Data Management White Papers

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.

Sub-Categories: Analytical Applications, Application Integration, Business Intelligence, Configuration Management, Data Integration, Data Mining, Data Protection, Data Quality, Data Replication, Data Warehousing, Database Development, Database Security, EDI, Service Oriented Architecture, SOAP, Web Service Management
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By: CenturyLink     Published Date: Oct 30, 2014

DevOps is a hot topic inside many Enterprise IT organizations today, because of the operational and development efficiencies it can bring. Join Gigaom Research and our sponsor CenturyLink for “DevOps, Weaving Development and Operations Together in the Enterprise,” a free analyst webinar on Thursday, October 30th, 2014 at 10 a.m. PT.

Tags : devops, centurylink, application integration, knowledge management, operations, network performance management, best practices, database development
    
By: destinationCRM.com     Published Date: Oct 29, 2014

Predictive analytics is a very useful way to "maximize the lifetime value of a customer," which, in many cases, involves optimizing marketing campaigns, increasing website interactions, converting clicks into conversions, and generally providing an intelligent next-best offer. This Roundtable Webcast will explore some of the ingenious ways predictive analytics is being used and driving positive outcomes.

Tags : predictive analytics, business intelligence, business analytics, data management, crm, intelligence, business metrics, customer relationship management
    
By: IBM     Published Date: Oct 17, 2014

In this first-release MQ, Gartner evaluates providers on service delivery, B2B Network/Collaboration, Integration Functionality and success in capitalizing on vision. Rated against an extensive 15-criteria evaluation, IBM earned one of only three Leader positions, and outpaced the competition in "completeness of vision," signifying our strength in delivering the most competitive solution to the marketplace.

Tags : integration brokerage, service delivery, integration functionality, competitive solutions, it management, data management, best practices, business analytics
    
By: IBM     Published Date: Oct 17, 2014

According to a study from the Aberdeen Group, the number of companies starting initiatives for collaboration has doubled in the last two years. Their research indicates that collaborating with customers and collaborating with partners are both in the top five actions being taken by survey respondents.

Tags : internal collaboration, b2b collaboration, visibility, globalization, data management, best practices, business analytics, business management
    
By: HP     Published Date: Oct 15, 2014

Just “keeping the lights on” in the server room is highly complex and largely inefficient. Maintaining IT infrastructure, system interdependencies, and application interoperability tie up valuable personnel and resources. The old way of simply throwing more hardware capacity at a problem can only serve to increase the complexity and further dampen productivity. In a perfect world, the infrastructure—hardware and software—would have been built as an integrated but scalable unit from the ground up. In our world, though, the best new systems combine independent pieces of IT infrastructure to form simplified computing platforms, freeing up IT to focus on business innovation rather than infrastructure management. Welcome to the new world of IT.

Tags : virtualization, data center, cloud, infrastructure, red hat, integrated, optimization, solution
    
By: HP     Published Date: Oct 15, 2014

Integrated Computing (IC), also known as Converged Infrastructure, stands to revolutionize everything about IT. IC takes all of virtualization, storage, networking, and compute into a single system and allows total infrastructure oversight through one console. As you can imagine, the improvements in ease of use, agility, and efficiency are quite substantial. This is essential because infrastructure maintenance devours about three-fourths of annual IT budgets. IC changes all of that, delivering high efficiency solutions for the lifecycle of system,reducing costs and freeing up valuable personnel. The evolution of IT awaits.

Tags : virtualization, data center, cloud, infrastructure, red hat, integrated, optimization, solution
    
By: HP     Published Date: Oct 15, 2014

Overcoming IT’s operational challenges based on infrastructure complexity is a serious issue.Not only is a piecemeal architecture difficult and inefficient to manage, but it is also very expensive when the Total Cost of Ownership is considered. Reducing that complexity not only frees up personnel but also budgetary resources. Converged Infrastructure offers the opportunity for organizations to drastically increase their IT and user productivity at a significantly lower TCO. Improved IT efficiency and agility accelerates time to value by a significant margin. See a simpler, more efficient infrastructure here.

Tags : virtualization, data center, cloud, infrastructure, red hat, integrated, optimization, solution
    
By: IBM     Published Date: Oct 14, 2014

Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.

Tags : it trends, data center strategies, cloud computing, mobile technology, it management, data management, business intelligence
    
By: IBM     Published Date: Oct 14, 2014

This white paper explores IBM’s vision for the next-generation data center, its potential to be truly revolutionary and the prescribed pathway for getting there.

Tags : service optimization, software defined environment, next-generation data center, data management, business analytics, business intelligence
    
By: CenturyLink     Published Date: Oct 10, 2014

Doing Big Data and NoSQL in the public cloud sounds great, but at some point, someone has to write a check to make it happen. Is there a strong financial argument for making this move? Can you start small and grow larger easily? This paper answers this question with a detailed Total Cost of Ownership (TCO) analysis for open source data management in the public cloud. Contrasting cloud deployments on the standard vs hyperscale CenturyLink Cloud stack Powered by Intel Cloud Technology, versus the on-premise analogue, the paper models the relative financial merits of each approach. The paper considers the best potential use cases for on-premise versus cloud and walks through an example use case to show the impact to business outcomes (time to results, cost, TCO). Cost factors compared include:

Tags : total cost ownership, big data, public cloud, security, protection, administrative personnel, data management, data center
    
By: CenturyLink     Published Date: Oct 10, 2014

Enterprises that run big data in the public cloud can achieve many of the benefits common to any cloud deployment, including lower costs, greater flexibility, and faster deployments. And now, with the Cloudera Enterprise Data Hub in the CenturyLink Cloud, enterprises can do even more. This paper highlights the performance benefits and other advantages of combining Cloudera’s expertise in large-scale data management and analytics with CenturyLink Cloud’s high-performance Hyperscale solution. Why Cloudera on CenturyLink Cloud? • Faster time to insight • Scalable data management • On-demand processing power and flexible deployments • Greater efficiency for increased cost savings

Tags : big data, performance, enterprises, flexibility, lower costs, public cloud, data management, data center
    
By: CareCloud     Published Date: Oct 09, 2014

Watch this on-demand webinar to learn how one scenario can help get the most from its PM and EHR.

Tags : carecloud, pm and ehr, boost revenue, ehr too expensive, practice ehr, revenue cycle management, ehr installation, system implementation
    
By: OpenText     Published Date: Oct 08, 2014

Digital capture is a key enabling technology in a business world striving to balance the shifting advantages and requirements of paper and digital documentation. This paper takes a closer look at the technology behind data capture, explaining some of the sub-technologies involved and highlighting the key challenges presented by data capture in the enterprise.

Tags : opentext, ecm, data capture technology, digital documentation, sub-technologies, enterprise, data capture, it management
    
By: HP     Published Date: Oct 07, 2014

So far, most data centers have virtualized their least-critical workloads as a matter of basic cost containment. Virtualizing mission-critical applications is still forthcoming for the majority,though, largely due to infrastructural concerns. Complicating matters is the shift in IT purchasing decisions from IT to business management. Integrated Computing Platforms (ICPs), private cloud computing, and public cloud services all leverage virtualization to achieve a number of IT and business goals, including increased ROI, reduced OpEx, and business process improvement. Now more than ever, it makes sense to explore the benefits of ICPs. Find expert data center considerations here.

Tags : virtualization, data center, cloud, infrastructure, integrated, optimization, solution, it management
    
By: Verint     Published Date: Oct 07, 2014

Quality assurance remains an essential and mission-critical business function that must be done on a consistent basis. Speech and text analytics alters and enhances the process by giving companies a way to review as much as 100% of their interactions on a timely and consistent basis. Now that there is a more scientific, accurate and cost-effective way to do QA, it’s time for companies to update and invest in these programs with new technologies and best practices.

Tags : analytic, assurance, power, harnessing, improve, quality, business, interaction
    
By: Verint     Published Date: Oct 07, 2014

For nearly 30 years, contact center quality monitoring has been an established process, performed essentially the same way by many—if not most—organizations. But much has changed in three decades. Today’s customers have become the final arbiters of what constitutes quality by virtue of the collective power of social media, and traditional quality metrics may no longer align with what consumers actually want or expect. What challenges does this pose to traditional quality monitoring programs? And how can contact centers evolve their quality monitoring and assurance processes to meet these new challenges?

Tags : quality, next steps, management, decade, customers, challenges, monitoring, assurance
    
By: ClearStory     Published Date: Oct 07, 2014

When it comes to “big data,” Gartner boils it all down to “value.” In their 2014 Cool Vendors for Big Data report, ClearStory Data was among 4 companies profiled. According to Gartner, ClearStory is “for companies looking at big data business intelligence and analytics from a data variety perspective.”

Tags : big data, value, business intelligence, analytics, data variety, data management, data center
    
By: ClearStory     Published Date: Oct 07, 2014

Why be bogged down by different analysis solutions for different data types and sources, when a single solution can give you direct access and blending, of all your data, wherever it is? Get the paper and find out more.

Tags : data harmonization, analysis solutions, data types, collaboration, data management, data center
    
By: ClearStory     Published Date: Oct 07, 2014

Written by Stephen McDaniel, Chief Data Officer, Freakalytics, Learn why Data Intelligence is the new way. Easy access, quick answers, more data, more people.

Tags : data analysis, chief data officer, data intelligence, easy access, freakalytics, data management, data center
    
By: ClearStory     Published Date: Oct 07, 2014

Organizations are more data hungry than ever. Thanks to advances in machine learning and semantic processing, they can now gain new insights from that data. ClearStory Data helps business users gain new insights into their markets and the environments in which they operate.

Tags : data hungry, semantic processing, insight, market enviornment, data management, data center
    
By: IBM     Published Date: Oct 06, 2014

IBM’s Social Media Analytics solution helps your company take advantage of everything social media has to offer in terms of getting closer to your customers, combining social media analysis and reporting with IBM SPSS predictive analytics technology.

Tags : social media, advanced analytics, customer insight, social media analytics, knowledge management, business activity monitoring, business analytics, business integration
    
By: cPacket Networks     Published Date: Oct 02, 2014

The modern applications delivery environment is distributed and dependent on data centers and network connectivity. Therefore, users are increasingly dependent on consistent network performance for day-to-day activities. Learn what pitfalls a business should avoid when implementing a network monitoring solution.

Tags : cpacket, cpacket networks, data center, network intelligence, network performance, application delivery, cloud computing, cloud network
    
By: IBM     Published Date: Oct 01, 2014

Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next. The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.

Tags : data integration, customer loyalty, customer service, big data, data management, best practices, business analytics, customer relationship management
    
By: IBM     Published Date: Oct 01, 2014

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.

Tags : mdm, big data, master data, data solutions, data management, business analytics, business intelligence, project management
    
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