Reinvention of Enterprise Analytics
Enabling more data sources and more data content constitute a transformation in IT culture. But that path forward isn't always obvious. BI applications have become a staple of enterprise strategy and competitive advantage, but they remain constrained by an outdated understanding of the benefits and capabilities of the last generation.
Big data infrastructure and the latest version of enterprise analytics are doing more than breaking data out of silos. They're also tearing down barriers of time and cost. While BI applications of the last generation were highly static and bespoke systems, today's systems are designed specifically to be much more flexible in the types of data they can handle and the types of infrastructure they can be built upon.
Breaking the Barriers of Time and Expense
There's no doubt that companies have benefited tremendously from business intelligence (BI) applications. Enterprise business intelligence (EBI) has enabled companies to spot emerging trends, identify new markets, serve customers more effectively and improve operational efficiencies.
Recently though, EBI solutions have had a hard time adapting to the information explosion that companies have experienced. Attempting to stuff massive volumes of data into the structure required by traditional BI systems is inefficient, expensive and time consuming.
What's more, systems have become more complex and difficult to use, limiting the types of insights that can be generated in a reasonable time frame. Big data solutions, which can efficiently handle large volumes of data, can also require people with a specific and hard-to-find skill set in order to get results. Typically, business process experts feel shut out from advances because new systems are too hard to use.
As a result, many companies have avoided implementing more advanced BI or next-generation big data solutions because there is a perception — real or imagined — that they take too much time and are too hard to use to justify the expense involved in implementation.
But avoiding the change means that companies are missing out on opportunities to gain new insights that can radically transform their business. The next generation of BI systems, commonly referred to as big data, offers a huge leap forward in capabilities and features. Big data and analytics can help companies ask sophisticated, forward-looking questions that make new connections between seemingly unrelated trends. Big data and analytics can power new types of applications that provide real-time feedback, putting insights directly into the hands of people who can use that information.
This paper examines advances in big data infrastructure and applications that can help companies overcome the challenges associated with bringing these new systems to life.