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3 Emerging Business Intelligence Capabilities That Are Transforming BI

By Michelle Gardner | May 25, 2017
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Over the past decade, data has become the most valued commodity for many organizations. Data informs both micro and macro decision-making, ultimately setting the course for a company’s entire strategy. Not surprisingly, data’s ever-increasing importance spawned a need for better analytics tools rich with new business intelligence capabilities.

For users, perhaps the most important aspect of modern reporting tools is that they are available inside the applications they use to perform their day-to-day job responsibilities. In fact, according to a recent report, 84 percent of business users say having access to embedded analytics is important.  Unfortunately, nearly 67 percent of business users still have to toggle between dated standalone analytics tools and other applications to get the information they need.

Fortunately, modern business intelligence platforms are giving application teams new ways to engage their users with the latest dashboards, reports, and embedded analytics. And companies are seeing the difference: In a recent survey, 98 percent of respondents said embedded analytics contributed to revenue growth.

>> Dive Deeper: Sophisticated Analytics Features to Set Your Application Apart <<

Interested in future-proofing your analytics offerings? Don’t bother embedding analytics without considering at least one of these three new business intelligence capabilities currently shaping the BI and analytics space:

1. Embedded Self-Service Analytics

Even users working with the same analytics day in and day out will eventually want to connect a new data source or create a new visualization that hasn’t been created before.

For example, consider a member of a sales team who discovers a new purchasing pattern and wants to create a new dashboard to track the information. In the past, this was problematic, as developers and product teams essentially had two undesirable options: Either make changes to the application’s core functionality every time a unique request like this comes in, or refuse requests and force users to deal with the application in its original form.

Today, self-service analytics enhancements are providing application teams with new embedded business intelligence capabilities that let customers help themselves to dashboards and reports without sending more ad hoc requests to IT. Application teams are able to fit more use cases than ever while significantly reducing the number of ad hoc analytics requests they receive.

2. White Labeling

Embedding analytics features, such as an embedded BI dashboard, in an application is only part of the battle to ensuring user adoption. If those dashboards and reports fail to offer a consistent design and experience to the rest of the application, users will quickly feel let down by a disjointed user experience.

With new business intelligence capabilities, organizations can completely white label inline applications that are themed and built to be indistinguishable from the rest of the product. This helps them stay on brand, provide a seamless user experience, and engage users with a completely custom application experience.

Want to learn more about gaining user traction for your embedded BI dashboards and other embedded analytics tools? Read our article about five common embedded BI mistakes to avoid.

3. Adaptive Security

In today’s threat landscape, it is essentially impossible to talk about data without discussing data security as well. Whether the goal is to limit access inside an organization or protect data from outside threats, information and application security are top of mind for many organizations—especially in verticals like healthcare and finance.

For application teams adding or enhancing the embedded analytics in their application, one of the issues with security is that it often means replicating their existing security efforts, consuming an extraordinary amount of time and resources. Many older BI tools force developers to recreate the same authentication and authorization models they have built in other systems inside a new analytic application. That’s why adaptive security is one of the business intelligence capabilities transforming the analytics market. With adaptive security, product teams can integrate existing security measures into new applications, drastically reducing the burden on developers and security personnel.

Where are embedded analytics and business intelligence headed? Get the 2017 State of Embedded Analytics Report.

 

About the Author

Michelle Gardner is the Director of Corporate Marketing & Communications at Logi Analytics. She has over a decade of experience writing and editing content, with a specialty in software and technology.

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