Data Engineering

We develop, optimize and operate some of the largest data infrastructures for media and IOT companies, including onboarding, pipelines, warehousing and reporting.

Data Science

We use machine learning to build best-in-class models for media companies, including data normalization and fusion, identity matching, audience indexing, attribution and predictive analytics.

Data Operations

We know how to set up environments that will get the right data, to the right people, at the right time, and the pitfalls to avoid. Our team of experts on AWS and open source technologies and are able to build, maintain, and operate data pipelines at scale.

About Us

Dativa is a global consulting firm providing services to companies that want to embrace data-driven TV. We develop data science models, build, manage and run data infrastructure, plan and execute data-driven campaigns and provide strategic direction for media companies that want to harness the power of data

Data Engineering

Data Engineering

We develop, optimize and operate some of the largest data infrastructures for media and IOT companies, including onboarding, pipelines, warehousing and reporting.

Data Science

We use machine learning to build best-in-class models for media companies, including data normalization and fusion, identity matching, audience indexing, attribution and predictive analytics.

Data Operations

Data Operations

We know how to set up environments that will get the right data, to the right people, at the right time, and the pitfalls to avoid. Our team of experts on AWS and open source technologies and are able to build, maintain, and operate data pipelines at scale.

Latest from our team

The emergence of the algorithm economy

Algorithms are an essential feature of data science. So much so that Airbnb, who have a sophisticated data team, recently divided their group into Analytics, Algorithms, and Inference teams, showing how essential algorithms are. Most people have heard of them but are unaware of what exactly they are, or …

Build your own recommendation engine

Recommendations, or recommender systems, are one of the most powerful tools within the data science toolkit. Some recommendation engines focus on the top-level executives within a company, such as those who make the decisions about what is going to be available on Netflix or similar OTT services this autumn …

A year of GDPR: blocked users, hot potato, and opt-in fatigue

GDPR has been live for over a year now. After the rush last May to ensure that businesses were going to be compliant when it came to storing and using (or selling!) the private personal information (PII) data they store about individuals, we thought we would take a look …

The rise of the data driven D2C TV service

No observer of the TV industry in 2019 doubts that D2C (direct to consumer) is having its day. Driven by the extraordinary success of Netflix and its rivals such as Hulu, lots of long-established programming groups are now offering their own D2C services instead of or as an accompaniment …

See the latest posts

Contact our data engineering or data science consulting teams