Pharma Data Quality Solutions for Life Sciences

Connect, validate and prepare critical pharma data before it impacts operations, compliance and AI initiatives

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 Life sciences data integration workflow connecting clinical and operational systems

Prepare trusted, traceable and AI-ready data before downstream use

Pharma and life sciences teams already rely on specialized systems for clinical trials, quality, manufacturing, regulatory operations, master data and analytics. Each system may be reliable in its own context, but critical data often becomes fragile when it moves between them.

A supplier may exist under different names across procurement, quality and regulatory systems. A product or material may carry different codes across ERP, manufacturing and regulatory environments. A clinical dataset may combine EDC, lab, ePRO and vendor data with inconsistent identifiers. A transformation performed in Excel or through a script may affect a critical dataset without enough documentation to explain what changed.

Tale of Data helps teams audit, prepare, validate, deduplicate, document and monitor critical data upstream of existing systems — improving trust, audit-readiness, reporting quality, clinical data reliability and AI-readiness without replacing the applications, quality processes or regulatory expertise already in place.

Improve data quality across your critical life sciences processes

Ensure product, material and supplier data reliability

Product, material and supplier data often lives across ERP, QMS, procurement, manufacturing, regulatory and supply chain systems. The same product, API, excipient, packaging component, site or supplier may appear with different names, codes, attributes or qualification statuses. Tale of Data helps teams profile datasets, identify duplicates, standardize references, apply business rules and document corrections across systems. This makes master data easier to trust before it feeds quality, manufacturing, reporting, migration or regulatory processes.

Ensure product, material and supplier data reliability
Strengthen pharmaceutical data integrity

Strengthen pharmaceutical data integrity

Validated systems are essential, but many data quality risks appear outside their boundaries, in the preparation layer between applications. Many data quality and traceability issues appear in the preparation layer between systems: exports, scripts, staging tables, mappings, spreadsheets, manual corrections and reconciliations. Tale of Data helps teams profile critical datasets, apply quality controls, document transformations, track processing steps and monitor data quality over time. Data preparation becomes easier to review, reproduce and explain before downstream use.

Build trusted clinical data integration pipelines

Clinical data integration is not only about moving files between systems. It is about keeping data meaningful, consistent and traceable as it flows from source systems to downstream analytical, operational or regulated environments. With Tale of Data, teams can build visual no-code pipelines from structured exports, files, databases, cloud environments, staging tables or accessible data sources. Quality controls run inside the pipeline, instead of being handled as a separate cleanup step later.

Improve clinical trial data quality

Clinical trial data comes from many sources: EDC systems, labs, ePRO tools, imaging vendors, wearables, EHR extracts, CRO files and partner transfers. Quality issues often appear when these sources are reconciled, not inside one system alone. Tale of Data helps clinical and data teams profile datasets, detect completeness gaps, reconcile identifiers, validate formats and document transformations before monitoring reviews, database lock, analysis or submission preparation.

Improve clinical trial data quality

HOW TALE OF DATA SOLVES YOUR CHALLENGES

Audit & Prepare Critical Pharma Data

Pharma data issues often appear before data reaches downstream systems: in exports, spreadsheets, staging tables, vendor files or cross-system reconciliations. Tale of Data helps teams quickly profile, assess and prepare these datasets to identify missing values, inconsistencies, duplicates and abnormal patterns before they impact reporting, audits, migrations or AI initiatives.

Build Trusted No-Code Data Pipelines

Tale of Data enables life sciences teams to connect accessible data sources, transform datasets, apply quality rules and document each step through visual no-code workflows. Instead of relying on opaque scripts or manual corrections, teams can create readable, reusable and traceable data pipelines that improve trust across clinical, quality, manufacturing, regulatory and master data processes.

Deduplicate, Reconcile & Monitor Over Time

Critical pharma data often becomes fragmented across systems, sites and business units. Tale of Data helps detect duplicate suppliers, products, materials, sites or records using advanced matching and reconciliation capabilities. Once data has been prepared, teams can monitor quality rules over time, receive alerts and maintain a reliable foundation for analytics, audit-readiness and AI-ready data.

Pharma & Life Sciences: data quality in action

Customers

Don't just take our word for it

Read what our customers say about us.

"Our challenge was to have a tool that could detect and fix data quality issues across our various heterogeneous data sources."
TotalEnergies
Benoît Soleilhavoup
Data Engineer at TotalEnergies
"It's much simpler than an Excel file, for example. The solution enables automatic processing of rows, combining different data sources, reusing workflows, and sharing them with multiple users."
Manutan
Mbery Ngom
Data Quality Analyst at Manutan
"With Tale of Data, we can version a data pipeline, explain why a change was made, and reuse it elsewhere… This traceability supports industrialization and is crucial in the world of data platforms."
100599
Frédéric Robert
Consulting Director – Data Advisory Business Line at Apgar

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Discuss your data challenges and discover how our solutions can drive real impact.

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