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CORPORATE SOLUTION | UPSTREAM DATA QUALITY

Upstream Data Quality: Data quality from the source for analytics and AI

Stop cleansing data after errors have already broken your reports. We apply controls, structural validations, and consistency rules "in transit" during extraction, ensuring your Lakehouse receives 100% reliable data without impacting your core systems.

"Gartner predicts that through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data. Quality must be resolved at the source."

—Gartner, Inc.

The risks of lacking data quality at the source: The cascade effect

Extracting raw data to clean it later is a strategy that destroys the value and agility of your analytics. When upstream controls are missing, operational issues multiply:

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Late detection (Errors in production)

Data errors are discovered when they are already in executive dashboards or have contaminated predictive models, affecting critical business decisions.

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Repetitive manual cleansing

Your engineering teams waste entire days (and budget) cleaning the same information for every new project, instead of focusing on innovation.

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Error replication (Domino effect)

By relying on downstream manual validations, inconsistent information replicates across platforms, departments, and systems, completely shattering data trust.

To build a reliable data ecosystem, cleansing shouldn't happen at the end of the pipeline. It must execute in the exact millisecond the information leaves the transactional system.

 

Arkon Data acts as an intelligent shield between your operations and analytics. We apply quality controls, format validations, and dynamic business rules directly during extraction from your sources (Oracle, SAP, legacy systems).

 

Instead of moving "garbage" to your platforms, we ensure flawless upstream quality. We deliver purified, structured, and ready-to-use data pipelines before they touch your Lakehouse or feed your Artificial Intelligence models.

Our Upstream Data Quality solution: Real-time validations

Data quality capabilities to protect your data ecosystems

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Anti-Garbage Filter

We prevent corrupt, incomplete, or unstructured data from entering your analytical flows, protecting the integrity of your financial reports and Machine Learning models.

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Zero-Latency Validation

We evaluate and validate "in-transit" information automatically, without saturating bandwidth or impacting the operational performance of your enterprise ERP (Zero-downtime).

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Structural Consistency

We standardize formats and apply cross-validation rules in milliseconds, ensuring the entire ecosystem consumes a single, clean version of truth.

Sucess case: Protecting compliance from the source

Upstream Compliance in Supplier Onboarding

For a Global Food Leader, the entry of incorrect or risky information into the system generated bottlenecks and audit vulnerabilities. We implemented Upstream Data Quality validations to evaluate information in real time, before allowing it to be written into Oracle Fusion.

Upstream Compliance

Automated execution of global and local validations directly during the extraction and capture flow.

Zero audit risks

Automated blocking of blacklisted suppliers or inconsistent banking information before they touched the enterprise ERP.

18,000+ Monthly executions

Completely clean validation flows, reducing the client's operational process from months to just minutes.

Unlock your data for the AI era

One platform to connect, govern and activate enterprise data.

Talk to a Data Consultant

Book a free strategy session and discover how to unlock your data for AI.

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