Data Man­age­ment
- your entry into a data-driven business.

We follow a comprehensive and neutral approach to evaluating your information and data architecture, then bring our expertise to develop a suitable target architecture and roadmap for your data strategy. Wherever you want to go and whatever you want to do -  cloud, more AI, data engineering, self-service BI with storytelling, building a data lake or a data catalogue – we’ll get you there!

synvert works with you to identify achievable and meaningful use cases, in order to ensure that the adoption of new data and technologies can be effectively realised and result in tangible benefits. Our proprietary tools for developing, coordinating, and documenting analytical use cases provide invaluable support in the strategy definition process.

At synvert, we see data as a valuable asset that should benefit the entire organisation. We understand the critical role of data governance and effective data management practices, including data quality, metadata management, master and reference data, information security, content and knowledge management, and their interaction with the overall data strategy. Our synvert Data Governance Framework provides a structured approach to address all these topics.

We fully understand that data strategy is not just an IT issue, but can affect the whole organisation, and thus requires a broader perspective that encompasses change management, communication, organisational transformation and process optimisation. The target data strategy must encompass these aspects to ensure successful adoption.

When developing a data architecture, it is important to define clear use cases. synvert supports you in identifying the necessary data from internal and external domains, by choosing the right technologies, and with goal-oriented roadmap planning in project management.

Depending on how the new architecture integrates with your existing systems, a decision must be made on whether to design it on premise, in cloud, or in a hybrid environment. By conducting proof of concepts (PoCs) and pilots, and offering support for tool selection, system integration, and logical architecture development, synvert ensures that your new systems will seamlessly align with your existing ones.

The implementation of data governance supports you in maintaining the standards of your data architecture. A clear distribution of roles and responsibilities ensures business processes running in a standardized, workflow-supported manner and your employees maintain an overview through business glossaries and data catalogs, thus improving their data literacy.

synvert employs generic industry and use case models to provide agile data modelling concepts. Ready-made data marts and data product structures for a wide range of use cases, including data vault and anchor modelling, ensure that your new data architecture adheres to best practices and industry standards.

As you develop your data architecture, data quality and preparation should be prioritised.  Defining data quality KPIs, and implementing their measurement and visualisation, are vital in maintaining high levels of data quality. synvert can help you with the design and implementation of automated data pipelines, as well as various integration patterns (CDC, synchronous, asynchronous, bulk, ETL/ELT, streaming, etc.) to ensure that these standards are met.

When designing and implementing a data governance strategy, synvert follows its own specially developed data governance procedure model which encompasses governance components in areas such as strategy, organisation, communication and change management, acting as a starting point and a template easily adapted to your specific needs.

The synvert Visual Metadata Layer (sVML) is a tool for visualising metadata maps, aimed at simplifying navigation in a data catalogues and extending it with additional features, such as aggregation. It is compatible with catalogues from various vendors and can calculate aggregations and statistics, graphically represent relationships, and help identify connections between records.

With a wealth of projects under our belt, synvert is a leading consulting company in the fields of metadata management and data cataloguing. Its combination of conceptual expertise and technical proficiency ensures project success.

At synvert, we provide support in developing a comprehensive MDM strategy that spans your entire organisation. We work closely with you to define use cases, plan roadmaps, and manage your MDM projects to ensure success.

We design your MDM platform so that it integrates seamlessly with your existing systems, and test its functionality with PoCs and pilots to ensure you can achieve your goals quickly and efficiently.

Drawing on our extensive experience in building data governance systems, we implement your MDM meticulously, defining roles and responsibilities, establishing robust standards and best practices, and designing efficient workflows for acceptance and review processes. Our approach guarantees long-term MDM success.

In workshops, we work with you to identify relevant data domains, and to develop master and reference data models, based on our comprehensive generic industry and data domain models.

We conduct an in-depth analysis of your data landscape to assess the quality of your master data, and based on this analysis, implement effective processes for data cleansing, enrichment, golden record creation, and so on. To ensure the sustained success of your MDM programme, we establish then measure and evaluate data quality KPIs.