Data Cost Calculator
As recognized by the ongoing engagement at GE with Ai Data Detect, enterprises are overwhelmed with data. Much of this has exceeded retention, is not a business record, has no compliance or legal preservation requirement, and should be deleted. But since organizations can’t manage what they can’t identify, clarify or profile, data continues to grow unabated, leading to escalating costs and increased data risk. As a result of this over-preservation, enterprises are spending millions to store and analyze this data. This hurts their bottom line and diminishes the value and efficacy of analytics programs aimed at deriving business insight from this data.
Ai Data Cost Calculator
The Ai Data Cost Calculator demonstrates how the use of AI-infused technology drives cost savings in data storage for organizations. By accurately analyzing the impact of implementing Ai Data Connect & Detect Smart Archiving solutions, organizations optimize their storage usage and appropriate tiering to reduce costs dramatically.
The Ai Data Calculator provides industry baselines and allows for assumptions to be tailored to each organization, first to project estimated cost reduction opportunities and then to retrospectively report on actual savings as storage optimization programs utilizing the power of Ai Data Detect are implemented and operated.
Utilizing Ai Data Detect, c1 Advantage and the GE Core Tech Team have combined to solve GE’s big data problem. The calculator operates based on the following assumptions like those in the GE engagement:
Managing over 26 petabytes [PBs] of storage, GE found itself grappling with the complexities of an ever-expanding storage estate. With a looming divestiture deadline driving the project timeline, the c1 Advantage team, working with GE CoreTech, established the scope of the initial program to analyze approximately 10 PB of critical data Tier 2 and Tier 3 storage for simple ownership, age, and last access characteristics.
Ai Data Cost Calculator Demonstrated by the GE Engagement
Utilizing GE’s storage tier cost and conservative data growth assumptions, the Ai Data Cost Calculator shows that the organization’s estimated total data storage usage after 3 years is 10,068 terabytes, divided into Tier 2, Tier 3, and Cloud storage tiers.
The estimated annual storage costs before optimization analysis using Ai Data Connect & Detect for each tier are $41.0M for Tier 2 and $6.2M for Tier 3, for a total annual cost of $47.2M.
By leveraging Ai Data Detect, GE is able to intelligently re-tier its data storage, moving over 4 PB of data off of expensive Tier 2 storage and moving nearly 6 PB of previously unidentified Dark Data to significantly cheaper cloud-based storage. After optimization analysis using Ai Data Detect for each tier, the estimated annual storage costs are $11.6M for Tier 2, $1.75M for Tier 3, and $3.8M for Cloud storage, for a total annual cost of $17.2M.
Cost Table: Estimated Before and After Reduction per Tiered and Overall Storage Cost Savings
“In support of GE’s divestiture initiatives, GE’s storage optimization project required us to analyze over 10 PBs of data, identify and verify the data’s appropriate business unit owner, classify and assess the age, utilization, and business efficacy of the data, and profile the data based on privacy and sensitivity policies.
Ai Data Detect allowed us to rapidly and accurately identify, classify, and profile GE’s data estate, which provided GE with the ability to re-tier several PBs of storage [with a projected savings of $30M], identify sensitive data exposure and risk, and improve data security with control over data ownership and access.”
- Chris Fennessey, VP of c1 Advantage
