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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Data Privacy to ensure government and industry regulations are in compliance as business users adopt self-serve BI tools. Predictive Modeling to support business needs, forecast, and test theories.

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Will AI Increase the Reach of BI and Analytics?

Birst BI

The business intelligence (BI) assembly line is broken, with adoption or utilization rates of only 30 percent in a typical organization, according to Gartner [1]. For example, it is not uncommon for a business user to ask more questions outside the scope of a delivered report. The root of the BI problem hasn’t changed.

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Smarten Announces Sentiment Analysis Capability Designed for Business Users!

Smarten

The process is simple, and is designed for business users, and does not need any scripting or coding, and provides significant value to the organization. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

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Embedded BI Can Encourage Data Literacy!

Smarten

So, if your team is already used to enterprise, best-of-breed or legacy systems, why not add integrated analytics via embedded business intelligence? These software solutions are familiar and often times are a crucial part of workflow, helping the user to capture and monitor data and to check approvals, orders, project status etc.

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Improve User Adoption of BI Tools with Embedded BI!

Smarten

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

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What Is Embedded Analytics?

Jet Global

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. These reports are critical to making decisions. intranets or extranets).