Data Management • Free Assessment

Data Management Consultation

Optimize data lifecycle, retention, and storage across distributed environments. Free 30-day assessment.

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Common Data Management Challenges

Retention Limits Driven by Budget

Deleting data after 7-30 days not because you want to, but because cloud storage costs would bankrupt the department.

Can't Search Historical Data

Engineers need data from last month to diagnose issues. It's already gone. No way to search - you have to know exactly when and where to look.

Storage Costs Spiraling

Petabytes of raw data in cloud storage. Costs growing faster than budget. No way to reduce without losing data.

Data Gravity Problem

Data stuck in expensive platforms. Moving it costs a fortune. Can't optimize without massive migration.

Manage Data Where It Lives

Index at the source, store locally, search globally - 5-year retention for less than 7-day cloud costs

Source-Level Indexing

Index data at creation point - edge devices, remote locations, on-prem servers. Store metadata, not raw data. Petabyte problem becomes gigabyte problem.

99% storage reduction

Local Long-Term Storage

Keep raw data on cheap local storage at the source. $0.003/GB/month vs $0.023 cloud. Go from 7-day to 5-year retention for less money.

5-year retention, lower cost

Global Search

Search across all locations from central interface. Find relevant data in seconds. Retrieve only what you need.

Searchable history

Tiered Storage

Hot data at source, warm data on local NAS, cold data on object storage. Automatic lifecycle management.

Optimized costs

What's Included in Your Assessment

Data Flow Mapping

We map where your data is created, where it moves, where it's stored, and what it costs

Deliverable: Complete data flow diagram with cost breakdown

Storage Cost Analysis

Calculate current storage costs vs. projected costs with local storage and indexing

Deliverable: ROI projection with 3-year savings estimate

Retention Optimization

Design retention strategy that meets compliance needs without breaking budget

Deliverable: Retention policy recommendations

Migration Roadmap

Step-by-step plan to implement source-level indexing and local storage

Deliverable: 90-day implementation plan

Real-World Examples

Power Utility: 7-Day to 5-Year Retention

Challenge

Tens of thousands of sensors. Data deleted after 7 days because cloud storage would cost millions. Engineers couldn't diagnose recurring issues.

Solution

Index sensor events at substations. Store raw waveforms on local NAS. Search 5 years of history, retrieve only needed time windows.

Result

99% data reduction, 5-year retention, $1.8M annual savings, searchable history

Smart City: Video Analytics Storage

Challenge

Thousands of cameras. Raw video deleted after 3 days due to storage costs. No way to search historical footage.

Solution

Index video at edge. Store raw footage locally. Send only metadata and flagged events to cloud. Search by object, time, location.

Result

90-day retention vs. 3-day, 95% bandwidth savings, searchable video archive

Manufacturing: Equipment Telemetry

Challenge

Factory sensors generating terabytes daily. Cloud storage costs unsustainable. Deleting data needed for predictive maintenance.

Solution

Index telemetry at factory edge. Local storage for raw data. ML models run on-site. Only anomalies sent upstream.

Result

1-year retention vs. 14-day, 80% cost reduction, better predictive maintenance

Expected Outcomes

99%

Data volume reduction with indexing

5 years

Retention vs. 7-30 days typical

70%

Storage cost reduction

Seconds

Search time across years of data

Deleting Data You Might Need?

If your retention limits are budget-driven, not policy-driven, we should talk. Book a free assessment.

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