Digital Asset and Digital Asset Management Analytics
Digital Asset is the loudest buzz in today’s business ecosystem due to its ease of accessibility. This could be in the form of documents, audios, spreadsheets, websites, presentations, logos, videos, etc. As a result, digital assets being vast in nature need to have an organized process and system to ensure effective management and maintenance. The AI-based Advanced and Predictive Analytics are the foundation of maintaining the Digital Asset. They are software with AI technology and related solution as an array of tools to make the digital asset management process easier.
Features of Digital Asset Management Analytics
The idea behind the emergence of Digital Asset Management Analytics is the feature that defines its use cases. Such analytics has three core applications based on which multiple use cases are formed. Moreover, the advanced analytics involved in the management of Digital Asset is gaining huge momentum because of the features mentioned below:
|Management||The software is inbuilt with advanced analytics and works on the metadata that provides the content and file description to facilitate easy search. With such advanced search features, the data use and implication become highly organized. Furthermore, such tools also provide analytical reports for the activities related to digital assets.|
|Sharing||The analytics software consists of an array of tools to help in sharing files which facilitate sharing of digital assets easily on the various social media accounts. As a result, it allows the faster collaboration of digital assets with its internal and external environment.|
|Security||Digital Assets are becoming an integral yet sophisticated part of the business organization in recent times. As a result, files and the content require strong encryption to keep them safe. The powerful analytics software eases the job by limiting the right of the owner and predicting the potential threats.|
Metrics/ KPIs for Digital Asset Management Analytics
Digital Asset Management Analytics is indeed a powerful tool as it is based on several diversified KPIs which do not allow compromise on any ground.
|Download and Tags||Digital assets are the widely spread asset class and the more they are downloaded, mentioned, tagged, and reshared better performing they are considered. As a result, such analytical tools are developed to keep a track of the performances of the digital assets which serve as the basic KPI for the digital asset.|
|Search Results||The major objective behind creating the digital asset is to ensure better reach and accessibility. Thus to access this performance of the digital asset the focus is on the search time and results. If the search time is low and results are more, the asset is said to be performing well and vice-versa.|
|Periodic Asset Requests||Besides tracking the download volume, tag frequency, and search results, it is important to analyze the request spectrum of the digital asset too. It includes considering which assets are most requested and by whom. As a result, it allows the organizations to tune well with the expectations of the end-users.|
Tools used for Digital Asset Management Analytics
There are several tools and software supporting the journey of the digital asset and benefitting their complete ecosystem. Some of the known software acting as the Digital Asset Management Analytics is as follows.
|Adobe Experience Manager||It is one of the leading names when it comes to Digital Asset Management. This software allows easy connection with other Adobe software like Marketing Cloud and Creative Cloud to provide an organized experience to the users. As a result managing data and asset files through Adobe becomes a seamless process.|
|Interplay MAM||The software is seen as an integrated tool with several the compilations of several other products such as the Media Central platform allowing easy access to local and cloud storage for digital assets. Its analytical and reporting tools prove helpful in tracking the performance of the digital assets and take profitable and well-researched decisions.|
|Cloudinary||Cloudinary is widely used to ease the uploading, downloading, and storage tasks relating to digital assets. Alongside, it also offers an added tool to edit the files before uploading. These are generally used by companies focused on media services where high-quality digital content is the key to success.|
|ImageKit||As the name suggests it is the image optimization tool that allow real-time optimization of the digital assets that are in the form of images. It is a user-friendly platform where despite the several edits the image quality is not compromised.|
|Panopto||It is considered a full-fledged tool for companies as it consists of rich features for managing digital assets. These features include live casting, video analytics, live DVR customization, and system-wide advanced analytics. Thus, it provides a rich experience to the users with a little buffering time regardless of the internet speed.|
Over the last decade, the number of digital assets in each industry has grown significantly. The reports of Harvard Business Review suggest that the number of digital assets has just doubled in the past 15 years. The market for Digital assets was recorded at $2,64 billion in 2019 while it is expected to grow to $5.7 billion by 2023. This indicates the growing inclination of the industries toward digital assets which further gives rise to the need for Digital Asset Management Analytics too.