Financial Services Data Management
Financial Services Data Management
Fuel Financial Innovation with Smarter Data Management
Manage Data Risk, Prepare Data for AI
Financial institutions operate under stringent regulatory constraints and are often burdened by decades of file share growth. Managing legacy data and staying compliant with regulations (GDPR, CCPA, FINRA, Basel III, SEC) around data access, retention, residency, and auditing.is a top challenge for financial services organizations. Data sprawl, decentralized IT control, and strict regulations make managing file-based data extremely complex.
Financial services firms require meticulous data classification, AI auditing and retention policies, which are difficult with siloed systems. There is also rising pressure to reduce costs while supporting digital and AI-driven innovation. To juggle IT modernization, data security and governance and AI readiness, financial IT needs a way to manage unstructured data holistically for different use cases.
The Komprise Data Experience makes it possible.
Komprise shows the zombie data and the millions we can save—visibility we never had before.
VP Global Storage, Fortune 50 Financial Services
Use Cases
Data Classification for Regulated Data
Komprise Smart Data Workflows and the Global File Index allow IT users to enrich metadata with tags identifying data by type or contents. This can be set as an automated workflow to find regulated data sets that are being stored out of compliance and move them to appropriate locations or confine for deletion. This same automated process can be used for keyword searches when data scientists are seeking data for research and AI projects.
Improving Data Quality for Analytics & AI
Komprise helps financial institutions identify and delete duplicates, orphaned data and glacially old data that obscure data quality and drive up costs of data storage and AI processing. Using Deep Analytics to locate unwanted data, and discover data sets to curate for data science projects, IT teams can help departmental users curate the precise data needed for AI and nothing more.
Key Benefits for Financial Services Firms
Manage Data Across Hybrid Cloud for Cost and AI
Financial services firms can reduce on-premises storage costs by tiering cold data to lower-cost cloud storage. They can then leverage the data natively with cloud tools to develop AI-enhanced products and run predictive analytics to support cross-selling, up-selling, fraud detection and more.
Know Your Data Across All Storage
Within 15 minutes of deploying, Komprise Deep Analytics provides a Global File Index for a unified view of your data across all your storage environments to right-place data and ensure data is stored compliantly.
- Gain understanding of data usage and trends to aid planning
- Tailor storage policies for different projects and user groups
- Conduct “what-if” policy scenarios to see the benefits pre-deployment
Move Data to Cloud Without Disruption
Set your policies and Komprise Transparent Move Technology™ seamlessly tiers, migrates and replicates data without any changes to your user experience, applications, or hot data.
- Move data to lower-cost storage alternatives without disruption.
- Ensure users can access their data the same as before.
Prepare Data for AI with Governance
Use Komprise Smart Data Workflows to build automated data pipelines that search, tag, and feed the right data to AI pipelines. Use Komprise Sensitive Data Management to confine and prevent protected data from AI ingestion. The Komprise Global File Index gives IT and departmental users the ability to add metadata tags for context and security, either manually or through API integration to AI scanning and inspection tools.
Learn how Komprise can help financial services firms know first, move smart and take control with analytics-driven unstructured data management.
