Digitizing data commerce to transform data into assets
At PEER DATA, we are passionate about helping businesses unlock the full value of their data and transform how data operates in the market.
PEER DATA helps you answer 4 simple questions:
- Contextual view of procured data
- Contextual view of proprietary data
- Duplication and redundancy discovery
- Usage rights to the data
- Restrictions on use of the data
- What can be used to create products and services?
- Lineage and provenance: How can I track the origin and history of my data?
- Common client framework reconciliation
- Governance and controls tracking and enforcement
- What is the ROI on my data spend?
- How much do I owe?
- What are the royalty payments or revenue share?
- How do I allocate cost?
Data Market Today
The world spends $250 billion on licensing data, with over 300,000 data providers in the US alone. AI advancements and proliferation have accelerated reliance on data and the need for observability to trace data lineage and provenance.
However, data discovery and procurement are still largely manual, and licensing workflow is still very human centric and manual.
Management of data is fragmented and resource intensive
Each system solves only a portion of the data lifecycle and does not communicate with other systems. The data license is disconnected from the actual service delivery and usage of data.
Communication between systems which manage data is tracked via records and manually updated. This leads to duplication, dropped information and difficulty in maximizing the value of your data assets.
In asset management, an Investment Book of Record (IBOR) provides a real-time view of the firm’s investment positions, by connecting portfolio, risk, order, execution management systems and fund accounting.
Similarly, the data industry needs a tool to connect systems which are part of the data management lifecycle. PEER DATA’s DBOR™ platform is a system of fact vs. a system of record for data owners, consumers and providers.
Holistic view and analyses of data assets, liabilities, revenues and expenses
Integration into your existing application and workflow environment
End-to-End traceability of data flows
Decision-support in data usage and product Development
Accurate & comprehensive view of data assets, based on fact vs record.
AI is rapidly becoming one- of the most transformative technologies of our time. Data serves as the foundation upon which AI systems learn and make decisions. Without clean, relevant, and well-structured data, AI models cannot deliver accurate or meaningful results.
AI journey starts with knowing your data
Our vision is to empower an AI future with better data intelligence and digital data commerce.
Everyone is in the data business, they might not know it yet. What is your role in the data economy?
Data Consumer
An organization that procures data to support its business functions (banks, buy-side, data & analytics provider, etc.)
What we do?
Find the data you need and manage your data assets. Make data a value-added part of your service and create greater data gravity.
Data Provider
An organization that licenses data to consumers to generate revenue (data vendors, brokers, aggregators, exchanges, etc.)
What we do?
Manage your data business like an asset manager and make your data more discoverable. The Shopify tooling for managing your data business.
Data Owner
Any organization which digitally captures activities and transaction (banks, exchanges, etc.)
What we do?
Monetize your data: Data monetization is the process of using data to obtain quantifiable economic benefit, such as making business performance improvements, sharing data with partners, or selling data.
Data Consumer
DBORTM is the data asset management system for your data assets. It reduces time to context, implementation and enables agentic workflows. A single platform for managing all your data: vendor, 3rd party and your own.
Data on data provides context and intelligence to better explore and understand your data.
Capture
Capture all the terms and conditions of a data license, including usage rights, and share those with business partners and counterparties.
Connect
Connect Contract Management to the delivery of service, ETL/EDM, Data Distribution, Applications and Accounting
Observe
Observe data usage down to the end user level
Track
Track revenue and spend allocations
Report
Vendor and compliance reporting
Reconcile
Reconcile Invoice and common customer frameworks
Trace
Trace data lineage and provenance
Search
Search for the data you need based on your task at hand
Compare
Compare alternative datasets based on a multitude of data attributes, data quality and delivery options
Onboard
Onboard datasets quickly and easily
Automate
Build the process around the data subscription – full STP from license to ingestion to utilization
Stay up to date
Stay up to date with any service changes
Optionality
Provide search, compare and analysis of vendor and public datasets based on your clients’ task at hand
Data Provider
The data asset management system to manage your data business. Automate usage tracking, invoicing and increase product discoverability. Have your data be AI ready, by providing context, and tracking of lineage and provenance.
Digitize
Digitize all the terms and conditions of the data license, including usage rights,and share those with counterparties
Connect
Connect CRM to Contract Management, Service Delivery, Entitlements, Applications and
Observe
Observe data usage internally and externally, enable common client frameworks
Track
Track revenue and spend allocations
Invoice
Invoice accurately, in real-time based on observations
Forecast
Forecast a real-time view of assets, liabilities and revenue at risk
Capture
Capture client declarations and vendor reporting
Report
Report compliance and audit tool
Search
Search based on a client’s task at hand
Automate
Automate the process around data subscription – full STP from license to delivery and utilization
Taxonomy
Taxonomy is a two-sided classification system, provides standardized values used within a dataset, focusing on:
Information about what each dataset describes, how it is sourced
Potential use cases
Data Owner
Data monetization is the process of using data to obtain quantifiable economic benefits, such as making business performance improvements, sharing data with partners, or selling data. Benefits of data monetization include cost reduction, customer retention, revenue increases, and opportunities for new data-related services.
Monetization of data starts with understanding:
- Data lineage and provenance
- What you can and can’t do with the data
- Applicable use cases
If you want to license your data, you need to:
- Make your data more discoverable and AI / ML ready
- Have confirmed use case(s)
- Provide tools to reduce time and resources for evaluation and onboarding
- Make the buying process simple
See
See what data you have
Trace
Trace lineage and provenance
Understand
Understand your rights to the data – what you can and can’t do with it
Digitize
Digitize all the terms and conditions of the data license, including usage rights, and share those with counterparties
Connect
Connect CRM to Contract Management, Service Delivery, Entitlements, Applications andAccounting
Observe
Observe data usage internally and externally, enable common client frameworks
Track
Track revenue and spend allocations
Invoice
Invoice accurately, in real-time based on observations
Automate
Automate the process around data subscription – full STP from license to delivery and utilization
Taxonomy
Taxonomy is a two-sided classification system, provides standardized values used within a dataset, focusing on:
Information about what each dataset describes, how it is sourced
Potential use cases
Join our team
Are you someone who loves collaboration while having a thirst for knowledge when it comes to data science?Then head over to our job listings today!
How can we help?
We're here to answer your questions and provide the support you need—Get in touch