflow / Business process must be involved to explain how BI / ML emerging changes the business practice "significiantly and makes you so excited".

已翻译

赞

Business Intelligence

+ 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

What are the emerging BI trends and technologies that you are excited about or want to learn more about?

1

2

3

4

5

6

1 Machine learning and BI

2 Cloud-based BI

3 Augmented analytics

4 Data storytelling and visualization

5 Self-service BI

6 Data governance and ethics

Business Intelligence

给文章评分

感谢您的反馈

更多Business Intelligence相关文章

更多相关阅读内容

What are the emerging BI trends and technologies that you are excited about or want to learn more about?

1

2

3

4

5

6

1 Machine learning and BI

2 Cloud-based BI

3 Augmented analytics

4 Data storytelling and visualization

5 Self-service BI

6 Data governance and ethics

Business Intelligence

给文章评分

感谢您的反馈

查看其他技能