{"id":15941,"date":"2017-04-18T17:52:00","date_gmt":"2017-04-19T00:52:00","guid":{"rendered":"https:\/\/devwww.3cloudsolutions.com\/post\/using-real-time-data-insights-monitoring-2\/"},"modified":"2024-04-17T14:03:33","modified_gmt":"2024-04-17T21:03:33","slug":"using-real-time-data-insights-monitoring","status":"publish","type":"post","link":"https:\/\/3cloudsolutions.com\/resources\/using-real-time-data-insights-monitoring\/","title":{"rendered":"Using Real-Time Data Insights & Monitoring"},"content":{"rendered":"

Utilizing real-time streaming tools, such as the Azure<\/a> IoT Hub<\/a> or Event Hub<\/a>, can give organizations quick insights into their data and allow for more accurate and quick decision making. In this post, I will highlight some real-time streaming solution examples, as well as the business value gained by their implementation.<\/p>\n

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\"RealTimeStreamingIoT.jpg\"<\/p>\n

Real-time Application Insights<\/h2>\n

In our first example, let\u2019s consider a company that provides a web or mobile application to\u00a0its internal or external customers. By adding just a few simple lines of streaming code, data can easily be sent asynchronously to Azure. With this code, key application events such as logins, daily usage, or even new data entries are streamed in real time to Azure where you will be able to perform real-time analysis, apply machine learning, or send alerts to key members of your team.<\/p>\n

Continuing with the examples above, some key actions that\u00a0may add value for your team include:<\/p>\n

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  1. Email or SMS Text Notifications: <\/strong>Send a notification to a customer\u00a0who still has items in their shopping cart, with details on what they added during their last visit to the website.<\/li>\n
  2. Recommendations Engine<\/strong>: Send a follow-up email to your internal team or customers \u2013 running data through a machine learning model with a recommendations engine to provide just that, recommendations on correlated products or services.<\/li>\n
  3. Missed Sales Opportunities: <\/strong>Real-time streaming can be set up to determine missed sales opportunities due to low inventory or product issues. Someone can then take immediate corrective\u00a0action to prevent further profit loss.<\/li>\n
  4. Leads on High-Value Products\/Services: <\/strong>Internal alerts or workflows can be triggered based on product interest. If a customer is looking for a highly-valued product, or an item\/service with a high margin, a sales team member\u00a0can get a text message or email with suggested actions.<\/li>\n
  5. Fraud Detection: <\/strong>If your application accepts coupons, you\u00a0can even begin checking for fraud in real time. When a coupon code is used multiple times in the same location or with the same IP address, a general manager\u00a0can get an alert to the problem.<\/li>\n<\/ol>\n

    Real-Time Monitoring<\/h2>\n

    There are many real-time machines, devices, equipment, and gateways that already exist or are being deployed in operations and that have been outfitted with sensors. Additionally, there are many that have been approved for Azure IoT! You can check out the full list here<\/a>.<\/p>\n

    As mentioned earlier, a small amount of code is added to your device so that the device’s sensor and telemetry data<\/a> can be sent to Azure. Azure is an amazing tool in that it can ingest data from thousands of devices simultaneously and in real time. Through this process, Azure can provide the following benefits:<\/p>\n