The Current State of MDM – Part 4 – How Integrated, and Integral, is MDM?
Modern MDM solutions have impressive Data Quality functionality. But do they have impressive data quality? Maybe it’s time for their relationship to evolve.
Snowflake is a market leader in the cloud data warehouse and data lakehouse space. But simply putting all your data in one lakehouse doesn’t mean it’s ready for AI. Data must be improved, matched, linked, governed and put in context for each AI use case.
Q Spark Group are experts in improving data lakehouse and data engineering programs. We focus on delivering these solutions within Snowflake’s AI Data Cloud:
Modern MDM solutions have impressive Data Quality functionality. But do they have impressive data quality? Maybe it’s time for their relationship to evolve.
Great news! You’ve implemented and migrated to your cloud MDM! But you’re not done yet. In this blog series on MDM Cloud Migration, we have explored 3 steps – planning, expertise, and execution.
Operational MDM projects that are caught in no-man’s land. In this sort of project, MDM ingests data from operational systems like CRM and ERP, match data records, and provide master data back to operational systems and processes.
Q Spark specializes in delivering best-in-class data management solutions within your Snowflake AI Data Cloud. We can deploy and manage Snowflake, as well as deliver catalog, governance, curation, data quality, MDM entity matching, data sharing and preparation solutions. Let us know your area of interest and we will provide you with more information on our solution offerings.
QSG’s monthly newsletter is filled with insights, best practices, and success stories from our customers’ experiences in utilizing modern technology to improve their business.