process discovery

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Published By: Riverbed     Published Date: Jul 17, 2013
Effective IT planning and decision making are dependent upon having a complete asset inventory and an accurate understanding about dependencies available before, during and after IT change activities. Application discovery and dependency mapping (ADDM) solutions automate the process of discovering and mapping transactions and applications to the underlying infrastructure and application interdependencies. Learn how Riverbed Cascade’s built-in application discovery and dependency mapping capabilities can help you shorten project times and mitigate risk.
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effective it, addm, application discovery, riverbed cascade
    
Riverbed
Published By: Lenovo     Published Date: Jul 07, 2015
"Lenovo® XClarity™ is a new centralized systems management solution that helps administrators deliver infrastructure faster. This solution integrates easily into Lenovo System x® M5 and X6 rack servers and the Lenovo Flex System™ — all powered by Intel® Xeon® processors — providing automated discovery, monitoring, firmware updates, configuration management, and bare metal deployment of operating systems and hypervisors across multiple systems. Lenovo XClarity provides automated resource management with agentless, software virtual appliance architecture. It features an intuitive graphical user interface. Download now to find out more about Lenovo XClarity! Sponsored by Lenovo® and Intel®"
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lenovo, xclarity, server value, system management, automated discovery, configuration management, software development, it management, knowledge management, enterprise applications
    
Lenovo
Published By: Lenovo - APAC     Published Date: Oct 11, 2018
While many organizations have acknowledged the importance of digitally transforming their businesses and processes to deliver speed and agility, most are just starting their cloud journey. Cloud-in-a-Box delivers an enterprise cloud platform with a mix of on- and off-premises private cloud and public cloud, with orchestration between them. This will provide the organization with the ability to avoid vendor lock-in, find the optimal cloud services for a particular business or technical need, and increase redundancy. Download IDC Infobrief on “Cloud-in-a-Box” to understand: • How you can deliver the different functions of a data center and meet business requirements by deploying a “Cloud-in-a-Box.” • Understand how industries such as financial services, manufacturing and healthcare can benefit from “Cloud-in-a-Box” technology. • Self-discovery questions and focus areas that every organization needs to go through for successful cloud deployment.
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Lenovo - APAC
Published By: Lucidchart     Published Date: Nov 28, 2018
Does it take forever for your sales team to close deals? There’s a potential roadblock you may have missed: your internal sales communication. Take a look around—new sales reps are overwhelmed with processes and messaging during onboarding, your sales reps don’t pass discovery information off to sales engineers or customer support, and you aren’t always sure where deals stand, which makes it rather difficult to predict pipeline. If the members of your org aren’t completely aligned, you can’t take a prospect across the finish line or keep the org running smoothly. Download this eBook to see how visuals can solve these communication breakdowns and align your sales organization to close bigger and faster.
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Lucidchart
Published By: IBM     Published Date: Oct 19, 2017
The Smarter Process platform is IBM’s solution for reinventing business operations in a way that infuses every process with intelligence and expertise to deliver greater customer centricity, which in turn fuels top-line growth. It incorporates Business Process Management, Case Management, Operational Decision Management and Process Analytics, along with Process Discovery and Design with an objective of ensuring that customers find it easy to do business and that every interaction includes positive touch points. Within the context of this new imperative, accessing cloud efficiencies, leveraging mobile for greater engagement, mining big data for insights, and enhancing customer relationships via social media, are proving to be critical and interrelated strategies.
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customer engagement, mobile, social, bpm, case management
    
IBM
Published By: IBM     Published Date: Jun 04, 2018
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
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data analysis, data analytics, dashboards
    
IBM
Published By: IBM     Published Date: Jun 25, 2018
Vast resources of data are increasingly available, but the sheer volume can overwhelm human capability. By implementing the cognitive system of IBM Watson Discovery into their infrastructure, businesses can extract deeper and more accurate insights by efficiently identifying, collecting and curating structured and unstructured data. Watson Discovery, also capable of creating content collections and custom cognitive applications, can transform organizational processes to extend proprietary content and expert knowledge faster and at greater scales. Read more to learn how Watson Discovery can keep your organization evolving ahead of the competition. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: Promisec     Published Date: Mar 20, 2012
One of the greatest challenges to enforcing IT security and compliance lies at the endpoints, especially within Microsoft infrastructures. Learn how agentless technology has become mandatory in seeing, analyzing, and fixing Windows endpoint issues.
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endpoint, endpoint management, endpoint control, compliance, it compliance, security, security compliance, agentless, microsoft, windows, registry keys, windows registry, windows processes, windows services, agent, desktop management, windows registry, asset discovery, asset management, asset inventory
    
Promisec
Published By: DataFlux     Published Date: Jan 07, 2011
This white paper introduces and examines a breakthrough platform solution designed to drive parallel-process data integration - without intensive pre-configuration - and support full-lifecycle data management from discovery to retirement.
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dataflux, enterprise data, data integration, configuration, lifecycle data management, data warehouses
    
DataFlux
Published By: Code42     Published Date: Apr 22, 2016
Rapid changes in technology and software, and the nearly universal shift to electronically stored information (ESI), has made eDiscovery more complex and expensive. In a movement to simplify and standardize their procedures—and dissolve some of the extra tensions surrounding litigation—many organizations are bringing phases of the eDiscovery process in house, in particular legal hold. Among other benefits, Code42 eDiscovery simplifies legal hold management. Litigation preparation can be a large task crossing over many departments, but will consistently feature two main players: Legal and IT. This document focuses on those two groups, and aims to enable one to see the eDiscovery world through the point of view of one group—or the other. Read more to find out the details.
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code 42, legal process, ediscovery, litigation issues, enterprise applications
    
Code42
Published By: SAS     Published Date: Jun 27, 2019
In the quest to understand how a therapeutic intervention performs in actual use – in real medical practice outside the controlled environment of clinical trials – many life sciences organizations are stymied. They rely on one-off processes, disconnected tools, costly and redundant data stores, and ad hoc discovery methods. It’s time to standardize real-world data and analytics platforms – to establish much-needed consistency, governance, repeatability, sharing and reuse. The organizations that achieve these goals will formalize their knowledge base and make it scalable, while significantly reducing turnaround times, resources and cost. Learn the seven key components for putting that structure to real-world evidence – and four ways to take it to the next level.
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SAS
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, oracle e-business suite, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, jd edwards, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification, enterprise applications, data management
    
IBM
Published By: Trend Micro, Inc.     Published Date: Apr 29, 2009
Information technology (IT) security is indispensable to an organization's ability to conduct business and achieve its objectives. Security requirements affect almost every business process and system, and successful security measures help protect a business’ brand value, stakeholder confidence, risk management strategies, and compliance status. Requirements vary among industries, geographies, and regions, but the need to protect privacy, retain important data, and facilitate e-discovery are common to all. This paper provides an overview of the regulatory landscape and identifies steps to take for defining a flexible compliance strategy.
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trend micro, trend, e-discovery
    
Trend Micro, Inc.
Published By: IBM Watson Health     Published Date: Feb 28, 2017
IBM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
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ibm, watson, watson health, drug discovery
    
IBM Watson Health
Published By: IBM     Published Date: Dec 15, 2016
BM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
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ibm, watson, watson health, drug discovery
    
IBM
Published By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: BlackBerry     Published Date: Jul 23, 2010
Investing in mobility is like investing in any other important business activity, and its success will largely depend on how closely it is aligned with both business and IT drivers. A successful mobility plan should focus on 'mobilizing' your critical business processes and include planning phases for discovery, development and deployment. This Guide focuses on how to build an effective mobility plan while providing valuable insight into the benefits of mobilizing your business applications.
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blackberry, mobility, smartphones, cell phones, mobile workforce, e-commerce, handset, touchpoint
    
BlackBerry
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: IBM     Published Date: Mar 31, 2016
"Colorado-based, Elevations Credit Union has transformed their organizational performance, reducing the average time to fund a home equity loan by 61% and increasing the number of loans that each underwriter handles by 71%. By modeling, analyzing, and improving their existing processes, Elevations has been able to drive out inefficiencies and increase their revenues by delighting their customers. IBM Blueworks Live is the tool that’s been at the heart of Elevations gaining visibility and insight into their existing processes, and helping them drive cross-enterprise engagement and viral cultural change. Carla Wolfe, Senior Business Analyst at Elevations Credit Union will describe their process discovery journey, and how it has led to remarkable changes in their organization. Along the way they've also accumulated several performance awards, including the 2013 Rocky Mountain Performance Excellence PEAK award, and plan to be a 2014 applicant for the prestigious National Malcolm Baldrige
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ibm, middleware, ibm blueworks live, process improvement, organizational performance, cloud, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Apr 08, 2015
Carla Wolfe, Senior Business Analyst at Elevations Credit Union will describe their process discovery journey, and how it has led to remarkable changes in their organization. Along the way they've also accumulated several performance awards, including the 2013 Rocky Mountain Performance Excellence PEAK award, and plan to be a 2014 applicant for the prestigious National Malcolm Baldrige Performance Excellence Award.
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ibm, smarter processes, elevations credit union, blueworks live, cross enterprise, engagement, culture, performance, business technology
    
IBM
Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: Ultimus     Published Date: Aug 16, 2007
By making process discovery easier and on-demand, Adaptive Discovery overcomes a major hurdle to success with BPM and shortens the time it takes organizations to capture the competitive advantages of BPM.
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ultimus, bpm, business process management, automation, process discovery, discovery, adaptive discovery, bpa, productivity
    
Ultimus
Published By: Ultimus     Published Date: Aug 16, 2007
By enabling Adaptive SOA, Ultimus Adaptive Discovery takes SOA to the highest level of rapid deployment and agility. It accomplishes this by enabling business processes to be developed rapidly, and to embrace change in real-time. More importantly, it empowers business professionals and analysts who own processes to discover and change processes with IT playing the supporting role to manage the infrastructure.
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ultimus, bpm, business process management, automation, process discovery, discovery, adaptive discovery, bpa, productivity, adaptive soa, soa, service oriented architecture, service-oriented, enterprise applications
    
Ultimus
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