Power of on-premise and on-device experience analytics

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We are now confronted with greater obstacles than we have ever encountered before. We need to find new methods of solving them. For instance, we might have questions such as - How do you measure engagement or loyalty when your customers are on the go? How can you understand what they are interested in? What activities do they engage in on their devices or while using connected systems and devices for digital services? or How can you tell whether your product strategy is working? In this article, we will explore how our newest solution—the power of on-premise and on-device experience analytics that can help you gain insights into your customer’s lives to make better decisions that will help meet their needs.

What is On-Premise Analytics?

On-premise analytics is a method of analyzing data using on-premise computational power in company owned and operated servers, relying on the security and stability of a closed, disconnected network. This is because the servers are isolated from the real world and are not susceptible to issues such as network failures, security threats, or any other issues. A business analyst’s main concern when utilizing this strategy is whether there will be any downtime or if the service will be completely lost or not. As a result, analytics’ dependability and security become a significant concern. Having a device analytics engine helps analyze sensitive data at the root where it is generated and has no need to push the data to an external analytics server for further processing and decision outcomes. On-premise analytics has its own superpowers that are unparalleled.

The Advantages of On-Premise Analytics

For many, On-Premise Analytics could be the right choice for their businesses as it provides data points to understand user behavior and seamless customer experience at the source where the data is generated. On-premise and on-device analytic setup is safe, easier to roll out with the exception of a small amount of effort in configuration. It has a wide range of collection tools and granularity that is ideal for analyzing large volumes of data and reporting findings in real-time. On-premise analytics provide the best way to process and collect data, draw hypotheses and make quicker decisions without the worry of accidental data leaks and security compromises.

What is On-Device Analytics?

On-Device Analytics is defined as the on-the-go type of analytics where data is collected directly from a device or appliances. With the growth in digital the range of devices has grown from mobiles phones, laptops to ATM machines, connected gadgets, a variety of connected systems and services where users are provided products or solutions over a variety of circumstantial needs, for example, Vending machines, Ticket machines, Self-driving cars, inflight entertainment, gaming, and a vast range of devices used in industrial automation. It has various capabilities like customer satisfaction, user engagement, media impact, task completion, anomaly detection, etc. So in today’s times, it is most preferred for marketers to consider on-device analytics. On-device insights can help you identify insights that can be powerful in combination with on-premise data. One of the big challenges that product owners face is that they do not have all the information that they require. If you want to understand what are the best use case KPIs of your products, you can’t easily find them with the amount of AI and automation in the world today. On-device insights give timely insights as a solution to this problem. It helps marketers to gain all the information that they need in just a few seconds.

The Advantages of On-Device Analytics

On-Device Analytics helps product owners and marketers by giving them instant insight into problems faced by users. Let us understand some of these facts in detail:

  • On-device analytics offer businesses a stronger competitive edge against their rivals because they can allow you to convert your existing customers and convert potential customers much faster than cloud-based analytics solutions.
  • Advanced edge analytics AI and recommendation can help resolve, correct and improve user journeys at a faster rate.
  • It can be deployed to work in correlation with the on-premise model where the analytics data processing can happen simultaneously at the edge and at a collective higher level as a hub and spoke model where each device hypothesis could feed into the central on-premise hub and collectively make user journey improvements.

How to use on-premise and on-device experience analytics for your business?

In order, to make your company or business successful you must use on-premise and on-device analytics to get accurate insight and real-time data. Below are a few points that will make you have a clear understanding of how to use these analytics for your business.

  1. Analyze customers’ behavior and identify potential customers
    The analytics on your mobile device enables a business to understand usage data and also determines your customer’s loyalty. Once you analyze customer’s behavior on their mobile devices, you will be able to clearly understand the user’s journey, their reasons for using your product and how your company’s products influenced their choices. This can give you an accurate idea about your customer’s insights and how you can grow your sales.
  2. Understand how customers interact with your product or service
    To manage the potential pitfalls of the new customer experience landscape, we must adopt new ways of studying customer interactions that are immersive and situational. Consumers should be analyzed on-premise and in-device. This is because they are predominantly interacting with the product or service via a mobile device. Therefore, the results of each customer interaction should be available through that device. New measurement methods can make this possible. This ability will allow us to measure engagement and loyalty at the edge of the network.
  3. Improve customer satisfaction, loyalty, content engagement, and revenue
    Every quarter, we see higher customer acquisition costs. Every time a customer churns, a company needs to spend money and incur a loss. Every time a customer makes a purchase, the company gets money and is improving its bottom line. Every time a customer enjoys a great experience on the brand’s website, social media channel, or application, the brand is expanding its fan base and growing its brand. For most of our clients and their customers, there is a bit of uncertainty when it comes to understanding the journeys that their customers take.

On-premise and on-device analytics can help companies better understand their customers better, personalize content, create content strategies and develop products. We are now able to tap into the power of edge computing and analyze user behaviors on the edge of the network while the data is being generated and consumed at the same time. Ultimately, businesses can use these analytics to boost business performance and improve their bottom line.

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