Solving data science problems with Record Matching

Presentation by Data Science alum Jordan McIver ’15

presentation

Every organisation needs to be able to properly connect disparate datasets to take full advantage of their data assets. Alchemmy held an event to discuss approaches and technologies to connect datasets and watchouts to consider once they are connected.

Check out my talk here where we look at an approach that best enables data scientists by partnering them with the other staff who actually hold the context of the data:

Video summary

Most businesses have some or all of the following problems: not enough data science resources for the work required; a large community of data-adjacent staff who have most of the context but are not contributing what they know in the right way; data science problems lacking that same context; algorithms that cannot overcome a lack of data quality or availability of training data. Jordan walks through the use of interactive dashboards where users quality assess the data and this feeds back into the data science process which addresses these problems.

Jordan

Jordan McIver ’15 is Head of Data Consulting at Alchemmy in London. He is an alum of the Barcelona GSE Master’s in Data Science.

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