What CIOs Should Ask Before Buying Web Data Infrastructure
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What CIOs Should Ask Before Buying Web Data Infrastructure

Vladimir Fomenko, Founder, CEO, Infatica

Enterprise Intelligence Architect

Editor’s Note: Enterprise technology leaders must carefully evaluate web data infrastructure to ensure their investments support scalability, reliability and long-term business objectives. This perspective highlights why data quality, integration capabilities, security and operational efficiency are essential considerations for CIOs seeking to strengthen enterprise intelligence and maximize the value of digital investments.

Buying web data infrastructure is no longer a technical choice buried in the IT stack. It is a procurement decision that touches compliance, vendor risk and strategy. For CIOs, that means moving past the API documentation to the governance questions that decide whether a vendor holds up under an audit.

The infrastructure behind competitive intelligence, AI training data and pricing sits on proxy networks, scraping platforms and data vendor pipelines. Buying it means buying dependencies and a supply chain that extends well beyond your perimeter.

Why Public Web Data Became a Board-Level Dependency

Public web data used to live in analytics reports and research decks. Now it feeds pricing engines, trains language models and shapes go-to-market decisions in close to real time. When the pipeline breaks, or the way the data is collected creates legal exposure, that is a material business risk.

The shift happened because the use cases scaled. A pilot that tracked a handful of competitor prices becomes a production system the executive team relies on every week. Once a data source is operationally critical, the vendor's compliance posture matters as much as its uptime.

Where the Data Comes from, and Why Sourcing Is Now a Compliance Question

Web data infrastructure runs on IP addresses, and where those addresses come from shapes your operational and compliance risk.

Responsible residential proxy networks rely on devices whose owners have knowingly opted in to share their connection, usually through partnerships with app developers. The sourcing model determines whether real consent exists, whether people understand what they agreed to, and whether the vendor can show a lawful basis when your counsel asks.

Where IP addresses are tied to individuals, data protection rules such as GDPR and UK GDPR may apply, depending on the processing and the use case. Where they do, controllers are expected to confirm that processors offer sufficient guarantees before engaging them.

A provider that publishes independent certifications gives you a verifiable trail. Infatica, for example, holds ISO 27001, 27701, 20000-1 and 22301, covering information security, privacy management, service management and business continuity. That matters when you are asked to show due diligence in choosing a supplier.

Operational risk runs alongside legal risk. A network sourced without clear consent carries higher operational and compliance risk, whatever the SLA says.

Five Questions to Put to Any Vendor Before You Sign

These belong in the negotiation, with the answers in writing.

Where do the IPs come from, and how is consent obtained? Ask for the partnerships, the consent flow the device owner sees, and how the pool is maintained. "Ethically sourced" without specifics is not an answer.

What certifications can you evidence? Ask for the certificate, its scope statement and the date of the last audit, not a badge on a web page.

What does the contract say about sub-processors, deletion and audit rights? Where the vendor acts as your processor and GDPR or UK GDPR applies, a written contract is required that sets out these obligations. Check it covers termination, the return or deletion of data, and your right to audit.

How will you support data subject requests? If a request touches processing the vendor performs for you, their part in answering it should be agreed in advance, with timeframes.

What happens when part of the network degrades? Ask how the vendor monitors, replaces and reports on addresses that stop performing, and how quickly you will be told.

Build, Buy or Blend: Where the Cost Actually Sits

Building in-house carries the obvious costs of engineering time and infrastructure. The hidden ones are larger: you take on the sourcing, the compliance burden and the day-to-day work of keeping a distributed network reliable.

Buying shifts some of that, not all. You remain responsible for your own processing, which means your own assessments, your lawful basis and your records. The vendor provides the pipes; what flows through them is still yours to govern. A blended model, with a vendor for the network and your own team for collection logic and quality checks, is common, and it only works if the split of responsibilities is written down.

Total cost of ownership therefore includes legal review, ongoing monitoring and incident response. For many organisations, a proven vendor with published evidence can reduce the cost and risk of building and governing the infrastructure entirely in-house.

What Good Governance Looks Like in the First Ninety Days

The first quarter shows whether the vendor's assurances survive your real environment.

Set a joint review with the vendor inside the first 30 days, covering incidents, any data subject requests that touched their processing, sub-processor changes and certification status. Periodic reviews and compliance checks belong in the contract, not just in good intentions.

Where applicable, ensure the relevant processing activity and vendor details are reflected in your records of processing activities, including the lawful basis, the data categories and the contract terms, so you can answer who processes what in minutes.

Test the escalation paths while the stakes are low: a trial data subject request, a simulated incident notice. It shows whether the documented procedures work. Repeat the vendor review at least once a year, and again whenever your use case or the vendor's sub-processors change.

The vendors worth keeping treat compliance as engineering, not marketing. They publish evidence, keep certifications current and answer audit requests with documents. That is the bar web data infrastructure should clear before it earns a place in production.

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The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.