This presentation will demonstrate that it is possible to turn the promise of Big Data into business value by applying predictive analytics to Big Data sources such as Hadoop, Cloudera, and BigInsights.
Published By: Calpont
Published Date: Mar 13, 2012
This paper looks at advances in database analytics and how they change the playing field for marketing executives willing to seize opportunities made available by new advances in hardware and software.
As analytics and Big Data have been embraced, analysts are working to become better at communicating the insights from complex analysis. This makes the use of visual analytics increasingly important as a tool to tell compelling stories and to engage decision makers in dialogue. Importantly, the best visual analytics are not necessarily the coolest, most sophisticated, or most complex. Visual analytics are most effective when there is a clear purpose and when data can be visualized and communicated in a way that is easily understandable.
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time.
SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this e-book, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are managing their big data and how analytics projects are evolving with Hadoop. We also provide tips for big data management and share survey results to give a broader picture of Hadoop users. We hope this e-book gives you the information you need to understand the trends, benefits and best practices for Hadoop.
Published By: Riverbed
Published Date: Jan 28, 2014
Application performance management helps deliver the application performance users and the business demand. Effectively monitoring and troubleshooting application performance issues requires a comprehensive solution.
When used effectively, Hadoop can deliver unparalleled value in revealing new analytics-driven revenue streams, improving customer acquisition and retention, as well as increasing operational efficiencies. The Hadoop Buyer's Guide is an invaluable resource for those investigating or evaluating Hadoop---from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success. Download the guide, and get everything you need to know about choosing the right Hadoop distribution for your business success.
This independent whitepaper from the Kusnetzky Group Analyst describes the promise and challenges surrounding Big Data. It also validates the M7 solution from MapR, which simplifies big data management by consolidating disparate solutions into a single, enterprise-ready platform.
Forrester Research shares seven architectural qualities for evaluating Big Data production platforms.
In this webinar guest speaker Mike Gualtieri, Principal Analyst at Forrester, along with experts from MapR and Cisco, will present the following:
• The 7 architectural qualities for productionizing Hadoop successfully
• Architectural best practices for Big Data applications
• The benefits of planning for scale
• How Cisco IT is using best practices for their Big Data applications
• Mike Gualtieri, Principal Analyst at Forrester Research
• Jack Norris, Chief Marketing Officer at MapR Technologies
• Andrew Blaisdell, Product Marketing Manager at Cisco
• Sudharshan Seerapu, IT Engineer at Cisco
As the demand for Big Data analytics mushrooms, IT decision-makers must prepare for the widespread deployment of Hadoop. This Technical Insight Paper from the Evaluator Group outlines the key requirements that must be met to make Hadoop enterprise data center ready.
Published By: Riverbed
Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your
existing monitoring and management strategy.
Published By: Riverbed
Published Date: Sep 08, 2014
In today’s app-centric world, poor performance is bad business. It’s your job to protect the end-user experience—but that’s a tall order without a UNIFIED VIEW of performance that puts your network and application health in crystal-clear focus.
Just like your business, technology never stops advancing. Each year, there are new ways that technology can automate processes, lower costs, and enhance customer and employee satisfaction - all with the goal of increasing revenue! And while it can be difficult to change how your business works, leaving old methods behind and embracing new technology can help lead your business to more success and growth.
The technology landscape in the financial services sector is vast, ranging from cutting-edge to mission-critical, each having an impact on the industry as a whole. Customer-facing services and back-end operations alike are seeing real benefits from innovation, including greater efficiencies and higher levels of customer satisfaction.
The rate at which technology is evolving is increasing almost exponentially. In the business sector, hardware has given way to software-defined everything, while many on-premises technologies are now offered as a service. Much of the advances in technology over the last few years have been the direct result of the growing ubiquity of the cloud and faster connectivity speeds, both of which have enabled companies to adopt digital transformation technologies to help them work smarter and more efficiently.
This white paper will discuss how big data analytics, coupled with the right facilities and asset management software, can provide next-generation opportunities to improve facilities and asset management processes and reutnrs. It will examine how different organizations successfully use big data generated by their facilities and assets to help increase revenue, power operational efficiency, ensure service availability and mitigate risk. Most importantly, this white paper will reveal how your organization can leverage big data analytics to achieve similar benefits and transform the management of your organization's facilities and assets-and ultimately, your business.
8 to 10 page Analyst Whitepaper by Ptak / Noel addressing the need for IT to bring Analytics technology to IT to help them be more proactive, predictive providing faster mean time to repair. This paper will also explore how IBM is helping customers with it's new IT Analytics platform that offers Search, Predict and Optimize capabilities.
Businesses contain countless systems, sensors, meters, and other IT devices generating volumes of data daily.But, are your devices and systems simply sharing data or are they having a conversation that enables better business outcomes?
NEC has introduced the Express5800/A2000 Series Servers to accommodate enterprise application demands with peak server reliability, availability, and serviceability. The new server architecture and NEC engineering functionality align well with many of the most important IT priorities in 2014, including virtualization, big data and advanced data analytics. With the Express5800/A2000 Servers, NEC has the opportunity to educate application owners and work with system integrators to drive awareness and ultimately investment in its new server platform, which will help drive customer value. In this white paper, you will learn how these next-generation servers from NEC are ready to accommodate some of today’s demanding workloads.
We often hear about how the massive volumes of data the US government collects hold a treasure trove of answers to our most challenging questions – be it on population health,
national security, education or how to recoup losses from tax fraud. If only the government could figure out how to make use of all that information.
Texas is one example of a government that is using analytics to solve complex problems. As the case studies here demonstrate, agencies and academia in the Lone Star State are putting big data and analytics to work to eliminate waste, improve productivity and, in some cases, even enhance transparency.
Credit Union Times is the nation's leading independent source for breaking news and analysis for credit union leaders. For more than 20 years, Credit Union Times has set the standard for editorial excellence and ethical, straight-forward reporting.