Cloud Data Management
When it comes to data management, it’s in our DNA, and we take it seriously. In a modern, flexible, hybrid world, we only recommend cloud-based solutions for data management, irrespective of where your data resides. Our team of experts in the space will help you find the right solution for your business, driving value at affordable investment costs.
Data & Application Integration – Any Pattern
When it comes to integration, we believe that a tool selection should not limit the type of integration implemented, there is no single integration pattern that suits all use cases, it’s about delivering the right data, at the right time, in the right way, to the right people.
We also believe that integration should no longer be seen in isolation, is the data of the right quality to move it? Do you need to move it/migrate to the cloud and increase digital carbon footprint? Can you track and show lineage? Is the data process governed? Is the end goal a single source of truth within MDM?
Data Quality
We believe that Data Quality is at the heart of any return on investment from utilizing data, if data quality is poor, no data driven decisions should be made from it, it shouldn’t be used for AI or BI, and there is no point migrating bad data to the cloud to increase carbon digital footprint and miss those ESG goals!
Data Catalogue & Lineage
Customers often come to us not knowing where to start in a data management initiative, the task at hand can sometimes be daunting and too large.
The right place to start varies from customer to customer depending on data maturity, but often a good place to start is with Data Catalog, many custemrs don’t have an accessible, digintal record of their metadata, what metadata they have and where it resides, in those situations, Data Catalog is often a great place to start, discover your data by to scanning it to then understand your enterprise data.
Following on from this naturally leads to lineage, quality and governance.
Data Governance
Data Governance enables you to tie together business and technical views of your data and is a natural follow on from Data Catalog and Data Quality.
Dot Group can both advise on agreeing business terms and rules that are important to your business and then implement the tooling to overlay these business rules to the technical views of your data.
The end goals of these initiatives are centred around delivering trusted data to your business in a controlled and governed way.
Data Privacy
Data Governance enables you to tie together business and technical views of your data and is a natural follow on from Data Catalog and Data Quality.
Dot Group can both advise on agreeing business terms and rules that are important to your business and then implement the tooling to overlay these business rules to the technical views of your data.
The end goals of these initiatives are centred around delivering trusted data to your business in a controlled and governed way.
Master Data Management
Our MDM Implementation Approach includes a typical feature set and a well trodden process to first understand the business requirements and then architect a solution in the right way to deliver results.
The process in place is there to deliver a quality golden record, enriched from third party data where possible to enable effective downstream integration to deliver the results that are required, at the same time as implementing processes such as ‘Search Before Create’ to reduce duplications in the future.
