Experiment #206

Brand Presence thanks to Artificial Intelligence and Big Data

Companies and brands have always invested in having a presence; either by appearing in certain ads or through influencers on social media. However, this investment is useless if there is no traceability of where the brand has appeared, for how long, for how many people and, most importantly, what impact and return on investment we have had on our business; as well as answering other crucial questions.

Project Date: March-April 2021

Services: Azure ML, Azure Cognitive Services, Azure SQL, Power BI, Data Warehouse

Technology used: Artificial Intelligence – Big Data – Cognitive Services – Data Analysis

Challenge

Exploiting information and analysis for decision making

Idea y
proceso

Providing traceability of our brand presence is a task that involves a lot of effort due to the volume of data processing that it requires. A successful analysis of this data will help to carry out market researches and correlations to know where to invest in future campaigns to maximize our business objectives.

The objective of this experiment is to be able to exploit this huge amount of information that is generated from different data sources and its subsequent analysis for decision-making.

Several processes in the Azure cloud will be in charge of carrying it out. Subsequently, thanks to parallel data processing and sophisticated AI systems from both Cognitive Services and ad-hoc trained neural networks (all also put into production in Azure), our brand can be identified. In addition to this, the audience level will be extracted, as well as other relevant information. Then all this information will be stored in a Data Warehouse. Finally, an analysis will be performed in Power BI.

Utility

Provide traceability and be able to analyze brand impact

Utilidad

Obtaining brand presence is a good practice where much of the capital is invested. Providing traceability and being able to analyze the impact it has is a difficult task if it is not done with the right tools.

Thanks to Artificial Intelligence and Big Data techniques, we offer to bring all this knowledge closer to the analysts in order to answer all their questions, maximize the return on investment (ROI), as well as achieve business objectives.

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