Category: Agile BI

The BI Conundrum: Delivering Trust and Transparency at Speed

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Historically, the pendulum of the business intelligence (BI) market has moved between centralized governance of data and self-service and agility. Today, the industry is swaying back and forth, as CIOs struggle to find the right balance of control, transparency, and truth.

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Winter is Coming for Legacy Business Intelligence Vendors

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HBO’s “Game of Thrones” is wildly popular for a lot of reasons: epic battles, dramatic vistas and, shall we say, intense relationships. But beyond riveting entertainment, the series offers a powerful allegory that is directly applicable to the Business Intelligence (BI) software industry: “winter is coming.”

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The Virtualization of Business Intelligence

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One of the biggest challenges facing IT leaders of global organizations is how to extend the use of business intelligence across the enterprise to a user community that demands self-service. Technology research firm Gartner writes that, without appropriate governance, self-service capabilities can “increase errors in reporting and leave companies exposed to inconsistent information1.” CIOs and heads of BI and analytics departments are under increased pressure to satisfy the business need for greater agility without compromising consistency and trust in the data.

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The Battle of Business Intelligence: Data Discovery vs. Traditional BI

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We’re at a tipping point where using data to inform all types of business decisions is becoming the norm. With more and more data available to users and the increasingly competitive business landscape, it’s not surprising that the needs of business users are becoming more complex.

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Driving Value and Results: Part 1

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There is no doubt that across all industries – be it healthcare, retail, manufacturing, or finance – there are a few themes pushing today’s companies to take a closer look at business intelligence solutions: the rise in popularity of analytics (especially given the increasingly mainstream discussion and use of big data); the rise of data discovery and end-user empowerment; and lastly, the increase in the market’s use of cloud-based BI solutions.

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