Analytics are an important component of any business. Regardless of your department, it’s important to be able to collect, measure, and analyze data to better understand how your company is performing against pre-determined benchmarks as well as the competition at large. As such, business intelligence is generally made or broken down based on how clearly you can look at your various analytics dashboards and draw important conclusions from the dashboards about your sales, productivity, and other trends.
All that being said, it’s easy to get overwhelmed by the wealth of data your company faces on a quarterly basis. Especially when those dashboards are in separate places or managed by different departments, it can be difficult to bridge the gap between data analysis and business application. Even if you have access to each dashboard, business processes that are spread between separate analytics platforms or analytics tools can be cumbersome. A more efficient way is to use an embedded analytics platform for handling high-level business intelligence while leveraging your existing, albeit disparate, analytic capabilities. If you’re scratching your head wondering “What is ?”, read on to learn more about how an embedded analytics solution can make enterprise reporting much easier for your business.
As an analytics solution, embedded analytics allows you to manage your data visualization workflow in a much more consolidated manner. For example, most analytics software has its own interface when it comes to providing advanced analytics. Within separate applications, each software application has its own dashboard for reporting. This can make the user experience redundant and complex since you have to look at different dashboards in order to get different insights. Especially if you have a different kind of data set in each piece of analytics software, it can be hard to find actionable insights from multiple data sources or analytics applications.
Obviously, the customer experience in this sort of situation is less-than-ideal. After all, it’s challenging to provide valuable insights about your data if you can’t quickly and easily report on different aspects of your data. Especially in the case of a large enterprise with complex financial systems and a broad range of business users, it can be even more difficult to analyze your key performance indicators. Embedded analytics offers powerful BI tools (also known as business intelligence tools) to combine your reports and provide you with a more streamlined way to measure and investigate various data insights.
Put simply, by improving the user experience, embedded analytics makes reporting based on data and business intelligence much more powerful than trying to cobble together different analytics products’ dashboards. This is primarily due to the fact that analytics projects become far more straightforward when their analytics functionality comes powered with tools that go beyond traditional business intelligence. It’s also worth remembering that an embedded analytics platform offers users more self-service tools to discover new insights in an intuitive way.
With staff members empowered to use drag and drop UI tools to simply and effectively rearrange and visualize their data sets, it’s easier than ever for the business users who need to use your analytics modules to find a way to adapt the tools they’re using with their own methodologies in customer relationship management or business process applications. Having a more intuitive way to engage with large data sets ultimately makes it easier for your teams to form actionable conclusions from a more empowering user workflow. In some situations, having more relevant information from your embedded analytics solution can even help you leverage all available data to find new revenue streams and improve customer satisfaction, too.