This teaching toolkit is designed to be used for a one hour introductory data management class for biomedical researchers. It consists of an instructional guide for teaching the material, a PowerPoint presentation with a script in the accompanying notes to each slide, and a separate evaluation form. This material is built on training material provided in the BD2K funded online research data management educational modules that are freely available here: http://bit.ly/RDM_Modules

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Data Governance Market Size 2024-2028

The data governance market size is forecast to increase by USD 5.39 billion at a CAGR of 21.1% between 2023 and 2028. The market is experiencing significant growth due to the increasing importance of informed decision-making in business operations. With the rise of remote workforces and the continuous generation of data from various sources, including medical devices and IT infrastructure, the need for strong data governance policies has become essential. With the data deluge brought about by the Internet of Things (IoT) device implementation and remote patient monitoring, ensuring data completeness, security, and oversight has become crucial. Stricter regulations and compliance requirements for data usage are driving market growth, as organizations seek to ensure accountability and resilience in their data management practices. companies are responding by launching innovative solutions to help businesses navigate these complexities, while also addressing the continued reliance on legacy systems. Ensuring data security and compliance, particularly in handling sensitive information, remains a top priority for organizations. In the healthcare sector, data governance is particularly crucial for ensuring the security and privacy of sensitive patient information.

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Data governance refers to the overall management of an organization's information assets. In today's digital landscape, ensuring secure and accurate data is crucial for businesses to gain meaningful insights and make informed decisions. With the increasing adoption of digital transformation, big data, IoT technologies, and healthcare industries' digitalization, the need for sophisticated data governance has become essential. Policies and standards are the backbone of a strong data governance strategy. They provide guidelines for managing data's quality, completeness, accuracy, and security. In the context of the US market, these policies and standards are essential for maintaining trust and accountability within an organization and with its stakeholders.

Moreover, data volumes have been escalating, making data management strategies increasingly complex. Big data and IoT device implementation have led to data duplication, which can result in data deluge. In such a scenario, data governance plays a vital role in ensuring data accuracy, completeness, and security. Sensitive information, such as patient records in the healthcare sector, is of utmost importance. Data governance policies and standards help maintain data security and privacy, ensuring that only authorized personnel have access to this information. Medical research also benefits from data governance, as it ensures the accuracy and completeness of data used for analysis.

Furthermore, data security is a critical aspect of data governance. With the increasing use of remote patient monitoring and digital health records, ensuring data security becomes even more important. Data governance policies and standards help organizations implement the necessary measures to protect their information assets from unauthorized access, use, disclosure, disruption, modification, or destruction. In conclusion, data governance is a vital component of any organization's digital strategy. It helps ensure high-quality data, secure data, and meaningful insights. By implementing strong data governance policies and standards, organizations can maintain trust and accountability, protect sensitive information, and gain a competitive edge in today's data-driven market.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Risk management
  Incident management
  Audit management
  Compliance management
  Others


Deployment

  On-premises
  Cloud-based


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France
    Sweden


  APAC

    India
    Singapore


  South America



  Middle East and Africa

By Application Insights

The risk management segment is estimated to witness significant growth during the forecast period. Data governance is a critical aspect of managing data in today's business environment, particularly in the context of wearables and remote monitoring tools. With the increasing use of these technologies for collecting and transmitting sensitive health and personal data, the risk of data breaches and cybersecurity threats has become a significant concern. Compliance regulations such as HIPAA and GDPR mandate strict data management practices to protect this information. To address these challenges, advanced data governance solutions are being adopted.

The data management plan is developed to provide guidance on data management practices and standards for research institutions and teams working on Africa RISING program. The document is organized as follows:

• Section 2 discusses open data access, Africa RISING Program data sources and types, metadata management, and data standardization.
• Section 3 discusses Program data management and access tools.
• Section 4 discusses internal and external diffusion of Program data.
• Section 5 discusses data storage and transmission.

The documents contained in this dataset reflect NASA's comprehensive IT policy in compliance with Federal Government laws and regulations.

The specifications and guidelines in this Data Management Plan will improve data consistency and availability of information. It will ensure that all levels of government and the public have access to the most up-to-date information; reduce or eliminate overlapping data requests and redundant data maintenance; ensure metadata is consistently created; and ensure that data services can be displayed by the consumer with the output of its choice.

Clinical Trial Data Repository Market Outlook

The global clinical trial data repository market size was estimated to be approximately $1.8 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 9.5% to reach around $4.1 billion by 2032. The primary growth factors include the increasing volume and complexity of clinical trials, rising need for efficient data management systems, and stringent regulatory requirements for data accuracy and integrity. The advent of advanced technologies such as artificial intelligence and big data analytics further drives market expansion by enhancing data processing capabilities and providing actionable insights.

The growth of the clinical trial data repository market is significantly influenced by the increasing number of clinical trials being conducted globally. With the rise in chronic diseases, the need for innovative treatments and therapies has surged, leading to an upsurge in clinical trials. This increase in clinical trials necessitates robust data management systems to handle vast amounts of data generated, thereby propelling the demand for clinical trial data repositories. Moreover, the complexity of modern clinical trials, which often involve multiple sites and diverse patient populations, further amplifies the need for sophisticated data management solutions.

Another critical driver for the market is the stringent regulatory landscape governing clinical trial data. Regulatory bodies such as the FDA, EMA, and other local authorities mandate rigorous data management standards to ensure data integrity, accuracy, and accessibility. These regulations necessitate the adoption of advanced data repository systems that can comply with regulatory requirements, thereby fueling market growth. Additionally, regulatory frameworks are becoming increasingly stringent, prompting pharmaceutical and biotechnology companies to invest in state-of-the-art data management systems to avoid compliance issues and potential financial penalties.

Technological advancements play a pivotal role in the market's growth. The integration of artificial intelligence, machine learning, and big data analytics into data repository systems enhances data processing and analysis capabilities. These technologies enable real-time data monitoring, predictive analytics, and improved decision-making, thereby improving the efficiency of clinical trials. Furthermore, the shift towards cloud-based solutions offers scalability, flexibility, and cost-effectiveness, making advanced data management systems accessible to even small and medium-sized enterprises.

Regionally, North America dominates the clinical trial data repository market owing to its robust healthcare infrastructure, high R&D investments, and presence of major pharmaceutical and biotechnology companies. Europe follows closely due to stringent regulatory standards and a strong focus on clinical research. The Asia Pacific region is expected to witness the highest growth rate during the forecast period due to increasing clinical trial activities, growing healthcare expenditure, and the rising adoption of advanced technologies. Latin America and the Middle East & Africa are also likely to experience growth, albeit at a slower pace, driven by improving healthcare systems and increasing focus on clinical research.

Component Analysis

The clinical trial data repository market is segmented by components into software and services. The software segment is anticipated to hold a significant share of the market due to the essential role software plays in data management. Advanced software solutions offer capabilities such as data storage, management, retrieval, and analysis, which are critical for effective clinical trial management. The integration of AI and machine learning algorithms into these software systems further enhances their efficiency by enabling predictive analytics and real-time monitoring, thus driving the software segment's growth.

Software solutions in clinical trial data repositories also offer interoperability, enabling seamless integration with other clinical trial management systems (CTMS) and electronic data capture (EDC) systems. This interoperability is crucial for ensuring data consistency and accuracy across different platforms, thereby enhancing overall data management. Additionally, the increasing adoption of cloud-based software solutions provides scalability, cost-effectiveness, and remote acce

This survey investigates Research Data Management (RDM) practices across five Swiss higher education institutions, including EPFL, ETH Zürich, Eawag, FHNW, and DaSCH, with the goal of gathering insights into how researchers manage data and code throughout the lifecycle of their projects, as well as using such findings to inform academic services related to RDM for researchers. Previous surveys, conducted at EPFL in 2017, 2019, and 2021, primarily focused on the planning and publishing stages of the research data lifecycle, such as data management planning and open data dissemination. The 2023 edition expanded to other institutes and places a stronger emphasis on Active Data Management, particularly during research projects, including a range of topics such as:

Storage and backup solutions

Data and code sharing platforms

Documentation and metadata usage

Compliance with legal and ethical standards

Long-term data preservation strategies

Use of open formats and open-source software

Adoption of Data Management Plans (DMPs)

This dataset was collected using the SurveyHero platform in compliance with GDPR and Swiss FADP regulations. enuvo GmbH acted as the data processor under a signed Data Processing Agreement. No personal identifiable information was purposefully collected, and data has been aggregated to further ensure respondents’ privacy.

Included in this dataset:

A CSV and XLSX file with the aggregated, anonymized data from the survey.

Two PDF files containing graphical representations of the survey results, automatically generated by the SurveyHero platform in portrait and landscape mode.

A README file providing context.

This dataset is made openly available under the CC-BY 4.0 license. Users are encouraged to reuse it with appropriate attribution.

Data Quality Management Software Market Outlook

The global data quality management software market size was valued at approximately USD 1.5 billion in 2023 and is anticipated to reach around USD 3.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.8% during the forecast period. This growth is largely driven by the increasing complexity and exponential growth of data generated across various industries, necessitating robust data management solutions to ensure the accuracy, consistency, and reliability of data. As organizations strive to leverage data-driven decision-making and optimize their operations, the demand for efficient data quality management software solutions continues to rise, underscoring their significance in the current digital landscape.

One of the primary growth factors for the data quality management software market is the rapid digital transformation across industries. With businesses increasingly relying on digital tools and platforms, the volume of data generated and collected has surged exponentially. This data, if managed effectively, can unlock valuable insights and drive strategic business decisions. However, poor data quality can lead to erroneous conclusions and suboptimal performance. As a result, enterprises are investing heavily in data quality management solutions to ensure data integrity and enhance decision-making processes. The integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) in data quality management software is further propelling the market, offering automated data cleansing, enrichment, and validation capabilities that significantly improve data accuracy and utility.

Another significant driver of market growth is the increasing regulatory requirements surrounding data governance and compliance. As data privacy laws become more stringent worldwide, organizations are compelled to adopt comprehensive data quality management practices to ensure adherence to these regulations. The implementation of data protection acts such as GDPR in Europe has heightened the need for data quality management solutions to ensure data accuracy and privacy. Organizations are thus keen to integrate robust data quality measures to safeguard their data assets, maintain customer trust, and avoid hefty regulatory fines. This regulatory-driven push has resulted in heightened awareness and adoption of data quality management solutions across various industry verticals, further contributing to market growth.

The growing emphasis on customer experience and personalization is also fueling the demand for data quality management software. As enterprises strive to deliver personalized and seamless customer experiences, the accuracy and reliability of customer data become paramount. High-quality data enables organizations to gain a 360-degree view of their customers, tailor their offerings, and engage customers more effectively. Companies in sectors such as retail, BFSI, and healthcare are prioritizing data quality initiatives to enhance customer satisfaction, retention, and loyalty. This consumer-centric approach is prompting organizations to invest in data quality management solutions that facilitate comprehensive and accurate customer insights, thereby driving the market's growth trajectory.

Regionally, North America is expected to dominate the data quality management software market, driven by the region's technological advancements and high adoption rate of data management solutions. The presence of leading market players and the increasing demand for data-driven insights to enhance business operations further bolster market growth in this region. Meanwhile, the Asia Pacific region is witnessing substantial growth opportunities, attributed to the rapid digitalization across emerging economies and the growing awareness of data quality's role in business success. The rising adoption of cloud-based solutions and the expanding IT sector are also contributing to the market's regional expansion, with a projected CAGR that surpasses other regions during the forecast period.

Component Analysis

The data quality management software market is segmented by component into software and services, each playing a pivotal role in delivering comprehensive data quality solutions to enterprises. The software component, constituting the core of data quality management, encompasses a wide array of tools designed to facilitate data cleansing, validation, enrichment, and integration. These software solutions are increasingly equipped with advanced features such as AI and ML algorithms, enabling automated data quality processes that si

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US Enterprise Data Management Market Size 2024-2028

The US enterprise data management market size is forecast to increase by USD 5.59 billion at a CAGR of 13.6% between 2023 and 2028.

The market, including Enterprise Data Management (EDM) software, is experiencing significant growth due to increasing demand for data integration and visual analytics. The BFSI industry's reliance on data warehousing and data security continues to drive market expansion. Technological advancements, such as artificial intelligence and machine learning are revolutionizing EDM solutions, offering enhanced capabilities for data processing and analysis. However, the high cost of implementing these advanced EDM solutions remains a challenge for some organizations. Additionally, data security concerns and the need for regulatory compliance are ongoing challenges that require continuous attention and investment. In the telecom sector, the trend towards digital transformation and the generation of vast amounts of data are fueling the demand for strong EDM solutions. Overall, the EDM software market is expected to continue its growth trajectory, driven by these market trends and challenges.

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The Enterprise Data Management (EDM) market in the BFSI sector is experiencing significant growth due to the industry's expansion and strict regulations. With the increasing volume, velocity, and complexity of data, IT organizations in banks and other financial institutions are prioritizing EDM solutions to handle massive datasets and ensure information accuracy. These systems enable data synchronization, address validation, and single-source reporting, addressing data conflicts and silos that hinder effective business operations. EDM solutions are essential for both internal applications and external communication, allowing for leveraging analytics to gain a competitive edge. In the BFSI sector, where risk control is paramount, EDM plays a crucial role in managing and consuming datasets efficiently.
The market is characterized by a competitive environment, with IT investments focused on multiuser functionality and Big Data capabilities to meet the diverse needs of various business verticals, including manufacturing and services industries. Overall, EDM is a strategic imperative for businesses seeking to stay competitive and compliant in today's data-driven economy.

How is this market segmented and which is the largest segment?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  On-premises
  Cloud


Ownership

  Large enterprise
  Small and medium enterprise


End-user

  Commercial banks
  Savings institutions


Geography

  US

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period. The BFSI sector in the US is witnessing a significant expansion in the enterprise data management market, driven by strict regulations and the competitive environment. Large organizations, including commercial banks, insurance companies, and non-banking financial institutions, are prioritizing data management to ensure information accuracy and risk control. Enterprise Data Management (EDM) solutions are crucial for internal applications and external communication, enabling data synchronization and business operations. Leveraging analytics, IT organizations manage vast datasets and datasets' consumption, addressing data conflicts and ensuring data quality for reporting. EDM encompasses handling massive data through Business Analytics, ETL tools, data pipelines, and data warehouses, as well as data visualization tools.

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The on-premises segment was valued at USD 2.9 billion in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in adoption of US Enterprise Data Management Market?

Growing demand for data integration and visual analytics is the key driver of the market. In the BFSI sector, strict regulations necessitate the effective management of large volumes of structured and unstructured data. The industry's expansion and competitive environment necessitate the need for advanced data management solutions. Enterprises are leveraging Enterprise Data Management (EDM) systems to address the challenges of data synchronization, internal

The data management plan covers the complete research data life cycle. It describes the types of data that will be generated or collected during the project, the standards that will be used, how the data will be preserved and what parts of the datasets will be shared for verification or reuse.

Use this guide to find information on Tempe data policy and standards.Open Data PolicyEthical Artificial Intelligence (AI) PolicyEvaluation PolicyExpedited Data Sharing PolicyData Sharing Agreement (General)Data Sharing Agreement (GIS)Data Quality Standard and ChecklistDisaggregated Data StandardsData and Analytics Service Standard

Data Management Platforms Market Outlook

The global Data Management Platforms (DMP) market size is projected to witness substantial growth from 2023, when it was valued at approximately USD 3.5 billion, to an estimated USD 11.8 billion by 2032, at a commendable compound annual growth rate (CAGR) of 14.7% during the forecast period. This growth is primarily driven by the increasing demand for data-driven decision-making across multiple sectors, enhancing operational efficiency, customer engagement, and overall business intelligence. The integration of advanced data management solutions is becoming crucial as businesses worldwide strive to harness the power of big data analytics and artificial intelligence to gain competitive advantages and streamline their operations.

One of the primary growth factors in the data management platforms market is the exponential rise in data generation from various sources, including social media, IoT devices, and enterprise applications. Organizations are keen on leveraging this vast amount of data to gain insights into customer behaviors and preferences, optimize marketing strategies, and improve product offerings. The ability of DMPs to aggregate, segment, and analyze data from various sources allows businesses to target specific customer segments more effectively. Furthermore, as industries become more data-centric, there is a growing need for robust data management solutions to ensure data accuracy, security, and compliance with global data protection regulations.

Another significant growth driver is the increasing adoption of cloud-based data management solutions, which offer scalability, flexibility, and cost-effectiveness. Cloud deployment allows businesses to rapidly integrate DMPs without the need for heavy infrastructure investments, making it particularly attractive for small and medium enterprises (SMEs). Moreover, the cloud-based approach facilitates real-time data processing and analytics, enabling businesses to make timely and informed decisions. As organizations continue to digitize their operations, the demand for cloud-based DMPs is expected to surge, propelling the market growth further.

The integration of artificial intelligence (AI) and machine learning (ML) technologies with data management platforms is also playing a pivotal role in market growth. AI-driven DMPs enhance data processing capabilities by automating data categorization, analysis, and reporting processes. These advancements enable organizations to derive deeper insights from their data, predict trends, and personalize customer experiences. The continuous evolution of AI and ML technologies is expected to drive innovation in the DMP market, leading to more sophisticated and efficient solutions that cater to the dynamic needs of businesses across various industry verticals.

Data Monetization is becoming an increasingly important strategy for businesses seeking to leverage their data assets for additional revenue streams. As organizations collect vast amounts of data from various sources, the ability to effectively monetize this data can provide significant competitive advantages. By transforming raw data into valuable insights, companies can create new products and services, enhance customer experiences, and optimize operational efficiencies. Moreover, data monetization enables businesses to unlock new market opportunities and drive innovation, ultimately contributing to sustainable growth and profitability.

The regional outlook for the data management platforms market reveals a strong potential for growth across several key regions. North America is a leading market, driven by high adoption rates of advanced technologies and a strong presence of market players. The region's robust IT infrastructure and focus on data-driven strategies position it for sustained growth. Meanwhile, the Asia Pacific region is anticipated to exhibit the highest growth rate, fueled by rapid digital transformation, increasing internet penetration, and a growing number of SMEs adopting data management solutions. Europe also presents significant opportunities, particularly with stringent data privacy regulations like GDPR driving the need for effective data management strategies.

Component Analysis

The data management platforms market is segmented into two primary components: software and services. The software segment is poised for significant growth, driven by the increasing demand for advanced analytics tools and data integration solutions. DMP so

Oil & Gas Data Management Market Outlook

The global oil & gas data management market size was valued at approximately USD 15.2 billion in 2023 and is projected to reach USD 28.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.2% during the forecast period. This growth is primarily driven by the increasing complexity of oil and gas operations and the critical need for efficient data management systems to enhance decision-making processes and operational efficiencies.

One of the key growth factors for this market is the rapid digital transformation within the oil and gas sector. As the industry increasingly leverages advanced technologies such as IoT, AI, and big data analytics, the volume and complexity of data generated are escalating exponentially. This necessitates robust data management solutions to process, analyze, and derive actionable insights from vast datasets. Furthermore, the advent of real-time data analytics is enabling oil and gas companies to optimize production, reduce downtime, and improve safety standards, thereby driving the demand for sophisticated data management systems.

Additionally, regulatory compliance and environmental concerns are compelling the industry to adopt more stringent data management practices. Governments and regulatory bodies worldwide are imposing stricter regulations related to data reporting, monitoring, and environmental sustainability. To comply with these regulations, oil and gas companies must implement comprehensive data management systems that ensure data accuracy, integrity, and accessibility. This regulatory push is creating significant opportunities for market growth as companies seek to upgrade their data management capabilities.

Another crucial factor contributing to market growth is the increasing focus on cost optimization and operational efficiency. With fluctuating oil prices and rising operational costs, companies are under immense pressure to enhance their operational efficiencies and reduce costs. Effective data management plays a pivotal role in achieving these objectives by enabling predictive maintenance, optimizing resource allocation, and improving supply chain management. By leveraging advanced data management solutions, companies can enhance their decision-making processes, thereby driving profitability and competitiveness.

From a regional perspective, North America is anticipated to hold the largest market share during the forecast period, driven by the presence of major oil and gas companies and the rapid adoption of advanced technologies. However, the Asia Pacific region is expected to exhibit the highest CAGR, fueled by increasing investments in oil and gas exploration activities, especially in emerging economies such as China and India. The Middle East and Africa, with their vast oil reserves, also represent a significant market, particularly with ongoing projects aimed at boosting production and operational efficiency.

Component Analysis

The oil & gas data management market is segmented by component into software and services. The software segment comprises various solutions such as data integration, data quality, data governance, data security, and data analytics. These solutions are essential for managing the vast amounts of data generated across the oil and gas value chain. The increasing adoption of automation and digitalization in the industry is driving the demand for sophisticated software solutions that can handle complex data requirements. Moreover, advancements in AI and machine learning are further enhancing the capabilities of data management software, enabling more accurate predictive analytics and real-time decision-making.

Within the software segment, data analytics solutions are witnessing significant growth due to their ability to provide deep insights into operational performance, asset health, and market trends. These insights are crucial for optimizing production processes, reducing operational costs, and improving overall efficiency. Additionally, data security solutions are gaining traction as the industry becomes increasingly aware of the risks associated with data breaches and cyber-attacks. Ensuring data integrity and security is paramount, particularly given the sensitive nature of the information handled by oil and gas companies.

The services segment includes consulting, implementation, and support services. Consulting services are in high demand as companies seek expert guidance on selecting and implementing the right data management solutions. These services help organizations assess thei

This dataset consists of an evaluation form, resulting data, and a slide deck from a case study describing the development, implementation, and evaluation of a 1.5 hour clinical research data management workshop for an academic medical center research community. This workshop was developed by the health sciences library.

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Enterprise Data Management Market Size 2024-2028

The enterprise data management market size is estimated to grow by USD 126.2 billion, at a CAGR of 16.83% between 2023 and 2028. The market is experiencing significant growth, driven by the increasing demand for data integration and visual analytics to support informed business decision-making. Technological developments, such as cloud computing, artificial intelligence, and machine learning, are revolutionizing data management processes, enabling organizations to handle large volumes of data more efficiently. However, integration challenges persist, particularly with unscalable applications and disparate data sources. Addressing these challenges requires strong EDM solutions that ensure data accuracy, security, and accessibility. The market is expected to continue its expansion, fueled by the growing recognition of data as a strategic asset and the need for organizations to derive actionable insights from their data to gain a competitive edge.

What will be the Size of the Enterprise Data Management Market During the Forecast Period?

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Enterprise Data Management Market Segmentation

The enterprise data management market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.

End-user Outlook 

  BFSI
  Healthcare
  Manufacturing
  Retail
  Others





Deployment Outlook 

  On-premise
  Cloud-based





Region Outlook

  North America

    The U.S.
    Canada





  Europe

    U.K.
    Germany
    France
    Rest of Europe





  APAC

    China
    India





  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa


  South America

    Chile
    Brazil
    Argentina

By End User

The market share growth by the BFSI segment will be significant during the forecast period. The BFSI segment dominated the market and will continue to hold a major share of the market during the forecast period. The complete digitization of core processes, the adoption of customer-centric approaches, and the rising volume of data drive the growth of the segment. The enterprise data management market is growing with advancements in data governance, master data management (MDM), and cloud-based data management. Solutions such as data integration, big data management, and data security ensure seamless operations. Enterprise data analytics, data warehousing, and real-time data processing enhance decision-making. With data quality management, business intelligence tools, and data as a service (DaaS), businesses achieve robust insights and efficient data handling.

Get a glance at the market contribution of various segments. Request PDF Sample

The BFSI segment was valued at USD 18.30 billion in 2018. The deployment allows financial institutions to manage data generated from diverse systems and processes such as loan processing, claims management, customer data management, and financial transactions electronically. Hence, it improves customer-centricity. The deployment also allows financial institutions to address sectoral challenges, which range from compliance requirements to data management, data security, transparency, and availability across platforms, time, and geographies. The growth of the BFSI segment is also driven by the need to reduce processing costs, improve operational efficiency, and ensure adherence to compliance standards.

Moreover, solutions such applications provide enterprises with financial planning, budgeting, forecasting, and financial and operational reporting abilities. BFSI companies adopt to streamline their financial planning and budgeting processes in line with their business strategies and plans. The adoption enables funds transfer pricing and provides suitable applications for the accurate calculation of the profitability of the enterprise. Thus, the growth of the BFSI will positively impact enterprise data management market growth during the forecast period.

Regional Analysis

For more insights on the market share of various regions, Request PDF Sample now!

North America is estimated to contribute 38% to the growth of the global enterprise data management market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. Several industries, especially in the US and Canada, are early adopters of advanced technologies. Hence, the volume of data generated is high, which necessitates its use in North America. The US is the leading market in North America. It is the technological capital of the world and is one of the early adopters of cutting-edge innov

Here you can find the files corresponding to our submission titled 'Aligning DMPs with Community Standards using FIPs'.

- VU DMP template and the mapping is included in the folder /VU-DMP-template-and-mapping

- All the FAIR Implementation Profiles are included in the folder /FIPs.

- The knowledge model we created for the project, and a small demo of the interface are in the folder /KM-and-demo.

- The folder /user-study consists of the following:

a) The mock DMPs we provided to the participants of this research are in /mock_DMPs.

b) We downloaded the resulting DMPs after participants completed their DMPs, they are in the folder /resulting_DMPs.

c) Survey results can be found in the folder /survey_results.

d) Some Python scripts were used for the analysis of the survey results. They are in the folder /Python_script_for_analysis.

The project is open source under the license CC-BY 4.0.

Contact: Shuai Wang (shuai.wang@vu.nl)

These are the slides of a presentation given at figshare Fest New Zealand on 27th October 2017 at Auckland University. One slide has been removed for copyright reasons from the original slide deck.

The following policy statements have been developed and refined for the Idaho NSF EPSCoR Genes to Environment: Modeling, Mechanisms, and Mapping (GEM3) grant OIA-1757324. The National Science Foundation (NSF) requires establishment and enforcement of such policies as part of the new data management requirements of the Idaho EPSCoR program. These policies are intended to supplement standard legal constraints (such as Institutional Review Board [IRB] requirements); they are not intended to supplant or create conflicts with other institutional and legal requirements. These policies will be reviewed annually by the Data Management (DM) Working Group in consultation with the GEM3 Executive Leadership Team (ELT) . Recommended policy revisions will be submitted to the GEM3 ELT for final approval.

As benefactors and contributors in the EPSCoR Program, we recognize that we are a team of scientists and administrators who have a collective obligation to maximize the utility of the granted resources through 1) active communication between project leaders, teams, the DM Working Group, and DM staff at the universities; 2) through collaboration, to more efficiently allocate and share resources (e.g. personnel, equipment, and software); and 3) recognition that raw data and subsequent data products generated internal to EPSCoR projects are a common good and priority should be given to provide mechanisms for access and sharing to the research community and the public as rapidly as possible according to the polices outlined below.

The complete GEM3 Data Management Plan can be downloaded below.

Data Governance Software Market size was valued at USD 4.18 Billion in 2024 and is projected to reach USD 20.97 Billion by 2031, growing at a CAGR of 22.35% from 2024 to 2031.

Global Data Governance Software Market Drivers

Data Privacy Regulations: The increasing stringency of data privacy regulations such as GDPR, CCPA, and HIPAA mandates organizations to implement robust data governance practices. Data governance software helps companies ensure compliance with these regulations by managing data access, usage, and security.

Data Security Concerns: With the growing frequency and sophistication of cyber threats, organizations prioritize data security. Data governance software provides tools for defining and enforcing data security policies, monitoring data access and usage, and detecting and mitigating security breaches.

Data Quality Improvement: Poor data quality can lead to errors, inefficiencies, and inaccurate decision-making. Data governance software helps organizations establish data quality standards, define data quality metrics, and implement processes for data cleansing, validation, and enrichment to improve overall data quality.

Increasing Data Volumes and Complexity: Organizations are dealing with ever-increasing volumes of data from various sources, including structured and unstructured data, IoT devices, social media, and cloud applications. Data governance software helps manage this complexity by providing tools for data discovery, classification, and lineage tracking.

Digital Transformation Initiatives: Organizations undergoing digital transformation initiatives recognize the importance of data governance in ensuring the success of these initiatives. Data governance software facilitates data integration, collaboration, and governance across disparate systems and data sources, supporting digital transformation efforts.

Risk Management and Compliance: Effective data governance is essential for managing risks associated with data breaches, regulatory non-compliance, and reputational damage. Data governance software enables organizations to identify, assess, and mitigate risks related to data management and usage.

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Master Data Management (MDM) Solutions Market Size 2024-2028

The master data management (mdm) solutions market size is forecast to increase by USD 20.29 billion, at a CAGR of 16.72% between 2023 and 2028.

The market is experiencing significant growth due to the increasing volume and complexity of data. Businesses are generating and collecting vast amounts of data from various sources, necessitating effective MDM solutions to manage and maintain data accuracy and consistency. Furthermore, advancements in natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) technologies are revolutionizing data management, enabling more sophisticated data analysis and insights. However, the market faces challenges as well. Data privacy and security concerns continue to be a major obstacle, with organizations needing to ensure the protection of sensitive information while still allowing for data access and sharing. Ensuring compliance with data protection regulations, such as GDPR and HIPAA, is a critical challenge for MDM solution providers and their clients. Additionally, integrating MDM solutions with existing IT infrastructure and applications can be complex and time-consuming, requiring significant resources and expertise. Companies seeking to capitalize on the opportunities presented by the MDM Solutions Market must address these challenges effectively to succeed.

What will be the Size of the Master Data Management (MDM) Solutions Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free SampleThe market continues to evolve, with dynamic market activities shaping its landscape. Seamlessly integrated solutions encompass various elements, including data virtualization, predictive analytics, data lakes, data profiling, change management, data quality, ETL processes, data analytics, data replication, data governance framework, data cleansing, data catalog, data security, data stewardship, data visualization, data integration, data encryption, collaboration tools, API integration, regulatory reporting, data lineage, hybrid MDM, data transformation, metadata management, data governance, data audit, data discovery, data modeling, and master data services. These components work in unison, enabling organizations to effectively manage and leverage their data assets. Predictive analytics and data lakes facilitate data-driven decision making, while data profiling ensures data accuracy and consistency. Change management and data quality maintain data integrity, and ETL processes streamline data integration. Data security, data stewardship, and data encryption safeguard sensitive information, while collaboration tools and API integration foster data access and sharing. Regulatory reporting and data lineage ensure compliance, and hybrid MDM caters to diverse deployment requirements. The ongoing evolution of these MDM solutions continues to impact various sectors, from finance and healthcare to retail and manufacturing, as organizations seek to optimize their data management strategies and gain a competitive edge.

How is this Master Data Management (MDM) Solutions Industry segmented?

The master data management (mdm) solutions industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. DeploymentCloudOn-premisesEnd-userBFSIHealthcareRetailOthersGeographyNorth AmericaUSCanadaEuropeGermanyUKAPACChinaRest of World (ROW)

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period.The market is witnessing significant growth, driven by the increasing demand for data access control, data quality, and data integration. MDM solutions enable organizations to manage and maintain consistent and accurate master data across various systems and applications. Workflow automation is a key feature of MDM solutions, streamlining data processes and improving operational efficiency. Data access control ensures that only authorized users have access to sensitive data, enhancing data security. Data masking protects sensitive data by hiding it from unauthorized users, while data warehousing facilitates data analysis and reporting. Cloud-based MDM solutions are gaining popularity due to their agility, scalability, and cost-effectiveness. These solutions offer real-time data access, enabling faster decision-making and collaboration. Data synchronization ensures that data is consistent across all systems, reducing data silos and increasing data accuracy. Data migration and data transformation are essential aspects of MDM, enabling organizations to move and transform data from legacy systems to modern platform