data quality challenges

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Published By: Experian     Published Date: May 17, 2016
Every year, Experian Data Quality conducts a study to look at the global trends in data quality. This year, research findings reveal how data practitioners are leveraging and managing data to generate actionable insight, and how proper data management is becoming an organization-wide imperative. This study polled more than 1,400 people across eight countries globally from a variety of roles and departments. Respondents were chosen based on their visibility into their orgazation's customer data management practices. Read through our research report to learn: - The changes in channel usage over the last 12 months - Expected changes in big data and data management initiatives - Multi-industry benchmarks, comparisons, and challenges in data quality - And more! Our annual global benchmark report takes a close look at the data quality and data management initiatives driving today's businesses. See where you line up and where you can improve.
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Experian
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 organizationís 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 yearís 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 organizationís 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 yearís 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: CloverETL     Published Date: Nov 24, 2017
The volume of data is increasing by 40% per year (Source: IDC). In addition, the structure and quality of data differs vastly with a growing number of data sources. More agile ways of working with data are required. This whitepaper discusses the vast options available for managing and storing data using data architectures, and offers use cases for each architecture. Furthermore, the whitepaper explores the benefits, drawbacks and challenges of each data architecture and commonly used practices for building these architectures.
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CloverETL
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: Fiserv     Published Date: Nov 15, 2017
"Learn how you can reduce loan defects, improve data quality and simplify compliance in the mortgage lending process. Co-presented with Craig Focardi, mortgage industry executive and technology advisor, this webinar provides insights into mortgage lending process challenges and how they impact experiences for lenders and borrowers, as well as the overall performance of the loan. The webinar also provides suggestions for reducing loan defects and strategies to correct them."
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Fiserv
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
From small organizations using spreadsheets and visual discovery tools to large enterprises trying to improve data quality and delivery, data preparation difficulties are a major concern. Download your complimentary copy of the full report so you can tackle your data preparation challenges.
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Alteryx, Inc.
Published By: Oracle HCM Cloud     Published Date: May 25, 2017
The changing healthcare environment means that both payers and providers must use all of their available data to ensure that employee productivity goals are met, members and patients receive high-quality service, and compliance is maintained. Unfortunately, many organizations face challenges with disparate systems providing inconsistent data. Find out how leading healthcare organizations are integrating HR and finance systems for one source of truth, and in turn enabling better decisions.
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Oracle HCM Cloud
Published By: DataFlux     Published Date: Jan 07, 2011
This white paper describes a general approach for planning your organization's efforts to improve data quality, providing a data-example-driven perspective of some of the unique challenges of product data quality, as well as discuss and demonstrate three critical steps to improving product data quality.
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dataflux, product data quality, standardization, matching, database development, data quality
    
DataFlux
Published By: IBM     Published Date: Feb 02, 2009
Sign up for the webcast and you will learn: The strategic benefits of a robust information infrastructure for performance management, How to take immediate action if your operating reporting has data latency challenges, How to drive broader adoption in the business by addressing critical data challenges, Why the combination of IBM and Cognos, an IBM company, accelerates the delivery and quality of the information needed to drive business performance.
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ibm, business optimization, performance management, cognos, robust information infrastructure, data latency, data quality challenges, data fragmentation, critical data challenges, data management, data quality
    
IBM
Published By: SAP     Published Date: Jun 30, 2011
This white paper explores why today's executives still lack the relevant information or data quality to make decisions in a timely manner. Inside, learn about the biggest decisions-making challenges facings modern businesses and three keys to achieving better data-driven decisions.
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sap, smbs, high-quality data, erp software solution, decision management, data visibility, data quality, corporate strategy, business activities, resource allocation, compliance, metrics, tec, business intelligence
    
SAP
Published By: IBM     Published Date: Dec 30, 2008
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
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ibm, data governance, safeguard information, data quality, data architecture, data infrastructure, information lifecycle management, metadata, business glossaries, organizational design, organizational development, policy management, risk management, security, privacy, compliance, stewardship, value creation, enterprise applications, data management
    
IBM
Published By: Fiserv     Published Date: Nov 08, 2017
"Learn how you can reduce loan defects, improve data quality and simplify compliance in the mortgage lending process. Co-presented with Craig Focardi, mortgage industry executive and technology advisor, this webinar provides insights into mortgage lending process challenges and how they impact experiences for lenders and borrowers, as well as the overall performance of the loan. The webinar also provides suggestions for reducing loan defects and strategies to correct them."
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Fiserv
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