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Data Management

Data Management comprises all the disciplines related to managing data as a valuable resource. Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.
Results 276 - 300 of 3821Sort Results By: Published Date | Title | Company Name
White Paper Published By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, best practices, hadoop, next generation analytics, platforms
    
Pentaho
White Paper Published By: Rsam     Published Date: Apr 28, 2016
The University of Rochester Medical Center (URMC) is of the nation’s top academic medical centers. Their InfoSec team wanted to implement a program that could withstand constant shifts in regulatory requirements while protecting the sanctity of patient health information. Learn why the selected Rsam and the results of their successful implementation.
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rsam, university of rochester, security incident response, successful implementation, security
    
Rsam
White Paper Published By: Rsam     Published Date: Apr 28, 2016
Healthcare enterprises are under more scrutiny than ever to demonstrate compliance. With more than 5,000 suppliers, this FORTUNE 50 company needed to automate and streamline their vendor risk management program. Learn why they selected Rsam and the results of their successful implementation.
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rsam, fortune 500, vendor risk management, healthcare enterprise, compliance
    
Rsam
White Paper Published By: Adobe     Published Date: Apr 25, 2016
De toute évidence, les personnes interrogées en sont conscientes : 94 % d’entre elles estiment qu’il sera important d’améliorer le processus de création et de diffusion du contenu pour améliorer l’expérience client. En outre, 91 % des sondés sont du même avis concernant l’importance d’améliorer la collaboration entre les équipes créatives et marketing.
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data, customer experience, customer relationship, data management
    
Adobe
White Paper Published By: IBM     Published Date: Apr 22, 2016
The upside of disruption: Reinventing business processes, organizations and industries in the wake of the digital revolution
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ibm, ibm big data and analytics, ibm big data, trusted data, big data
    
IBM
White Paper Published By: IBM     Published Date: Apr 22, 2016
This white paper explains the value of putting data and insight to work to accelerate an organization’s journey to becoming a Cognitive Business, by enhancing their investments in data and analytics and realizing new opportunities from cognitive systems that understand, reason and learn.
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ibm, ibm analytics, cognitive business, watson, think data
    
IBM
White Paper Published By: IBM     Published Date: Apr 22, 2016
Developing a data integration and lifecycle management strategy for a hybrid environment This e-book focuses on building and executing a data integration and lifecycle management strategy.
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ibm, think data, integration, lifecycle strategy, ibm analytics
    
IBM
White Paper Published By: Dun & Bradstreet     Published Date: Apr 21, 2016
When the right approach is applied, analytics can drive more effective marketing strategies. While marketers understand the role analytics plays within the organization, most are not leveraging analytics to really drive enterprise performance. We surveyed 100+ business leaders to understand the state of analytics maturity across today’s leading organizations, uncovering common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage. What We Uncovered: - 73% of analytic professionals claim to work for an analytically-driven company - Only 42% of companies have a strategy for using analytics across the enterprise - Just 38% of companies share results of their analytic insights outside their department - 81% of organizations rely on 3rd parties for at least some portion of their analysis Download the report to learn how marketers, like yourself, view themselves in light of using analytics to drive their business.
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hoover's, marketing strategies, analytics, data, best practices
    
Dun & Bradstreet
White Paper Published By: Mimecast     Published Date: Apr 20, 2016
Mimecast conducted a whaling attack survey with 500 organizations around the globe and the results were alarming.
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mimecast, data breach, personalized emails, network defenses, cyber threats
    
Mimecast
White Paper Published By: Cisco     Published Date: Apr 19, 2016
Digital collaboration is supposed to make work easier, right? But if the tools that are supposed to make working together simple don’t actually boost productivity and efficiency, what’s the point?
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cisco webex, best practices, digital workplace, digital collaboration, productivity
    
Cisco
White Paper Published By: IBM     Published Date: Apr 19, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
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ibm, ibm pure data system, big data, data analytics, analytics architecture
    
IBM
White Paper Published By: IBM     Published Date: Apr 19, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
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ibm, ibm pure data system, big data, data analytics, analytics architecture
    
IBM
White Paper Published By: IBM     Published Date: Apr 19, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselves, to respond to the market.
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ibm, ibm pure data system, big data, data analytics, analytics architecture
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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ibm, mdm, big data, ibm infosphere, data management
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
"Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data."
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ibm, mdm, big data, trusted data, data solutions
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, mdm, big data, data management, data matching
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
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ibm, big data, trusted data, data management, data solutions
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
"Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need."
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ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
By using InfoSphere Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of-impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time.
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ibm, big data, ibm infosphere, information empowerment, data integration
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.
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ibm, total economic impact, tei study, roi, return on investment
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
While the term 'big data' has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades. IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
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ibm, ibm infosphere, big data, data optim, data management
    
IBM
White Paper Published By: IBM     Published Date: Apr 18, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
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ibm, trusted data, data optim, big data, hybrid data environments
    
IBM
White Paper Published By: F5 Networks Inc     Published Date: Apr 15, 2016
As enterprises evolve to the 3rd Platform of IT, they will reap many benefits and face many challenges. Meeting the rapid pace of business and taking control of the customer experience must be balanced with keeping assets secure as the enterprise perimeter expands or dissolves altogether.
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application, transformation, cloud, enterprise, mobile
    
F5 Networks Inc
White Paper Published By: MuleSoft     Published Date: Apr 13, 2016
New Enterprise challenge has emerged. With the number of APIs growing rapidly, managing them one-off or via Excel or corporate wiki is no longer feasible. The smartest organizations have discovered a set of best practices to design powerful APIs that leverage existing services, to effectively manage those APIs throughout their lifecycle and to scale their deployment across consumers and devices. This eBook examines the relationship between APIs and services and presents the key elements of a successful API strategy in the form of 7 habits. In this eBook you will learn: - How to leverage existing services in the API economy - Where to get started with your API strategy - Key criteria for selecting an API Management solution - Strategies to overcome API security and identity challenges - How and why to apply the fundamentals of API First Design
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service management, enterprise applications, best practices, business management, business strategy
    
MuleSoft
White Paper Published By: MuleSoft     Published Date: Apr 13, 2016
Every corner of an enterprise needs technology to build new applications for their specific function or customer. IT needs to transform from its traditional function as the sole technology provider to become an adaptive, responsive and nimble organization that can keep up with the pace of the digital era as well as embrace the opportunities provided by a change-driven environment. This transformation can occur only if IT transforms itself into a strategic business enabler rather than a centralized technology function. Being an enabler means that IT has to decentralize and democratize application development and data access to the different Lines of Business (LoBs) and functional business partners. This way, IT can concentrate on a partnership with the business - i.e. providing a set of strategic and consistent assets and technology.
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technology, enterprise applications, best practices, business optimization, technology architecture
    
MuleSoft
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Sub-Categories: Analytical Applications, Application Integration, Business Intelligence, Data Integration, Data Mining, Data Quality, Data Warehousing, Service Oriented Architecture, SOAP, Web Service Management

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