Datadobi has strengthened its StorageMAP platform with the release of its Advanced Storage Optimiser, a new feature designed to help enterprises better manage data as unstructured environments become larger, costlier, and more complex to govern.
The new capability gives organisations deep visibility into inefficiencies, helping them pinpoint waste, unnecessary duplication, and opportunities to optimise storage tiers. It identifies data that is outdated or unused, allowing teams to prioritise cost-saving actions and model the return on investment of competing strategies before implementing them.
Reports generated by the tool can be tailored to suit different audiences — from senior leaders seeking high-level insights to technical teams needing more granular detail. Continuous monitoring ensures environments stay under control long after initial optimisation.
Increasing automation and strengthening governance
StorageMAP 7.4 also introduces more advanced governance and automation features. Enterprises can now set automated reporting cycles, delivered directly via email, ensuring stakeholders are regularly updated without relying on manual processes.
Reports can be exported as PowerPoint for executive review or as structured tables that integrate cleanly with broader enterprise workflows.
Datadobi has also expanded its cloud support, with deeper integration for Microsoft Azure Blob archiving to streamline data tiering and long-term data retention.
Analysts highlight growing importance of intelligent optimisation
Omdia’s Simon Robinson said solutions like StorageMAP are becoming ever more important as organisations battle accelerating data growth. He noted that the ability to model cost-saving scenarios and automate insight delivery “makes it a powerful tool for enterprises looking to turn unstructured data from a liability into a strategic asset.”
Datadobi’s VP of Product Marketing, Steve Leeper, added that unstructured data remains a challenge for many. “With StorageMAP 7.4, we’re equipping organisations with the intelligence and automation needed to take back control of their data,” he said.
