Published By: Uberall
Published Date: Jan 24, 2019
Despite the headlines, retail isn’t headed for an apocalypse. But it is changing. A lot. Mobile commerce isn’t a beast that is going to drive your customers out of business, but how can you reassure them of that? Here are a few statistics to help channel partners paint the picture for your clients, and help them keep up with the latest changes in retail shopping!
Published By: Verisign
Published Date: May 31, 2017
Verisign has a unique view into distributed denial of service (DDos) attack trends, including attack statistics, behavioral trends and future outlook. The below data contains observations and insights about attack frequency and size derived from mitigations enacted on behalf of customers of Verisign DDoS Protection Services from January through March 2017.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Published By: Ixaris OTA
Published Date: Jan 25, 2018
Travel agents, tour operators and travel wholesalers are typically spending thousands in unnecessary costs each year. And in a fiercely competitive market operating on high volumes and low margins, ensuring efficiency with sales and purchasing systems is no easy task. Especially when it comes to payments.
If you want to find out where you’re losing money, how efficient your platform really is and the simple way to eliminate these costs, read this white paper. It explores the top three areas where you could be overspending. And it reveals the statistics behind your unnecessary costs – giving you the information you need to save money and drive efficiency.
Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.
Productivity has become synonymous with revenue for many organizations. The theory is simple: The more your employees can get done, the more income they can generate. And yet data from the Bureau of Labor Statistics shows that the productivity level in the United States is actually fairly low, topping out at 3.1% in one quarter and going into negative digits in others over the past few years.1 This means labor productivity, measured in output per hour of labor, is low or—in many quarters—shrinking. Download this white paper from Dell and Intel® to learn more.
Intel Inside®. Powerful Productivity Outside.
Intel and the Intel logo are trademarks of Intel Corporation in the U.S. and/or other countries.
Stories and statistics behind successful analytics projects
The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries.
Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data.
The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
For decades, fear has dominated the discussion of cyber security. Every magazine article, presentation or blog about the topic seems to start the same way: trying to scare the living daylights out of you with horror stories, alarming statistics, and doomsday scenarios. The result is that most IT shops and security vendors think security is only about what you prevent. They think it’s about blocking, prohibiting, controlling, constraining, excluding, outlawing, and forbidding. Hence IT’s reputation as the “Department of No.”
Talent management has moved to the top of the CEO’s agenda. In a 2012 global survey of CEOs and CFOs by the Economist Intelligence Unit, 53 percent of these leaders said that insufficient talent within their organization could harm them financially over the next 12 months. The number expressing financial concerns rose to 67 percent at organizations with more than 1,500 employees. Moreover, a full 83 percent of HR and business executives believe that talent programs need to be improved, according to Deloitte’s 2012 report Talent Edge 2020. With statistics like these, it’s no wonder there’s more pressure than ever on HR leaders to make the right talent decisions for their organizations and to source the right talent management systems to maximize the value of their workforce.
Talent management has moved to the top of the CEO’s agenda. In a 2012 global survey of CEOs and CFOs by the Economist Intelligence Unit, 53 percent of these leaders said that insufficient talent within their organization could harm them financially over the next 12 months. The number expressing financial concerns rose to 67 percent at organizations with more than 1,500 employees. Moreover, a full 83 percent of HR and business executives believe that talent programs need to be improved, according to Deloitte’s 2012 report Talent Edge 2020. With statistics like these, it’s no wonder there’s more pressure than ever on HR leaders to make the right talent decisions for their organizations and to source the right talent management systems to maximize the value of their workforce.
Published By: TigerConnect
Published Date: Aug 15, 2018
U.S. hospitals waste more than $12 billion annually as a result of inefficient clinical communication. This recent study also found that healthcare communication errors resulted in nearly 2,000 deaths over a five-year period. Streamlined clinical communication can dramatically change these statistics. Download this ebook to learn more.
Published By: Sprinklr
Published Date: Nov 22, 2016
A quick fact sheet that details the reach and audience of major messaging apps to help companies know which platform would be best suited to their audience.
If anyone remained skeptical about the cloud’s utility— and staying power—as a delivery mechanism for everything from infrastructure as a service (IaaS) to platform as a service (PaaS), software as a service (SaaS), and more, a quick look at recent statistics would surely change their mind. Indeed, with the cloud software market reaching US$48.8 billion in 2014 and anticipated to grow to US$112.8 billion by 2019, it’s clear that cloud computing is not just the way of the future, it’s also the way of the present.
Published By: Netsuite
Published Date: Jul 24, 2017
Baseball has always collected in-game data.
However, until recently, fans didn’t have easy
access to the various statistics that coaches
used for key decisions important for the
development of the players and success on
the baseball field.
It’s not unlike how traditional business
intelligence is delivered. Data and reports are
set aside for a few experts who determine
what is important for you.
Today, baseball statistics are widely available
during broadcasts on TV, PCs and mobile
devices. Basic data displays like inning and
score are enhanced with metrics meaningful
to students of the game, such as pitch speed,
strikeout percentages and hit zones. It’s a good
example of vital information being delivered in
real-time, on demand and in context.
This conclusions paper introduces key machine learning concepts and describes new SAS solutions – SAS In-Memory Statistics for Hadoop and SAS Visual Statistics – that enable machine learning at scale.
The next generation of employees will have a huge impact on your workplace. Generation Y is more connected than ever. Gen Y expert Ryan Healy answers many of the questions HR professionals have about this distinctive group.