The BI market place is flooded with a variety of solutions, making it difficult to pick the right solution that best meets specific business challenges. Data warehouse appliances, analytical databases, advanced analytics, predictive analytics, what-if models, advanced visualization and cloud computing only touch the surface of what organizations are doing in relation to their analytics framework. And, in addition to the types of applications, hardware, software and delivery choices, there are also a variety of outlooks on BI development and deployment. Building versus buying, customization as opposed to best of breed implementations, or open source instead of proprietary solutions are all preferences that remain unique to companies, BI practitioners and developers.

When looking broadly at the market, businesses can choose from more than 200 software vendors depending on the types of analytics they want to apply within their organizations. Key differentiators that used to exist between vendor capabilities are becoming harder and harder to decipher, with branding and market penetration becoming a key factor in many software evaluations. Now, in software selection, time to value and scalability are becoming more important success factors than simply providing common features and functions out of the box.

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