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data strategy

Results 1 - 25 of 387Sort Results By: Published Date | Title | Company Name
By: VMware     Published Date: Oct 02, 2018
Digital disruption is fundamentally changing IT. Today’s organizations are under more pressure than ever to innovate fast and offer a superior experience to every customer. In this white paper, we explore the advantages that a modernized data center can bring for IT organizations seeking to keep pace in a dynamic environment, and how a software-defined approach can help move them forward. Real-world examples showcase how VMware is enabling IT teams to develop future-proof strategies with a foundation that is ready for cloud environments as well as global expansion and customer acquisitions. Submit the form to read this latest whitepaper to discover the advantages and how you could develop a future-proof strategy with VMware.
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VMware
By: TIBCO Software APAC     Published Date: Aug 14, 2018
According to Forrester Research, "Enterprise data virtualization has become critical to every organization in overcoming growing data challenges," with faster access to connected data, self-service, and agility among the many benefits seen. In this report, Forrester analyzes past research and Forrester Wave reports, user need assessments, and vendor and expert interviews to evaluate the offerings of top vendors in enterprise data virtualization. In compiling the vendor rankings, the report reviews the current offering, strategy, and market presence for the 13 most significant vendors. They discuss where TIBCO ranks in the evaluation and positions TIBCO Data Virtualization as a leader in enterprise data virtualization Read The Forrester Wave™: Enterprise Data Virtualization, Q4 2017 report to learn more.
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TIBCO Software APAC
By: SAP     Published Date: Dec 14, 2010
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.
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sap, data strategy, competitive data, reduce costs, increase profits, employee improvement, business performance, best practices, business activity monitoring, business integration, business intelligence, business management, business process management, data integration, employee performance management
    
SAP
By: CloudEndure     Published Date: Oct 12, 2018
Maintaining business continuity is your highest priority. In today’s commercial landscape, business continuity depends on the efficient, uninterrupted flow of data across the organization – from operations to sales to fulfillment. Even a brief lapse in workload continuity can mean thousands of lost sales opportunities, disruption to production, and compromised customer trust. The causes of those lapses can range from natural disasters to mechanical failure or human error. You need a data platform and a proactive disaster recovery (DR) strategy that will help you stay up and running in the event that your physical infrastructure is unavailable for any length of time. BUSINESS CONTINUITY Fulfilling orders, providing a high level of customer service, and keeping consumers engaged all depend on the efficient, uninterrupted flow of data throughout your organization. CUSTOMER TRUST Above all, protecting customer data—especially personally identifiable information (PII) —is critical
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CloudEndure
By: SAS     Published Date: Aug 28, 2018
Despite heavy, long-term investments in data management, data problems at many organizations continue to grow. One reason is that data has traditionally been perceived as just one aspect of a technology project; it has not been treated as a corporate asset. Consequently, the belief was that traditional application and database planning efforts were sufficient to address ongoing data issues. As our corporate data stores have grown in both size and subject area diversity, it has become clear that a strategy to address data is necessary. Yet some still struggle with the idea that corporate data needs a comprehensive strategy. There’s no shortage of blue-sky thinking when it comes to organizations’ strategic plans and road maps. To many, such efforts are just a novelty. Indeed, organizations’ strategic plans often generate very few tangible results for organizations – only lots of meetings and documentation. A successful plan, on the other hand, will identify realistic goals along with a r
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SAS
By: SAS     Published Date: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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SAS
By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic: • Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. • Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick “wins” and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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SAS
By: Hewlett Packard Enterprise     Published Date: May 11, 2018
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.
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Hewlett Packard Enterprise
By: SAP     Published Date: May 18, 2014
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.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools, analytical applications
    
SAP
By: Veritas     Published Date: Sep 30, 2016
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.
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Veritas
By: Oracle     Published Date: Jan 08, 2018
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.
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Oracle
By: Oracle     Published Date: Jan 08, 2018
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.
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Oracle
By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
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.
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Hewlett Packard Enterprise
By: Commvault     Published Date: Jul 06, 2016
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
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commvault, intellisnap, netapp, backup, recovery, data growth, server virtualization, data protection, cifn, snap management, snapprotect, security, backup and recovery, best practices
    
Commvault
By: Commvault     Published Date: Jul 06, 2016
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!
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commvault, endpoint data protection, endpoint data, data protection, backup, encryption, data loss prevention, mobile app, networking, security, it management, knowledge management, enterprise applications, storage, data management
    
Commvault
By: SAS     Published Date: Jan 17, 2018
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.
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SAS
By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
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.
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Hewlett Packard Enterprise
By: Oracle CX     Published Date: Oct 19, 2017
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
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Oracle CX
By: Oracle CX     Published Date: Oct 19, 2017
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.
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Oracle CX
By: IBM Watson Health     Published Date: Mar 30, 2018
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.
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analytics, infographic, predictive analytics, cost utilization, population discovery, claims data, healthcare, chilmark, strategy, healthcare analytics
    
IBM Watson Health
By: Dell EMC & Intel     Published Date: Mar 16, 2018
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.
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Dell EMC & Intel
By: Oracle     Published Date: Aug 02, 2018
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.
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Oracle
By: Digital Realty     Published Date: Feb 24, 2015
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.
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cloud iaas, data center, cloud computing, development, it management, data management
    
Digital Realty
By: Digital Realty     Published Date: Feb 25, 2015
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.
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financial services, trade processing, data center, connectivity, data center, it management, data management
    
Digital Realty
By: Dell EMC     Published Date: Oct 08, 2015
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.
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Dell EMC
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