Data Management Consulting
We support organisations to maximise their unique set of data by providing IT and Data Management services.
Data Management Strategy
Data management is an essential part of any successful business, and it’s important to understand the complexities of managing and analyzing data. Our consulting services help you develop and maintain data management strategies that are tailored to your needs.
Cognizone supports organisations to maximise their unique set of data by providing IT and Data Management services with a focus on Semantic Technologies and Linked Open Data. We use open standards and technologies such as RDF and linked data to develop our softwares.
We also provide services in Big Data Analytics, integration and interoperability architectures, and modern software development paradigms such as micro-services and Linked Data Fragments.
Our team is certified in Data Science disciplines and is knowledgeable in the areas of data integration, data quality, data governance, and security.
We use modern software engineerings methodologies such as Agile and DevOps to ensure rapid and reliable delivery of data solutions.
We are experienced in the use of SPARQL, the W3C’s query language for RDF data, and in the development of applications built on top of open and linked data infrastructures.
We understand that each business has its own unique data challenges, and we are experienced in providing custom solutions to fit individual business cases.
Common Data Management Challenges
Organisations that want to maximize their data management capabilities should consider consulting services to develop and implement a comprehensive data management strategy. With the right strategy in place, businesses can unlock the full potential of their data and use it to drive innovation and growth.
At Hanami, our data editor product, we often say that "Poor data management is like a full cellar with poorly organized contents, nothing properly labelled, that fills up every year and remains unmanaged.”
Data management can be a complex and challenging process, and organizations often face a number of common data management challenges:
- Data Quality: Ensuring that data is accurate and up-to-date is an important factor in any data management strategy. Poor data quality can lead to incorrect decisions and can affect the reliability of data-driven insights.
- Data Governance: Having policies, processes, and procedures in place to ensure data is handled according to legal and regulatory requirements is essential for data governance.
- Data Security: Robust security measures are needed to protect sensitive data and to prevent unauthorized access (cyber threats and malicious actors).
- Data Integration: Combining data from multiple sources into a unified system must be done in a consistent, reliable, and secure manner.
- Data Interoperability: Ensuring that data is exchanged in a secure and consistent manner and that data is accurate and up-to-date is key to data interoperability.
- Data Analysis: Gathering, organizing, and interpreting data to identify patterns and trends is an important component of data management.
- Data Visualization & Analytics: Presenting data in a format that makes it more accessible, easier to understand, and provides decision-making capabilities for teams throughout the organisation.
- Data Architecture: provides the infrastructure for storing, integrating, and using data across the organization.
Each of these fields encompasses a body of knowledge that requires research, administration, maintenance, documentation and optimization, made easier with data management consulting services.
We can offer you the most comprehensive data management consulting services
No matter your current level of data management maturity, we can help your organisation create and implement a solid process.
Our consultancy services are designed to help you maximize your unique set of data for efficiency and effectiveness. We will work closely with you to understand your project needs and develop a tailored solution that meets your specific requirements. We can provide technical support and training to ensure that you get the most out of the technologies.
Diagnose
Help us understand your current data management maturity level.
Define your data needs
Gather requirements and aim to understand your organization's needs, the datasets that need to be integrated, and the type of insights that need to be provided.
Identify opportunities
Identify areas of improvement and opportunities in your data management practices.
Create a high-level roadmap
Create a roadmap to take your data management processes to the next level and ensure they meet your needs.
Let’s build together the foundation for knowledge and content management in your organisation.