Silwood blogs
Unlocking AI Value: Solving Data and Metadata Challenges in the Enterprise
Many enterprise AI projects stall before they start — not due to bad models, but because the data is unclear, incomplete, or inaccessible. This blog explores how poor metadata discovery in systems like SAP, Salesforce, and legacy apps derails progress — and why modern, automated metadata tools are now essential to AI success.
Read the latest blogs from our team
So Your Product, Safyr, Does Data Discovery?
Providing context to your data discovery projects.
The Importance of Metadata in Master Data Management: A Guide
Explore the significance of metadata in Master Data Management (MDM) and its vital role in data model understanding and MDM project success.
Application Data Model Examples
Showcasing Safyr's power in extracting metadata for ERPs.
Application Metadata In An Agile Data Warehouse World
Explore Agile Data Warehousing and the crucial role of source data analysis in achieving flexibility and efficiency.
Discovering the Data Behind Your Applications
The blog emphasizes the research phase required to identify data dictionary tables and how Safyr streamlines the process, reducing extraction time.
Overcoming the Challenge of Source Data Analysis
Illustrating problems with BI/Data Warehousing projects and other Information Management initiatives.