data strategy

This briefing paper provides IT and business professionals with insights into the impact of the digital transformation on data center strategies. In particular, it argues that, in the cloud-mobile era, workload location matters more than ever and that placing workloads in colocation centers needs to be a component of the data center strategy of a Digital Enterprise.

This briefing paper provides IT and business professionals with insights into the impact of the digital transformation on data center strategies. In particular, it argues that, in the cloud-mobile era, workload location matters more than ever and that placing workloads in colocation centers needs to be a component of the data center strategy of a Digital Enterprise.

Exploiting the Software Advantage Lessons from Digital Disrupters

The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.

"IT needs to reach beyond the traditional data center and the public cloud to form and manage a hybrid connected system stretching from the edge to the cloud, wherever the cloud may be. We believe this is leading to a new period of disruption and development that will require organizations to rethink and modernize their infrastructure more comprehensively than they have in the past. Hybrid cloud and hybrid cloud management will be the key pillars of this next wave of digital transformation – which is on its way much sooner than many have so far predicted. They have an important role to play as part of a deliberate and proactive cloud strategy, and are essential if the full benefits of moving over to a cloud model are to be fully realized."

The role of FP&A professionals during the first two weeks of the month entails rushing for month closure, gathering data sets, reports, and scrutinizing, processing and analyzing data in Excel workbooks in discussion with the top management. Increasing revenues, optimizing costs, and aligning with the overall business strategy are a few familiar goals laid down for financial planning and analysis (FP&A) professionals. These goals trickle down from finance leaders who are under constant pressure to provide accurate and timely reporting and analysis to support effective decision making. Read on to know how can digitizing FP&A help the finance team to make more robust decisions and be a key part of the finance transformation.

While your competitors sit back, download this free paper to learn how to cut costs, boost profits, build loyalty, and solve a myriad of day-to-day business challenges.

Digital transformation (DX) is a must for midsize firms (those with 100 to 999 employees) to thrive in the digital economy. DX enables firms to increase competitive advantage through initiatives such as automating business processes, creating greater operational efficiencies, building deeper customer relationships, and creating new revenue streams based on technology-enabled products and services. DX is a journey, and it starts with firms embracing an IT-centric vision that guides a data-driven, analytics-first strategy. The outcome of DX initiatives depends on the ability of a firm to efficiently leverage people (talent), process, platforms, and governance to meet the firm’s business objectives.

New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.

This paper summarizes the trends that have made modernizing backup and recovery an urgent priority, the key requirements for solution offerings, and the unique capabilities of Veritas NetBackup™ Appliances in delivering a simple, complete, and cost-effective solution.

Data is a driver of growth and change that is quickly becoming the world's most valuable resource. As such, finance leaders face increased pressure to value data as an asset on their balance sheets and use it to drive business strategy. To capitalize on the power of data, learn how to pinpoint where you are today. what steps you can take to reach your goals and how to measure success.

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.

IT organizations today must work in an “and” world, rather than an “or” world to meet the demands of their users. In an “and” world, IT architectures and strategies leverage an ever-broadening variety of tools while still supporting and propelling a single strategy.

Around-the-clock global operations, data growth, and server virtualization all together can complicate protection and recovery strategies. They affect when and how often you can perform backups, increase the time required to back up, and ultimately affect your ability to successfully restore. These challenges can force lower standards for recovery objectives, such as reducing the frequency of backup jobs or protecting fewer applications, both of which can introduce risk. High-speed snapshot technologies and application integration can go a long way toward meeting these needs, and they have quickly become essential elements of a complete protection strategy. But snapshot copies have often been managed separately from traditional backup processes. Features like cataloging for search and retrieval as well as tape creation usually require separate management and do not fully leverage snapshot capabilities. To eliminate complexity and accelerate protection and recovery, you need a solution

ENDPOINT DATA. It’s often one of the most forgotten aspects of an enterprise data protection strategy. Yet, content on laptops, desktops and mobile devices is among a company’s most valuable data even while it’s potentially at the greatest risk. According to IDC there will be some 1.3 billion mobile workers by 2015. However, only half of enterprises today are using some type of endpoint backup. That means that the volume of endpoint data that is in jeopardy is nothing short of significant. Download to read the buyer's checklist on endpoint data protection!

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.

IT organizations today must work in an “and” world, rather than an “or” world to meet the demands of their users. In an “and” world, IT architectures and strategies leverage an ever-broadening variety of tools while still supporting and propelling a single strategy.

Business Enterprises today need to become more agile, meet new and increasing workload and security requirements, while reducing overall IT cost and risk. To meet these requirements many companies are turning to cloud computing. To remain competitive companies need to formulate a strategy that can easily move them from traditional on-premises IT to private or public clouds. A complete cloud strategy will likely include both private and public clouds because some applications and data might not be able to move to a public cloud. Moving to the cloud should not create information silos but should improve data sharing. Any cloud strategy should make sure that it is possible to integrate on-premises, private cloud and public cloud data and applications. Furthermore, any on-premises cloud deployments must be able to easily migrate to public cloud in the future

Business Enterprises today need to become more agile, meet new and increasing workload and security requirements, while reducing overall IT cost and risk. To meet these requirements many companies are turning to cloud computing. To remain competitive companies need to formulate a strategy that can easily move them from traditional on-premises IT to private or public clouds. A complete cloud strategy will likely include both private and public clouds because some applications and data might not be able to move to a public cloud. Moving to the cloud should not create information silos but should improve data sharing. Any cloud strategy should make sure that it is possible to integrate on-premises, private cloud and public cloud data and applications. Furthermore, any on-premises cloud deployments must be able to easily migrate to public cloud in the future.

Chilmark Research, a global research and advisory firm, recently released a report rating vendors and solutions in the healthcare analytics industry. IBM Watson Health, a leader in healthcare analytics, has put together this infographic comparing how its solutions stack up against some of the closest competitors in the industry in areas such as population discovery and definition, predictive analytics, cost and utilization, and claims data contribution.

A new industrial revolution is barreling ahead, fueled by the Internet of Everything, social media, and cloud computing - bringing about fundamental changes in the way that we live and act. CIOs today are in a unique position to utilize technology to create business value and opportunity. This requires a careful balance of the traditional skills of the CIO, managing the data center infrastructure while driving business strategy and impacting the customer experience. The Dell EMC PowerEdge server systems are the CIO’s key tools in this transformation. They are the bedrock of the modern data center – providing scalable system architectures that ensures control of the IT lifecycle while delivering a cyber-resilient environment. Intel Inside®. New Possibilities Outside.

Enterprise data protection has grown unwieldy, with systems from various vendors claiming to protect all of an enterprise’s data—and none of them doing a particularly good job of addressing mission-critical data recoverability requirements. It’s a situation that introduces risk and raises concerns about IT’s ability to recover in a timely manner and without data loss from outages caused by cybercrime, system failures, or human error. An integrated strategy that focuses on the complete data recovery needs of an enterprise can eliminate data loss, cut recovery times, and reduce IT complexity—while ensuring data security and positioning the enterprise to seamlessly take advantage of the cloud.

SingleHop was interested in adding capacity to its data centers while at the same time achieving a predictable cost structure using an outsourcing strategy for the development and management of these mission critical facilities. Find out why they turned to Digital Realty.

When measuring competitive differentiation in milliseconds, connectivity is a key component for any financial services company’s data center strategy. In planning the move of its primary data center, a large international futures and commodities trading company needed to find a provider that could deliver the high capacity connectivity it required.

Download this whitepaper to learn how Dell can help you realize the full value of your big data strategy—and to capitalize on all of your data, from enterprise systems to social media and the Internet of things.