Category: Embedded Analytics

Will your data product sparkle more if you build it or buy it?

“Should we build or buy?” is perhaps the diamond of enterprise IT: a question with at least 57 facets, each unique to a particular organization. In the past, your company may have made build-or-buy decisions when weighing options for enterprise software suites or departmental applications. Today, as more and more organizations look to data monetization to tap new revenue streamsIDC predicts that by 2020, in over half of Global 2000 firms, revenue growth from information-based products and services will be twice the growth rate of the balance of the product/service portfolio – the question emerges anew: should you build or buy your data product?

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Advanced Analytics Ensure Carrier Success

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The insurance business has always been driven by data; without the accurate assessment of risk, the industry wouldn`t even exist. Yet despite the importance of information, many insurers have limited ability to organize and analyze their own data.

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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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