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: Red Hat     Published Date: Aug 22, 2018
What does a digital transformation look like? It varies from organization to organization, of course, since they have invested in countless systems and applications over the years. Digital transformation consists of building new applications and next-generation architectures on today’s open standards, using on-demand resources. For many organizations, digital transformation also means optimizing existing systems and application resources – integrating, replacing, or abstracting key pieces of their infrastructures into services.
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Red Hat
Published By: Red Hat     Published Date: Aug 22, 2018
Unlike surveys that just look at what respondents say at a specific point in time, the BPTrends survey has been asking questions of process practitioners for over a decade. Thus, we are in a good position to generalize about ongoing trends in process work. Broadly speaking, the interest in business process change has evolved slowly. For some organizations the progress has been dramatic, but for most, their process initiatives are best described by the phrase “two steps forward; one step back.” An amazing number of organizations have focused on process work for several years, made significant progress, then, seemingly forgotten all about their process work, regressed, and then, a few years later, started up again.
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Red Hat
Published By: Here Technologies     Published Date: Jul 19, 2018
Businesses worldwide are being pushed to enhance customer service while streamlining costs and processes. This means looking to solution providers to help reduce the operating costs of vehicle fleets. Discover how HERE Technologies is using location services to boost efficiency, safety, and customer satisfaction. This e-book is for everyone who is developing innovative fleet solutions?that overcome management challenges and help customers gain a competitive advantage
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Here Technologies
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: TIBCO Software APAC     Published Date: Aug 13, 2018
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively. Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies. Download this solution brief to learn more.
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TIBCO Software APAC
Published By: Aventri     Published Date: Aug 14, 2018
"Revenue focused executives have four metrics that determine their success or failure: number of opportunities, size of opportunities, win rate, and speed to revenue. All teams work together to make sure that they achieve these goals and that they have the processes in place to optimize around them. Event management software is one piece of the puzzle that is designed to generate revenue. Read this eBook to see how event management software helps to speed up the buying process and win more deals!"
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Aventri
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: IBM     Published Date: Jun 05, 2018
Keeping up with ever changing contract management work is challenging. Governing legal and procurement content is written by thousands of people and applied to hundreds of situations. To stay compliant, organizations employ knowledgeable professionals to analyze every sentence to determine the changes that need to be made to company contracts. The manual process of sifting through these dense, complicated documents is inefficient and prone to error. Watson Compare and Comply is trained on contract specific knowledge and classifications and can streamline contract workflows through semantic understanding. Join Director of Watson Offering Management, Adam Orentrichler, and Chief Data Scientist of SAP Ariba, David Herman, as they discuss how Watson can transform the way your company manages contract governance.
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IBM
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: 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: 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
Published By: Dell EMC     Published Date: Nov 08, 2016
Dell EMC Unity, powered by Intel® Xeon® processors, delivers the ultimate in All-Flash storage simplicity and value to speed deployment, streamline management and seamlessly extend the data storage to the cloud. Unity’s All-Flash platform is simple, modern, exible, and aordable—easy to setup and manage, optimized SSD performance and eciency, includes multiple deployment options, and comes with cloud-enabled storage management to keep you connected.
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ssd, storage, cloud, management, flash optimization, scalability, information management, cloud computing
    
Dell EMC
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