Advanced Analytics

Our advanced analytics team has been built pulling resources with 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 at hand.  In doing so, we help customers focus on the value of what will be delivered.  

We also understand that the quantity and quality of data is not always sufficient to produce meaningful results, and one absolutely key step after identifying a meaningful business case is to examine the data that would support it.  With all of the hype around machine learning and deep learning, we do not overpromise.  

Instead, we are transparent about the current state of your data and its readiness to produce a meaningful result.  Sometimes, additional processes to collect additional data must be put in place. Sometimes, data quality remediation is necessary before doing any modeling. Overall, our focus is on delivering value to your business and being honest with you about what it will take to get that value.

Additionally, 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 and functionality that will best help our clients.