Digital Asset Data

What is Digital Asset Data?

Digital asset data is information about intangible assets in the digital world. Examples of digital assets are photos, videos, spreadsheets, graphics design like logos and artworks, audio files, websites, cloud servers, cryptocurrency, and PDFs/eBooks. This data is a list of available digital assets in the market for purchase or for usage. Illegal use of digital assets comes with fines and possible punishments. Digital asset data also helps the company’s brand awareness. 
 

How is Digital Asset Data collected?

Digital asset data is collected through various sources. These sources include an online forum and community, websites, cloud servers, and multiple databases. Collecting digital asset data requires the identification and validation of the rightful owners of the digital assets. The collected raw data is converted to clean data by filtering and organizing the raw data. Then, this data goes enrichment process where third party data are mixed to provide additional benefits and create better insights. This data then put into data repositories for storage and sale.
 

What are the typical attributes of Digital Asset Data?

Due to the complexity of digital assets, the common attributes are:

• Digital asset info - this refers to details about the type of digital asset – videos or phots etc. This also includes the digital owner.
• Price and availability - these refer to the price of the assets – current or historical. The availability of the asset is also included and payment methods.
• Digital downloads - this refers to the number of times an asset is downloaded or used. This may include an online subscription to digital products and services. 

What is Digital Asset Data used for?

Digital asset data is used by marketers, investors, and advertisers. Advertisers use this data to promote brand awareness and recognition based on the visual representation of your product and services. Marketers use this data to the target audience and engage through different online platforms. Investors also use this data to gain insights about possible business opportunities like providing digital storage. Organizing and managing digital asset data properly eliminates the wastage of business’ time and resources.

How can a user assess the quality of Digital Asset Data?

For users to assess the quality of digital asset data, they must first verify and validate the source of the data. Reliable data originated from credible information. Second, they must observe that the data is relevant. Relevant data must match its intended purpose. Third, they must be accurate. The timeliness of data must be observed, and the data must be error-free and frequently updated. Lastly, reading an online review about the data providers ensures that their digital asset data is high quality.

Who are the best Digital Asset Data providers?

Finding the right Digital Asset Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Digital Asset Data providers that you might want to buy Digital Asset Data from are Digital Assets Data, Kaiko , Cryptoquote, Flipside Crypto, and Cryptoindex.

Where can I buy Digital Asset Data?

Data providers and vendors listed on Datarade sell Digital Asset Data products and samples. Popular Digital Asset Data products and datasets available on our platform are Tick-by Tick Trade Data by Kaiko and NCFX Cryptocurrencies by New Change FX.

How can I get Digital Asset Data?

You can get Digital Asset Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Digital Asset Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Digital Asset Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Digital Asset Data?

Digital Asset Data is similar to Cryptocurrency Data and Forex Data. These data categories are commonly used for Digital Asset Data analytics.