/ Data Management
Data Management Consultation
Optimize data lifecycle, retention, and storage across distributed environments. Free 30-day assessment.
/ Challenges
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.
/ What We Do
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 You Get
Data Flow Mapping
Complete data flow diagram with cost breakdownWe map where your data is created, where it moves, where it's stored, and what it costs
Storage Cost Analysis
ROI projection with 3-year savings estimateCalculate current storage costs vs. projected costs with local storage and indexing
Retention Optimization
Retention policy recommendationsDesign retention strategy that meets compliance needs without breaking budget
Migration Roadmap
90-day implementation planStep-by-step plan to implement source-level indexing and local storage
/ 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.