Displays incomplete Published data assets. This report can be used to help improve the Data Asset Completeness score from the Enterprise Data Management (EDM) Scorecard by identifying which missing fields are required for completeness.

Report of Data Asset Management Market is currently supplying a comprehensive analysis of many things which are liable for economy growth and factors which could play an important part in the increase of the marketplace in the prediction period. The record of Data Asset Management Industry is providing the thorough study on the grounds of market revenue discuss production and price happened. The report also provides the overview of the segmentation on the basis of area, contemplating the particulars of earnings and sales pertaining to marketplace.

An interactive dashboard that provides an inventory of open data assets and visually presents an overview of the various types of data assets classified as public that have been published to the City of Austin Open Data Portal (data.austintexas.gov) by departmental data owners. *City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj‐cccq

This data asset contains the datasets for the Gender and Inclusive Development Analysis: Final Report, prepared by International Business and Technical Consultants. The Analysis team administered an online survey for USAID implementing partners. The online questionnaire was sent via Survey Monkey to 30 partners organizations, from a list provided by USAID. Twenty-nine IPs replied; one organization was discarded because it is not an implementing partner.

The global Data Asset Management (DAM) in Finance market is experiencing robust growth, driven by the increasing need for efficient management of vast amounts of financial data, including regulatory compliance demands and the rise of digital transformation initiatives within financial institutions. The market, estimated at $10 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $30 billion by 2033. This expansion is fueled by several key factors. Firstly, the growing volume of unstructured data within financial organizations necessitates sophisticated DAM solutions to improve accessibility, searchability, and overall data governance. Secondly, stricter regulatory compliance requirements, such as GDPR and CCPA, necessitate robust data management strategies to ensure data privacy and security. Finally, the increasing adoption of cloud-based DAM solutions offers scalability, cost-effectiveness, and improved collaboration across geographically dispersed teams within financial institutions. The market is segmented by application (Government, Small and Medium-sized Enterprises (SMEs), and Large Enterprises) and by type (cloud-based and local-based). Large enterprises currently dominate the market due to their greater investment capacity and data volume. However, SMEs are expected to show significant growth in the coming years as they adopt cloud-based solutions to overcome resource limitations. Cloud-based solutions are leading the market due to their flexibility and accessibility. Geographically, North America and Europe currently hold the largest market share due to early adoption of DAM technologies and stringent regulatory frameworks. However, Asia Pacific is projected to exhibit significant growth, driven by increasing digitalization across the finance sector in developing economies. Competition in the DAM in Finance market is intense, with a mix of established players like Adobe and newer entrants. Key players are constantly innovating to offer advanced features such as AI-powered metadata tagging, enhanced security, and integration with other financial technology solutions. The market is also seeing the emergence of specialized DAM solutions tailored specifically to the financial sector, addressing unique challenges and compliance requirements. While high initial investment costs and the need for skilled professionals can be restraining factors, the long-term benefits of improved data management, reduced compliance risks, and enhanced operational efficiency are driving market growth. Future growth will depend on continued technological advancements, regulatory changes, and the increasing awareness of the importance of effective data asset management within financial organizations.

All 311 Service Requests from 2010 to present. This information is automatically updated daily.

Click here to download data from 2011 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2011/fpz8-jqf4

Click here to download data from 2012 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2012/as38-8eb5

Click here to download data from 2013 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2013/hybb-af8n

Click here to download data from 2014 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2014/vtzg-7562

Click here to download data from 2015 - https://data.cityofnewyork.us/dataset/311-Service-Requests-From-2015/57g5-etyj

This dataset provides information about public assets on the CT Open Data Portal. It includes datasets that meet the following criteria:

-Published on the data.ct.gov domain -Public -Official (ie published by a registered user) -Not a derived view

It includes assets that are currently published on the Open Data Portal and does not include assets that have been retired.

This dataset provides information about access to public assets on the CT Open Data Portal by day. Types of access include:

-Grid view -Primer page view -Download -API read -Story page view -Visualization page view

It includes assets that meet the following criteria:

-Published on the data.ct.gov domain -Public -Official (ie published by a registered user) -Not a derived view

This table is the primary table for information about work orders, and contains general information - including a description of the work, assigned title, request date and completion date - about each work order. Each row represents a single work order. The primary key field is EVT_CODE. The EVT_OBJECT field can be joined to the Assets table on OBJ_CODE to know which asset the work order was for.

For the User Guide, please follow this link For the Data Dictionary, please follow this link

This asset is a derived view based on the system dataset 'Site Analytics: Asset Inventory' which is automatically generated by the data management platform and provides a comprehensive inventory of all assets on this site. This asset has been filtered to present an overview of the various types of data that are classified as public and have been published on the City of Austin Open Data Portal (data.austintexas.gov) by departmental data owners.

The columns of the Asset Inventory dataset contain information about every asset. These include metadata fields (e.g., Name, Description, and Category), as well as statistics, such as the number of visits, row count, column count, and downloads. This asset is updated at least once per day to sync any changes, additional assets, or removed assets.

Data provided by: Tyler Technologies Creation date of data source: November 1, 2022

*City of Austin Open Data Terms of Use – https://data.austintexas.gov/stories/s/ranj-cccq

The information that is collected, used, disseminated, or maintained in the International Technology Services Admin Services system is used for user identification, authorization, and authentication purposes and can include the user’s name, organizational unit information, office telephone number, electronic mail address, and physical office address to adequately identify the individual for Help Desk support purposes.

Data Center Asset Management Market is expected to reach USD 9,924.99 Million by 2034, expanding at a CAGR of 15.2% from 2025 to 2034

Polygon dataset of Sevenoaks District Assets of Community Value - API and download in British National Grid.

United States - U.S. Assets was 35885452.00000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, United States - U.S. Assets reached a record high of 35885452.00000 in January of 2024 and a record low of 371424.00000 in January of 1976. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - U.S. Assets - last updated from the United States Federal Reserve on July of 2025.

The approximate physical location of each individual Public Housing Building. If the building has more than one entrance or street address, the address of the entrance with the highest number of units and best possible geocode was chosen to represent the building location.

Laos CB:Net Foreign Assets: Assets data was reported at 8,362,610.000 LAK mn in Jun 2018. This records a decrease from the previous number of 10,430,230.000 LAK mn for Mar 2018. Laos CB:Net Foreign Assets: Assets data is updated quarterly, averaging 8,448,150.000 LAK mn from Mar 2013 (Median) to Jun 2018, with 22 observations. The data reached an all-time high of 10,430,230.000 LAK mn in Mar 2018 and a record low of 5,217,800.000 LAK mn in Sep 2013. Laos CB:Net Foreign Assets: Assets data remains active status in CEIC and is reported by Bank of the Lao PDR. The data is categorized under Global Database’s Laos – Table LA.KB006: Balance Sheet: Commercial Banks.

Graph and download economic data for Mutual Funds; Total Financial Assets, Market Value Levels (BOGZ1LM654090000Q) from Q4 1945 to Q1 2025 about mutual funds, assets, and USA.

Information about accesses (visits) of city data assets. Combines analytics from both employee (citydata.mesaaz.gov) and public data (data.mesaaz.gov) portals.

The following usage types are included in the Access Type column: grid view – tabular view of the dataset / filtered view primer page view – dataset / filtered view’s homepage, includes metadata and table preview of the data download – download of the dataset / filtered view to CSV, JSON, etc. api read access – programmatic access of dataset/filtered vew, etc. story page view – accessing a story page asset visualization page view – accessing a chart or map asset measure page view – accessing a performance measure asset

Usage data are segmented into the following user types: site member: users who have logged in and have been granted a role on the domain community user: users who have logged in but do not have a role on the domain anonymous: users who have not logged in to the domain Data are updated by a system process at least once a day.

Please see Site Analytics: Asset Access for more detail.

Assets of Community Value in Tunbridge Wells Borough

Cloud Computing Data Center IT Asset Disposition (ITAD) Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2031.

Cloud Computing Data Center IT Asset Disposition (ITAD) Market Drivers

Increasing Data Center Refresh Cycles: The rapid pace of technological advancements is shortening the lifespan of IT equipment, leading to a higher volume of assets requiring disposal. Data Security and Compliance Concerns: Stringent data privacy regulations (GDPR, CCPA, etc.) and the risk of data breaches compel organizations to implement robust data sanitization processes. Environmental Sustainability: Growing environmental concerns and the emphasis on circular economy principles are driving the demand for responsible ITAD solutions. Cost Recovery and Revenue Generation: Recovering value from disposed IT assets through resale, refurbishment, or recycling can offset IT expenses.

Risk Mitigation: Proper ITAD management helps organizations avoid legal and reputational risks associated with improper disposal of electronic waste. Cloud Migration: As organizations shift to cloud-based infrastructure, the need for efficient ITAD services to manage on-premises IT equipment becomes critical. Global Expansion: The increasing number of data centers worldwide due to globalization and digital transformation creates opportunities for ITAD service providers.