Financial Services Data Management
Cut unstructured data storage costs. Protect sensitive financial data. Govern and enable AI data pipelines.
Why Komprise for Financial Services Companies?
$1M
SAVED Per PB/YEAR
90%
LESS AI DATA NOISE
ZERO
PII, IP Surprises
The Komprise Difference for Financial Services
Financial institutions operate under stringent regulation and must compliantly manage decades of file share growth. They require meticulous data classification, auditing, and retention policies, which are difficult with siloed systems. Komprise delivers visibility into unstructured data across storage and intelligently tiers to cut 70%+ costs without lock-in. Komprise sensitive data detection and mitigation assures compliance with GDPR, DORA, FINRA, and SEC rules. The Global Metadatabase facilitates automated metadata extraction and precise data curation for AI.
Visibility
Sensitive Data
Tiering Cost Savings
Tiering Policies
Financial Services Metadata
Customizable Policies
Cost of Storage Refresh
Compliance Reporting
AI Metadata
AI Ingestion
Analytics & Lakehouses
Focus
Storage-Vendor Data Management
Siloed, storage specific
Limited to no support
Limited, only on storage
Limited, Cluster-Based
None
Limited
Lock-in. Costly Rehydration when Switching Vendors
None
None
Manual
None
Storage
Komprise Intelligent Data Management
Global Analytics Across all Storage and Clouds
Built-in sensitive data detection and handling
Save 70% on storage, backup, DR costs
Flexible per Research Group or Department
Extract Legal, Regulatory & Account Metadata for Rich Contextual Search
Showback by Department with Tiering Policies for each Group’s Unique Needs
No Rehydration Penalty or Data Lock-In
Built-in Chain-of-Custody Reports, Auditing
Serverless KAPPA metadata extraction for PDF, TIFF, EXIF, SWIFT, multimedia
Intelligent Caching Keeps Data Secure in Place while Enabling use of AI. Boosts AI ROI by +80%
Iceberg tables for use in Snowflake, Databricks, et al
Data Management in Regulated Industries
Trusted by Financial Services
Accelerated Cloud Migrations + Savings
A global financial services leader modernizes its environment to the cloud and builds AI into its product portfolio, using Komprise to save more than $500K, accelerate data movement and protect sensitive data.
Governed AI Data Workflows for Finance
Komprise delivers intelligent automation, classification and audit capabilities to keep sensititive financial data safe and compliant. Whether you need to continuously detect regulated information and move it to secure locations or exclude this data from AI pipelines, Komprise delivers deep search and metadata tagging that scales across billions of files.
Avoid Costly Storage Refresh
Cut 70%+ of costs, analyze and tier PDFs, contracts, user documents and multimedia.
- Analyze petabyte-scale financial documents across hybrid storage to understand usage and model costs.
- Transparently tier cold files with custom policies and departmental showback to cut storage and backup costs and reclaim 70%+ flash capacity.
- Eliminate duplicate and orphaned datasets across sites with a single global data view.
Protect Regulated Data
Reduce compliance exposure and ransomware risk across regulated environments.
- Detect and tag PII, FINRA and SEC-compliant data.
- Chain of custody, SID mapping for migrations
- Reduce ransomware attack surface by identifying cold data and tiering it to immutable object storage.
- Enforce policy-driven governance for AI data ingestion to support innovation without risk.
Enable Automated Data Classification for Risk + AI
Deliver granular search, metadata tagging and classification across hybrid IT infrastructure.
- Understand and filter data by metadata insights with a Global Metadatabase.
- Custom metadata extraction for PDFs with Komprise AI Preparation & Process Automation (KAPPA).
- Automate data governance with built-in sensitive data scanning/mitigation, lineage tracking and audits.
Dig Deeper
Case Study
Global Financial Services Leader Uses Komprise to Accelerate Cloud Migrations, Right-Place Data for Savings
As this global financial services leader further modernizes its environment to the cloud and through building AI into its product portfolio…
Video
Data on the Move: Sensitive Data Management
In this Data on the Move interview, Polly and Kumar discuss Smart Data Workflow Manager and sensitive data management for AI data…
WEBPAGE
Komprise Intelligent Data Management architecture
Explosive data growth requires a re-think of how data is managed. Storage capacity is running out, backups are taking longer, and…
Frequently Asked Questions
How does Komprise help financial services firms manage unstructured data for regulatory compliance?
Financial institutions must comply with GDPR, CCPA, FINRA, SEC, DORA and Basel III requirements covering data access, retention, residency, security, privacy and auditing across petabytes of file-based data. Komprise Intelligent Data Management gives compliance teams visibility into exactly what unstructured data exists, where it lives, who owns it, and how long it has been retained. Komprise Smart Data Workflows can automatically classify regulated data by type or content, move it to compliant storage locations, apply retention policies, and flag data that is being stored out of compliance. The Global Metadatabase maintains an auditable record of all data movement and classification decisions, giving compliance and legal teams the documentation they need for audits and regulatory inquiries without requiring manual data inventories.
How can financial services firms reduce unstructured data storage costs without adding compliance risk?
Most financial institutions carry decades of file share growth, with 60-70% of data on expensive primary NAS storage that has not been accessed in over 90 days. Komprise Deep Analytics identifies exactly which data qualifies for tiering by analyzing access patterns, file age, type, and ownership across multi-vendor storage environments. Cold data is then tiered automatically to lower-cost cloud or object storage using Komprise Transparent Move Technology. Komprise TMT stores data in its native format with no vendor lock-in and no rehydration penalties. Compliance data remains accessible and auditable throughout. Users can configure tiering policies to respect retention and residency requirements, so cost reduction and compliance are managed together rather than in conflict.
How does Komprise support AI data workflows for financial services analytics and research?
Financial services firms face growing pressure to use AI for risk modeling, fraud detection, trade analytics, and client intelligence, but AI pipelines require clean, well-classified, and relevant data. Komprise Deep Analytics helps data science teams locate the precise datasets they need by searching across the entire unstructured data estate using metadata criteria including file type, age, owner, project tag, and custom attributes. Komprise Smart Data Workflows then automatically curate and move the right data to the right AI destination, whether that is an S3 bucket, a data lakehouse, or a vector database, without requiring manual data preparation. Data is always delivered in its native format, making it immediately usable by AI models and analytics platforms without format conversion or rehydration.
How does Komprise handle sensitive and regulated data classification in financial services environments?
Financial institutions deal with a mix of sensitive data types including trading records, audit files, contracts, client data, and research datasets, often spread across decentralized NAS environments with inconsistent naming conventions and ownership records. Komprise Smart Data Workflows use keyword search, metadata tagging, and file type classification to identify sensitive data automatically at scale. KAPPA data services automates extracting header metadata from PDFs, images (EXIF, TIFF, JPEG, etc), and other document types so you have enriched metadata readily available. Once classified, data can be moved to appropriate storage tiers, access-restricted locations, or flagged for deletion based on policy. KAPPA can extract custom metadata from file content, such as contract identifiers or project codes, enriching the Global Metadatabase with business context that makes sensitive data findable and governable across the entire storage estate.
How does Komprise help financial services IT teams manage NAS migrations and storage refreshes?
Legacy NAS environments are a persistent challenge for financial services IT teams who need to consolidate storage vendors, move to cloud, or refresh aging infrastructure without disrupting trading systems, research workflows, or compliance archives. Komprise Elastic Data Migration provides a non-disruptive, phased approach to NAS migration that moves data in the background while keeping applications running and users productive. Deep Analytics generates a pre-migration assessment of the environment, identifying data by age, type, access frequency, and business owner so migration scope can be prioritized intelligently. Data that qualifies for tiering rather than migration can be routed to lower-cost cloud storage automatically, reducing the total volume of data that needs to be migrated and cutting the cost and time of the storage refresh.
Ready to Bring Structured to Your Unstructured Data?
Schedule a call with our unstructured data management experts and see your file and object data in a whole new way.
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