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admin 01.10.2014

Using analytics to better understand customer satisfaction, profitability, retention and churn while increasing cross-sell and up-sell are the most dominant uses of cloud-based analytics today. Customer Analytics (72%), followed by supply chain, business optimization, marketing optimization (57%), risk and fraud (52%), and marketing (58%) are the areas in which respondents reported the strongest interest. Adoption was increasingly widespread and growing, with over 90% of respondents reporting that they expected to deploy one or more type of predictive analytics in the cloud solution.
63% of respondents report that when predictive analytics are tightly integrated into operations using Decision Management, enterprises have the intelligence they need to transform their businesses. Data security and privacy (61%) followed by regulatory compliance (50%) are the two most significant concerns respondent companies have regarding predictive analytics adoption in their companies. While there was no widespread impact on results from Big Data, predictive analytics cloud deployments that have a Big Data component are more likely to contribute to a transformative impact on their organizations’ performance.  Similarly those with more experience deploying predictive analytics in the cloud were more likely to use Big Data.
In those predictive analytics cloud deployments already operating or having an impact, social media data from the cloud, voice or other audio data, and image or video data were all much more broadly used as the following graphic illustrates. One of the most common questions I get from students is where they can find free cloud computing and enterprise software research.


Many of the cloud computing and enterprise software companies pay to have white papers written and research done. BMC Software – Many free reports from Gartner, Forrester, The 451 Group and other research firms covering advanced performance analytics (APA), cloud computing, IT Service Management and long-term technology trends. Progress Software – Extensive collection of research from Bloor, Forrester, Gartner, IDC, Tabb Group, Ovum and other research firms are available for download from this site. Over the last several months research firms and enterprise software vendors have released studies on cloud computing adoption in small & medium businesses (SMBs).
Forrester forecasts that channel partners will increase their reliance on cloud software and services from 22% to 27% from 2013 to 2014.  The majority of this growth will be in SMBs. SaaS-based applications are 22% of all manufacturing and distribution software installed today, and will grow to 45% within ten years according to MintJutras. Capturing and applying company-wide intelligence and knowledge through the use of analytics, business intelligence (BI), and rules engines.  For the many manufacturers who rely on build-to-order, configure-to-order and engineer-to-order strategies as a core part of their business models, using cloud-based platforms to capture knowledge and manage rules is accelerating. Bottom Line:  Using cloud-based systems to streamline key areas of their business, manufacturers are freeing up more time to invest in new products and selling more.


One of the most advanced companies in this area is Wanted Analytics, who aggregates job postings from over 500 job boards and maintains a database of over 600 million unique job listings.  They specialize in business intelligence for the talent marketplace, providing insights into how one company’s salary range compares to competitors for the same position, also calculating the difficulty to hire a given type of candidate. I recently had a chance to test-drive their analytics applications.  Using the parameters to analyze all cloud computing jobs that pay $100,000 a year or more for the analysis, I ran several queries. A total of 5,299 positions are open today for Computer Software Engineers, Applications and Architects as is shown in the following graphic.  What is surprising is the rapid increase in Marketing Managers (1,076 positions),  Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products (576 positions) and Sales Engineers (452 positions). Lagging industries include health care delivery (-9%), insurance -11%) and (surprisingly) telecommunications (-33%).  The following graphic illustrates the relative impact of cloud-based predictive analytics applications by industry. Private and managed clouds continue to grow as preferred platforms for cloud-based analytics, as respondents seek greater security and stability of their applications.  The continued adoption of private and managed clouds are a direct result of respondents’ concerns regarding data security, stability, reliability and redundancy. A key part of this area is mobility support for analytics, BI and rules engine reporting and analysis.



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