数据 未来 可视化
The English language adage, “A picture is worth more than a thousand words,” holds ground even in 2020 and many more years to come. The human brain is programmed to decode data displayed graphically quickly and conveniently. In the age of big data and Internet of Things (IoT), we cannot make the most of data assets until and unless we invent new methods that comply with the ever-growing data and the complications associated with it.
甚至在2020年以及以后的很多年里，英语谚语“一幅图片总价值超过一千个单词”就一直流行。 人脑经过编程，可以快速方便地解码图形显示的数据。 在大数据和物联网(IoT)时代，除非我们发明出符合不断增长的数据及其相关复杂性的新方法，否则我们无法充分利用数据资产。
Today’s data visualization tools are efficient enough to help you refine this data, analyze it to gain useful insights, and interact with data to get your queries resolved. Where all these factors affect decision-making, the future of data visualization has much more to offer.
当今的数据可视化工具已经足够高效，可以帮助您优化此数据，对其进行分析以获得有用的见解，并与数据进行交互以解决您的查询。 在所有这些因素都影响决策的地方， 数据可视化的未来将提供更多。
The data-related complexities are causing frequent and rapid changes in technology, and data visualization services are no exception. What should businesses expect from this technology in the upcoming years? How robust will this technology become, say, in the next 5–10 years? Will the investments those businesses are making in data visualization result in success even after a period? What points should organizations consider before contacting data visualization solution providers for tools and technologies? This blog is designed to answer many such questions. Let’s take them one by one.
与数据相关的复杂性导致技术的快速变化， 数据可视化服务也不例外。 未来几年，企业对这项技术有何期待？ 举例来说，这项技术在未来5-10年内将变得多么强大？ 这些企业在数据可视化方面进行的投资即使经过一段时间也会成功吗？ 在联系数据可视化解决方案提供商以获取工具和技术之前，组织应考虑哪些方面？ 该博客旨在回答许多此类问题。 让我们一一介绍。
How does data visualization impact your businesses?
数据可视化如何影响您的业务？
Visual analysis and exploration techniques are taking an entirely new form and shape. Evolving sources of intelligence, advancements in technology, the dominance of cameras and sensors, and the multidimensional approach is helping data scientists and analysts enjoy the benefits of analytics and insights, with data visualization playing a major role.
视觉分析和探索技术正在采用全新的形式和形式。 不断发展的情报资源，技术进步，相机和传感器的统治地位以及多维方法正在帮助数据科学家和分析师享受分析和见解的好处，其中数据可视化扮演着重要角色。
According to studies, 90 percent of the information human brain grasps comes from visuals, and intelligently designed infographics make a 30 percent better choice over a plain text. These stats represent how visualization can be helpful for your business to achieve new heights in the data-driven future.
根据研究，人脑掌握的信息中有90％来自视觉，而智能设计的信息图表比纯文本的选择要好30％。 这些统计数据代表了可视化如何帮助您的企业在数据驱动的未来达到新的高度。
How advance state-of-the-art is becoming?
最新技术水平如何发展？
End-user exploration tools are getting robust with every passing day to ensure they serve the modern needs of decision-makers. With Business intelligence and Machine Learning in the center of any business, data visualization tools are becoming more advanced and user-savvy. Tools such as QlikView, Qlik Sense, and Power BI are not only simplifying data and presenting it in the most easily understandable form but also offering users the ability to interact with data and discover answers to their questions.
最终用户探索工具日新月异，以确保它们能够满足决策者的现代需求。 随着商业智能和机器学习成为任何业务的中心，数据可视化工具变得越来越先进，并且对用户更加了解。 QlikView，Qlik Sense和Power BI之类的工具不仅简化了数据并以最容易理解的形式显示了数据，而且还使用户能够与数据进行交互并找到问题的答案。
What points businesses must consider before investing in visualization?
企业在进行可视化投资之前必须考虑哪些方面？
- Visuals aren’t only more comfortable to understand but also produce a more convincing argument. According to the American Management Association, through visualization, organizations can reduce the time spent on business meetings by 24%. 视觉不仅使人们更容易理解，而且产生了更具说服力的论据。 据美国管理协会称，通过可视化，组织可以将商务会议所花费的时间减少24％。
Tableau finds that business managers with visual analysis and exploration tools are 28% more likely to get timely information than those who depend on managed reporting.
Tableau发现，具有可视分析和探索工具的业务经理比那些依赖于托管报告的经理获得及时信息的可能性要高28％。
The same report also reveals, 48% of these managers could reach information without IT assistance.
同一份报告还显示， 这些经理中有48％可以在没有IT协助的情况下获取信息。
Bain & Company claims, Companies equipped with advanced analytics capabilities are:
贝恩公司称，具备高级分析功能的公司有：
· 2 times more likely to be in the top quartile of financial performance within their industries· 2 times more likely to utilize data quite often when making decisions· 3 times more likely to execute strategies as intended· 5 times more likely to make decisions before the market peers
· 更可能2次是在财务业绩前四分之一各自行业内·2倍，可能做决定时利用数据往往·3更可能按预期执行策略·5倍铁道部 e 时代可能才做出决定市场同行
5. Sourced from Nucleus Research, BI based data visualization will offer an RoI of $13.01 over every single dollar spent.
5.来自Nucleus Research的基于BI的数据可视化将为每花费一美元提供$ 13.01的投资回报率。
A closer look at the present situations brings it to the notice that businesses today are sitting on the mountains of data that can be a goldmine of information for end-users. If these users could find appropriate tools to reach data, they can make more informed and profitable decisions.
仔细研究当前情况，就会发现当今的企业正坐在海量数据上，这可能是最终用户信息的金矿。 如果这些用户可以找到合适的工具来获取数据，那么他们可以做出更明智，更有利可图的决策。
We have witnessed several upgrades and modifications in visualization techniques, driving efficiency and practicality in analytics and decision making. The future trends in data visualization help us estimate that Data visualization is a promising technology for several years to come.
我们目睹了可视化技术的几次升级和修改，提高了分析和决策制定的效率和实用性。 数据可视化的未来趋势可帮助我们估计，数据可视化是未来几年有希望的技术。
What crucial cases does BI-based data visualization address?
基于BI的数据可视化解决了哪些关键情况？
· Recognizing fields that require your immediate attention
·识别需要立即关注的领域
· Discovering insights that affect user behavior
·发现影响用户行为的见解
· Optimization of operations, functions, and processes
·优化操作，功能和流程
· Anticipation of anomalies and analyzing the best possible route to tackle them
·预测异常并分析解决这些异常的最佳途径
Now, let’s have a quick look at the top trending data visualization practices that may affect your business in the short as well as long term.
现在，让我们快速浏览一下可能在短期和长期内影响您的业务的热门趋势数据可视化实践。
Looking beyond graphs and charts
超越图形和图表
Though graphs and charts are apparently beneficial for data discovery and reporting, the latest data visualization techniques have a higher potential. The emergence of google charts, search console, maps, and more have made data visualization more robust and powerful than ever before. The updated tools of data visualization are powered by AI and self-service BI, which equips business professionals to acquire actionable insights.
尽管图形和图表显然对数据发现和报告很有帮助，但最新的数据可视化技术具有更高的潜力。 Google图表，搜索控制台，地图等的出现使数据可视化比以往任何时候都更加强大和强大。 数据可视化的更新工具由AI和自助服务BI提供支持，这使业务专业人员可以获取可行的见解。
Be Social-Media Friendly
社交媒体友好
The data visualization landscape is expanding its reach and control over social media, thereby engaging a larger number of users. Data scientists, also, have recognized this trend and are evaluating ways to make data visualization techniques more social than ever. Catching the attention of social media users is not an easy task as scrolling is addictive, and the speed conceals crucial information. Businesses can’t grab users’ attention and keep them engaged until and unless they present data in a visually appealing form. A few instances of social media visualization include pictures, GIFs, and YouTube shots.
数据可视化领域正在扩大其覆盖范围和对社交媒体的控制，从而吸引了更多的用户。 数据科学家也已经意识到了这一趋势，并且正在评估使数据可视化技术比以往更加社会化的方法。 要吸引社交媒体用户的注意力并不是一件容易的事，因为滚动会让人上瘾，而且速度会掩盖关键信息。 除非(除非以直观的形式呈现数据)，否则企业无法吸引用户的注意力并使他们保持参与。 社交媒体可视化的一些实例包括图片，GIF和YouTube快照。
Draw a Broader and Detailed Picture of your Data
绘制更广泛，详细的数据图
We have reached an era where IT professionals’ monopoly on data is a part of history. Today, businesses are obsessed with data exploration tools that allow all users within a company to access data, manipulate reports, and extract information. With the integration of self-service business intelligence and advancements in data exploration techniques, time and location are no constraints for users.
我们已经进入了一个时代，IT专业人员对数据的垄断已成为历史的一部分。 如今，企业沉迷于数据探索工具，该工具允许公司内的所有用户访问数据，处理报告和提取信息。 随着自助商务智能的集成和数据探索技术的进步，时间和位置对于用户而言不再是限制。
With the self-service capability, users can build customized dashboards that address their key requirements more precisely. Furthermore, drag and drop functionality enables users to access, visualize, and analyze data with utmost ease.
借助自助服务功能，用户可以构建自定义的仪表板，从而更精确地满足其关键需求。 此外，拖放功能使用户可以最轻松地访问，可视化和分析数据。
Add an interesting touch to Storytelling
为讲故事增添趣味
Stories play a key role in keeping the audience hooked. Thanks to most people who love listening to stories, storytelling is becoming one of the best forms of communication. In the future, it will be of vital importance to communicate experiences and findings through stories. Having said that, the implementation of data visualization tools gets even more important. Turning complex data into delighting stories is a real challenge, but storytelling backed by data visualization cannot only overcome it but also keep you ahead of the curve.
故事在保持观众的吸引力方面起着关键作用。 感谢大多数喜欢听故事的人，说故事已成为最好的交流方式之一。 将来，通过故事交流经验和发现将至关重要。 话虽如此，数据可视化工具的实施变得更加重要。 将复杂的数据转换成令人愉悦的故事是一个真正的挑战，但是在数据可视化的支持下讲故事不仅可以克服它，而且可以使您保持领先地位。
Enjoy Data Journalism
享受数据新闻
Graphs and charts allow you to encapsulate a large chunk of information falling within a given range into a tiny piece of graphics. This type of information makes more sense to end-users when compared to that produced by plain text and tables. Thus, we can see all media houses are making a shift towards data visualization for presenting trends over a prolonged time. The future of data visualization will depend on this capability to wrap information scattered over reports and spreadsheets into sensible visuals and provide it to end-users and the target market segments.
图形和图表使您可以将给定范围内的大量信息封装为一小段图形。 与纯文本和表格产生的信息相比，此类信息对最终用户更有意义。 因此，我们可以看到所有媒体公司都在向数据可视化转变，以长期呈现趋势。 数据可视化的未来将取决于此功能，它将散布在报表和电子表格中的信息包装为明智的视觉效果，并将其提供给最终用户和目标市场领域。
Integrate Intelligence into Business
将情报整合到业务中
Data science technologies such as Business Intelligence and Analytics are making modern business smarter. AI-based visualization makes data discovery a quick and easy job. What’s more, it assists users in finding the information they are looking for and also makes recommendations that convert into benefits. Machine learning (ML) and natural language processing (NLP) can be deployed to divulge crucial insights from data, reducing the data visualization workload for humans.
诸如商业智能和分析之类的数据科学技术正在使现代商业变得更加智能。 基于AI的可视化使数据发现变得轻松快捷。 此外，它还可以帮助用户找到所需的信息，并提出可以转化为收益的建议。 可以部署机器学习(ML)和自然语言处理(NLP)来从数据中泄漏重要的见解，从而减少人类的数据可视化工作量。
Same Experience on Various Platforms
在各种平台上具有相同的经验
It is predicted that handheld devices will largely control the future of technology. However, the present and few years down the lane will use a combination of various devices like desktops, laptops, tablets, mobiles, and more. Technology that cannot offer the entire range of its features on all the available platforms makes little sense. Data visualization services will continue developing capabilities that deliver a common experience to all the users irrespective of which device they are using.
预计手持设备将在很大程度上控制技术的未来。 但是，目前和未来几年将使用台式机，笔记本电脑，平板电脑，移动设备等各种设备的组合。 不能在所有可用平台上提供其全部功能的技术毫无意义。 数据可视化服务将继续开发功能，以向所有用户提供共同的体验，而无论他们使用的是哪种设备。
Final Thoughts:
最后的想法：
Visual profiling of large datasets can only be ensured with data visualization. Over time, data visualization has gained reliance by acquiring robustness and flexibility. Visualization enables users to access data, extract actionable insights, and decide a suitable course of action while making way through the complexities. The future of data visualization will continue empowering visualizers by providing robust and reliable means for storytelling, data journalism, social media integration, self-service BI, and mobile support.
大型数据集的可视化分析只能通过数据可视化来确保。 随着时间的流逝，数据可视化通过获得鲁棒性和灵活性而获得了信赖。 可视化使用户能够访问数据，提取可行的见解，并在解决复杂性的同时确定合适的行动方案。 数据可视化的未来将继续通过提供健壮可靠的手段来提供故事讲述，数据新闻，社交媒体集成，自助服务BI和移动支持，从而为可视化人员提供支持。
翻译自: https://medium.com/swlh/how-data-visualization-is-going-to-look-like-in-the-future-dd6c69a4162e
数据 未来 可视化