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Tip Guide: Skills shortage, training present pitfalls for 'big data' analytics by Sybase, an SAP company
February 29, 2012 - (Free Research)
Big data analytics may be all the hype, but the technology involved is still rather raw and non-user-friendly. Experts are also in scarce supply. Read this expert tip guide to learn about current training challenges involved in emerging analytics strategies and also gain insight into how one company is handling such obligations.
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Tip Guide: Best practices for ‘big data’ analytics rely on familiar disciplines by Sybase, an SAP company
February 29, 2012 - (Free Research)
Big data analytics continues to evolve, but proven data management practices remain the same and always will hold true. Check out this SearchBusinessAnalytics.com expert tip guide to learn best practices for big data analytics strategies and initiatives.
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Tip Guide: In an age of predictive analytics, data scientists help bridge the gap by Sybase, an SAP company
February 28, 2012 - (Free Research)
In the current business intelligence (BI) and analytics market new roles are being established to help organizations manage rapidly growing volumes of data. In this tip guide readers will learn how data scientists are using predictive analytics to shed light on the future.
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Tip Guide: Predictive analytics project challenge: Keeping the faith in findings by Sybase, an SAP company
December 14, 2011 - (Free Research)
According to analysts, the greatest impediment to a successful predictive analytics project is creating a culture that values data-driven decision making and encourages people to have faith in the findings. In this e-guide, readers will learn more about overcoming these challenges and getting people to keep the faith in predictive analytics.
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Tip Guide: Predictive analytics and ‘big data’: The good, the bad and the ugly by Sybase, an SAP company
March 01, 2012 - (Free Research)
Read this expert tip guide and learn from Ventana's David Menninger why such a glaring chasm exists between the priority and actual usage of predictive analytics. Menninger offers up advice on managing a predictive analytics program and explains how to overcome the hurdles and pitfalls that may stand in your path.
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Tip Guide: ‘Big data’ finds ally in predictive analytics, but combo requires care by Sybase, an SAP company
March 01, 2012 - (Free Research)
This brief expert tip guide from SearchBusinessAnalytics.com offers up some best practices for properly delving into predictive analytics. You also will gain insight into the collaborative process you should adhere to when implementing new predictive analytics software.
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Tip Guide: Study finds manufacturing analytics falling short by SAP America, Inc.
December 08, 2011 - (Free Research)
Nearly two-thirds of manufacturers use time-consuming, unreliable spreadsheets for their business analytics, and many say the information is stale or unreliable, leading to time consuming, costly mistakes for companies. In this tip guide, readers will learn more about the shortcomings of manufacturing analytics.
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Tip Guide: Tips for supply chain analytics and manufacturing BI by SAP America, Inc.
October 10, 2011 - (Free Research)
Early this year, Ventana Research Inc. released a study that found supply chain analytics appears to be a poorly understood technology in dire need of some best practices. In this tip guide, readers will learn expert advice for putting supply chain analytics to use in manufacturing business intelligence (BI).
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E-Guide: Creating an Effective Social Analytics Program by IBM
December 21, 2012 - (Free Research)
Read this e-guide to discover the tricks of effective social media analytics, including:knowing, up front, what you hope to achieve with the data; bringing in an analytics software vendor or service provider if you don't plan on analyzing large quantities of data; and using social analytics as a crisis aversion tool.
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Tip Guide: Data scientists dig open source tools, transaction data by Sybase, an SAP company
February 29, 2012 - (Free Research)
In this brief yet exceptional expert tip guide from SearchBusinessAnalytics.com, you will learn about data scientists and their important role of analyzing big data. Read this now as Michael Driscoll, the chief technology officer and co-founder of analytics firm Metamarkets, discusses how data and its analyzing tools have recently changed.
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Tip Guide: 'Big data' poses big challenges for traditional analytics approaches by Sybase, an SAP company
February 29, 2012 - (Free Research)
This expert tip guide from SearchBusinessAnalytics.com is an excellent starting point toward learning about big data analytics and its benefits. It touches on topics such as ill-equipped traditional business intelligence (BI) and data warehousing systems, data processing, Hadoop and more.
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SearchBusinessAnalytics E-Guide: Deriving Value from Big Data by Sybase, an SAP company
February 29, 2012 - (Free Research)
Big data is one of most-hyped trends in today's business intelligence (BI), analytics and data markets. Yet challenges still exist, such as gaining visibility into sets of big data. Read this SearchBusinessAnalytics.com expert e-guide and learn best practices for big data analytics projects as well as disciplines to implement in your strategy.
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SearchBusinessAnalytics E-Guide: Emerging techniques for Big Data Analytics by Sybase, an SAP company
February 28, 2012 - (Free Research)
In this expert e-guide, you will learn the challenges that are presented with big data analytics techniques as well as emerging techniques involving data scientists and experts, who are well-versed in statistical and mathematical principles to build advanced analytical models.
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Tip Guide: Content analysis tools earn chops in research on social media data by Sybase, an SAP company
December 14, 2011 - (Free Research)
The content analytics market is growing tremendously year by year. A new report by consulting firm Alta Plana Corporation said it expects the market to increase at an average annual rate of 25% for the next several years. In this expert e-guide, readers will learn the effect of content analytics on social media data.
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