Tag: Powered by Birst

Learn How Vertafore Embedded Birst Analytics into its Product (webinar)

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Birst is the only BI and analytics provider that delivers the platform, management ecosystem and go-to-market process to help companies embed analytics into their product – and in a new webinar, you’ll learn firsthand how we helped Vertafore, the leading provider of information solutions to the insurance industry, do just that.

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Build vs. Buy: What’s the Best Choice for Embedded Analytics? (webinar)

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Companies seeking to add analytical insights to their products inevitably must face the same question: should we buy analytics or try to build them ourselves?  Too often they make this decision solely based on cost factors—big mistake.  The answer is not as easy as simply comparing costs, because key elements may be omitted, strategic decisions might be overlooked and often the decision isn’t appropriately matched to the product goals.

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Embedded Analytics: To Build or to Buy? (webinar)

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To build or to buy. That is the question often faced by companies seeking to add analytical insights to their product: whether to buy analytics or to build it? The answer is not as easy as simply comparing costs, because key elements can be overlooked, strategic decisions may be omitted and hidden costs might be missed.

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Introducing the “Powered by Birst” Webinar Series

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Adding analytics to your product can be a difficult proposition. I know, because I’ve been there. As a product owner, I gained a lot of experience launching embedded data products, and frankly, made a number of mistakes along the way before finally getting it right. Fortunately, I took good notes and eventually came up with techniques to avoid the pitfalls common to most data product owners.

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A How-To Guide for Creating a Great Embedded Analytics Product

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Over the past several months, I’ve spent quite a bit of time talking to people about the steps you should follow to create a great analytics product. I’m not talking about all of the technical aspects of implementation — I’m referring to the “non-technical” part of the project. All of those little things that will make or break the success of an embedded data product. Things like:

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