Whether you work for commerce, industry, government, education, non-profit or the security services, data has become one of the most valuable resources you could have, enabling you to transform performance and achieve your goals.
Our world is already mirrored by a parallel world of data with a “digital twin” existing for almost all items in the real world.
“Those who use data and AI are beating those who don’t”
When approached as a key resource to transform decision-making, data becomes a source of transformational value creation.
This requires the ability to leverage data, to learn from data and to be confident that data is up-to-date, complete, accurate, authenticated and that you have permission to use the data. You can then develop the digital assets – models, intelligent agents, cluster segmentations or classification applications – that are the value creating engines inside the most successful companies today.
This requires making data usable by both human andmachine – enabling better decision making with interactive dashboards using Business Intelligence and smart propositions with Artificial Intelligence. This requires a specific strategy to manage your data!
Escape from the “Tower of Babel”
The current approach to data of many organisations resembles the Tower of Babel – there is a lot of data but this is poorly structured, incomplete, of low quality or cannot be shared due to formatting or other technical limitations.
Apply the techniques used by the data leaders – using meta data and an ontology to link data sources, establishing governance and enabling data managers to perform their role with tools, ensuring data lineage, data security and compliance with privacy regulations.
The good news is that you don’t have to re-invent the wheel – there are good practices that can be applied quickly to help you become data driven!
Develop your approach to Data Management with Axveco
We have developed an approach to Data Management which enables you to achieve leadership in the data driven world. This approach is supported by the Data Management Foundation learning path.
This approach helps you to:
Manage Data and Digital Assets for your business needs
Share Data and Digital twins internally and across an ecosystem
Develop a data strategy, architecture, ontology and meta data
Safeguard the data you use with effective security
Govern and leverage data usage across your business and ecosystem
Continually improve the maturity of your data management approach
Our approach is delivered by experienced data consultants and can be applied in most business environments. We are also creating a new learning path to enable our clients to rapidly adopt the required techniques – launching in Q4 2022 (see opposite).
Progress to the specialist areas of FAIR and Linked Data Management
FAIR data management is a set of principles and an approach to labelling data such that it is Findable, Accessible, Interoperable and Re-usable. Linked Data is a technology to manage the definitions and sharing of data across an ecosystem. Linked Data can be used to implement FAIR Data Management or independently to implement any data definition and share data between parties.
For FAIR Data Management we offer the following learning paths:
The Fasttrack path is an ideal entry level if you are unfamiliar with FAIR Principles and Linked Data management. In the Fasttrak, you will discover the FAIR principles, how to apply them, their relevance and possible benefits.
The Awareness path provides details on all aspects of the FAIR Principles and Linked Data technology. This is relevant for those who wish to gain a solid understanding of the FAIR Guiding principles, their impact and benefits, application workflows, and the role of Data Stewardship.
The Stewardship path equips you with detailed information on the organisational implications, available tools, and prerequisites to embed the role of FAIR Data Stewards in an organisation. This learning path enables you to plan, prepare and execute the necessary steps on the roadmap to FAIR Data and Services.
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FAIR Data Fasttrack
Discover what the concept of FAIR Data Management is and how to manage data using Linked Data technology
For Linked Data Management we offer the following learning paths:
The Essentials path is an ideal starting point for anyone to learn about Linked Data and the concept of a Resource description Framework (RDF)
The Foundation learning path is relevant for analysts, engineers, architects and others with an interest in experiencing hands-on what working with RDF is like. It lays the foundation for more advanced courses on SPARQL, SHACL and combining Linked Data and geospatial data.
The Conceptual Modelling UFO Basics learning path is relevant for data analysts, information analysts, information architects, ontologists, and any other professional who needs to work with ontologies, design ontologies, or need to understand the quality aspects of ontologies. After finishing this course, you will be able to apply basic UFO-techniques in all your modeling work.
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Linked Data Essentials : Why, What, What For
This learning journey introduces the essential features of Linked Data. For Decision makers and curious professionals.
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