data strategy

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Published 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
Published 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
Published By: Carbonite     Published Date: Oct 10, 2018
IT admins tasked with restoring servers or lost data during a disruption are consumed with a single-minded purpose: successful recovery. But it shouldn’t take an adverse event to underscore the importance of recovery as part of an overall backup strategy. This is especially true with large datasets. Before you consider how you’re going to back up large datasets, first consider how you may need to recover the data.
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Carbonite
Published By: Carbonite     Published Date: Oct 10, 2018
Backup and high availability are both essential forms of protection that fulfill different roles within a data protection strategy. So which type of protection is right for different systems? According to recent analyst reports, experts recommend a blended approach that aligns data protection with type of data.1 By aligning data protection with data urgency, businesses can ensure higher levels of resiliency and reduce demands on internal resources.
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Carbonite
Published By: Workday     Published Date: Sep 19, 2018
Hoarding data isn’t doing much to help your financial services firm if you can’t easily combine data from multiple sources and quickly run analytics. But there is a way to turn those heaps of data into actionable insights to get clearer answers to your biggest questions and better drive your firm’s strategy. Read the blog to learn how to improve your back end to go from data hoarding to decision-making.
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Workday
Published By: Zerto     Published Date: Oct 08, 2018
"With so many organizations looking to find ways to embrace the public cloud without compromising the security of their data and applications, a hybrid cloud strategy is rapidly becoming the preferred method of efficiently delivering IT services. This guide aims to provide you with an understanding of the driving factors behind why the cloud is being adopted en-masse, as well as advice on how to begin building your own cloud strategy. Topics discussed include: Why Cloud? Getting There Safely IT Resilience in the Hybrid Cloud The Power of Microsoft Azure and Zerto You’ll find out how, by embracing the cloud, organizations can achieve true IT Resilience – the ability to withstand any disruption, confidently embrace change and focus on business. Download the guide today to begin your journey to the cloud!"
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hybrid, it resilience, cloud strategy
    
Zerto
Published By: Tripp Lite     Published Date: Jun 28, 2018
As high-density IT equipment becomes the new normal, the amount of heat generated continues to grow substantially – as does the challenge of efficiently cooling data centers. Traditional perimeter and/or raised floor computer room air conditioning systems increasingly struggle to remove concentrated heat loads. In many small to mid-size data centers, implementing close-coupled cooling solutions can be a highly effective and efficient strategy for supplementing cooling capacity. Located in or near server racks, close-coupled air conditioning units focus cooling where it is needed most without lowering the temperature of the entire data center. In addition, these modular solutions make it easy to reconfigure cooling to handle new equipment or eliminate hot spots. As a result, using close-coupled portable, rack-mounted or row-based air conditioning units tailored to your specific data center needs can boost cooling efficiency and add valuable flexibility.
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Tripp Lite
Published 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
    
SAP
Published By: Amazon Web Services     Published Date: Oct 12, 2018
Safeguarding your data is more important than ever. In today’s data-driven business landscape, companies are using their data to innovate, inform product improvements, and personalize services for their customers. The sheer volume of data collected for these purposes keeps growing, but the solutions available to organizations for processing and analyzing it become more efficient and intuitive every day. Reaching the right customers at the right time with the right offers has never been easier. With this newfound agility, however, comes new opportunities for vulnerability. With so much riding on the integrity of your data and the services that make it secure and available, it’s crucial to have a plan in place for unexpected events that can wipe out your physical IT environment or otherwise compromise data access. The potential for natural disasters, malicious software attacks, and other unforeseen events necessitates that companies implement a robust disaster recovery (DR) strategy to
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Amazon Web Services
Published 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
Published 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
Published 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
Published 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
Published 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
    
SAP
Published 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
Published 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
Published 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
Published 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
Published 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
    
Commvault
Published 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
    
Commvault
Published 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
Published 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
Published 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
Published 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
Published 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
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