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Charmee Patel

Head of Innovation and Data Science, Syntasa

Charmee Patel leads Product Innovation activities at Syntasa. She has extensive experience synthesizing customer, visitor, and prospect data across multiple channels and scaling emerging big data and AI systems to handle the most demanding workloads. This experience guides her work helping clients deploy innovative ways to apply AI and Machine Learning to their marketing data and developing the next generation Marketing AI Platform.

How can Syntasa help companies cope with a cookie-less world?

Syntasa's Data Transformation accelerator is essential at a time when major browsers are deprecating third-party cookies. It streamlines collecting and managing data and integrates data from various sources to create a holistic customer profile. Implemented within cloud infrastructures, Syntasa provides data privacy and enables the collection of diverse data points from multiple customer touchpoints. The outcome of this is tailored customer experiences that assist businesses to make well-informed decisions. Thus, Syntasa's solution positions organizations for success while putting customer privacy and data-driven growth at the core.

Syntasa's Data Transformation accelerator is essential at a time when major browsers are deprecating third-party cookies. It streamlines collecting and managing data and integrates data from various sources to create a holistic customer profile. Implemented within cloud infrastructures, Syntasa provides data privacy and enables the collection of diverse data points from multiple customer touchpoints. The outcome of this is tailored customer experiences that assist businesses to make well-informed decisions. Thus, Syntasa's solution positions organizations for success while putting customer privacy and data-driven growth at the core.

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The Cookieless Revolution: How Businesses are Embracing the Change?

The digital advertising industry faces challenges with the end of third-party cookies, pushing businesses to adapt their data collection and management strategies. With the rise in internet users reaching 5.18 billion globally, browsers emphasize user privacy. Google Chrome's move to eliminate third-party cookies marks a significant industry change. Businesses are now focusing on first-party data, utilizing data enrichment, adopting customer data platforms (CDPs), and integrating reverse ETL solutions. Syntasa offers advanced analytics solutions, helping companies optimize their first-party data management for a cookie-less future.

The digital advertising industry faces challenges with the end of third-party cookies, pushing businesses to adapt their data collection and management strategies. With the rise in internet users reaching 5.18 billion globally, browsers emphasize user privacy. Google Chrome's move to eliminate third-party cookies marks a significant industry change. Businesses are now focusing on first-party data, utilizing data enrichment, adopting customer data platforms (CDPs), and integrating reverse ETL solutions. Syntasa offers advanced analytics solutions, helping companies optimize their first-party data management for a cookie-less future.

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Think Behavioral Data Pipelines Are Too Complex? They’re Not.

The sheer amount of behavioral data that consumers generate online each day is exactly what makes it so useful to companies. It’s also, of course, what makes this data so difficult to process and consolidate. Syntasa’s platform is designed to make it simple for enterprises to build the behavioral data pipelines which provide better analytics, better decisions, and better actions.

The sheer amount of behavioral data that consumers generate online each day is exactly what makes it so useful to companies. It’s also, of course, what makes this data so difficult to process and consolidate. Syntasa’s platform is designed to make it simple for enterprises to build the behavioral data pipelines which provide better analytics, better decisions, and better actions.

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Tools to Help You Collaborate with Your Data Science Team

Putting AI/ML models into production is a team effort. Multiple individuals are involved and it takes a great deal of planning and teamwork...

Putting AI/ML models into production is a team effort. Multiple individuals are involved and it takes a great deal of planning and teamwork...

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Lookback Windows are Critical for Successful Models with Behavioral Data

In a constantly shifting digital ecosystem, we need to view data from the perspective of each individual visitor’s experience using a relative window.

In a constantly shifting digital ecosystem, we need to view data from the perspective of each individual visitor’s experience using a relative window.

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