As your organization struggles with growing volumes and sources of data, increasingly
complex regulatory requirements, and pressure to do more with fewer resources, SAS
Data Management can help. How? Our solution helps you make sense of your data so
you can make better decisions. Then you can take the right actions to improve
customer experience, boost revenue, become more efficient and remain compliant
Health care organizations face a variety of security challenges—from the growing presence of online personal data to new methods of accessing and transferring medical information. Protecting sensitive data requires more vigilance than ever.
Learn how your IT security peers are responding to threats from mobile and cloud technologies to address these open systems in this latest SANS survey:New Threats Drive Improved Practices: State of Cybersecurity in Health Care Organizations. Inside you’ll see all the results—revealing better awareness of risks with improved commitment of resources and support.
Download now to learn more about how leading health care organizations:
Assess information ecosystems — to understand gaps in infrastructure
Establish data-centric security controls — focusing on information, not just infrastructure
Manage identities — tying data controls closely with identity and access management
Invest in incident response — documenting and maintaining a formal response p
Published By: DoubleTake
Published Date: Jul 14, 2010
The Department of Homeland Security puts businesses in two categories: those who have already experienced the pain of losing valuable electronic data, and those who will at some point in the future. Well-prepared businesses know that deploying the right resources, processes and technology to protect vital HR information is important, but having adequate resources and technology in place to protect the same invaluable data in branch offices is just as important, though often overlooked. This paper will teach you how real-time data replication software can automatically backup branch office data to a central server for a simpler, more reliable and cost-effective way to protect your branch.
Amazon Web Services (AWS) provides a secure and dependable environment for deploying Microsoft Exchange Server 2010. Customers can use their existing Windows Server applications licenses, such as MS Exchange or SharePoint, on AWS without paying additional licensing fees. Take advantage of the pay-as-you-go-pricing, scalability, and data integrity of the AWS Cloud to run your Exchange Server workloads today. Download the Planning and Implementation Guide to learn more.
This guide discusses planning topics, architectural considerations, and configuration steps to run a high-availability and site-resilient Exchange architecture. This guide is designed for Microsoft Exchange Server administrators, architects, and engineers. In the guide, we also provide a sample AWS CloudFormation template that is designed to help you easily provision the necessary AWS resources and update them in an orderly and predictable fashion.
Learn more today!
In every industry, IT professionals are watching their roles and objectives evolve rapidly. The world is now digital and data is at the core of how enterprises, governments and individuals manage their core functions. Now, more than ever, CIOs and CTOs are challenged to build sustainable IT strategies against a constantly changing backdrop. Enterprises are quickly realizing that the resources required are exceeding their in-house capabilities. So, who are they trusting with these most valued assets? Data center providers. Learn how IT strategies are evolving and the role data centers play in those strategies.
Published By: Exablox
Published Date: Jan 27, 2015
When it comes to the increasingly complex task of managing data storage, many small and midsize organizations face even greater challenges than large, global enterprises.
Small and midsize companies have ever-increasing volumes of information to manage and secure, and they are confronting a number of difficulties when it comes to storage. Among the biggest hurdles:
›› Scaling storage as the business grows rapidly
›› Meeting the rising expense of data storage capacity
›› Dealing with the complexity of management and architecture
›› Devoting precious staff time managing storage and data backup
Whereas larger organizations have significant IT budgets and staff to handle storage-related challenges, small and midsize companies lack the IT resources to dedicate to storage management. Fortunately, there are new approaches to data storage on the market that can help such companies address their data storage needs without requiring dedicated storage management resources, while at the same ti
Published By: Rackspace
Published Date: Jan 19, 2016
Many companies want to take advantage of public cloud features, but aren’t willing to compromise on the performance, security and control that they require for their business applications and data. Public clouds have the potential to introduce performance issues caused by “noisy neighbors,” security concerns associated with placing sensitive data in a shared infrastructure environment, and a lack of control driven by the inability to customize and fine-tune cloud resources to meet the needs of a given application.
Published By: AuditBoard
Published Date: Nov 26, 2018
Aggregating and analyzing internal organizational data, external subject matter expertise, and internal control-related data should provide the internal audit team a solid understanding of how the process works, the key risks managed by the process, and how the internal audit team should spend their time and resources to carry out the process.
Published By: Tripwire
Published Date: Mar 31, 2009
How do organizations pass their PCI DSS audits yet still suffer security breaches? Paying attention to PCI DSS checklists only partially secures the cardholder environment. Learn the next steps for fully securing your data.
"Virtualization introduces new challenges for managing your data center. Applications now compete for shared resources such as storage, CPU cycles and memory, often causing performance bottlenecks and unhappy customers. This paper details 20 metrics that indicate when capacity issues are occurring and recommends a corresponding tool that will analyze the data and resolve your VM performance issues.
Read the White Paper "
Salesforce.com is an industry leading cloud CRM solution which helps organizations streamline and effectively manage sales processes, customers and opportunities. The effectiveness of these initiatives can be improved dramatically by providing Salesforce with a 3600 view of the Customer to overcome the limitation of fragmented data that Salesforce currently relies on.
This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources. This data is integrated seamlessly within Salesforce.com to help your sales teams get a complete view of the customer to help find the right contacts, allocate resources efficiently and identify new opportunities. This helps your sales teams be more efficient, effective and ultimately improve your win rate and drive more revenue.
Organizations and intelligence agencies from a variety of industries and sectors face the same challenges when it comes to big data – the need to uncover actionable insights, with limited resources, with critical speed. But with the right intelligence solution, overwhelming data won’t be a challenge, rather, it becomes your resource to smarter, more effective decision making.
Data movement and management is a major pain point for organizations operating HPC environments. Whether you are deploying a single cluster, or managing a diverse research facility, you should be taking a data centric approach. As data volumes grow and the cost of compute drops, managing data consumes more of the HPC budget and computational time. The need for Data Centric HPC architectures grows dramatically as research teams pool their resources to purchase more resources and improve overall utilization. Learn more in this white paper about the key considerations when expanding from traditional compute-centric to data-centric HPC.
Watch to learn how an enterprise-grade, multi-tenant solution can help you deploy Spark in a production environment to take advantage of
· Faster time-to-results for big data analytics
· Simplified deployment and management
· Increased utilization of hardware resources"
Is your software defined infrastructure (SDI) for high performance computing (HPC) and big data analytics meeting the needs of your growing business? Would you like to know how to justify the switching cost from unsupported open source software to a commercial grade SDI that ensures your resources are more effectively used cutting down time to market? This webcast will give you an overview of the true costs of building out and managing a HPC or Big Data environment and how commercial grade SDI software from IBM can provide a significant return on investment.
If you need to deploy and scale applications faster to increase
revenue, Cisco’s integrated infrastructure solutions can help you
achieve your goals—and reduce risk.
Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System™ (Cisco UCS®) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.
Businesses today certainly do not suffer from a lack of data.
Every day, they capture and consume massive amounts
of information that they use to make strategic and tactical
decisions. Yet organizations often lack two critical capabilities
when it comes to making the right decisions for the business:
the ability to make accurate predictions about the future,
and to then use those predicted insights in conjunction with
organizational goals to identify the best possible actions they
The combination of predictive analytics and decision
optimization provides organizations with the ability to
turn insight into action. Predictive analytics offers insights
into likely scenarios by analyzing trends, patterns and
relationships in data. Decision optimization prescribes
best-action recommendations given an organization’s
business goals and business dynamics, taking into account
any tradeoffs or consequences associated with those actions.
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins.
Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses.
Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance.
Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
If you function like most IT organizations, you've spent the past few years relying on mobile device management (MDM), enterprise mobility management (EMM) and client management tools to get the most out of your enterprise endpoints while limiting the onset of threats you may encounter.
In peeling back the onion, you'll find little difference between these conventional tools and strategies in comparison to those that Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs) have employed since the dawn of the modern computing era. Their use has simply become more:
Time consuming, with IT trudging through mountains of endpoint data;
Inefficient, with limited resources and limitless issues to sort through for opportunities and threats; and
Costly, with point solution investments required to address gaps in OS support across available tools.
Download this whitepaper to learn how to take advantage of the insights afforded by big data and analytics thereby usher i
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it.
The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources.
This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
NoSQL databases and Apache Spark are a potent combination for rapid
integration, transformation and analysis of all kinds of business data.
With its data syncing and analytics capabilities, IBM Cloudant offers unique
advantages as a NoSQL database for many Spark use cases.
IT decision-makers, data scientists and developers need to know how and when to
apply these technologies most effectively.
IBM can offer a host of resources and tools to help your organization gain value
from Cloudant and Spark quickly, and with minimal up-front investment.
"Businesses understand more than ever that they depend on data for insight and competitive advantage. And when it comes to data, they have always wanted easy access and fast performance.
But how is the situation different now? Today, organizations want those elements and more. They want IT to strip away the limitations of time with faster deployment of new databases and applications. They want IT to reduce the limitations of distance by giving remote and branch offices better and more reliable access. And in a global world where business never stops, they want IT to ensure data availability around the clock.
If IT can deliver databases and applications faster, on a more automated and consistent basis, to more locations without having to commit onsite resources, IT will be free to focus on more strategic projects."