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Databricks: Big marketing challenges need a big platform.

Traditional analytics tools have their limits. Especially with a complex organizational environment like yours. There’s so much marketing data to process it gets overwhelming. When your challenges need more than dashboards and descriptive analyses, Databricks becomes a key tool. Advanced modelling, powerful computing, AI integration, all on a big scale.

Databricks grows the productivity of data teams by up to 25%.

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Databricks: Robust and evolvable.

We bet on use cases with high added value.

Framework for marketing and analytics issues

Take advantage of the real advantages offered by Databricks for your organization. We identify what business questions to address, the models required, and the data needed. We ensure Databricks is used where it will create true value, particularly for projects like marketing mix modelling (MMM) or other forms of advanced modelling.

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Design of analytics solutions on Databricks

Benefit from a custom solution. We handle the preparation of data, implementation of models, and the orchestration of processing needed for their execution. We ensure that Databricks can process large volumes of data and support complex calculations, which are essential for advanced marketing initiatives and AI.

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Support in the exploitation and evolution of solutions

Benefit from a long-lasting platform. We remain available to adapt models based on new needs, to integrate new data sources, and ensure operational continuity. The goal is for Databricks to support strategic marketing decisions in complex organizational environments.

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Why us?

We stand apart for our capacity to translate marketing and business challenges into real-world, exploitable, operational solutions.

Going beyond traditional analytics and activating marketing use cases and advanced artificial intelligence remains a challenge for many organizations. At adviso, we help companies using Databricks to process large volumes of data, execute advanced analytics models, and support foundational marketing decisions.

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Finding answers is in our DNA.

What is the purpose of Databricks in a marketing context?

To deploy advanced marketing use cases in analytics and AI. Databricks is used when marketing needs go beyond descriptive measurement and require advanced modelling, complex calculations, or the exploitation of AI.

When is Databricks relevant for marketing?

When the standard analytics tools have reached their limits. Databricks becomes relevant for cases such as marketing mix modelling (MMM), advanced analytics, forecasting, or AI projects applied to marketing data. 

Why is Databricks used for marketing mix modelling (MMM)?

Because it lets you process complex models on a large scale. MMM requires combining many data sources and executing advanced calculations. Databricks offers the power and flexibility needed for this type of modelling.

Is Databricks adapted to large organizations?

Yes, especially in complex environments. Databricks is designed to operate on a large scale, with large volumes of data and exacting requirements in terms of performance and reliability.

How do you measure the value of Databricks in marketing?

By the impact of the models on marketing decisions. Value is measured by the quality of decisions, the optimization of investments, and the capacity to answer complex marketing questions.

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