Helping world-class firms make the most of their data
You need to have complete confidence in your data for it to be useful.
Metadata management plays a central role in improving the quality and relevance of your data, enabling higher productivity across your enterprise.
Aiming to further characterize data assets for your organization's team members to find and comprehend domain context, metadata management offers them the tools to solve even the most complex business problems.
Datavid Rover’s metadata management tools increase the value of each piece of data—helping you deliver better user experiences and a higher bottom line.
Eliminate data silos and duplication
Different teams within an organization may use different naming conventions, labels, or definitions for the same data, leading to data silos and duplication. Datavid Rover’s metadata management solution solves this by ensuring data is uniformly labelled and specified across various systems and applications.
Improve data context and lineage
With ever increasing data, users find it challenging to comprehend the context and history of the data, which results in errors, inconsistencies, and non-compliance. Datavid Rover’s metadata management solutions provide a full picture of your data assets and their relationships with other assets (both internal and external), allowing users to comprehend the context and provenance of data, make better decisions, and increase productivity.
Enhance data quality and accuracy
Data quality is the foundation of good data management, and the importance of it cannot be overstated. Data that is poorly labeled, misclassified, or incorrectly defined leads to poor business results. With Datavid Rover’s metadata management solution, you ensure that data is correctly categorized, labeled, and specified within its specific domain—allowing your teams to search for, organize, and study it in their own language.
Increase productivity at many operational levels
If you can store and manage data effectively, it becomes a treasure trove of real-life information that can affect your business in tremendous ways: lower customer churn, faster product research, higher compliance, and more. Datavid Rover goes a step further by classifying your data with domain context from detailed ontologies, enabling use cases like semantic search.
With proper classification, you cut down the time to find relevant information—improving workflow automation and providing deeper business insights.
Improve your data governance and stay compliant
For effective data governance, you need to have a framework enabling your organization to manage data in a consistent and compliant manner.
This is where Datavid Rover’s metadata management tools come in.
They allow you to maintain accurate and comprehensive metadata, helping you better understand and manage your data assets, reduce risk, and ensure compliance with data protection regulations such as GDPR, HIPAA, or PCI DSS. This will ensure that your organization avoids costly fines, penalties, and legal liabilities, while also building trust with your customers and stakeholders.
Lay a path towards strong business growth
Staying relevant and competitive requires quick and effective decision-making.
But to identify opportunities quickly, you need to understand the context of what's happening around you, making informed decisions based on data insights.
Datavid Rover’s metadata management capabilities simplify this time-consuming task for you by making it easier to find and analyze data—providing a 360-degree view of data assets, including information on lineage, ownership, and usage.
By making data more accessible and usable, including in front-facing applications, you remain relevant to your customers while staying one step ahead of the competition.
Boosting customer satisfaction and revenues
BSI faced the challenge of building a more powerful search system within their Compliance Navigator, allowing for contextual results and increasing customer satisfaction.
Datavid proposed a solution based on the use of the knowledge graph, built on ontologies, capable of tracing the relationships between concepts and the BSl standards database.
The solution included a UI/UX technology upgrade, resulting in greater customer satisfaction and higher revenues.
The new semantic search functionality shows results for related standards, even when search terms are not precise. Additional features include advanced search and creating templates.
Working with the consultants at Datavid was a great experience, they always guided us in the right direction and delivered significant value in short span of 3 months.
PRODUCT MANAGER AT BSI
Your questions. Answered.
An example of metadata management is a library catalog system that stores information about books, including titles, authors, publication dates, and keywords. This metadata enables users to search for and find specific books efficiently.
Metadata management involves tasks like creating, capturing, storing, organising, updating, and providing access to metadata. These tasks ensure that data and information are well-documented, searchable, and properly structured for efficient retrieval and use.
Metadata management focuses on managing information about data, such as descriptions, structures, and relationships, to make data more understandable and discoverable. Data management, on the other hand, involves handling the actual data itself, including storage, retrieval, processing, and ensuring data quality and security. Metadata management complements data management by enhancing the usefulness and accessibility of data.