data quality

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Published By: Unitrends     Published Date: Jun 29, 2010
Get past the hype and focus on simply, reliably, and cost-effectively protecting your systems and data.
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unitrends, backup, data protection, data quality, server, replication
    
Unitrends
Published By: Unitrends     Published Date: Jun 15, 2010
In this document we're first going to explore the use of the insurance metaphor in terms of its most fundamental element: the broad consequences of data loss. We'll also discuss industry and regulatory consequences of data loss.
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unitrends, backup, data protection, data quality, server, replication, data loss, sox
    
Unitrends
Published By: Unitrends     Published Date: Apr 12, 2010
The purpose of deduplication is to provide more storage, particularly backup storage, for less money, right? Then wouldn't it be ridiculous if deduplication vendors were demanding that their customers pay more per terabyte of storage? Or if they were simply pushing the task of integrating, monitoring, and managing deduplication back onto their users?
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unitrends, backup, data protection, data quality, server, replication, lossless, lossy, data compression
    
Unitrends
Published By: Unitrends     Published Date: Dec 07, 2009
Backup, despite the breathless hyperbole of many in the industry, is simply a form of insurance. What's important about your backup strategy is getting your systems and data protected in the most effective and affordable manner possible. Speaking plainly - you must be careful that you are in control of your backup strategy rather than your backup strategy (and vendor) being in control of you.
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unitrends, backup, data protection, data quality, server, replication, strategy, virtualization, recovery
    
Unitrends
Published By: Unitrends     Published Date: Mar 30, 2010
Clouds are all the rage right now. And the truth is that cloud-based computing can be a tremendous value. Cloud-based computing is not just an opportunity for a bunch of venture capitalists hanging out at Sand Hill Road, it's a wonderful chance for small and medium businesses to take a step toward aligning their information technology spend to increase their focus on revenue-generating opportunities.
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unitrends, backup, data protection, data quality, server, replication, strategy, virtualization, cloud, business continuity, cloud-based, revenue, recovery
    
Unitrends
Published By: Unitrends     Published Date: May 18, 2010
This tongue in cheek white paper explores data loss from a contrarian point of view - exploring the top 7 shortcuts you can take to ensure that you lose your data. And since a fundamental responsibility of any information technology professional, as well as any C-level executive, is to ensure that the data upon which any company is created is protected - scrupulously following these shortcuts should also ensure that you lose not only your data but your job as well.
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unitrends, backup, data protection, data quality, server, replication, data loss, sox
    
Unitrends
Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
Published By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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SAS
Published By: StrikeIron     Published Date: Oct 03, 2013
Learn how to increase your landing page conversion rate by 10-30% using data validation, which will help you to get the most out of your landing page optimization.
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strikeiron, data quality, data validation, data, daas, data-as-a-service, landing page optimizations, cloud-based, cloud, landing page conversion rates, software development, it management, telecom
    
StrikeIron
Published By: IBM     Published Date: Apr 17, 2013
When it comes to storing data, the concepts of cost-effectiveness and efficiency are often at odds with each other. What we all seek is that elusive deal where we don’t affect the quality of service, yet are able to store a lot more (without spending a lot more). Read this white paper to learn how IBM Real-time Compression provides the data center with the flexibility to increase capacity and maintain performance for all kinds of data, including your most active data.
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storwize, v7000, real-time, compression, features, data, cost-effective, efficiency, quality, service
    
IBM
Published By: Oracle     Published Date: Nov 21, 2013
If you've neglected the advantages of marketing automation software because you think implementation will be complex, read this.
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zenithoptimedia, oracle, eloqua, software implementation, marketing automation, aligning sales and marketing processes, system integration, crm system, lead management, communication issues, automation software, data quality, intelligent integration, employee training
    
Oracle
Published By: Oracle     Published Date: Nov 21, 2013
Modern enterprise businesses need the right IT tools to engage customers online and keep them engaged until they buy. In short, they need marketing automation software.
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zenithoptimedia, oracle, eloqua, software implementation, marketing automation, aligning sales and marketing processes, system integration, crm system, lead management, communication issues, automation software, data quality, intelligent integration, employee training, customer engagement, customer relationships, lead nurturing, performance reporting
    
Oracle
Published By: IBM     Published Date: Jan 09, 2014
According to Dr. Barry Devlin of 9sight Consulting, the truth behind all the talk about big data and the possibilities it can offer is not hard to see, provided that organizations are willing to return to the principles of good data management processes.
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ibm, big data, 9sight consulting, data, it management, maximize business, deployment, business opportunities, big data usage, data warehouse, data center, business analytics, big data offerings, core business data, analytic data, puredata system, data virtualization, data integration, data types, data quality
    
IBM
Published By: IBM     Published Date: Jul 13, 2015
This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources.
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crm cloud solution, salesforce, user productivity, data enrichment, security, data quality, customer data search, customer relationship management
    
IBM
Published By: IBM     Published Date: Jul 13, 2015
This ebook explores how an enhanced 360-degree view of the customer optimizes and facilitates more personalized customer interactions.
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customer centric organizations, crm, customer usability, personalized interactions, big data, data quality, data management
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management, storage, data management
    
IBM
Published By: IBM     Published Date: May 12, 2015
Creating more person-centric, coordinated and value-based care means all service providers must share risks and data, conducting business with partners that cross traditional boundaries, while data is transforming this industry at an unprecedented pace. Watch this webcast to learn more of how organizations are optimizing their business processes to lower costs, analyzing data to improve quality, care, and population health, while learning to engage in new ways to drive better outcomes.
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risk, data, service provider, healthcare, optimization
    
IBM
Published By: Jigsaw     Published Date: Apr 07, 2011
Do you feel like you are rolling the dice every time you buy a new prospect list? How do you know that the money you spend on a new list is a good investment or not?
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jigsaw, gen, business data, awareness, leads, sales, targeting b2b, b2b, leads, data leads, quality data
    
Jigsaw
Published By: SugarCRM     Published Date: Nov 20, 2013
Organizations are frequently turning to SaaS solutions for their CRM needs. But there are risks when deploying any solution at scale, especially if you select the wrong vendor. Understand how to make the smart choice for your CRM solution in this informative eBook.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SugarCRM     Published Date: Dec 05, 2013
When making a CRM decision, it is important to ensure your deployment will not be hit with hidden fees or other extra costs that reduce the return on investment. This study reveals the total cost of ownership (TCO) among the four leading midmarket CRM solutions.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SugarCRM     Published Date: Jan 27, 2014
When making a CRM decision, it is important to ensure your deployment will not be hit with hidden fees or other extra costs that reduce the return on investment. This study reveals the total cost of ownership (TCO) among the three leading midmarket CRM solutions.
Tags : 
crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SugarCRM     Published Date: Jan 27, 2014
What if you could give everyone that touches customers an indispensable tool that optimizes business process, removes data silos and makes customer interaction extraordinary? See how Redglaze Group uses Sugar to give individuals access to critical data, optimize processes and improve efficiencies.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SugarCRM     Published Date: Jan 27, 2014
Customer relationship management software has been used by organizations of all types and sizes for over 20 years. However, few have managed to tap into the true potential of CRM. Learn how the power of CRM for the individual can transform your entire business.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SugarCRM     Published Date: Apr 08, 2014
CRM has long been seen as a must-have sales tool. However, much of the value of traditional CRM accrues to managers, not the reps that use them daily. Learn how CRM designed for the individual benefits the entire sales organization from increased data quality to more predictable revenue pipelines.
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crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
Published By: SugarCRM     Published Date: Apr 08, 2014
Organizations are frequently turning to SaaS solutions for their CRM needs. But there are risks when deploying any solution at scale, especially if you select the wrong vendor. Understand how to make the smart choice for your CRM solution in this informative eBook.
Tags : 
crm best practices, crm software, customer data management, customer experience & engagement, customer relationship management (crm), lead generation, lead management, lead nurturing, lead quality, lead scoring, sales automation, sales channels, sales force automation, sales management
    
SugarCRM
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