Category: Data Visualization

Will AI Increase the Reach of BI and Analytics?

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]. These adoption rates include all the users of the BI system – administrators who manage the system, analysts who build reports, and business users who consume reports for better decision making. This underutilization ignores employees outside the BI system who could be using valuable data to make better decisions. No one can argue that business performance and innovation are negatively impacted when data assets are not fully leveraged for decision making.

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Improve your company’s bottom line with analytics

The explosion of data in the financial services industry is creating new opportunities for business intelligence and analytics. At the same time, this explosion presents significant challenges. Over 2.7 zettabytes of data exist in the digital universe today. Every day, financial services companies seek to use these massive volumes of data to increase margins, reduce risk, boost customer satisfaction, and win in a globally competitive marketplace.

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The Magic of Data Visualization

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Data Visualization is a hot topic in the data world these days. Seeing your organization’s data mapped out in a colorful graph is more stimulating and easier to immediately understand—if created accurately and if it uses the right data. If you can have your data visualizations embedded in your dashboards, you get extra credit. Dashboards help all types of business users create an adaptive user experience, visualize complex data sets, and provide management with a timely snapshot of their organization to help them make smarter, data-driven decisions to manage business growth and performance.

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3 Business Intelligence Myths Debunked

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Business intelligence is at a tipping point. More and more people are discovering that everyone in an organization can use big data analytics to meet and exceed business goals. But while the mindset is shifting, there are still some long-held assumptions that have plagued the industry, fortifying the biggest myth of all—that big data analytics is only valuable to a few business people. Historically, business intelligence has been viewed as an on-premise platform that was operated by a team of data scientists who extracted insights reserved only for C-level executives. As its usage becomes more widespread, it’s important to dispel these myths.

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Doubling Down

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I believe we are at the beginning of a new era for business – one where data becomes as important an asset as money and people. I also believe harnessing the power of data is in its infancy. Not only has technology changed to allow the capture and processing of much larger volumes and varieties of data, but more importantly, the business climate has changed. Data is widely perceived, if misunderstood, by a much larger percentage of business leaders as a strategic asset.

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How to Succeed with Birst Embedded BI

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Last week, Birst announced its new Embedded BI program specifically designed for software companies looking to differentiate their products by turning data into a strategic service for their customers.  Paul Staelin, Birst’s Chief Customer Officer, shares his thoughts on this new program below. Here are a few interesting details we wanted to share:

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Data Discovery: Is this the worst thing to happen to Business Intelligence?

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There, I’ve said it. I think it’s a question that needs to be asked because the answer isn’t a clear one to most of us. Data discovery is a rapidly growing part of the business intelligence (BI) market. In fact, millions of dollars are being spent on these tools annually. But the question remains, is data discovery actually a good thing?
I continue to be perplexed by the rise in popularity of data discovery so perhaps I should take a moment to explain my thinking.

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