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As combinations of both internal and externally-imposed business policies imply dependencies on managed data artifacts, organizations are increasingly instituting data governance programs to implement processes for ensuring compliance with business expectations. One fundamental aspect of data governance involves practical application of business rules to data assets based on data elements and their assigned values. Yet despite the intent of harmonizing data element definitions and resolution of data semantics and valid reference values, most organizations rarely have complete visibility into the metadata associated with enterprise data assets.

To stay ahead in today's hybrid network, you need a lens into the end user's experience as well as an understanding of the dependencies between your applications and network. With this approach, you are alerted to issues before the business is impacted and problems are resolved faster. This eBook details what you need to know to select a best of breed network performance management solution and outlines the critical capabilities required for deep application visibility across virtualized, hybrid and cloud networks no matter where a user is located. Read this book and: Discover best practices - for proactive network monitoring and fast troubleshooting Learn how to stay ahead of application performance issues with increased visibility Increase productivity and a higher ROI - with automatic discovery, end-to-end monitoring, reporting, analytics and faster MTTR Ensure your approach is a proactive mode Study the

Effective IT planning and decision making are dependent upon having a complete asset inventory and an accurate understanding about dependencies available before, during and after IT change activities. Application discovery and dependency mapping (ADDM) solutions automate the process of discovering and mapping transactions and applications to the underlying infrastructure and application interdependencies. Learn how Riverbed Cascade’s built-in application discovery and dependency mapping capabilities can help you shorten project times and mitigate risk.

Complex hybrid environments can make it difficult to track interdependencies, increasing the risk of disrupting critical business services. In this research paper by EMA, you’ll learn how application discovery and dependency mapping can help you: • Meet granular targets for availability, cost, and time-to-revenue for cloud services • Accelerate mean time to repair (MTTR) while communicating better with stakeholders • Manage even the most complex hybrid environments more efficiently and effectively • Understand the impact of proposed changes and potential security risks to guide decision-making

Every day, a new product launch promises speed, efficiency or savings for businesses eager to stay a step ahead. But if you’re an IT pro, and it’s your job to onboard the new system, the allure gives way to practical considerations: How are you going to move all that critical data—including dependencies, settings and custom configurations—from one system to another so it all talks to each other the way it’s supposed to? Whether you’re tackling a oneoff project or looking to improve your in-house skills, these eight tips for mastering migration will help you form a strategy, determine costs and find technical solutions to ensure successful migration no matter what platform you’re on or which one you’re moving to.

As concerns over cloud security fade, they’ve been replaced by a new fear: the pain of migration. Failed migrations are forcing businesses to second-guess moving to the cloud. But the ability to migrate to new platforms is essential for businesses seeking agility in competitive markets. Here are five common mistakes you should avoid to ensure successful, non-disruptive migration from any source to any target.

A self-service experience helps IT and business users do more, and do it better, at a lower cost This eBook, “Consumerize the User Experience,” distills insights from the ServiceNow user community that can help you rapidly deploy an improved self-service experience while maximizing your short, medium, and long-term benefits. Learn best practices to: • Create a self-service portal where users can report issues, make requests, ask questions, and check request status • Define the service catalog to accurately reflect details of supported services, such as: scope, cost, service level agreements (SLAs), dependencies, and more • Automate knowledge sharing for better service and less hunting for information

Asia’s business environment is characterised by rapidly changing trade dependencies, innovative competitors that disrupt markets with digital technology, and a macroeconomic climate closely tied to the health of the Chinese economy and the vigour of the American consumer. In Asia, three-quarters of CFOs say automation is improving their finance function’s efficiency, allowing it to focus on value-added tasks. 68% say their company is providing technology to boost collaboration between finance and other business units. What else can you learn from these leading CFOs?

To stay ahead in today's hybrid network, you need a lens into the end user's experience as well as an understanding of the dependencies between your applications and network. With this approach, you are alerted to issues before the business is impacted and problems are resolved faster. This eBook details what you need to know to select a best of breed network performance management solution and outlines the critical capabilities required for deep application visibility across virtualized, hybrid and cloud networks no matter where a user is located. Read this book and: Discover best practices - for proactive network monitoring and fast troubleshooting Learn how to stay ahead of application performance issues with increased visibility Increase productivity and a higher ROI - with automatic discovery, end-to-end monitoring, reporting, analytics and faster MTTR Ensure your approach is a proactive mode Study the evaluation checklist - select the best solution for your needs

Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.

Top Performers are early adopters of technologies that allow marketers to remove dependencies from third-party resources (such as IT) to impact the customer experience online – and it’s paying off. Today, technologies like web content management (WCM) and marketing automation are giving marketers control over the customer experience and real-time behavior-driven engagement.

Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!

Everyone knows that effective network management practices start with establishing a full foundational understanding of the network. But simply monitoring individual elements can only get you so far. Historically, going the next step requires manually building and maintaining the knowledge of how those disparate elements are connected and how they interact with one another to deliver applications and communications. In other words, you need to understand network-level dependencies.

Many firms—including those in the wholesale distribution sector—have achieved more efficient and business operations by using cloud-based ERP. Whatever the variations on the theme, wholesale distributors face challenges ranging from tight margins to supply chain and delivery-carrier dependencies. Succeeding in this demanding and fast-paced sector requires that companies operate with high efficiency and low error rates. Wholesale distributors that don’t closely track and optimize their core operations can put critical business relationships at risk, seriously undermining their profitability and growth potential.

Service virtualization enables development and test teams to simulate and model the dependencies of unavailable or limited services and data. Voke conducted a survey of 505 participants from technology and non-technology companies to explore their use of service virtualization and its results. Organizations using service virtualization experienced fewer defects, reduced software cycles, and increased customer satisfaction. The 2015 Service Virtualization Market Snapshot™ REPORT by Voke Research provides real-world data to help you justify the investment in service virtualization.

Many of today’s businesses have already moved from rigid siloed application approaches to more flexible business process focused solutions. This is driving the need for transparency in the underlying technologies, and for better levels of standardization and virtualization of the infrastructure, along with consideration of the value chain that includes a company’s suppliers and customers.

In this whitepaper, John Graham-Cumming, Founder and Chief Scientist at Electric Cloud, Inc. will provide time-saving tips for automating and optimizing dependencies between files in a software build.

With modern IT infrastructures an intricate web of interdependencies, uncovering the total IT environment, including the logical relationships between physical, virtual and cloud elements, has never been more important—or more complex. This white paper discusses how IBM’s analytics for logical dependency mapping, ALDM, reengineers the IT discovery process to provide a more complete and accurate view of the IT infrastructure.

Business needs, market trends, and customer demands are forcing IT teams to deploy applications at a rapid rate. The frequency of the deployments can invoke human errors, failed deployments, and outages. This paper will guide you through seven best practices that will strengthen the way applications are released to production.

Technology’s role in business and society has shifted away from largely driving efficiencies to innovating and creating engaging experiences that attract and retain customers. Innovations and business outcomes are fueled by a perfect storm of technology trends in cloud, analytics, machine learning, IoT and the emerging API Economy. The convergence of these technologies has created new opportunities for enterprises to improve business performance by acquiring customers faster while creating brand loyalty. The role of technology expands the interaction with customers beyond the core of the enterprise – away from 100% dependencies on systems of records – and towards real-time, contextual interactions. Businesses are a digital business or they are evolving to become one. This requires enterprises to re-think how they build software architectures.

Just “keeping the lights on” in the server room is highly complex and largely inefficient. Maintaining IT infrastructure, system interdependencies, and application interoperability tie up valuable personnel and resources. The old way of simply throwing more hardware capacity at a problem can only serve to increase the complexity and further dampen productivity. In a perfect world, the infrastructure—hardware and software—would have been built as an integrated but scalable unit from the ground up. In our world, though, the best new systems combine independent pieces of IT infrastructure to form simplified computing platforms, freeing up IT to focus on business innovation rather than infrastructure management. Welcome to the new world of IT.

Using productivity tools for requirements management is like using a hammer to open a bottle. It gets the job done, but at what cost? IBM Rational DOORS NG offers effective requirements management capabilities by including the ability to capture relationships and manage dependencies.

How many times has your product gone to prototype, test or assembly and not worked quite right? How can you address all dependencies before testing and assembly? Find out in this free white paper.

Tracking risks, assumptions, issues and dependencies in a practical way with proper project management towards better delivery

Many Windows applications are traditional x86/x64 apps, which can be several GBs in size. To package and deploy apps to remote worker and branch office endpoints, organizations mostly rely on costly distribution servers, which are both capital and labor intensive. New Windows Software Distribution capabilities in AirWatch create a more efficient and enterprise scalable deployment experience that reduces bandwidth, infrastructure, and labor costs. • Manage the full lifecycle of Win32 apps - including deploying apps, dependencies and patches • Eliminate the challenges of complex app packaging, unreliable app installs and recurring OS imaging with App Stacks delivery • Distribute apps to remote and branch users with CDN and P2P capabilities and eliminate your distribution server footprint • Deliver apps in a unified app catalog and provide a consistent single sign-on experience for the user