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Data science teams use business ties to boost data knowledge
This article is part of the Business Information issue of October 2018, Vol. 6, No. 5
Data scientists are adept at manipulating data and building analytical models to run against it. But they may not be well-versed in the meaning and relevance of business data, which is prompting data science teams to link up with business analysts and other workers who can help them better understand the data they analyze. Closer ties to business data experts can also reduce the upfront data preparation work by data scientists. Data prep often eats up a large chunk of their time, but leaning on curated data sets created by the likes of business analysts frees up data scientists to focus more on their analytics duties -- and guarantees they're working with data germane to business operations. That's in keeping with the main goal: ensuring that the advanced analytics work done by data science teams aligns with real business needs and issues. "We always have business representation [in the analytics process], because there's no value in manipulating data for no valid reason," said Christian Anschuetz, chief digital officer at ...
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Features in this issue
From Tableau to Google, vendors increasingly incorporate augmented and automated analytics tools into their software to speed analytics work and open it up to more users.
They don't own the same depth of data science skills, but automated predictive analytics tools hatch a new breed of 'data scientists' who can produce actionable predictive models.
To ensure that advanced analytics applications are relevant to business operations, data scientists are collaborating with workers who are experts on business data.
News in this issue
The rise of augmented analytics empowers businesses to find correlations in data that might very well be the critical difference in operational efficiency and cost savings.
Columns in this issue
The University of California, San Diego implemented an SAP HANA platform that uses advanced analytics and machine learning to run operations and help students graduate on time.
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