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Published By: TopQuadrant     Published Date: Mar 21, 2015
Data management is becoming more and more central to the business model of enterprises. The time when data was looked at as little more than the byproduct of automation is long gone, and today we see enterprises vigorously engaged in trying to unlock maximum value from their data, even to the extent of directly monetizing it. Yet, many of these efforts are hampered by immature data governance and management practices stemming from a legacy that did not pay much attention to data. Part of this problem is a failure to understand that there are different types of data, and each type of data has its own special characteristics, challenges and concerns. Reference data is a special type of data. It is essentially codes whose basic job is to turn other data into meaningful business information and to provide an informational context for the wider world in which the enterprise functions. This paper discusses the challenges associated with implementing a reference data management solution and the essential components of any vision for the governance and management of reference data. It covers the following topics in some detail: · What is reference data? · Why is reference data management important? · What are the challenges of reference data management? · What are some best practices for the governance and management of reference data? · What capabilities should you look for in a reference data solution?
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data management, data, reference data, reference data management, top quadrant, malcolm chisholm
    
TopQuadrant
Published By: AnalytixDS     Published Date: Feb 28, 2015
With future business intelligence solutions clearly evolving from data that comes from highly efficient and well behaved systems, to data that comes from the extended enterprise where data is not necessarily so well structured and behaved - Organizations are forced into a more collaborative mode of operation with their core infrastructure being adapted from the consumer space, and to the extent possible, conformed to their existing repositories. This whitepaper attempts to address various challenges consumers face while managing enormous data sets within the context of this complex scenario. Further, we’ll try to answer the question: Is Big Data Governance really that different from traditional data governance initiatives? Finally, we’ll see how AnalytiX™ Mapping Manager™ can help organizations accelerate the development and deployment of a successful Big Data/ Business Intelligence platform and accelerate delivery of all sorts of data – structured, semi-structured as well as unstruc
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big data, big data governance, data governance, analytixds
    
AnalytixDS
Published By: Experian     Published Date: Mar 30, 2017
Businesses today recognize the importance of the data they hold, but a general lack of trust in the quality of their data prevents them from achieving strategic business objectives. Nearly half of organizations globally say that a lack of trust in their data contributes to increased risk of non-compliance and regulatory penalties (52%) and a downturn in customer loyalty (51%). To be of value to organizations, data needs to be trustworthy. In this report, you will read about the findings from this unique study, including: · How data powers business opportunities · Why trusted data is essential for performance · Challenges that affect data quality · The current state of data management practices · Upcoming data-related projects in 2017
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Experian
Published By: Experian     Published Date: Mar 12, 2018
Data is quickly becoming the currency of the emerging digital economy. As digital transformation efforts proliferate and become commonplace, data will take center stage as a critical driver of these initiatives. Organizations that are able to mobilize their data assets to power critical business initiatives will see a distinct advantage in the years to come. In fact, a majority of C-level executives (87%) believe that data has greatly disrupted their organization’s operations over the last 12 months. As the reliance on data deepens, the need for trustworthy and reliable data assets will become increasingly important. This year’s global study highlights several important issues and opportunities throughout the data management and data quality spaces. By discussing the latest advancements and challenges within our industry, we hope to empower all organizations to better leverage their data and to thrive in the digital economy.
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Experian
Published By: Experian     Published Date: Mar 12, 2018
Data is quickly becoming the currency of the emerging digital economy. As digital transformation efforts proliferate and become commonplace, data will take center stage as a critical driver of these initiatives. Organizations that are able to mobilize their data assets to power critical business initiatives will see a distinct advantage in the years to come. In fact, a majority of C-level executives (87%) believe that data has greatly disrupted their organization’s operations over the last 12 months. As the reliance on data deepens, the need for trustworthy and reliable data assets will become increasingly important. This year’s global study highlights several important issues and opportunities throughout the data management and data quality spaces. By discussing the latest advancements and challenges within our industry, we hope to empower all organizations to better leverage their data and to thrive in the digital economy.
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Experian
Published By: Collibra     Published Date: Jul 09, 2018
Data governance can be a game changer when it comes to modern business. But leveraging data for strategic objectives is easier said than done. This new report, developed by the Economist Intelligence Unit, explores the challenges and opportunities for data governance both globally and across industries. Based on a survey of over 500 business executives and complemented by in-depth interviews, this report reveals: • What's working in data governance — and what's not • Why organizations must shift their thinking to data governance on offense • How to overcome barriers to better data governance
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Collibra
Published By: Datawatch     Published Date: Apr 06, 2018
Enterprises are focusing on becoming ever more data-driven, meaning that it is simply unacceptable to allow data to go to waste. Yet, as the amount of data businesses collect and control continues to increase exponentially, many organizations are failing to derive enough business value from their data. Companies are feeling the pressure to extract maximum value from all of their data, both defensive and offensive. Defensive analytics are the “plumbing aspects” of data management that must be captured to mitigate risk and establish a basic understanding of business performance. Offensive analytics build on defensive analytics and support overarching business objectives, strategic initiatives and long-term goals using predictive models. In this whitepaper, you will learn how to address many challenges, including streamlining operational reporting, delivering insight and providing a single, unified platform for everyone.
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Datawatch
Published By: Collibra     Published Date: Jul 02, 2018
Data governance can be a game changer when it comes to modern business. But leveraging data for strategic objectives is easier said than done. This new report, developed by the Economist Intelligence Unit, explores the challenges and opportunities for data governance both globally and across industries. Based on a survey of over 500 business executives and complemented by in-depth interviews, this report reveals: • What's working in data governance — and what's not • Why organizations must shift their thinking to data governance on offense • How to overcome barriers to better data governance
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Collibra
Published By: Experian     Published Date: Nov 03, 2015
It is critically important for businesses today to leverage data as a strategic asset, instead of allowing it to become an obstacle. As more and more organizations are trying to make smarter, data-driven decisions, they are discovering that their data management strategy may not be as mature as it needs to be. One major shift we are seeing is the implementation of a Chief Data Officer. Experian Data Quality recently conducted a research study of more than 250 Chief Information Officers (CIOs) and Chief Data Officers (CDOs) in the US about their data management practices, and the explosion of the CDO role. Key insights in the report include: - Tips for overcoming typical data challenges within your organization - The changing data management landscape and its affect on the CIO - The new and growing need for the CDO - And more!
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Experian
Published By: First San Francisco Partners     Published Date: Jan 23, 2013
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.
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white paper, data, data management, master data management, first san francisco partners, dataversity
    
First San Francisco Partners
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: Dell     Published Date: Nov 12, 2018
Today, IT leaders address the PC lifecycle across a continuum from control to transformation. Control is geared to optimization, while transformation focuses on the business impact of technology. Though the two approaches differ, they are not in opposition. They strive for the same goals and face similar challenges. As IT leaders provide their workforce with the tools to carry out the corporate mission, they should develop a PC lifecycle strategy that encompasses the key organizational needs of systems management, end-user productivity, business innovation and data-centric security. Read this Dell whitepaper to learn more about the findings of a recent Forrester Consulting study, “Digital Transformers Innovate, Digital Controllers Optimize”. This paper will help clarify the PC lifecycle continuum, from the basics of control to the advanced levels of transformation, so you will be better equipped to determine the needs of your organization on that spectrum.
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Dell
Published By: Google     Published Date: Dec 03, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Today’s IT environments are so dynamic and complex that traditional manual administration makes it virtually impossible to keep pace with changing business opportunities and challenges, such as scaling to support new applications and users. Manual administration is not just unsustainable—it’s dangerous. Delays in responding to security threats and compliance issues can have devastating effects: • Security breaches • Failed audits • Financial losses • Loss of customers and reputation • Other serious business consequences To sustain a high level of security and compliance, IT teams must implement a comprehensive, aggressive automation strategy that establishes and tracks key performance indicators. Automation helps to optimize resources, increase efficiencies, lower costs and improve quality of service. This white paper describes principles and best practices for implementing automation as a strategic asset in the ongoing effort to achieve security and compliance excellence in a dynamic
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: Genesys     Published Date: Dec 20, 2018
Successfully implementing and managing a comprehensive suite of customer experience technologies is essential for global businesses seeking to sustain high levels of customer experience and brand value. However, knowing how to temper the instinct to throw technology solutions at efficiency problems is what distinguishes global customer experience leaders from the rest. New technologies must be balanced with appropriate investment in human resources. This is the central finding of a global survey of over 550 senior executives conducted by MIT Technology Review to examine the pressures that shape their customer experience processes and the tools and strategies they employ to mitigate those challenges and continuously improve customer engagement. Read the report to get a detailed look at: • The strategies that differentiates an Iconic firm from other businesses • How strategies vary across regions based on maturity and customer expectations • Future innovation management and technology
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Genesys
Published By: MuleSoft     Published Date: Nov 27, 2018
Traditional insurers are no longer safe with insurtechs challenging incumbents to rethink their business and operating models. This mass disruption creates increased pressure on IT to deliver intrinsic business value, including new services, customer touchpoints, and experiences. Successful insurance transformation requires rethinking the traditional IT operating model to allow IT to focus on creating reusable assets that empower lines of business. Doing so increases IT’s delivery capacity, making businesses more agile. Read this whitepaper to learn: An overview of the challenges insurers are facing in the industry. How a new IT operating model – API-led connectivity – allows IT teams to unlock data from legacy systems and drive reuse across the enterprise. Strategies for using APIs to create a single view of the customer and build connected customer experiences.
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MuleSoft
Published By: SAP     Published Date: Dec 14, 2010
While your competitors sit back, download this free paper to learn how to cut costs, boost profits, build loyalty, and solve a myriad of day-to-day business challenges.
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sap, data strategy, competitive data, reduce costs, increase profits, employee improvement, business performance, business intelligence, data integration
    
SAP
Published By: ASG Software Solutions     Published Date: Jul 13, 2009
Enterprise content is growing at an average rate of 200% per year-and the risks of noncompliance are growing even faster. This paper examines the business and technical difficulties of managing content from disparate systems and presents the most viable alternatives for addressing these challenges.
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asg, sla, cmdb, bsm, metadata, metacmdb, lob, ecommerce, bpm, workflow, itil, cmdmdb, service optimization, business intelligence, service oriented architecture
    
ASG Software Solutions
Published By: ASG Software Solutions     Published Date: Jul 20, 2009
Managing service delivery in todayís complex and dynamic business environments demands new and different approaches from IT. The explosive growth and the rate of change of information has brought particularly daunting challenges for IT that have contributed to incredibly complex underlying infrastructures. To get a true picture of all of the components necessary to support an IT or Business Service, you must access and bring together data that resides in disparate data silos throughout the enterprise.
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asg, sla, cmdb, bsm, metadata, itsm, metacmdb, lob, ecommerce, bpm, workflow, itil, cmdmdb, service optimization, analytical applications, business intelligence, database development, data integration
    
ASG Software Solutions
Published By: Airfoil PR     Published Date: Apr 21, 2010
In our latest Point of View, "The Dirtiest Word In Business," Airfoil has assembled a collective set of best practices to help technology marketers meet the communications challenges of a new digital decade.
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airfoil, innovation, pov, public relations, integration, communications
    
Airfoil PR
Published By: Zynapse     Published Date: Sep 10, 2010
A 26-page information rich whitepaper on the business benefits, challenges and best practices of Material Master Data Management
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm, mmdm, material, business intelligence, database development
    
Zynapse
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
Published By: SAP     Published Date: Feb 03, 2017
Companies across the globe are all facing the same economic headwinds: business change in the form of competitive threats and new opportunities is coming at an unprecedented pace. The watchword for meeting these challenges is innovation – both in terms of business processes as well as the underlying technology that enables those processes. The sum of the experiences discussed in this report showcase how SAP S/4HANA, running on-premise or in the cloud, can form the basis for a broad-based business transformation that does not require a big bang implementation to succeed.
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SAP
Published By: Dell PC Lifecycle     Published Date: Aug 02, 2018
Finding a balance between providing employees with mobility and diversity, and ensuring enterprise IT remains secure and cost effective, can be difficult for businesses to achieve. With 53% of IT leaders struggling to keep up with the increasing diversity of devices, organizations need a solution that can help them overcome these challenges. This webinar discusses how Dell PC Lifecyle family of solutions can streamline the needs of the workforce and satisfy a business’ IT requirements. Learn more about Dell solutions powered by Intel®
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Dell PC Lifecycle
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