Dr. Sahar Changuel is speaker of the session “How to tackle Data Quality issues”.

I have a PhD on machine learning and Natural Language Processing (NLP) and during the last 10 years of experience I didn’t stop working with data in its different format structured and unstructured: text extracted from documents or from social media, figures, extracts from data bases, etc. I manipulated data in different use cases and for different services: education, media, audit, finance… data is stored either in local databases, in a datalake, in the Cloud or can be spread in different spreadsheets. My mandate was almost the same each time, it consists on making the data usable and exploitable in the best way that fits the business need.
In order to make the best use of data there is one fundamental requirement: data must be in a good quality, which can be a real challenge in some situations. Today I am a Senior Data Manager and a Data Quality Manager and my objective is to promote the data quality in my department, and to put in place a framework to remediate data quality issues.

Speaker of the following session:

How to tackle Data Quality issues