Tag: Customer Success

What AI Means to a Retailer Dedicated to Customer Experience

Retailers are focused more than ever on quickly adjusting to changing customer preferences and demand. Specialty’s Café and Bakery is a great example of a retailer that is using data to drive decisions related to product development and selection, inventories, staffing, and more to attract and keep customers.

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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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Birst Helps Elekta Turn Big Data into Meaningful Insights (VIDEO)

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The pressure is on oncology departments to reduce costs and re-admissions—while at the same time improving the quality of care. How can they do it? Before making big decisions, they need to understand their big data. The right knowledge management solution can help.

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Reimagining the User Experience for Business Intelligence

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Software applications have historically been built with a very specific purpose in mind. Word processors are designed for writing and editing documents, while spreadsheets are for working with numbers. Today’s more modern tools allow you to copy a portion of a spreadsheet and paste it into your written document, or even perform some basic calculations. However, the extent of crossover functionality is limited, and a clear delineation still exists between word processing and spreadsheets.

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Blurred Lines: Reimagining the User Experience for Business Intelligence

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Software applications have historically been built with a very specific purpose in mind. Word processors are designed for writing and editing documents, while spreadsheets are for working with numbers. Today’s more modern tools allow you to copy a portion of a spreadsheet and paste it into your written document, or even perform some basic calculations. However, the extent of crossover functionality is limited, and a clear delineation still exists between word processing and spreadsheets.

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Three Keys to Embed Analytics and Create a Money-making Product

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Customers looking to embed Birst into their own product offering often ask, “How can I make money with my data?” It’s a reasonable question for organizations who have invested time and money in a business intelligence platform and now want to know how to leverage their new capabilities to increase revenue. However, the monetization of analytics doesn’t just happen—it takes a strategic approach to create an analytical product that clients are willing to pay for.

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Getting Decisions Made – A Public Sector Perspective

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Business intelligence has been around for over thirty years, evolving from the Decision Support Systems of the 1960s. It undoubtedly can and has provided huge benefits for private and public sector organisations, but these kinds of projects have often been limited to large centralised teams that have had the technology skills, resources and the budgets to implement traditional BI. This has meant that smaller organisations or departments have either been left behind, or ignored, often leading to a great deal of frustration.

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