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Published By: CA Technologies     Published Date: Oct 22, 2015
As the interest in managing information and enforcing corporate data management policies increases, data governance programs to manage data sets are becoming more and more vital to the business operation. However, in this rush for data governance programs, sometimes the true utility and importance of metadata can be missed. In this white paper, David Loshin of Knowledge Integrity, Inc. discusses the importance of data governance and the role of metadata management as a way to empower data governance and enforce data policies.
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white paper, metadata, data management, data modeling, david loshin, data governance, data governance strategy
    
CA Technologies
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: Cambridge Semantics     Published Date: Mar 13, 2015
As the quantity and diversity of relevant data grows within and outside the enterprise, how can IT easily deploy secure governed solutions that allow business users to identify, extract, link together and derive value from the right data at the right time, at big data scale, while keeping up with ever changing business needs? Smart Enterprise Data Management (Smart EDM) is new, sensible paradigm for managing enterprise data. Anzo Smart Data solutions allow IT departments and their business users to quickly and flexibly access all of their diverse data. Based upon graph data models and Semantic data standards, Anzo enables users to easily perform advanced data management and analytics through the lens of their business at a fraction of the time and cost of traditional approaches, while adhering to the governance and security required by enterprise IT groups. Download this whitepaper to learn more.
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enterprise data management, data governance, data integration, cambridge semantics
    
Cambridge Semantics
Published By: CMMI Institute     Published Date: Sep 03, 2014
To drive strategic insights that lead to competitive advantage, businesses must make the best and smartest use of today’s vast amount of data. To accomplish this, organizations need to apply a collaborative approach to optimizing their data assets. For organizations that seek to evaluate and improve their data management practices, CMMI® Institute has developed the Data Management Maturity (DMM)? model to bridge the perspective gap between business and IT. Download the white paper Why is Measurement of Data Management Maturity Important? to enable you to: - Empower your executives to make better and faster decisions using a strategic view of their data. - Achieve the elusive alignment and agreement between the business and IT - Create a clear path to increasing capabilities
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white paper, enterprise data management, data model, data modeling, data maturity model, cmmi institute
    
CMMI Institute
Published By: CMMI Institute     Published Date: Mar 21, 2016
CMMI Institute®’s Data Management Maturity (DMM)SM framework enables organizations to improve data management practices across the full spectrum of their business. It is a unique, comprehensive reference model that provides organizations with a standard set of best practices to assess their capabilities, strengthen their data management program, and develop a custom roadmap for improvements that align with their business goals.
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CMMI Institute
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: 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: Reltio     Published Date: May 22, 2018
"Forrester's research uncovered a market in which Reltio [and other companies] lead the pack,” the Forrester Wave Master Data Management states. "Leaders demonstrated extensive and MDM capabilities for sophisticated master data scenarios, large complex ecosystems, and data governance to deliver enterprise-scale business value.” Reltio executes the vision for next-generation MDM by converging trusted data management with business insight solutions at scale and in the cloud. Machine learning and graph technology capabilities enable a contextual data model while also maintaining temporal and lineage changes of the master data.
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Reltio
Published By: Semarchy     Published Date: Feb 12, 2018
This whitepaper covers a recently completed a ground-breaking industry wide survey of executives, architects, and business stakeholders from data-driven organizations by Enterprise Management Research in order to explore the growing role of the CDO, and to explore the various data management maturity levels of enterprise companies. This whitepaper explains how industry visionaries use data as an asset, and discusses the growing importance of data governance leadership. Additionally, it creates a data management maturity index to show how various companies match-up in their data management vision and capabilities. Finally, the whitepaper covers the top data-focused applications used and their average implementation timelines.
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Semarchy
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: 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: 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: DATAVERSITY     Published Date: Jan 23, 2013
No business likes to throw money out the window, or in the case of the modern day enterprise, down the electronic data stream. But, that is exactly what businesses all over the world are doing every day if they don’t have control of their data. This paper is sponsored by: ASG.
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white paper, dataversity, asg, metadata, business management, data, data management
    
DATAVERSITY
Published By: birst     Published Date: Feb 22, 2013
The demand for business intelligence is strong and growing. For the past several years, BI has been repeatedly named as the top priority by Chief Information Officers (CIO) in Gartner’s annual CIO survey.
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white paper, dataversity, birst, business intelligence, cloud, cloud computing, analytics, data, data management
    
birst
Published By: ASG     Published Date: Feb 05, 2013
No business likes to throw money out the window, or in the case of the modern day enterprise, down the electronic data stream. But, that is exactly what businesses all over the world are doing every day if they don’t have control of their data.
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white paper, dataversity, asg, metadata, business management, data, data management
    
ASG
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: Sage People     Published Date: Jan 31, 2019
The way we work has completely transformed. New technology is changing how, where and when we work. In this new landscape, businesses face challenges around growth, talent acquisition and productivity. Employers need to embrace new technology to get ahead in this new world of work, and put people at the heart of their strategy. However, HR and People leaders are in fierce competition for that all-important slice of budget and that makes building the strongest business case for technology investment vital. This guide is designed to help HR and People leaders like you get the financial support you need. You’ll get practical, effective tips on: • Understanding and explaining the true benefits of investing in a new HR system and likely return on investment • Positioning HR as a leader of change throughout your business • Ensuring your HR vision fits in with the business strategy • Getting management and key stakeholder buy-in • Building the strongest business case and the most powerful el
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Sage People
Published By: Salsify     Published Date: Mar 15, 2019
Branded product pages on the digital shelf have become incredibly important both as a sales and marketing channel. For that reason, most brands are putting time and resources into improving the content of their product pages. But how exactly does content impact the numbers every business relies on? Read this report to get deep statistical insights on how product page content impacts search ranking, online market share, and sales overall. This study includes a range of analyses to help you quantify the actual sales value of your brand's product content using a variety of methodologies, including: An analysis of more than 500,000 Amazon search results pages A full-year examination of 60,000 Amazon product pages across 78 brands working with Salsify Data and stories from individual Salsify customers that invested in product content optimization Salsify is the product experience management platform for thousands of brands and retailers worldwide.
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Salsify
Published By: HERE Technologies     Published Date: Feb 12, 2019
By making use of the right technology, transportation and logistics (T&L) companies can reinvent their industry with superior customer service, increased revenues, and reduced costs. This whitepaper looks at the obstacles facing the T&L industry and examines how fleet planning and trip analysis software businesses can help by enabling faster and smarter data-driven decision-making. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE can help T&L companies improve fleet management.
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location data, transport & logistics, location services
    
HERE Technologies
Published By: TIBCO Software APAC     Published Date: Feb 14, 2019
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases. APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers. In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to: Create an internal and external developer ecosystem Secure your data and scale distribution Optimize and manage microservices Expand your partner network Run analytics on your API performance
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TIBCO Software APAC
Published By: Genesys     Published Date: Feb 08, 2019
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 adopt
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Genesys
Published By: Anaplan     Published Date: Mar 12, 2019
Old-school planning and budgeting can’t keep up In disruptive times, innovating and responding to change requires visibility into business conditions—and reliable planning and forecasting. However, it’s not always easy figuring out which cloud-based corporate performance management (CPM) system will best fit your budgeting, planning, analysis, and reporting needs. In this report, you will gain insight into: • The drawbacks of old-school, manual budgeting and planning • Benefits of cloud-based performance management systems • Four evaluation criteria for selecting cloud-based CPM technology
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Anaplan
Published By: Virtela Communications, Inc.     Published Date: Oct 12, 2011
Multinational companies (MNCs) are facing a unique combination of escalating customer, competitive and operational pressures which are forcing them to fundamentally change the way they do business and manage their IT infrastructures supporting network, security and mobility needs. Lack of IT resources, limited capex and more complex global implementations are driving an increasing proportion of MNCs to offload, or 'out-task', various aspects of their day-to-day management responsibilities to skilled third-parties that can help perform these functions well.
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health, global management service, cloud services, technology
    
Virtela Communications, Inc.
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