Using Metazoa to Enhance Data Quality and Achieve AI Readiness for Salesforce
Metazoa has created a suite of tools to help Salesforce administrators, developers, and business analysts use AI for org management. Our efforts compliment the Salesforce roadmap and bring the power of AI to mission critical problems including data quality, technical debt reduction, and security optimization.
How To Split A Salesforce Org Into 2 Or More Instances
Have you ever heard of Salesforce Org Splits? It may sound like a complicated term, but it’s actually a process that can help streamline and optimize your Salesforce account.
Best Practices for Org Splits, Clones, and Reboots
Metazoa provides a powerful tool chain capable of conducting complex org splits, clones, and reboots on the Salesforce platform. This whitepaper outlines the best practices for setting up and using our Snapshot product for this purpose.
Salesforce DevOps Vs Org Management – Which one do you need?
Administrative Deployment Vs. DevOps Deployment
Snapshot provides a best-of-breed solution for data migration, freeform deployments, release management, technical debt reduction, and org splits and merges.
Introducing Metazoa Org Health Scan
Metazoa Org Health Scan can run 75 tests on your org and discover security risks, configuration problems, forgotten assets, technical debt, inactive emails, and buggy code.
The Metazoa Technology Roadmap
Metazoa has a long history of technological innovation on the Salesforce platform. This whitepaper outlines some of our recent product innovations and details our technology roadmap moving forward.
Beware The Technical Debt Imposters: How To Tell The Difference
There are quite a few companies out there claiming to be experts on technical debt. Do they just “detect” technical debt, or can they actually remove it? If their description of technical debt sounds vague then they can’t help you fix it.
Snapshot Is Not Impacted By Log4j
Salesforce administrators often use GitHub or other online repositories to store Org Metadata. What are the risks of storing Metadata in the cloud?