Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors.
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
In the age of the customer, businesses realize the need to take their big data insights further than they have before, in order to win, serve, and retain their customers. Today’s modern company has more data than ever before and is now looking to derive insights from the data that will help propel it forward. As firms move data analytics to the cloud, there is a new set of challenges and barriers to overcome, but with the help of insights-platforms-as-a-service, companies will be able to innovate with data and drive business forward.
Understand how infrastructure complexity slows down data delivery and why flash storage alone addresses less than half of slow downs.
HPE makes the data center of the future available today. There are thousands of customers that can benefit from InfoSight predictive analytics within the HPE Nimble Storage and HPE 3PAR platforms. Enterprises depend on data to improve customer interaction, accelerate product development and run the back office.
Published By: Freshdesk
Published Date: Aug 15, 2016
There are quite a few things that your customers just aren’t telling you. But since you aren’t a telepath and you don’t own a Cerebro, the only thing you can do is wait for them to come to you with it.
But not anymore. In this whitepaper, you'll learn the most important things that your support team should already know, but customers will never tell you, like:
- Why you should design intelligence into your self-service experience
- When you should resort to analytics and when "gut-feel" helps
- How you can proactively manage, and prevent customer frustrations
- What your core support bottlenecks are, and how to identify them
- How to set a "Priority" driven support work-flow
Published By: Broadsoft
Published Date: May 25, 2017
There is a lot of industry buzz about Key Performance Indicators (KPIs), but most contact centers currently focus on only one or two core KPIs, such as “Service Level,” and are only equipped to optimize these KPIs locally. Few contact centers have the tools to manage performance globally.
Published By: Commvault
Published Date: Jul 06, 2016
Think of a wildfire that quickly spreads as it increases in speed and power. That is what is happening today as data growth increases the volume and management complexity of storage, backup and recovery. Now think of trying to stop that fire with a garden hose. Your traditional backup and recovery process is equally under-equipped to manage and facilitate operations that need more speed, efficiency, scalability and reliability to handle today’s 24/7, always-on environment. Here we examine the benefits of moving from a solution comprised of multiple point products to a holistic data protection platform designed to serve today’s enterprise.
Mobility, social media, analytics and the cloud are revolutionizing how data is accessed, used, and secured for small to midsize businesses. With data security threats are on the rise, keep your business running with Hewlett Packard Enterprise.
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
Transform your business with services that allow you to innovate faster, simplify operations, and reduce risk. Building on an open, software-driven approach that uses virtualization, automation, analytics, and cloud, our networkwide architecture prepares you to respond to new opportunities at digital speed.
What You Will Learn:
This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques:
• Advanced analytics
• Collective global security threat intelligence
• Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems)
• Continuous analysis and retrospective security
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence.
This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
For many of us, the term “smart city” conjures up images of sensors
collecting data about everything from traffic patterns to energy use.
It’s common for government leaders to think, “That’s not for us.
We’re not there yet.” But if your organization is collecting data of any
kind, you are in a position to use that data to create a smarter city for
Download this whitepaper for 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
The Connected Customer is an individual who is intimately connected
to the data, outcomes, decisions, and staff associated with any
relationship to an organization. This intensely personal connection is
not just a matter of the most recent transaction, but represents a
combination of connected data, connected analytics, and collaborative
decisions associated with improving the customer’s relationship with
the organization over time.
In this report, Blue Hill explores the key traits associated with
supporting the Connected Customer through the Internet of Things,
and provides guidance on why the Internet of Things will be essential
across the general business landscape.
We have conditioned patients not only to expect opioids for pain relief, but to utilize more and more of them, and the addiction is both psychological and physical. To remedy the situation, a lot of policies and practices and behaviors must change around how the health care system approaches pain. But we do not yet have the data and
analytics we need to determine what specifically to do at the patient level or the policy level. Download this whitepaper to learn more about the resources available and how we can fix this issue.
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and
analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
A picture is worth a thousand words – especially when you are trying to find relationships and understand your data – which could include thousands or even millions of variables. To create meaningful visuals of your data, there are some basic tips and techniques you should consider. Data size and composition play an important role when selecting graphs to represent your data. This paper, filled with graphics and explanations, discusses some of the basic issues concerning data visualization and provides suggestions for addressing those issues. From there, it moves on to the topic of big data and discusses those challenges and potential solutions as well. It also includes a section on SAS® Visual Analytics, software that was created especially for quickly visualizing very large amounts of data. Autocharting and "what does it mean" balloons can help even novice users create and interact with graphics that can help them understand and derive the most value from their data.
This RSR custom research report explores the impact of omnichannel methods on merchandising, marketing and the supply chain; specifically, what analytical capabilities address the challenges that omnichannel selling and fulfillment pose for retailers. Consumers today routinely begin their shopping journeys online, but complete their purchases in nearby stores, in their “home” stores or delivered directly to their doors. Retail analytics enables organizations to capture data from their customers' journeys. Retailers that successfully deliver relevant omnichannel experiences while gaining a more sophisticated understanding of demand (where and how it is initiated) will enhance their brands’ value and create compelling and profitable customer relationships.
Competitive advantage from analytics is changing, and for the better. For the first time in four years, MIT Sloan Management Review found an increasing ability to strategically innovate with analytics based on interviews with more than 2,600 practitioners and scholars globally.
Learn more about key findings, including:
Wider use of analytics, better knowledge of its benefits and greater focus on applications have reversed a trend on the benefits of analytics.
Return on investment for analytics stems from the governing and sharing of data throughout the organization.
Machine learning enables organizations to discover more insight from their data, allowing employees to focus on other critical responsibilities.
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
It’s a social world and the majority of organizations today use Microsoft Office as their chosen office productivity suite. So it’s important to deliver insights where people are working most. This paper shows how you can use results produced by SAS Visual Analytics with Microsoft Office applications – Outlook, Excel, Word, PowerPoint and SharePoint. With plenty of how-to specifics, you’ll see how easy it is to combine analytic visualizations and reports with Microsoft products to share insights, improve collaboration and drive further adoption of analytics across your organization.