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Intelligence accelerated: How cloud-based analytics is expediting business results

May 28, 2014

The world of business analytics is no stranger to marketing hype. Between social, mobile, cloud and big data (to name but a few of the usual suspects) it’s easy to see how a reasonable person could be skeptical about the ability of these solutions and approaches to deliver tangible business value. Setting aside the alphabet soup of acronyms and dictionary’s worth of terminology, the term that generally resonates best with the average decision maker is urgency.

More data, more people and less time.

The urgency of today’s business world comes in three flavors, or, as I like to grossly oversimplify it: more, more and less.

  • More. Regardless of company size, industry or job role, the typical decision maker is dealing with more data. The biggest problem could be sheer volume, it could be disparity of data type or it could be complexity of the environment, but at the end of the data there is simply more of it.
  • More. Because of the applicability of analytics to a variety of different job roles and decision-making minds, there are now more people with the ability to leverage analytics and therefore more people who want or need these tools.
  • Less. The typical line-of-business decision maker is seeing an increased urgency on how quickly they need to make decisions. Whether that urgency is driving a weekly decision to a bi-weekly decision, or a day-to-day decision to a real-time decision, people simply have less time to make decisions. 

These stages of urgency are what drive companies to think differently about how they deliver analytical capability and become more data-driven as organizations. A big part of the reason companies are exploring cloud-based environments for analytics is its purported ability to address these aspects of urgency.

Aberdeen’s research continuously explores the usage of analytics delivered via a cloud-based approach and has uncovered several interesting findings. A small slice of the research shows that companies using cloud-based analytics are able to deploy solutions faster, while creating a self-service analytical environment with more engaged users.

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Five easy steps for turning data to insight in an hour in the cloud

In an upcoming live webinar on June 3, “Five easy steps for turning data to insight in an hour in the cloud,” I’ll share key findings that explore how companies are combating the increased urgency around more data, more people and less time. We will take a closer look at the emerging strategies and analytical approaches companies are taking in response to this urgency.

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In addition to investigating the usage of cloud-based analytics, we will also discuss some of the powerful new technologies, such as in-memory analytics, that are purpose-built to address the growing volumes of data and the shrinking decision window that most companies face. 

Most importantly, we will examine the performance implications of these emerging strategies and technologies for business analytics. The research shows that companies with a judicious delivery of technology, combined with a best-in-class approach to cloud-based analytics are enjoying substantial and repeatable business results in critical areas like revenue growth and cost reduction.

For a deeper dive into the research findings and a broader discussion of the performance implications of a cloud-based strategy, join us for the live webinar on June 3.  For related research and additional information, please visit the following links: