Business intelligence first emerged as a technology specialization in the mid-90s and, since then, it has evolved nonstop. But not since its early days has BI undergone such a dramatic period of innovation. Now, a series of technology advancements are converging to change how we think about BI, the ways we use data and analytics, and the role that BI plays in the enterprise. While each is important in its own right, each trend also acts as an enabler and driver, forming a virtual cycle of innovation that’s already transforming BI as we know it.
Here are the four trends reshaping BI:
Big data involves using scale-out parallel data processing and distributed file frameworks to transform and analyze large volumes of structured or unstructured data. Big data is where cloud computing was five years ago – still immature and largely all hype. Case-in-point: While presenting at TDWI’s Cool BI Forum in Chicago earlier this year, I surveyed the 50 people in my session if anyone was doing anything with big data and yielded only one response. Although still immature, big data is arguably a BI game changer. For the past several decades, IT organizations have effectively used data warehousing technologies to create and analyze enterprise views of data, but the time and cost to integrate and manage data has forced organizations to be selective. Consequently, the average data warehouse manages only a fraction of the data required and typically lags business needs. Organizations see big data technologies as a solution to store, transform and analyze data that otherwise would be cost prohibitive to manage in a data warehouse. We now see a growing arsenal of interesting applications of big data in action, such as Rice University’s Storm Risk Calculator, which uses historical and meteorological data to predict the likelihood of a hurricane striking your home (if you live in Houston, that is). The applications for big data are limitless.
Mobility. The fundamental shift away from stationary desktop computing to mobile computing is readily seen. In our personal lives, we use smart phones to access information wherever we go. Business users now expect similar ubiquitous network access. Smart phones can provide immediate access to information, but tablets create an even bigger force for change in BI because tablet screen dimensions are so perfectly suited for data visualization and interaction. Gartner asserts mobility to be the most disruptive functionality for BI in 2012, and organizations are designing dashboards with mobile BI in mind, with help from mobile analytics solutions providers.
As these technologies combine and interact with BI, they generate new levels of business utility in many ways. Cloud computing provides the capacity for on-demand compute and storage resources to enable big data, together delivering an unprecedented capability to transform and analyze large volumes of structured and unstructured data. NoSQL provides a platform for real-time access so that Web apps and other applications can use resulting analytic models to enhance customer experience and user productivity. Mobility drives interaction to new scales, reinforcing the demand for real-time business intelligence. Enterprise BI user adoption surveys that fail to take the changing face of BI into account may understate adoption. Cloud computing, mobility and services delivery enables applications to embed and use BI services behind the scenes, so users may not be aware of the extent of BI use. If it hasn’t already happened, over time applications may grow to become the largest enterprise “segment” of BI implementations.
For enterprise architects, the changing face of BI through cloud, big data, NoSQL and mobility innovation may arguably create new coordination challenges. New technologies tend to confuse old boundaries. Nevertheless, these developments present opportunities for BI and information management architects to reimagine BI strategy and increase the visibility and value of BI in the enterprise. While BI continues to be top of mind in executive surveys – and therefore is one of the top areas for IT investments – these revitalizing trends virtually guarantee even greater BI engagement in years to come.
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Source: Information Management