Cleveland Data Brokers

Who Trades in Business Data, and Why It Matters to a Cleveland Company

Most people hear "data broker" and picture firms that compile profiles of consumers. For an owner running a plant in Solon or a distribution center near the Ohio Turnpike, the more relevant market is the one that licenses facts about industries, equipment, supply chains and prices, much of it sourced from companies like yours.

In plain terms, a broker or aggregator acquires records from several suppliers, standardizes them, adds value through cleaning and analysis, and then licenses access to clients. The supplier keeps its original records. What changes hands is usually a right to use a copy, under conditions written into a license agreement.

The Buyers You Are Likely to Meet

Market intelligence firms build reports and dashboards on industries such as coatings, steel, specialty chemicals or medical devices. They want volume, price and capacity signals that public filings do not show.

Alternative data vendors sell signals to investors and lenders who want an early read on demand. Shipment counts, order backlogs and equipment utilization can all serve that purpose once no single customer can be picked out.

Industrial software and equipment makers look for machine performance histories to improve maintenance models, set warranty terms or benchmark their own products against real factory conditions.

Research and AI teams need large, well-labeled datasets to train and test models. Labeled defect images from a quality line or annotated maintenance logs are examples of what they ask for.

Industry consortia and trade groups pool data from members to publish benchmarks. Contributing to one is a form of data sharing too, and it deserves the same review as a direct sale.

Northeast Ohio's Data Economy

Cleveland sits on the south shore of Lake Erie as the seat of Cuyahoga County, and its economy blends very old industries with newer ones built on research and software. Both kinds generate data worth understanding.

Hospitals, Research and Health-Tech

Healthcare is the region's largest employer cluster. Cleveland Clinic and University Hospitals both run major academic medical centers in the city, and MetroHealth operates the county's public health system. Case Western Reserve University, in University Circle, anchors a deep research community in medicine, engineering and biomedical science. A growing group of health-tech startups and device companies works alongside these institutions, which makes clinical and research data one of the most talked-about assets in the region and one of the most tightly governed.

Coatings, Steel, Polymers and the Supplier Base

Manufacturing is still woven through the local economy. Sherwin-Williams, the paints and coatings company, has its headquarters in downtown Cleveland. Cleveland-Cliffs, one of the largest flat-rolled steel producers in North America, is headquartered here as well. Parker Hannifin, the motion and control technologies manufacturer, is based in Cuyahoga County, and Lubrizol, a specialty chemicals maker, is based in Lake County. Polymer and rubber know-how runs south toward Akron, the traditional home of the tire industry. Around these large names are hundreds of smaller machine shops, tool and die makers, plastics molders, metal finishers and industrial distributors whose records together describe a sizable part of the regional supply chain.

Banking and Insurance

KeyCorp, the parent of KeyBank, is headquartered in Cleveland. Progressive, the auto and property insurer, has its headquarters in Mayfield Village in the eastern suburbs. Financial and insurance firms like these are heavy users of external data for underwriting, fraud screening and risk models, and they operate under some of the strictest federal and state rules about customer information.

The Port and Great Lakes Freight

The Port of Cleveland handles cargo moving through the Great Lakes and the St. Lawrence Seaway, including steel, project cargo and bulk materials such as iron ore and limestone. On land, interstates 71, 77 and 90 meet near downtown, and the Ohio Turnpike crosses the southern part of the county. Trucking firms, rail-served warehouses and freight forwarders spread out along those routes produce shipment, timing and capacity records every day.

Beyond the City Line

Business activity spans the whole metro. Lakewood and Westlake on the west side, Parma and Strongsville to the south, and Solon, Beachwood, Independence, Shaker Heights and Cleveland Heights to the east each hold their own mix of manufacturers, medical offices, professional firms and corporate campuses. Mentor anchors a strong industrial base in Lake County. Lorain and Elyria in Lorain County, Akron in Summit County, and the growing suburbs of Medina and Geauga counties complete the picture. Their data rarely stops at a county line.

The Data Northeast Ohio Industries Produce

Few companies think of themselves as data producers. Yet a quality system, a dispatch board or a claims platform records thousands of events a week, and over several years those events build into something outsiders may find useful.

Machine and Industrial IoT Data

Modern presses, CNC centers, furnaces and coating lines log temperatures, pressures, cycle times, vibration, energy draw and fault codes. Plants that retrofitted sensors often have years of readings in a historian. Summarized by machine type and operating condition, those records can help predict failures, compare equipment brands or estimate energy intensity. Two cautions apply. First, process parameters can reveal trade secrets, such as a proprietary cure profile or alloy recipe, so decide what is truly safe to expose. Second, the equipment vendor's platform terms may claim rights to the same data, so confirm who controls it.

Supplier and Distributor Records

Industrial distributors and contract manufacturers track order volumes, lead times, part numbers, pricing and inventory turns. Researchers prize it because it shows demand shifting early. It is also the category most likely to be locked down. Supply agreements, nondisclosure agreements and purchase order terms commonly treat a customer's volumes, prices and part specifications as that customer's confidential information. A shop that builds parts for a large original equipment manufacturer may be barred from sharing anything that hints at the customer's production plans, even in summary form.

Healthcare and Medical Research Data

Clinical records, claims, imaging and research datasets carry the highest commercial interest and the heaviest restrictions. Patient information held by a provider or its business associates is protected under HIPAA. Data collected in research studies is also governed by the consent forms participants signed and by the oversight of an institutional review board. When a health system shares data with a partner, the arrangement usually runs through a formal data use agreement that limits purpose, bars re-identification and sets out what happens when the project ends. In most cases the health system, not an individual physician group or vendor, decides whether any of it can be shared.

Insurance and Claims Data

Agencies, brokers, adjusters, repair networks and third-party administrators all handle claims and policy details. Aggregate loss trends by peril, vehicle type or region interest analytics firms. Policyholder files do not belong in any sale. They contain nonpublic personal information covered by the Gramm-Leach-Bliley Act and by state insurance regulation, and carrier contracts usually restrict what an agency may do with them.

Port, Freight and Logistics Data

Carriers, terminal operators, warehouses and freight brokers record arrivals, dwell times, lane volumes, commodity types and seasonal swings, including the rhythm of the Great Lakes shipping season. Combined over time, those records can reveal corridor demand and capacity trends. Shipper and consignee identities, driver details and customer-specific rates are typically confidential, and the shipper's contract may give it ownership of shipment-level records.

What Can Move and What Has to Stay Put

Two tests sort most cases. Does the information describe identifiable people or a specific customer? And did your company create it with clear rights to reuse it?

Workforce information cuts across every row. Badge swipes, operator IDs on machine logs, technician schedules and truck GPS trails all describe employees. Remove those links or roll them up into large groups before anything leaves the building.

In practice, contracts stop more deals than statutes do. A molder may discover that its master supply agreement treats all production data from a customer's tooling as the customer's property. A software vendor serving local manufacturers may have promised in its terms never to disclose customer data. Pull those documents first.

What Drives a Buyer's Price

Business data has no sticker price. A buyer is really pricing three things: whether the data tells them something true, whether they can get it anywhere else, and how much effort and risk it will take to use.

Can They Trust It?

Buyers test samples. Consistent field definitions, timestamps that line up, documented collection methods and known gaps all raise confidence. A dataset that needs months of cleanup is discounted, sometimes heavily. Long, unbroken history matters too. Five years of daily machine readings support seasonality and failure modeling in a way that a single quarter cannot.

Is It Scarce?

Information that can be scraped from websites or bought from a large aggregator is priced as a commodity. Records that exist only inside your plant, fleet or claims system are not. Depth in a narrow niche, such as complete coverage of one type of furnace or one Great Lakes commodity flow, can be worth more than shallow coverage of a broad market. Ongoing delivery adds to this: a refreshed monthly feed lets a buyer watch change, which most buyers value above a one-time file.

Is It Easy and Safe to Use?

Every identifier a buyer has to remove, and every contract term they have to worry about, lowers the offer. Data that arrives already aggregated, with a written record of where it came from and what the license permits, opens the door to more buyers.

Any figure you hear early is a starting range. It tends to change once the buyer examines real samples and once both sides agree on usage limits, exclusivity and term length.

Ohio and Federal Rules to Know

There is no single statute that says when a company may license its data. Instead, several federal laws, a handful of Ohio statutes and your own agreements each set a boundary.

Federal Law

HIPAA covers health information held by providers, health plans, clearinghouses and their business associates. Selling protected health information is generally prohibited without patient authorization. De-identification must follow one of the two methods the rule recognizes, Safe Harbor removal of listed identifiers or a qualified expert's determination. The U.S. Department of Health and Human Services publishes guidance on both.

The Gramm-Leach-Bliley Act governs how banks, lenders, insurers and other financial institutions handle consumers' nonpublic personal information, including notice and opt-out duties before certain sharing with outside companies and requirements to safeguard the data.

Section 5 of the FTC Act bars unfair or deceptive practices. The Federal Trade Commission has relied on it in cases where companies used or shared information in ways their privacy statements did not reveal.

Ohio Statutes

Breach notification, Ohio Revised Code 1349.19. A business that experiences a breach of certain personal information about Ohio residents must notify affected people. The law is about breaches rather than sales, but any dataset you prepare for licensing should be free of the identifiers that would trigger it.

The Ohio Data Protection Act, ORC Chapter 1354. Enacted in 2018, this law offers a voluntary safe harbor: a business that maintains a written cybersecurity program conforming to a recognized framework may raise an affirmative defense to certain tort claims after a data breach. It creates no consumer rights and does not regulate the sale of data, but adopting such a program is sensible preparation for any data-sharing project.

The Ohio Consumer Sales Practices Act, ORC Chapter 1345. This statute targets unfair, deceptive and unconscionable acts in consumer transactions and is enforced by the Ohio Attorney General as well as through private suits. Misleading consumers about what happens to their information could raise claims under it.

Ohio-licensed insurers and agencies also answer to the Ohio Department of Insurance, which applies its own data security requirements on top of GLBA.

No Comprehensive Ohio Privacy Law Yet

At the time of writing, Ohio had not enacted a comprehensive consumer privacy law like those passed in several other states. Versions of an Ohio Personal Privacy Act were introduced, including House Bill 376 in 2021 and House Bill 345 in 2023, but neither passed. Legislation can change quickly, so check current bills on the Ohio Legislature website before relying on this summary. If your data covers customers in other states, their laws may apply even when your company is based in Ohio.

This page is general education and is not legal advice. Before any data leaves your company, speak with an attorney licensed in Ohio, plus counsel in any other state your data touches.

A Release Checklist for Ohio Businesses

Before signing a license, work through these steps in order. Each one can end the project, and it is far cheaper to stop early than after a dataset is out the door.

1. Map the dataset.List every field, where it came from, which system holds it and how far back it goes.
2. Confirm ownership.Read supply agreements, NDAs, customer contracts, vendor platform terms and data use agreements for language on confidentiality and data rights.
3. Match your promises.Compare the plan with your privacy policy, employee notices and anything you told customers about their information.
4. Strip and summarize.Remove names, account numbers, operator IDs and precise locations, then aggregate small groups that could still point to one person or customer.
5. Protect trade secrets.Leave out formulas, process settings and pricing logic you would never want a competitor to see.
6. Limit the license.Specify permitted uses, ban re-identification and resale, set a term, and keep audit rights.
7. Secure the handoff.Use encrypted transfer, log what was sent and when, and keep a copy of the exact release.
8. Get advice.Have Ohio counsel review the agreement, along with a healthcare attorney if any health data was involved.

Protecting Your Company and Its Owners

While you weigh licensing your own data, brokers are collecting information about your business and the people who lead it.

Ohio business filings, county property and court records, and professional licenses are public, and people-search sites often connect an owner's name with a home address, phone number and family members. If a home address appears on your filings, consider a statutory agent or business address where Ohio rules permit it.

Look up your own name and your company's name on the larger people-search sites and use each one's official removal process. Note the dates you submitted requests, since listings often return. The main site's opt-out checklist walks through the process step by step.

Inside the company, restrict who can export customer, patient or employee records, turn on multifactor authentication for systems that hold them, and review what your software vendors collect and share. Information that never leaves your control cannot end up in someone else's database.