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We engineer the pipelines that unify audience, panel, and consumption data from surveys, streaming, social, and ad exchanges so reporting and insights are fast and trustworthy.

15+YEARS CREATING SUCCESS WITH CLIENTS

MARKET RESEARCH & MEDIA

Find the signals behind the noise

Find the signals behind the noise

Market research and media organisations work with high volumes of audience, panel, survey, streaming, social and advertising data. These sources arrive in different structures and at different speeds, making it difficult to create a consistent view of behaviour and performance.

Ardent connects and prepares this information for AI, automation and reporting, helping teams refresh research products faster, improve client delivery and extract more value from both current and historic data.

$400K

Savings from automated data pipelines

We streamlined data processing and reporting, reducing operating costs and the manual effort needed to keep information flowing.

25%

Reduction in data collection costs

Automated data capture reduced the cost of gathering information, showing how routine collection tasks can be made more efficient.

OUR APPROACH

From Data to Impact

A structured approach to help you move from data readiness to real business value, with governance and operational excellence built in.

01 Map the sources

Identify feeds, formats, refresh cycles and licensing constraints.

02 Clean and unify

Standardise audience identities, panel records and research measures.

03  Accelerate insight

Enable AI, automation and reporting across current and historic content.

04  Assure delivery

Monitor refreshes, quality and platform availability around client commitments.

CAPABILITIES

Turning Complex Audience Data Into Faster Insight

We connect audience, panel, survey and consumption data so teams can accelerate analysis, improve reporting and extract more value from every dataset.

Data for AI

Turn equipment, sensor and operational data into a dependable foundation for predictive maintenance, stronger forecasting and smarter production decisions.

✓

Sensor and IoT data cleansing and normalisation

Improve predictive maintenance models and identify equipment risk earlier.

✓

AI-ready data pipelines

Strengthen demand forecasting and yield optimisation with timely, consistent production data.

✓

Vector databases for operational knowledge

Help engineers and AI tools find manuals, defect histories and technician expertise faster.

✓

Predictive model operations

Monitor maintenance and forecasting models as equipment, products and operating conditions change.

Data for AI

Turn equipment, sensor and operational data into a dependable foundation for predictive maintenance, stronger forecasting and smarter production decisions.

✓

Sensor and IoT data cleansing and normalisation

Improve predictive maintenance models and identify equipment risk earlier.

✓

AI-ready data pipelines

Strengthen demand forecasting and yield optimisation with timely, consistent production data.

✓

Vector databases for operational knowledge

Help engineers and AI tools find manuals, defect histories and technician expertise faster.

✓

Predictive model operations

Monitor maintenance and forecasting models as equipment, products and operating conditions change.

Data for Automation

Connect plant-floor and business systems so data can trigger faster action, reduce manual intervention and keep production processes moving consistently.

✓

Real-time plant-floor pipelines

move sensor changes into cloud platforms quickly enough to support immediate operational action.

✓

SCADA and ERP integration

connect operational and business data in one governed lakehouse for end-to-end visibility.

✓

Event-driven quality pipelines

flag anomalies and trigger quality processes as production events occur.

✓

Legacy-to-cloud migration

modernise ageing plant data environments without losing continuity or critical business logic.


Data for Automation

Connect plant-floor and business systems so data can trigger faster action, reduce manual intervention and keep production processes moving consistently.

✓

Real-time plant-floor pipelines

move sensor changes into cloud platforms quickly enough to support immediate operational action.

✓

SCADA and ERP integration

connect operational and business data in one governed lakehouse for end-to-end visibility.

✓

Event-driven quality pipelines

flag anomalies and trigger quality processes as production events occur.

✓

Legacy-to-cloud migration

modernise ageing plant data environments without losing continuity or critical business logic.


Data for Reporting

Give production, supply-chain, quality and leadership teams one trusted view of performance, helping them identify issues earlier and act with confidence.

✓

Unified operational dashboards

give teams one clear view across production, supply chain, service and commercial performance.

✓

Data catalogue and lineage

make supply-chain and quality data traceable, explainable and easier to audit.

✓

Automated production anomaly detection

identify unusual patterns before they become larger quality or downtime issues.

✓

Cross-plant and supplier standardisation

create comparable metrics for confident executive reporting and planning.


Data for Reporting

Give production, supply-chain, quality and leadership teams one trusted view of performance, helping them identify issues earlier and act with confidence.

✓

Unified operational dashboards

give teams one clear view across production, supply chain, service and commercial performance.

✓

Data catalogue and lineage

make supply-chain and quality data traceable, explainable and easier to audit.

✓

Automated production anomaly detection

identify unusual patterns before they become larger quality or downtime issues.

✓

Cross-plant and supplier standardisation

create comparable metrics for confident executive reporting and planning.


Managed Data Ops

Keep critical manufacturing data platforms monitored, resilient and optimised so operations remain dependable across plants, systems and regions.

✓

24×7 production data monitoring

Detect failures quickly and protect the availability of critical operational information.

✓

Multi-plant and multi-region operations

Maintain consistent performance, governance and support across distributed environments.

✓

M&A data migration

Consolidate plant systems and reporting while protecting data quality and operational continuity.

✓

Continuous platform optimisation

Improve performance, resilience and cost as production volumes and priorities change.

Managed Data Ops

Keep critical manufacturing data platforms monitored, resilient and optimised so operations remain dependable across plants, systems and regions.

✓

24×7 production data monitoring

Detect failures quickly and protect the availability of critical operational information.

✓

Multi-plant and multi-region operations

Maintain consistent performance, governance and support across distributed environments.

✓

M&A data migration

Consolidate plant systems and reporting while protecting data quality and operational continuity.

✓

Continuous platform optimisation

Improve performance, resilience and cost as production volumes and priorities change.

TECHNOLOGIES

The stack behind dependable delivery.

Proven platforms, selected for the job—not forced into it.

CLOUD INFRASTRUCTURE
Azure
GCP
AWS
DATA & AI PLATFORMS
Databricks
Snowflake
DATABASES
MongoDB
postgreSQL
INTEGRATION, PIPELINES & TRANSFORMATION
Airbyte
Fivetran
Kafka
BI & CUSTOM DASHBOARDS
Power BI
Tableau
React
Angular
OBSERVABILITY & MONITORING
Datadog
Monte Carlo
ENGINEERING AND DEVELOPMENT
GitHub
Python
INTEGRATION, PIPELINES & ETL
Klaviyo
Hightouch
View all technologies→

TRUSTED BY TEAMS WHO DEPEND ON THEIR DATA

❝

What really sets Ardent apart is the consistency of their team. I'm still working with some of the same people I worked with over ten years ago, which is incredibly rare in offshore development. That continuity and responsiveness have made Ardent a valuable development partner as our business has grown.

Tom Weiss — Co-founder, MX8 Labs

FEATURED SUCCESS STORY

Robust, scalable data pipelines with AWS infrastructure

SUCCESS STORY

Robust, scalable data pipelines with AWS infrastructure

Processing up to 300 GB of audience and location data every day through scalable AWS pipelines for hourly reporting.

Explore all success stories →

TRUSTED BY TEAMS WHO DEPEND ON THEIR DATA

❝

What really sets Ardent apart is the consistency of their team. I'm still working with some of the same people I worked with over ten years ago, which is incredibly rare in offshore development. That continuity and responsiveness have made Ardent a valuable development partner as our business has grown.

Tom Weiss — Co-founder, MX8 Labs

FEATURED SUCCESS STORY

Robust, scalable data pipelines with AWS infrastructure

SUCCESS STORY

Robust, scalable data pipelines with AWS infrastructure

Processing up to 300 GB of audience and location data every day through scalable AWS pipelines for hourly reporting.

Explore all success stories →

TRUSTED BY TEAMS WHO DEPEND ON THEIR DATA

❝

What really sets Ardent apart is the consistency of their team. I'm still working with some of the same people I worked with over ten years ago, which is incredibly rare in offshore development. That continuity and responsiveness have made Ardent a valuable development partner as our business has grown.

Tom Weiss — Co-founder, MX8 Labs

FEATURED SUCCESS STORY

Robust, scalable data pipelines with AWS infrastructure

SUCCESS STORY

Robust, scalable data pipelines with AWS infrastructure

Processing up to 300 GB of audience and location data every day through scalable AWS pipelines for hourly reporting.

Explore all success stories →

NEWS

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How AI reporting can generate wrong business answers even when the underlying data is sound, and the controls needed to keep metrics, explanations, forecasts and recommendations traceable and trustworthy.

Jack Bailey

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Why polished dashboards can still hide unreliable numbers, and how organisations can rebuild reporting trust through clear definitions, reconciliation, ownership, data-quality controls and traceable metrics.

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How AI-driven data engineering can improve reporting speed and reliability by identifying pipeline bottlenecks earlier, strengthening data quality and creating foundations that support trusted business automation.

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Why Targeted Advertising Depends on Better Data Pipelines

Why better advertising intelligence depends on the pipelines behind retail, viewing and campaign data, and how reliable preparation, governance and responsiveness turn fragmented signals into usable insight.

Jack Bailey

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An examination of why Databricks lakehouse architecture is relevant to market research organisations handling varied, high-volume data and needing faster analytics, collaboration and scalable processing.

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A practical framework for deciding whether to retain, modernise or migrate a data platform by identifying the true constraint, comparing total cost and risk, and changing only what the evidence justifies.

Jack Bailey

Read insight

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How AI reporting can generate wrong business answers even when the underlying data is sound, and the controls needed to keep metrics, explanations, forecasts and recommendations traceable and trustworthy.

Jack Bailey

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The Most Dangerous Dashboard Is the One That Looks Right

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Jack Bailey

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Ready to make your data work harder?

We build and manage the data foundations that remove the quality, consistency and reliability issues holding back AI, automation and better decisions.

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