process management

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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: 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: 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 Q1'18     Published Date: Dec 21, 2017
Are you ready to tackle Business Process Management (BPM) for your enterprise? Do you want to improve efficiency, enhance agility, and also be more profitable? If so, you’ve come to the right place. BPM is an approach toward managing how an organization operates so it better meets the needs of clients. BPM enables organizations to be more efficient and more capable of change. BPM is exactly what your organization needs to meet the challenges of the modern business climate.
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bpm, business process management, business climate, operation
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
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business content, volume, cloud-based, enterprise content management, ecm
    
Group M_IBM Q1'18
Published By: Cornerstone OnDemand     Published Date: Jan 03, 2018
90% of employees think annual reviews aren’t accurate, so how can managers flip the script and deliver more meaningful, growth-focused performance evaluations? Download “Reap What You Sow: How Fostering a Culture of Ongoing Performance Reviews Drives Growth” to learn why making performance management a continuous process, not a yearly or semi-yearly one, leads to more revenue and a more powerful workforce. This guide will show you: • Why you should make performance reviews ongoing • How to align employee goals with the organization’s vision • The positive impact training has on the bottom line Check out the guide today and learn additional best practices for creating a performance management culture! Let me know if you have any questions.
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Cornerstone OnDemand
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
    
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: 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
Published By: Cherwell Software     Published Date: Apr 07, 2016
Curves® and Jenny Craig® operate 7,000 Curves clubs and franchises globally and 400 Jenny Craig locations supported by IT service desks in California, Texas, and Australia. The two organizations combined to form Curves Jenny Craig in November 2013. Outdated systems, known internally as “the black hole,” plagued Jenny Craig with inefficient processes and created a lack of accountability. For example, records could not be categorized or prioritized properly, tracked by date or owner, and they could be intentionally hidden in an ambiguous status. Without visibility, Jenny Craig had no way to quantify the impact of their customer service. Mary Carter, manager of IT service, summed it up, “We had no reporting prior Cherwell Service Management.” Curves was in even worse shape as they logged tickets in an Excel® spreadsheet.
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best practices, customer support, business intelligence, business optimization
    
Cherwell Software
Published By: Commvault     Published Date: Jul 06, 2016
Around-the-clock global operations, data growth, and server virtualization all together can complicate protection and recovery strategies. They affect when and how often you can perform backups, increase the time required to back up, and ultimately affect your ability to successfully restore. These challenges can force lower standards for recovery objectives, such as reducing the frequency of backup jobs or protecting fewer applications, both of which can introduce risk. High-speed snapshot technologies and application integration can go a long way toward meeting these needs, and they have quickly become essential elements of a complete protection strategy. But snapshot copies have often been managed separately from traditional backup processes. Features like cataloging for search and retrieval as well as tape creation usually require separate management and do not fully leverage snapshot capabilities. To eliminate complexity and accelerate protection and recovery, you need a solution
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commvault, intellisnap, netapp, backup, recovery, data growth, server virtualization, data protection
    
Commvault
Published By: Commvault     Published Date: Jul 06, 2016
Email is the backbone of today’s corporate business processes. It lives as the primary communication vehicle internally between employees and externally with customers, vendors, partners and investors. It is arguably today’s most pervasive and critical business application within which is stored the most valuable business content. To protect this vital information while working to eliminate risk, lower management costs and improve business insight, companies require a comprehensive email archiving solution. This solution should not only work to effectively retain email information in a searchable repository, the best email archiving solutions also provide a smarter approach to collecting, retaining and accessing data so that it can deliver true business value.
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commvault, email archiving, data protection, email archiving solution, mailbox archiving, reduce bloat, o365, it management
    
Commvault
Published By: Cisco     Published Date: Jun 21, 2016
The demands on IT today are staggering. Most organizations depend on their data to drive everything from product development and sales to communications, operations, and innovation. As a result, IT departments are charged with finding a way to bring new applications online quickly, accommodate massive data growth and complex data analysis, and make data available 24 hours a day, around the world, on any device. The traditional way to deliver data services is with separate infrastructure silos for various applications, processes, and locations, resulting in continually escalating costs for infrastructure and management. These infrastructure silos make it difficult to respond quickly to business opportunities and threats, cause productivity-hindering delays when you need to scale, and drive up operational costs.
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Cisco
Published By: Pega     Published Date: May 25, 2016
Organizations are constantly turning to IT solutions to streamline their operations and processes and gain efficiencies. Business Process Management solutions is one area gaining traction inside enterprises as they look to making their workflow more effective and more capable to an ever changing business environment. According to Gartner, BPM-platform-based case management frameworks are configurable "apps" meant to help solution architects accelerate the delivery of unique and flexible case management solutions. Gartner evaluated 11 providers in this growing market segment including Pegasystems. Download this Gartner Magic Quadrant analysis for BPM platform-based case management frameworks and gain a better understanding of the solutions offered by each BPM vendor.
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business optimization, business strategy, network management, business applications, best practices, business process management, solutions
    
Pega
Published By: Pega     Published Date: May 25, 2016
Adapting to changing market dynamics is not easy for any enterprise-class organization. To stay competitive, companies not only must adapt different go to market and customer service strategies but also embrace internal business process and workflow changes, which in many cases can be more difficult. Enter Intelligent Business Process Management Suites (iBPMS). According to Gartner, iBPMS compress the observation-to-action-to-outcome cycle, and help business transformation leaders, business process directors and solution architects establish a fluid capability to handle big change. Gartner evaluated 15 iBPMS vendors including Pegasystems. Download this Gartner Magic Quadrant analysis and gain a better understanding evolving iBPMS market and the solutions offered by each iBPMS vendor.
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business optimization, business strategy, network management, business applications, best practices, business process management, solutions, enterprise management
    
Pega
Published By: Pega     Published Date: May 25, 2016
Case management frameworks built on business process management platforms help IT solutions architects deploy case-handling applications and offer an alternative to specialized case management applications and custom coding. According to Gartner, the complex architecture required to support case management has relegated it to the status of a niche application, typically addressed by specialist, commercial off-the-shelf application providers and system integrators. Case management as a process style is being applied in many sectors beyond government, legal and insurance, including healthcare, banking, higher education and retail. Industry and cross-industry case management frameworks are now available. "Adaptive case management" hype exceeds the reality of what buyers need. Gartner evaluated 12 vendors including Pegasystems against nine critical capabilities in four use cases. Download this Gartner analysis and gain a better understanding of the case management frameworks solutions offe
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business optimization, business strategy, network management, business applications, best practices, business process management, solutions, case management
    
Pega
Published By: Pega     Published Date: May 25, 2016
The shift to digital business continues to gain momentum with no signs easing anytime soon. Smart organizations realize this and are accelerating investments in projects that put digital technologies at the center of their business models. The new requirements of digital transformation are forcing a major change in how companies evaluate and deploy Business Process Management (BPM) platforms and services. In “The Forrester Wave™: BPM Platforms For Digital Business, Q4 2015” report, the research organization used a 31 criteria evaluation process identifying the 12 most significant software providers in the category. Download this Forrester Wave report and gain insight regarding how well each vendor fulfills the criteria and where they stand in relation to each other to help enterprise architecture (EA) professionals select the right partner to manage their business’ critical content.
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digital business, technology, best practices, forrester, enterprise
    
Pega
Published By: Pega     Published Date: May 25, 2016
The customer experience is critical in today’s fast-paced, demanding world. With so many options at the buyer’s fingertips and the rise of social sharing media, one bad customer experience can haunt an organization. According to” The Forrester Wave™: Dynamic Case Management, Q1 2016” report, in order to improve customer experience, firms must tackle the incident process through smart handling of exceptions, applying analytics for context, and offering real-time and mobile interaction. Here is where dynamic case management (DCM) can be a competitive advantage and Forrester identified 14 of the most significant vendors across 21 criteria in this space with Pegasystems among vendors who lead the pack. Download this Forrester Wave report to see the full 21-criteria evaluation of the dynamic case management (DCM) market and gain insight into the 14 most significant software vendors in order to help enterprise architecture (EA) professi
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case management, forrester, dynamics, enterprise
    
Pega
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