Storage optimization analytics solution

Solve your enterprise data storage challenge—cutting storage costs and improving insight discovery—with search, analytics, and AI

The enterprise data storage challenge

Enterprises routinely maintain Petabytes of content in expensive on-premise storage. Consider the data flowing into your file systems, content management systems, databases and various business applications. Terabytes of data are added to enterprise servers daily, with on-premise data storage costing up to hundreds of dollars per terabyte per month. Managing this extraordinary growth and exponential increases in storage costs is a major challenge.

While basic storage solutions can count the bytes and even de-duplicate data, they can’t compute the business value of content or the risk of losing data. For CIOs, IT leaders, and content owners, knowing how much of that data you need and how much of it is low-value, outdated, or duplicate is essential. Having the answers allows you to confidently remove, archive, or move data to lower-cost cloud storage.

Storage Optimization Analytics

Accenture's Storage Optimization Analytics solution provides IT departments, CIOs and content owners with visibility for lower-cost storage. See more.

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Global volumes of data are expected to surge from 33 zettabytes at end of 2018 to 175 zettabytes by 2025—a compounded annual growth rate of 61 percent (Network World).


Traditional on-premise storage costs over three times more than public cloud storage (Blocks & Files). Moving the right data to the cloud can save millions of dollars in annual storage costs.

Reduce millions in data storage costs

Accenture’s Storage Optimization Analytics solution combines search and AI to understand enterprise content and automate data classification. It enables companies to reduce significant storage costs and maximize the value of their content.

Visibility into data

Provides deep understanding and actionable insights into enterprise content in high-cost storage.

Intelligent content identification & classification

Cuts storage costs by using search and Machine Learning to rapidly detect duplicate or near-duplicate content to help move or archive the right data.

Custom business rules

Applies domain-specific business rules to identify eligible content and automate migration to lower-cost storage with confidence.

Cloud readiness

Leverages the flexibility and cost saving advantages of public cloud solutions while ensuring security and compliance.

ROI reporting

Tracks storage cost savings (potentially millions) and computes ROI in real-time.

Insight discovery

Accelerates value discovery and enhances decision making through a 360-degree view of enterprise data.

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A custom-built solution for your enterprise needs

Accenture’s storage optimization analytics solution overcomes the limitations of standard storage management software. We leverage search, NLP and Machine Learning expertise to deliver a powerful end-to-end solution.


Identify business objectives and low-cost storage vendors as well as computing potential savings and ROI.


Deliver a working application, custom business rules, automated data classification capabilities, user search and analytics dashboard, and reporting.


Incorporate diverse content sources and NLP, analytics, and Machine Learning techniques to enable a 360-degree view of enterprise content.

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Storage optimization analytics

Read our white paper to learn more about how our Storage Optimization Analytics solution can help gain visibility into your enterprise content and reduce millions of dollars in storage costs.


Search & content analytics blog

Our experts discuss the latest trends and best practices for using AI-powered search and analytics to unlock more insights and achieve greater outcomes.

Leveraging AI in the digital workplace

How AI technologies like Natural Language Processing and Machine Learning can help improve insight discovery and decision making in data-driven enterprises.

Intelligent document analysis with NLP and ML

Natural Language Processing (NLP) techniques for deriving insights from unstructured data—text documents, social media posts, mail, etc.

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