Advanced Analytics

Our advanced analytics team has real-world experience implementing data science projects. We follow the CRISP-DM methodology, which starts first and foremost with the business understanding of the question or challenge.  

We also understand that quantity alone is not sufficient to produce meaningful results. After identifying a business case, we examine the data that would support it to ensure its ready to accurately, contextually, and completely fulfill its purpose.
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With all of the hype around machine learning and deep learning, we don't overpromise. Instead, we are transparent about the current state of your data and its readiness to produce a meaningful result, including whether additional processes must be put in place and whether data quality remediation is necessary before doing any modeling.

Our advanced analytics team is capable of delivering results by leveraging using one or a combination of a variety of languages and platforms including Azure ML Studio, Azure ML Services, R, and Python. Marlabs maintains partnerships with Snowflake, Tableau, and Microsoft to allow us to more effectively train our consultants in their respective technologies. At the same time, this also gives us line of sight to upcoming roadmap features.