data strategy

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Published By: Trifacta     Published Date: Nov 02, 2018
In the latest report, Forrester evaluated 10 top data preparation solutions against 18 criteria, grouped into categories of Current Offering, Strategy and Market Presence. See how each data prep provider compares and who received the highest scores. Download your copy today to review: What are the key technical differentiators for data preparation solutions Which user personas do data preparation solutions focus on Why ownership of data preparation is transitioning from IT to business end users
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Trifacta
Published By: Workday     Published Date: Sep 19, 2018
Hoarding data isnt doing much to help your financial services firm if you cant 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 firms 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 Youll 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: Epson     Published Date: May 14, 2018
Consumers worldwide continue to adopt and use technology in their shopping experience. Faced with rising customer expectations and increasing competitive pressures, retailers now are prioritizing in-store innovation. Many retailers have adopted multichannel implementations, in which mobile, web, and in-store shopping are enabled but not delivered consistently to the customer. The next step in this evolution is an omnichannel strategy, now being deployed by some retailers, which presents a consistent shopping experience across mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty programs, personalized recommendations, inventory management, etc.) to improve many aspects of store and enterprise operations. An omnichannel strategy relies on several core and supporting technologies. The key factors in evaluating any omnichannel-enabling solution includ
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Epson
Published By: Reltio     Published Date: Nov 20, 2018
Modern Master Data Management (MDM) is more than an extension of your data governance strategy. See how Reltio is taking MDM to the next level with its data platforms in AWS and Google Cloud.
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Reltio
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, best practices, business activity monitoring, business integration, business intelligence, business management, business process management, data integration, employee performance management
    
SAP
Published By: Amazon Web Services     Published Date: Nov 08, 2018
In this webinar, youll learn how Reltio and IQVIA provide holistic data management solutions for traditional pharma, as well as for emerging biotech and consumer health companies, on Amazon Web Services (AWS).
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Amazon Web Services
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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Group M_IBM Q418
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. Theres 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 dont 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. Youre establishing strategies and policies for data assets. And, youre 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 Dych and Evan Levy have noted, data governance is a combination of strategy and execution. Its 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 firms 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, analytical applications
    
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. Todays 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, security, backup and recovery, best practices
    
Commvault
Published By: Commvault     Published Date: Jul 06, 2016
ENDPOINT DATA. Its often one of the most forgotten aspects of an enterprise data protection strategy. Yet, content on laptops, desktops and mobile devices is among a companys most valuable data even while its 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
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding todays 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 Intels 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
Published 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 CIOs 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
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