Name: SAS to Open Source Migration in the Data-driven Era
Start: 2022-02-21T10:00:00Z
End: 2022-02-21T10:00:57.000Z
Location: BrightTALK
Rating: 0

DataIQ award-winning thought leadership for data science leaders seeking to foster a data-driven culture, build an effective data science capability, or deliver value using data science and advanced analytics.

As data and analytic literacy becomes an essential and necessary driver to deliver business value from data science initiatives, this webinar will provide you with valuable insights into how to engage and work effectively with key stakeholders and inspire your business to become a truly data-driven organisation.

Join Mango’s Chief Data Scientist, Rich Pugh as he demystifies the complex world of data and analytics and guides you through how advanced analytics can add real value.

Data & Analytics: Never Mind The Buzzwords

Our recent research in conjunction with DataIQ reveals as much as 17.9% of a company’s revenue is expected to be attributed to a company with advanced data science capabilities.

Blending team requirements with business objectives and building skills and capability to match, is an essential and pivotal driver of business value.

You can’t be a data-driven business if your teams operate in silos or they lack skills to work effectively with data, and you can’t build lasting capability unless you understand the skills required to meet your objectives and how to leverage them.

This webinar focuses on how to effectively address these strategies and provide essential insight whilst evolving a lasting, capable and highly skilled team.

Hosted by Rich Pugh, Chief Data Scientist of Mango Solutions, shortlisted for the 2020 Data & Analytics 'Leader of the Year (Enabler)‘ award and part of the DataIQ 100.

Mango Solutions is a DataIQ award-winning company that specialises in building strong analytic capability within organisations, focused on data-driven transformation.

How to Build a Brilliant Data Science Capability

With most universities having adopted R and Python as their primary analytical programming language for mathematics and statistics courses, companies recruiting a new graduate can’t now expect them to have SAS skills. Ultimately, businesses are looking to get one step ahead of their competition by utilising the latest and greatest algorithms – which is available instantly via open source,  as opposed to having to wait for the next SAS release.

SAS to Open Source Migration in the Data-driven Era

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SAS to Open Source Migration in the Data-driven Era

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