business processes

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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: 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: Paxata     Published Date: Apr 02, 2014
Why Sift Through Data Landfills? Better business insight comes from data - but data is often dirty, incomplete and complicated. As any analyst would admit, what passes for data science is more like janitorial work. Find out why that is - and how you can avoid the painful, manual and error-prone processes that have bogged down the analytics process for 30 years.
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data, data management, big data, white paper, paxata, analytics
    
Paxata
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: Octopai     Published Date: Sep 01, 2018
For many BI professionals, every task can feel like MISSION IMPOSSIBLE. All the manual mapping required to sort out inconsistencies in data and the lack of tools to simplify and shorten the process of finding and understanding data leaves BI groups frustrated and slows down the business. This whitepaper examines the revolutionary impact of automation on the cumbersome manual processes that have been dragging BI down for so long. • Data correction vs process correction • Root-cause analysis with data lineage: reverse-tracing the data flow • Data quality rules and data controls • Automated data lineage mapping
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Octopai
Published By: BackOffice     Published Date: Apr 22, 2018
The success of a business is increasingly influenced by how effectively it utilizes data within strategic decision making & operations. But when a business views its critical data simply as a byproduct of business processes, and doesn’t value it as a business asset, it increases the risk of not being able to achieve its desired outcomes.
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BackOffice
Published By: First San Francisco Partners     Published Date: May 19, 2014
Master data management (MDM) is about people and process; it is not about technology. Implementing MDM technology alone will not address operational and business process challenges. Rather, “mastering” data involves people taking action through established data policies and processes. Data Governance ensures that data in the MDM hub is of high quality and can be trusted by business users. Lacking Data Governance, organizations do not have consistent data definitions or know what constitutes a data problem, who is accountable, what decisions need to be made, or how to escalate and resolve issues.
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white paper, master data management, first san francisco partners, kelle o'neal, dataversity, data governance, mdm, master data management white paper, data governance white paper
    
First San Francisco Partners
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: 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.
Tags : 
research paper, data, data management, data governance, data steward
    
DATAVERSITY
Published By: Avanade DACH     Published Date: Jan 08, 2019
To compete in today’s world, business leaders are placing increased demands on IT. Unfortunately, many IT departments are not able to deliver future innovation with their current infrastructure, applications and processes. To meet these demands, IT must digitally transform the enterprise through the adoption of cloud native practices, allowing them to both optimize and transform their existing infrastructure and applications. Recent Avanade research supports this thinking, finding that 88% of senior IT decision-makers believe that IT modernization is crucial to addressing the emerging requirements of the digital business1 . On the upside, those surveyed also indicated that by modernizing their IT infrastructures they expect to deliver real business results, such as boosting annual revenue by 14%, while at the same time reducing business operating costs by 13%1 . For many, this sounds like a winning strategy but what does it mean to adopt cloud native approaches, and how does it impact
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Avanade  DACH
Published By: Epicor Software Corporation     Published Date: Jan 09, 2019
To Keep Pace With Your Customers and Competitors, It’s Time to Leave Your Legacy Software Behind. Legacy enterprise resource planning (ERP) systems struggle to keep up with the modern pace of business, and they fail to meet the changing needs of your workforce. Can your leaders quickly find and analyze vital data? Are your employees’ tasks and processes straightforward and efficient? Does your ERP software make it easier to support growth? See how manufacturers upgrading to the latest ERP software from Epicor transform their business by delivering the visibility, efficiency, and productivity essential for sustained growth.
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Epicor Software Corporation
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: Group M_IBM Q119     Published Date: Jan 08, 2019
IBM has established a global readiness programme tasked with identifying the key impacts of the GDPR across IBM’s business and preparing IBM’s internal processes and commercial offerings for compliance with the GDPR.
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Group M_IBM Q119
Published By: Epicor     Published Date: Jan 09, 2019
The plan is to move what you currently have onto a platform that gives you new capabilities to better support your transformation goals. Aberdeen Group has found that those who stay up to date with their ERP are, for example, almost three times as likely to have mobile ERP functionality, twice as likely to have integrated ERP and eCommerce, and five times more likely to have social business capabilities.1 Is it time for you to take the next step on your journey by moving to the Epicor ERP system? Consider these questions: XX How much time and money could your business save by eliminating inefficient processes, increasing worker productivity, and improving customer service? XX What goals can you achieve when your core software is integrated with Industry 4 .0 technologies to support the factory of the future? XX What would your business look like if you had real-time information to make informed business decisions that drive growth and profitability?
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Epicor
Published By: Great Bay Software     Published Date: Jan 09, 2019
IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences. But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved? This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides: • 7 best practices for data privacy and security policies • 7 items to consider for device security • 6 key considerations for network connection security
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Great Bay Software
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: NEC     Published Date: Sep 29, 2009
Written by: IDC Abner Germanow, Jonathan Edwards, Lee Doyle IDC believes the convergence of communications and mainstream IT architectures will drive significant innovation in business processes over the next decade.
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it architecture, idc, automation, automated order processing, soa, service oriented architecture, soap, http, xml, wsdl, uddi, esbs, jee, .net, crm, san
    
NEC
Published By: Attivio     Published Date: Aug 20, 2010
Current methods for accessing complex, distributed information delay decisions and, even worse, provide incomplete insight. This paper details the impact of Unified Information Access (UIA) in improving the agility of information-driven business processes by bridging information silos to unite content and data in one index to power solutions and applications that offer more complete insight.
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attivio, data warehouse, unified information, data, content, unstructured content, integration, clob, blob, database development, data warehousing
    
Attivio
Published By: ASG Software Solutions     Published Date: Jun 24, 2008
As IT evolves towards a more business-aligned position, it must seek out new ways of working that support more effective operations, service creation, and service delivery. These include technologies, processes, and a culture that supports higher levels of accountability, as well as more dynamic responsiveness to business needs.
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asg, cmdb, bsm, itil, bsm, metacmdb, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce, bpm, workflow, itsm, critical application, cms, itsm, analytical applications
    
ASG Software Solutions
Published By: ASG Software Solutions     Published Date: Feb 18, 2010
Configuration Management is at the heart of the IT Infrastructure Library (ITIL®) and forms the foundation for Business Service Management (BSM). In fact, it is safe to say that neither the ITIL IT Service Management (ITSM) processes nor the BSM functions that leverage ITSM can be efficiently carried out without accurate configuration and dependency information.
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asg, cmdb, bsm, itil, bsm, metacmdb, asg ddm, cab, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce, bpm, workflow, itsm, critical application, cms
    
ASG Software Solutions
Published By: ASG Software Solutions     Published Date: Mar 10, 2010
Configuration Management is at the heart of the IT Infrastructure Library (ITIL) and forms the foundation for Business Service Management (BSM). In fact, it is safe to say that neither the ITIL IT Service Management (ITSM) processes nor the BSM functions that leverage ITSM can be efficiently carried out without accurate configuration and dependency information.
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asg, cmdb, bsm, itil, ema, configuration management, itsm, bsm, itil, asg, ddm, cms, bsm, bsp, metacmdb, configuration management, metadata, metacmdb, lob, sdm
    
ASG Software Solutions
Published By: MyOffice24x7     Published Date: Oct 12, 2012
An instructive whitepaper for introducing electronic forms to your organisation, with the view of supplementing or replacing the use of paper forms in its business processes.
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MyOffice24x7
Published By: Tempworks Software     Published Date: Mar 17, 2012
Freemium is a feature-light version of our award-winning business software program, TempWorks Enterprise, that helps you manage hiring and sales processes.
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Tempworks Software
Published By: Esker     Published Date: Jan 08, 2019
The impact of accounts receivable (AR) on business success is unquestionable. Not only is it one of an organization’s largest assets, it deals directly with a different type of asset that doesn’t show up on the balance sheet — customers. So why then, do so many organizations still run their AR processes like it’s the mid-90s? You have to admit, it is a bit ludicrous. Despite its vital importance, AR is consistently one of the most under-resourced and operationally outdated business processes. One recent study found that 50% of all businesses still use manual processes for managing their receivables. Fortunately, as this eBook will explore, the reason for AR’s stasis isn’t an unsolvable problem; on the contrary, the strategies for overcoming these challenges are as simple as they are sensible, and any business can do them.
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Esker
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