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: Talend     Published Date: Nov 02, 2018
The rise of data privacy regulations and the increasing risk of data theft have made data protection an essential part of any data-driven strategy. This executive summary gives you a quick overview of the risks and regulations related to data privacy, and a framework for addressing both without compromising on customer experience.
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Talend
Published By: Group M_IBM Q418     Published Date: Oct 26, 2018
Over the past few years, business leaders have been the primary drivers of technology change, including making decisions to adopt new applications in the cloud, mandate a cloud-first strategy, offer new capabilities with an API-first strategy, and provide new applications to end users on mobile first. There are significant benefits to these cloud decisions because they decrease time to value, lower costs, and make it easier for organizations to experiment and innovate. But there are consequences as well, chiefly in the complexity of learning how to integrate applications and exchange data across a decentralized architecture that is largely driven by autonomous development decisions. This IDC White Paper answers the following questions about the need for hybrid integration: How are changes in business strategy and technology adoption requiring changes in how organizations approach integration? What are the major events that trigger integration adaptation? How are the roles involve
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Group M_IBM Q418
Published By: Cisco and NVIDIA Corporation     Published Date: Oct 22, 2018
Citrix and Google are collaborating to bring the best, most secure way to deliver virtual apps and desktops from Google Cloud. The Citrix Workspace solutions traditionally installed on data center servers—including Citrix Virtual Apps and Desktops, Citrix Networking, and Citrix Content Collaboration (formerly known as Citrix ShareFile)—are now enabled on Google Cloud Platform services. Citrix enables customers to choose the workload deployment option that best aligns with their enterprise cloud strategy and offers a variety of ways to securely deploy Citrix solutions to meet unique application needs. Whether deployed on-premises, cloud-hosted, as a Citrix Workspace service, or with a service provider—customers choose how much and which components of app workloads to manage and when and where to securely deploy business apps, data, and desktops.
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Cisco and NVIDIA Corporation
Published 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
Published By: AWS     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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AWS
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: 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: 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: 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: 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. 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: 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: TIBCO Software     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
Published 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
Published By: EverString     Published Date: Jul 10, 2018
Account-Based Marketing (ABM) is gaining traction as the viable compliment to traditional sales and marketing efforts. ABM allows sales and marketing teams to be more personalized and targeted for the accounts that matter most to their business. In this ebook we will take you through: - The foundation of Account-Based Marketing - Why ABM has become so popular - How to select your target accounts - How to build a data-backed ABM strategy - How to implement an ABM strategy
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EverString
Published By: KPMG     Published Date: Jul 10, 2018
Modern regulation demands connected thinking, leading-practice processes, optimal data management and insightful reporting – all of which makes the finance function the ideal catalyst for change. Read this report to find out: • how to structure a transformation plan and strategy • how to create the optimal team for transformation • what leading companies are doing to drive transformation through regulatory change.
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KPMG
Published By: KPMG     Published Date: Jul 10, 2018
Modern regulation demands connected thinking, leading-practice processes, optimal data management and insightful reporting – all of which makes the finance function the ideal catalyst for change. Read this report to find out: • how to structure a transformation plan and strategy • how to create the optimal team for transformation • what leading companies are doing to drive transformation through regulatory change.
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KPMG
Published By: Evariant     Published Date: Jul 02, 2018
When call center agents don’t have access to an EMR, consumer demographic, sociological and other data, nor an understanding of marketing campaigns, agents are inefficient, reactive and unable to personalize interactions with patients and consumers. The disjointed call center experience harms the health system’s ability to find, guide, and keep patients for life. The call center is often the first touch for many prospective healthcare customers, and Scripps Health recognized these challenges. They made the pivot from call center as cost center to strategic lynch pin in their patient experience strategy. Call center agents are now delivering a world-class patient experience as they provide physician referrals, take class registrations, and serve as a clearing house for general information . An added bonus of the shift is they can now integrate outbound calling into campaign efforts, and measure the full impact of marketing efforts and strengthen marketing’s ROI. Get your free copy of
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call center, conversions, health, proactive
    
Evariant
Published By: IBM     Published Date: Jul 02, 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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IBM
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: Box     Published Date: Jun 22, 2018
These days, everyone's talking about digital transformation. But exactly how does your company get there? Capture is a great place to start — in fact, it's one of the most critical steps to take as you move your business into the digital age. Whether it’s simply using OCR to make content more easily discoverable, adding and enhancing metadata to drive specific processes, or classifying content from the onset for better information governance, capture adds a ton of value to your existing content assets. This ebook details our key takeaways from AIIM's Industry Watch Report, Improving Business Operations in 2017: Capturing Vital Content. We share how cloud-based capture tools are replacing the longstanding legacy of paper-based processes to streamline and speed up the way you do business. Download the ebook to learn: • How the latest capture innovations can support your digital strategy • 5 business processes that benefit most from advanced capture technologies • The key benefits of c
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Box
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