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self-service data preparation

Safeguarding Against the Risks of Self-Service Data Preparation

Let me be the first to acknowledge that agility is important. BI products should be predicated on the idea that end users should have direct control over their own data. I believe that it’s better for business professionals to answer their own analytical questions than to inundate IT staff with reporting requests, creating that growth-stunting…

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Investing in Business Intelligence

4 Boxes to Check Before Investing in a New Business Intelligence Solution

If your company is similarly looking to upgrade its BI capabilities, you’ll need a few key functions in-house. Don’t settle on a platform until your company meets certain requirements.

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5 Red Flags to Avoid When Selecting an Embedded BI Solution

Finding the right business intelligence (BI) solution to embed in your software is often difficult. With so many options on the market, knowing which choice is best can overwhelm even the most experienced software professional. Depending on the customization options and specific tools you want, there are certain features you’ll be looking for. But a…

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5 Characteristics of a SaaS-Focused BI Application

There are hundreds of business intelligence (BI) solutions on the market, but not all of them are well suited to a software-as-a-service (SaaS) environment. Some are intended as standalone products, others designed for on-premises (“on-prem”) deployment, and still others built for use by individual consumers rather than whole businesses. As a SaaS provider, wading through these options…

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Which Analytics Do You Really Need?

Descriptive? Diagnostic? Predictive? Prescriptive? Here’s how to design your own analytics agenda. Originally published with Entrepreneur. A Boeing 787 aircraft generates half a terabyte of data on an average flight. That’s an enormous amount. Though it’s filled with meaningful insights, the sheer quantity can make it seem like an endless maze. The best way through…

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Endowment Dollars for Data: An Ad Hoc Reporting Case Study

Originally published with Dataversity. The vast majority of knowledge workers utilizing Business Intelligence via their hub SaaS application, regardless of vertical, will likely never build their own reports from scratch. According to Eckerson Group’s “A Reference Architecture for Self-Service Analytics” (2016), 90% of knowledge workers in an organization use BI casually with a majority 60%…

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How to Adopt a BI Tool for Every Tier of the End-user Pyramid

Originally published with Innovation Enterprise. In an age when everyone feels busy all the time, adopting a business intelligence (BI) tool can seem daunting. To be sure, each BI tool is different and higher levels of adoption require specialized training to master. The good news: There are multiple levels of end-user adoption, and only the…

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5 Advantages of Embedded Analytics

Benefits Companies Realize After Adoption No less an authority than Gartner Research describes analytics as “statistical and mathematical data analysis that clusters, segments, scores and predicts what scenarios are most likely to happen” in a business. Gartner goes further and defines embedded analytics as the “use of reporting and analytic capabilities in transactional business applications.” It…

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