The survey on business growth strategies found mid-size companies continue to prioritize automation of business processes, data analytics, and business intelligence as triggers to increase productivity and areas where they are most likely to make investments in 2012.
Today, cloud is understood by consumers and business, and though data analytics is not new, the size and scale of data today and the tools to extract insight are transforming businesses and creating entirely new industries.
The computer maker has been hit by a consumer move to tablets and is diversifying into more profitable areas of technology, such as business software, data analytics and storage.
The computer maker has been hit by the rising popularity of tablet computers and is diversifying into more profitable areas of technology, such as business software, data analytics and storage.
Pentaho is an open source business intelligence and big data analytics company that was founded by five deeply nerdy people.
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Risk analytics can augment more traditional reporting, business intelligence and data warehousing capabilities with newer techniques in modeling, claims analytics and fraud analytics.
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The certificate program included courses like Business Analytics Foundations and Data Mining and Visualization.
In this survey, it nearly equaled data analytics and business intelligence in terms of likely investments.
Along with the announcement of its distribution, Intel also announced a broad array of partners that include business intelligence and analytics vendors, data visualization tools, and major infrastructure vendors that include Cisco, Cray, Dell, RedHat, and SAP.
As the number of different studies indicates, using data and analytics to drive business growth is difficult, but important.
Paul Kent is the Vice President of Big Data at SAS, a leading business intelligence and analytics firm.
When asked what type of investments companies were likely to make in technology, cloud computing, at 40%, had emerged close to automation of business processes (46%), and data analytics (41%), as an investment priority.
In this world of increasing immediacy and unpredictability, do financial institutions have to live with the problem of isolated data warehouses, or is there a new possibility they can integrate those massive data sets and apply technologies like business analytics to uncover patterns and make correlations that might reveal, say, at-risk mortgages, based on changes in individuals' credit card use?
It is obvious that full incorporation of external data sources is going to be a long-term effort, involving changes to data processing technology, analytics, business relationships, and ways of working.
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Data-driven talent and big data analytics give CMOs the insights they need to truly propel the business forward.
That's a remarkable difference--going from prioritizing among big problems to lining up newly available targets of opportunity and potential, but as the application of business analytics makes it possible to see patterns in data that we couldn't see before and answer questions we couldn't even ask before, why wouldn't we shift our thinking from solving old problems to unlocking new possibilities?
We also signed new operator partnerships and continued to build our data analytics business.
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As business grows faster-paced and more complex, data-mining and analytics become increasingly valuable.
Graduates will range from data scientists to business consultants, business modelers and application developers skilled in analytics.
For investors watch the big data marketplace because most of the innovation right now is business analytics and advertising optimization.
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It had to be innovative and user friendly, cost effective, robust on demand analytics, leverage master data and keep pace with the business.
Commercial demand is apt to rise sharply within the next few years as social media, sensors, and other new data generators make petabytes a routine part of business analytics.
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Analytics and data are making slow progress in some key areas of business.
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Lopez Research believes mobile, cloud computing, big data and analytics will change the quality of information and the pace at which business leaders can make decisions.
Such a model helps to prioritize what analytics, and consequently what data and people, are most important to the business.
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The challenge with Big Data is that it includes everything from hardware, through operating system, databases, analytics and business intelligence technologies, visualization software, post-graduate level mathematics and statistics, and innovative approaches to business and social problems.
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