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Published By: DATAVERSITY     Published Date: Jul 24, 2014
Will the “programmable era” of computers be replaced by Cognitive Computing systems which can learn from interactions and reason through dynamic experience just like humans? With rapidly increasing volumes of Big Data, there is a compelling need for smarter machines to organize data faster, make better sense of it, discover insights, then learn, adapt, and improve over time without direct programming. This paper is sponsored by: Cognitive Scale.
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data, data management, cognitive computing, machine learning, artificial intelligence, research paper
    
DATAVERSITY
Published By: DATAVERSITY     Published Date: Nov 20, 2015
The competitive advantages realized from a dependable Business Intelligence and Analytics (BI/A) are well documented. Everything from reduced business costs and increased customer retention to better decision making and the ability to forecast opportunities have been observed outcomes in response to such programs. The implementation of such a program remains a necessity for any growing or mature enterprise. The establishment of a comprehensive BI/A program that includes traditional Descriptive Analytics along with next generation categories such as Predictive or Prescriptive Analytics is indispensable for business success.
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data, data management, analytics, business intelligence, data science
    
DATAVERSITY
Published By: Ted Hills     Published Date: Mar 08, 2017
Much has been written and debated about the use of SQL NULLs to represent unknown values, and the possible use of three-valued logic. However, there has never been a systematic application of any three-valued logic to use in the logical expressions of computer programs. This paper lays the foundation for a systematic application of three-valued logic to one of the two problems inadequately addressed by SQL NULLs.
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Ted Hills
Published By: DATAVERSITY     Published Date: Jun 14, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate, if needed) the strategic and tactical business drivers every enterprise needs for market success. This paper is sponsored by: ASG, DGPO and DebTech International.
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data, data management, data governance, data steward, dataversity, research paper
    
DATAVERSITY
Published By: CA Technologies     Published Date: Oct 22, 2015
As the interest in managing information and enforcing corporate data management policies increases, data governance programs to manage data sets are becoming more and more vital to the business operation. However, in this rush for data governance programs, sometimes the true utility and importance of metadata can be missed. In this white paper, David Loshin of Knowledge Integrity, Inc. discusses the importance of data governance and the role of metadata management as a way to empower data governance and enforce data policies.
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white paper, metadata, data management, data modeling, david loshin, data governance, data governance strategy
    
CA Technologies
Published By: First San Francisco Partners     Published Date: Sep 03, 2014
This white paper discusses how awareness, ownership and accountability are key to activating and engaging people to adopt new data governance initiatives and the related policies and processes. It provides you with information on how your organization can ensure that the data stewards adopt the new data governance policies and processes.
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data, data management, data governance, data governance program
    
First San Francisco Partners
Published By: First San Francisco Partners     Published Date: Oct 29, 2015
One of the biggest challenges in a data management initiative is aligning different and sometimes competing organizations to work towards the same long-term vision. That is why a proactive approach to aligning the organization around a common goal and plan is critical when launching a data management program.
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First San Francisco Partners
Published By: CA Technologies     Published Date: Dec 03, 2015
This 2nd paper in a 3-part series by David Loshin explores some challenges in bootstrapping a data governance program, and then considers key methods for using metadata to establish the starting point for data governance. The paper will focus on how metadata management facilitates progress along three facets of the data governance program including assessment, collaboration and operationalization.
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CA Technologies
Published By: CA Technologies     Published Date: Feb 25, 2016
As combinations of both internal and externally-imposed business policies imply dependencies on managed data artifacts, organizations are increasingly instituting data governance programs to implement processes for ensuring compliance with business expectations. One fundamental aspect of data governance involves practical application of business rules to data assets based on data elements and their assigned values. Yet despite the intent of harmonizing data element definitions and resolution of data semantics and valid reference values, most organizations rarely have complete visibility into the metadata associated with enterprise data assets.
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CA Technologies
Published By: CMMI Institute     Published Date: Mar 21, 2016
CMMI Institute®’s Data Management Maturity (DMM)SM framework enables organizations to improve data management practices across the full spectrum of their business. It is a unique, comprehensive reference model that provides organizations with a standard set of best practices to assess their capabilities, strengthen their data management program, and develop a custom roadmap for improvements that align with their business goals.
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CMMI Institute
Published By: Innovative Systems     Published Date: Oct 26, 2017
Even after investing significant time and resources implementing a data quality solution, many enterprises find that their data does not effectively support their goals. This white paper shows how to get the most out of your data quality solution by tailoring it to support your business goals.
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Innovative Systems
Published By: DATAVERSITY     Published Date: Dec 23, 2013
Everyone in an organization relies on Metadata to do their jobs. Whenever an email is sent, a report is run, inventory is ordered, compliance procedures are verified, a new IT system is integrated, applications are executed, or essentially any other business function, process, or decision is undertaken, Metadata is facilitating in the background. If that Metadata is corrupt, missing, redundant, or unpredictable then they cannot do their jobs well, they cannot trust the data they are using, and the organization ultimately suffers at all levels. Data Stewards are the people who are use, define, cleanse, archive, analyze, and share the data that is mapped directly to the Metadata of their myriad database and application systems. If your organization does not have Data Stewards (or an inefficient Stewardship Program), you need them. This paper is sponsored by: ASG.
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DATAVERSITY
Published By: First San Francisco Partners     Published Date: Nov 20, 2013
One of the biggest challenges in a data management initiative is aligning different and sometimes competing organizations to work towards the same long-term vision. It is very difficult to execute a data management program all at once, or as a “big bang” approach. Rather, the program should be deployed in phases over time, starting in one area and incrementally building out and adding value to the rest of the organization over time.
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data, data management, enterprise information management, enterprise data management, white paper
    
First San Francisco Partners
Published By: ASG     Published Date: Jun 10, 2013
Everyone in an organization relies on Metadata to do their jobs. Whenever an email is sent, a report is run, inventory is ordered, compliance procedures are verified, a new IT system is integrated, applications are executed, or essentially any other business function, process, or decision is undertaken, Metadata is facilitating in the background. If that Metadata is corrupt, missing, redundant, or unpredictable then they cannot do their jobs well, they cannot trust the data they are using, and the organization ultimately suffers at all levels. Data Stewards are the people who are use, define, cleanse, archive, analyze, and share the data that is mapped directly to the Metadata of their myriad database and application systems. If your organization does not have Data Stewards (or an inefficient Stewardship Program), you need them.
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asg, data, data management, data governance, white paper, dataversity, data steward, metadata
    
ASG
Published By: Embarcadero     Published Date: Feb 28, 2013
A recent Data Governance Benchmarking Survey reported that only 23% of organizations have a reasonable command of data compliance. A shockingly low number. We as data professionals cannot solve the problem alone.
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white paper, dataversity, data governance, karen lopez, embarcadero, data management
    
Embarcadero
Published By: Embarcadero     Published Date: Apr 02, 2014
IT professionals in organizations developing an enterprise data modeling program may feel overwhelmed at the scope and complexity of initiating new methods, tools, and techniques. Whether their organization is just starting out or experienced in enterprise data modeling efforts, there are certain pitfalls that can become obstacles to success. This paper looks at the benefits of an effective enterprise data modeling effort and discusses seven common mistakes that organizations can make in developing enterprise data models.
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Embarcadero
Published By: DATAVERSITY     Published Date: Jun 17, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate,if needed) the strategic and tactical business drivers every enterprise needs for market success.
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research paper, data, data management, data governance, data steward
    
DATAVERSITY
Published By: Google Apigee     Published Date: Feb 05, 2019
Application programming interfaces, or APIs, are the way software talks to other software—so by definition, they’re a technology that connects systems. Many enterprise leaders think of them primarily in these terms. For example, 57 percent of respondents to Google’s enterprise digital maturity assessment tool, Apigee Compass, characterize APIs as systems integration technology.
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Google Apigee
Published By: Rackspace     Published Date: Feb 01, 2019
Rackspace Quick Start for Google Cloud Platform helps enterprises expedite their migration to Google Cloud using proven design, automation, and migration methodologies—all executed by Rackspace experts who have deployed more than a million applications into the cloud. By partnering with your company’s cross-functional leaders, our professional adoption team will fast-track your journey to the cloud—typically moving your first application(s) to the cloud within the first few weeks of the program. This annual review includes an assistance with a disaster recovery (DR) simulation, audit of patch levels, and upl eveling the deployment tools to ensure they align with the infrastructure that may have evolved since deployment.
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Rackspace
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Australian businesses have long been recognised as leaders in the adoption of cloud services and the migration of core infrastructure to cloud platforms. Yet as ambitious ‘cloud-first’ programs are executed, performance and complexity issues have led many organisations to embrace the middle ground – a hybrid IT solution combining public cloud and on-premises infrastructure. Fast-growing hyperconverged infrastructure (HCI) platforms are increasingly being recognised as an ideal enabler for this strategy, with a software-based design that combines robust computing infrastructure with a high degree of centralisation, integration, flexibility, and analytics-based monitoring and manageability. Read how companies such as Beam Suntory have redefined enterprise architecture and learn more about the way an integrated hyperconverged infrastructure can help you build the right infrastructure for the future.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Larsen & Toubro Infotech     Published Date: Jan 24, 2019
All native and ‘transitioning’ media companies are focusing heavily on content to save existing businesses, or building new business models, or both. Television broadcasters, wary of the growing cord-cutting, are spending large sums on premium content. In 2017, the top four media companies spent more than USD 34 billion on original and acquired non-sports programming. Pure-play OTT providers have, on the other hand, bet big on content to shore up on subscribers. Netflix alone spent more than USD 6 billion on content last year, while spend was USD 7 billion for Amazon and Hulu combined. Transitioning media companies, such as telecom and technology companies that are moving towards being a media company, are also allocating sizable funds for content in their quest to explore supplementary businesses, by boosting customer engagement on their platforms. Apple and Facebook have started creating their own original content, and spend is only going to expand further.
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Larsen & Toubro Infotech
Published By: HotSchedules     Published Date: Jan 17, 2019
Founded in 2011 by entrepreneurs Allen Reagan and Walt Powell, Flix Brewhouse is the world’s only first-run movie theatre and fully functioning microbrewery. The operation faced some challenges as the business grew including a lack of of structured training program and disengaged training sessions. With the help of Clarifi Talent Development Flix Brewhouse was able to turn it all around. With a fully functioning training program, Flix Brewhouse now has 71 custom training courses with increased sales and improved service times. With 660 active users in their online training academy, they are able to maintain high-quality service for their customers. Learn how they do it!
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HotSchedules
Published By: Engage2Excel     Published Date: Feb 11, 2019
Looking for a way to drive measurable improvements in performance for your company? Consider these 7 steps for turning employee recognition into bottom-line results.
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Engage2Excel
Published By: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers want to cut costs without affecting the quality of coverage available to employees. HR leaders need to provide great benefits that attract talent, but they also need to slow the rising tide of healthcare costs at the same time. In this whitepaper, you’ll see three examples of how benefit teams have cut benefits spending without cutting benefit programs. • The potential savings available with telemedicine programs • The surprising ROI of fertility coverage and care • Best practices for evaluating and implementing onsite clinics
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Artemis Health
Published By: Artemis Health     Published Date: Feb 05, 2019
Artemis Health teamed up with Employee Benefit News to research the current “benefits landscape.” We surveyed self-insured employers to find useful trends, interesting stats, and info on what leaders like you are doing to improve their benefits strategy. In this whitepaper, you'll discover: • Regional differences in benefits offerings and priorities • What benefit leaders believe they can accomplish with benefits data analytics • The features and functionality your peers are looking for when they evaluate a data solution
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Artemis Health
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