lightbeam.ai
Reducing Enterprise Storage Costs Through Data Minimization
Pages
16
Time to read
13 mins
Publication
Language
English
Pages
16
Time to read
13 mins
Publication
Language
English
This whitepaper discusses the challenges of unnecessary enterprise data accumulation and its associated costs. It outlines how Lightbeam assists organizations in minimizing storage consumption across various platforms, including file shares and cloud storage. The document details the factors contributing to excessive data, such as duplicate files, abandoned projects, and data left behind after migrations. It presents a model for data minimization, emphasizing the identification and classification of redundant or obsolete data. The paper includes financial scenarios illustrating potential savings from effective data management, with assumptions based on industry research. For instance, organizations managing 1 PB of data could save approximately $140,000 in the first year, while those with 20 PB could see savings of around $2.8 million. The whitepaper also highlights the broader implications of data minimization, including reduced backup costs and improved compliance, thereby justifying the investment in Lightbeam's solutions.