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BI Trends

3 Must-Have Analytic Features for 2018

By Michelle Gardner | January 11, 2018

Have you ever wondered why as many as 85 percent of analytics projects fail (according to industry analysts)? The answer is not easy—it’s a convergence of both technology-related and business process problems. However, the technology side does have considerable influence over business-related issues like user adoption.

>> Related: How To Fail at Analytics User Adoption <<

We’ve previously talked about whether to build or buy embedded analytics tools. Organizations who build their own solutions can encourage adoption because they have total control over the look and feel of their analytics—thus solving both a technology and a business problem.

But this route costs considerable resources, so many organizations are now deciding to invest in data and analytics development platforms. If you go this route, it’s important to realize that not all solutions are created equal, and they won’t all offer the rich functionality and customization you may be seeking.

Not sure what to look for as you begin your vendor search?

Here are the top 3 must-have features for analytics platforms in 2018 (and beyond):

1. Customizable Interface and UX

One of the traditional drawbacks of buying data and analytic applications instead of building your own is the lack of customization. Developers are stuck with a static user experience (UX) that belies the fact that users are working with third-party software (separate from their regular business applications).

The advantage of a sophisticated data and analytics platform, on the other hand, is that developers get the best of both worlds. For example, Logi’s platform enables developers to leverage pre-built elements with custom styling and the ability to tailor the UX specifically for their users.

This way, teams don’t have to start from scratch, and they can still seamlessly embed analytics into their regular business applications.

2. Integration With Many Data Sources

Even the most sophisticated analytics tools are only as powerful as the data that fuels them. Data connection and integration can be one of the biggest pain points (or differentiators) when looking at data and analytics platforms. For instance, some platforms may require you to build additional data layers to bridge the gap between their technology and yours.

Save yourself the headache and look for a platform that will easily integrate with a range of different data sources. Even better, find a vendor who is willing to work with you to ensure seamless integration with your proprietary data sources.

3. Write-Back Functionality

Another element of data quality is the ease of maintaining it. Platforms that offer only the ability to read (rather than write) from a database typically lead to messy data.

For truly seamless analytics, look for a solution that also allows users to write back to the database. This reduces problems like duplicate entries or out-of-date information. It may also enable your analytics to become more sophisticated, because other tools can leverage analytic outputs.

Another key advantage of write-back functionality is time savings. Because users don’t have to go back to the database to update entries manually, people across your organization will spend far less time cleaning up data.

Are you interested in getting the most out of your data and analytics platform in 2018?

Ultimately, data and analytics platforms should be about flexibility and a seamless user experience. The best solutions save time without sacrificing your ability to build unique applications customized to your users’ needs.

Learn more in our ebook: Beyond Embedded Analytics: 3 Sophisticated Features to Set Your Application Apart.

About the Author

Michelle Gardner is the Content Marketing Manager 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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