process management

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Published By: TD Bank Group     Published Date: Aug 10, 2018
This paper examines whether blockchain distributed ledger technology could improve the management of trusted information, specifically considering data quality. Improvement was determined by considering the impact of a distributed ledger as an authoritative source in TD Bank Group's Enterprise Data Quality Management Process versus the use of standard authoritative sources such as databases and files. Distributed ledger technology is not expected, or proven, to result in a change in the Data Quality Management process. Our analysis focused on execution advantages possible due to distributed ledger properties that make it an attractive resource for data quality management (DQM).
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TD Bank Group
Published By: Couchbase     Published Date: Dec 04, 2014
Interactive applications have changed dramatically over the last 15 years. In the late ‘90s, large web companies emerged with dramatic increases in scale on many dimensions: · The number of concurrent users skyrocketed as applications increasingly became accessible · via the web (and later on mobile devices). · The amount of data collected and processed soared as it became easier and increasingly · valuable to capture all kinds of data. · The amount of unstructured or semi-structured data exploded and its use became integral · to the value and richness of applications. Dealing with these issues was more and more difficult using relational database technology. The key reason is that relational databases are essentially architected to run a single machine and use a rigid, schema-based approach to modeling data. Google, Amazon, Facebook, and LinkedIn were among the first companies to discover the serious limitations of relational database technology for supporting these new application requirements. Commercial alternatives didn’t exist, so they invented new data management approaches themselves. Their pioneering work generated tremendous interest because a growing number of companies faced similar problems. Open source NoSQL database projects formed to leverage the work of the pioneers, and commercial companies associated with these projects soon followed. Today, the use of NoSQL technology is rising rapidly among Internet companies and the enterprise. It’s increasingly considered a viable alternative to relational databases, especially as more organizations recognize that operating at scale is more effectively achieved running on clusters of standard, commodity servers, and a schema-less data model is often a better approach for handling the variety and type of data most often captured and processed today.
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database, nosql, data, data management, white paper, why nosql, couchbase
    
Couchbase
Published By: Trillium Software     Published Date: Apr 10, 2017
For the 11th consecutive year, the Gartner Magic Quadrant for Data Quality Tools1 research report positions Trillium Software as a leader in the Data Quality Software industry. Data Quality is vital to ensuring trust in your data-driven, decision making business processes. Confidence is the result of a well thought out and executed data quality management strategy and is critical to remaining competitive in a rapidly and ever-changing business world. The 2016 Gartner Magic Quadrant for Data Quality Tools report is a valuable reference, providing the latest insights into the strengths and cautions of leading vendors. Access the report to learn how a leading data quality solution can help you achieve your long-term strategic objectives.
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Trillium Software
Published By: Silwood Technology     Published Date: Mar 02, 2016
Ever since organisations started to implement packaged software solutions to solve business problems and streamline their processes there has been a need to access their data for the purposes of reporting and analytics, integration, governance, master data and more. Information Management projects such as these rely on data professionals being able to understand the underlying data models for these packages in order to be able to answer the critical question “Where’s the data?”. Without this knowledge it is impossible to ensure accuracy of data or timely delivery of projects. In addition the lack of discovery tools designed to meet this challenge has meant that performing this task has commonly been frustrating, time-consuming and fraught with risk. This white paper offers insight into why the traditional methods are not effective and how an innovative software product from Silwood Technology provides a faster and more effective approach to solving the problem.
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Silwood Technology
Published By: Deloitte Process Robotics     Published Date: May 04, 2018
Deloitte Process Robotics (DPR) solutions use a lightweight approach to train ‘bots’ that automate repetitive tasks of medium complexity without changes to existing process or IT infrastructure. With ever-growing repositories of unanalyzed and underutilized data, organizations require highly flexible and scalable enterprise data management (EDM) processes, DPR makes it possible for organizations to adopt comprehensive yet affordable EDM processes in the Big Data Era, helping organizations transform data into strategic assets through the automation of capabilities.
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Deloitte Process Robotics
Published By: TopQuadrant     Published Date: Jul 18, 2016
With information streaming in from more varied sources and at a faster pace than ever before, organizations are having an increasingly difficult time deriving accurate meaning from their data. Data governance systems that were once able to organize and process enterprise information are becoming too slow and limited.   Semantic information management makes it easier to reconcile data from different sources by compiling and organizing information about that data, its metadata. By connecting all kinds of data and metadata in a more accessible way, semantic information systems empower users, data stewards and analysts to unlock and use the true meaning and value of their organization’s data.     Learn more about the challenges in the evolving data landscape and how a semantic approach can help.
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TopQuadrant
Published By: TopQuadrant     Published Date: Aug 01, 2016
With information streaming in from more varied sources and at a faster pace than ever before, organizations are having an increasingly difficult time deriving accurate meaning from their data. Data governance systems that were once able to organize and process enterprise information are becoming too slow and limited. Semantic information management makes it easier to reconcile data from different sources by compiling and organizing information about that data, its metadata. By connecting all kinds of data and metadata in a more accessible way, semantic information systems empower users, data stewards and analysts to unlock and use the true meaning and value of their organization’s data. Learn more about the challenges in the evolving data landscape and how a semantic approach can help.
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TopQuadrant
Published By: Basho     Published Date: Nov 25, 2015
The landscape of Scalable Operational and Analytical Systems is changing and disrupting the norm of using relational databases for all workloads. With the growing need to process and analyze Big Data at Scale, the demand for alternative strategies has grown and has given rise to the emergence of NoSQL databases for scalable processing. Mike Ferguson, Managing Director of Intelligent Business Strategies, is an independent IT Analyst who specializes in Big Data, BI/Analytics, Data Management and Enterprise Business Integration. In this whitepaper he will discuss the movement towards NoSQL databases for scalable operational and analytical systems, what’s driving Big Data analytics from Hadoop to the emergence of Apache Spark, the value of operational analytics and the importance of in-memory processing, and why use Apache Spark as your in-memory analytical platform for operational analytics.
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Basho
Published By: Semarchy     Published Date: Aug 18, 2016
David Loshin reexamines the way we ingest, manage, consume, and transform data into actionable information and intelligence. Read how this industry expert makes the case for data governance with an unconventional business-first focus. The conventional wisdom on data governance proposes hierarchies, operating models, and processes for data policy definition and implementation. Unfortunately, poorly-designed and minimally-planned data governance processes are ineffective because they are bureaucratic and overwhelming. This is especially true when processes are imposed by fiat, take a long time, and don't result in any short-term improvement in information value. But proper data governance is a critical success factor for master data management! In this paper, we examine the motivations for coupling data governance with master data management and consider how to evolve data policies and processes to position master data management for success.
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Semarchy
Published By: Rubrik EMEA     Published Date: Jan 04, 2019
Rubrik Cloud Data Management is a single, unified software platform to manage your physical, virtual, and cloud data. With Rubrik, enterprises can drastically simplify their data protection processes, automate workflows, and migrate data to the cloud. The results are powerful: faster recoveries, easier management, no forklift upgrades, and hard dollars saved for other projects. Organizations pursuing cloudfirst policies can use Rubrik to archive to the cloud, create cloud DR capabilities, or perform cloud-native backup. And with Rubrik’s Polaris SaaS platform, it has never been easier to unify data across data centers and clouds, simplifying operations and governance. DATA
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Rubrik EMEA
Published By: Black Duck Software     Published Date: Jul 16, 2010
This paper is for IT development executives looking to gain control of open source software as part of a multi-source development process. You can gain significant management control over open source software use in your development organization. Today, many IT executives, enterprise architects, and development managers in leading companies have gained management control over the externally-sourced software used by their application development groups. Download this free paper to discover how.
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open source, development, architects, application development, software development
    
Black Duck Software
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: Infosys     Published Date: Jan 02, 2019
Challenge: A global insurance group wanted to standardize its HR systems for recruitment, on-boarding and talent management for all geographies, while moving from on-premise to cloud. Solution: We harmonized processes across different countries by implementing Oracle Human Capital Cloud in consultation with “challenger groups” drawn from each geography. By creating a solution centrally, and then demonstrating and implementing it globally, we achieved greater standardization, a modernized employee experience, and reduced operational workload for HR and line-management. Outcomes: • Collaborated with stakeholder groups across 50 different entities and 30+ countries to design the HCM solution for the future • Rolled out the new system to over 90,000 employees in 30 countries • Implemented entirely new recruitment system; moved to paperless office for core HR operations • Better ROI by moving to SaaS based model; improved employee experience through personalization and mobile-enabled HCM
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Infosys
Published By: Veeam '18     Published Date: Dec 04, 2018
"The new EU General Data Protection Regulation (GDPR) is the most important change in data privacy regulation in 22 years and it will have a profound impact on every organization that relies on the storage and processing of personal data of EU citizens. Starting May 25, 2018, the penalties begin for noncompliance, with GDPR fines of up to 4% of annual global revenue or 20 million euros - whichever is greater. As this new regulation also impacts Veeam®, we wanted to share our insights on our road to compliancy. In a new executive brief, GDPR: 5 Lessons Learned, Veeam Compliance Experience Shared, we walk through these lessons and share how our software played a critical role within data management and protection strategies to ensure we remain compliant while delivering Availability for the Always On Enterprise™."
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Veeam '18
Published By: Extensis     Published Date: Jun 08, 2010
Metadata Management is the process of ensuring that all metadata associated with a digital asset is captured, organized, stored and made available for use by and within other applications. Metadata Management begins at the moment the digital asset is created by an application or captured by digital imaging.
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metadata, management, extensis, digital asset management', business intelligence
    
Extensis
Published By: Zynapse     Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm, business intelligence, database development
    
Zynapse
Published By: Esker     Published Date: Jan 14, 2019
Are you ready to rid your order management process from the pains of paper? Have you explored the advantages that automation could bring your department and entire company? If so‚ it’s time to sell order processing automation to upper management and other key stakeholders! Read our new white paper to discover how order processing automation in an ERP environment benefits the entire organization with: Cost savings due to fewer IT requirements and manual tasks Complete visibility and control thanks to customizable dashboards Improved employee productivity and customer satisfaction Opportunities to “grow lean” as order volumes increase Start building your business case and impressing top executives with your initiative by downloading the white paper today!
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esker, order processing automations, order management, knowledge management
    
Esker
Published By: Entrust Datacard     Published Date: Aug 10, 2016
Consolidate SSL providers and processes, without interruption, using Entrust SSL management and monitoring services This whitepaper provides a blueprint for migrating to Entrust SSL certificates and related services. It’s based on experiences that help many customers, in a wide variety of environments, bring their SSL certificate management under centralized administration.
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Entrust Datacard
Published By: Dell PC Lifecycle     Published Date: Feb 13, 2018
Traditional PC lifecycle management is an inefficient and expensive process that will cost your business both time and money. Dell EMC’s PC as a Service (PCaaS) will transform your company’s approach to IT infrastructure. The cost of PC lifecycle management can be reduced by up to 25% by using PCaaS. Learn more about Dell solutions powered by Intel®. Intel Inside®. Powerful Productivity Outside.
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productivity, migration, security, support, hardware, software, devices, dell
    
Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Feb 13, 2018
Traditional PC lifecycle management is an inefficient and expensive process that will cost your business both time and money. Dell EMC’s PC as a Service (PCaaS) will transform your company’s approach to IT infrastructure. The cost of PC lifecycle management can be reduced by up to 25% by using PCaaS. Learn more about Dell solutions powered by Intel®.
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productivity, migration, security, support, hardware, software, devices, dell
    
Dell PC Lifecycle
Published By: Box     Published Date: Jun 22, 2018
• Content is among an organization's most critical assets. It flows through every aspect of a company, from people to systems to processes. But as teams grow and the breadth of their content expands, these valuable assets get fragmented across the different tools they use. • What if you had a secure, open platform that connects all your tools in the cloud, allowing you to pull together best-of-breed technologies that fit your unique business needs? These native integrations keep teams happy and give IT full visibility and control, while boosting productivity and collaboration across the entire organization. • Download our ebook to see how Cloud Content Management from Box provides you with a central and secure content layer that unites all of your apps with seamless, native integrations. In it, you'll learn about our most popular integrations — like Microsoft Office 365, Okta, Slack and Salesforce — and how Box helps you future-proof your tech stack while also providing a unified exp
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Box
Published By: Box     Published Date: Jun 22, 2018
• In today's ever-evolving world, content management is a moving target. With content flowing from a multitude of places, keeping up with the speed of business requires a content management strategy that's more flexible than traditional Enterprise Content Management (ECM). • As digital transformation forces organizations to rethink their processes, it's never been more important to focus on deploying a platform that works across all of your content so you can get more value out of each asset and protect yourself against technology stagnation. • Check out our ebook, 5 Considerations For Transforming Your ECM Strategy With Cloud Content Management, and learn how to bring your people and information together in the cloud.
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Box
Published By: Coupa     Published Date: Dec 14, 2018
Business Spend Management Improves Visibility and Control Over Spend for Financial Leaders Closing the books can be a tedious, manual process when accrual balances don’t match AP balances and a backlog of invoices cause an increase in resource hours. Get insight on how Salesforce and Ionis Pharmaceuticals leverage business spend management to streamline the financial close. Read this eBook to learn how to: • Automate spend processes to cut heavy manual workloads • Gain full visibility and control over spend • Move from transactional “spreadsheet jockey” to strategic management • Minimize risk associated with missed accruals
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Coupa
Published By: Coupa     Published Date: Dec 14, 2018
Financial services firms are turning to Business Spend Management (BSM) as a Strategic Solution Beset by competitors and burdened by ever-shifting regulatory requirements, financial services firms are turning to cloud-based technology to gain better control over—and visibility into—spending. In the process, they are becoming fiercer competitors. Download this ebook for insights into how you can improve your organization's financial health and how: A cloud complete-BSM solution can track and measure all purchasing activities, identifying patterns that provide opportunities for negotiating discounts, and better managing risk To increase savings across source-to-contract, procure-to-pay, travel & expense management, as well as risk and supplier management Modern technology enables the finance function to take cost-management to a deeper level—without investing in IT infrastructure
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Coupa
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
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database usage, database management, server usage, data protection
    
Hewlett Packard Enterprise
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