包阅导读总结
1. 关键词：Business Continuity、Data Analytics、Cyberthreats、Customer Expectations、Employee Experience
2. 总结：本文强调通过实时数据解决企业面临的业务问题，包括优化应用和基础设施、应对网络威胁、满足客户和员工期望，指出很多业务问题本质是数据问题，实时数据能提升企业效益和应对风险的能力。
3. 主要内容：
– 总体：以 3 步利用数据提升安全、数据弹性和用户体验，确保业务连续性，80%受访公司因实时数据分析增收。
– 数据问题 1：企业应用和基础设施需优化可用性和性能，如流媒体服务未实时观测数据致服务中断，造成损失。
– 数据问题 2：网络威胁增加，企业需凭借数据实时洞察以阻止威胁，减轻攻击损失。
– 数据问题 3：客户和员工期望提高，电商体验不佳致顾客流失，员工找不到所需信息影响工作，这都是数据问题。
思维导图：
文章地址：https://www.elastic.co/blog/how-to-put-your-untapped-data-to-work-to-transform-your-business
文章来源：elastic.co
作者：Jennifer Klinger
发布时间：2024/6/24 16:11
语言：英文
总字数：875字
预计阅读时间：4分钟
评分：86分
标签：数字体验,客户支持,网络安全,真实用户监控,搜索分析
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Ensure business continuity, protect your organization from security risk, and improve your customers’ and employees’ experiences all by putting your data to work in real-time. You already have the data — why not make it chip in for rent? A recent study found that 80% of companies surveyed saw an increase in revenue due to real-time data analytics.
The reason you can solve these all-encompassing, complex business problems with data? It’s because so many of your business problems are really just data problems in disguise. Let’s dive into a few of those problems and how you can solve them.
3 business problems are actually data problems
Data problem #1: Your enterprise applications and infrastructure must be optimized for availability and performance. Imagine you’re the IT leader of a streaming service, and the season finale of the most popular, talked-about show on your platform just dropped. And then the service went down. Twitter is outraged. Your teams are calling. Everyone is frantic. You can see fans actively leaving, even canceling their subscriptions in frustration (over 60% of outages cost at least US$100,000, and 15% cost over US$1 million).
If we rewind this situation and look at the data leading up to that unplanned downtime, there were signs that pointed to systems reaching capacity and that things were about to go south. If your streaming service was always observing what all the data was saying in real time, it could have prevented this cinematic catastrophe.
Data problem #2: With the increase in cyberthreats where bot attacks alone doubled throughout 2023, organizations need to do everything in their power to identify threats and act quickly to stop them in their tracks. I’m sure a company you’ve interacted with has been a victim of a cyber attack in the past six months. Their data indicated that an attack was unfolding. If those companies were able to get real-time insights from that data, it’s possible that the threats could have been stopped or at least made the damage less severe.
Data problem #3: Customer expectations are constantly increasing, and with that is the necessity to anticipate their needs and personalize their experiences. When it comes to ecommerce customers, 69% of online shoppers go straight to the search bar when visiting ecommerce sites, but 80% leave the site due to poor experiences.
Employee expectations are also increasing; they want to find the information they’re looking for easily in order to solve issues quickly and devote attention to more complicated projects. If employees can’t find the information, files, or data they need, it can lead to lost productivity, decreased accuracy, decreased morale, and lost credibility for the company if employees aren’t able to help their customers. This is a data problem.
