Four Trends Revitalizing Business Intelligence
By Mark Dexter
28th November 2012

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:

Cloud computing has become hugely influential on BI. In fact, BI and analytics are the fastest-growing area of cloud computing, according to Saugatuck Technology, which predicts an 84 percent compound annual growth rate for BI in the cloud over the next two years. Cloud-friendly organizations maintain an edge in their ability to quickly deploy and upgrade services, drive user self-service and more closely align investment with ROI. While many companies have yet to deploy BI in the cloud in a substantive way, it’s clear that cloud has migrated beyond just hype. IT shops previously reluctant to deploy public clouds due to security concerns are now beginning to implement partner or private clouds. Even those with hypersensitive data, such as health care organizations, are integrating cloud architectures and solutions. A recent report fromMarketsandMarkets forecasts that cloud adoption among clinical and non-clinical health care organizations will reach $5.4 billion by 2017. Our firm is witnessing this upswing too; health insurer clients are seeing their HIPAA-secure cloud hybrids prove their worth with faster service, dynamic performance and lower cost. The cloud truly has arrived, and if you haven’t opened the door to let it in, your organization may soon be more than a dollar short and a day late.

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.

NoSQL is cleverly defined for what it is not limited to. For decades, SQL reigned as the most adopted structured programming language for databases. Yet as demand has grown for unstructured data analysis, and as organizations lean toward the cloud IT architectures, NoSQL systems have become the Internet-era database of choice, used by companies such as Amazon, Google and Facebook.  What it is:  a class of highly scalable, distributed database technologies that move beyond relational database properties and SQL query language prevalent in data warehousing; for this reason, it might be viewed as heretical by some longtime BI/DW practitioners. While big data technologies are oriented to large-scale batch processing, NoSQL has evolved in to support large-scale, real time data access, making NoSQL a solution for backing applications, putting BI results into action.

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.

Read article at source - information-management


Currently there are no comments. Be the first to post one!

Post Comment


How to pass a technical test

I recently asked the question “ are technical tests useful or just lazy? ” because any businesses that are hiring software and tech specialists are seeing a mass influx of candidates and are using these tests to cut down through some of... Read More

How NOT to have a successful phone interview

For many businesses a telephone interview is an essential phase of the recruitment process. It can allow them to gauge the interest and skills of a candidate without each person having to take time out for a face-to-face interview , which... Read More

How big data is changing the way we live

There’s no question that big data is everywhere, it has been reported that two and a half quintillion bytes of data are created every day, and this amount is surely only going to rise in the future. Anything we, or... Read More

Why do the top sales people use CRM Systems?

For many sales businesses their CRM system can be the life and blood of the data they hold, but for many sales people using the CRM system can seem like just another tool the business makes them use and is... Read More

Where should we send our newsletter?