Remove Modeling Remove Optimization Remove Prescriptive Analytics Remove ROI
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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

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Are Analytics Translators & Citizen Data Scientists Critical?

Smarten

Transform Your Culture with Analytics Translators and Citizen Data Scientists! As business becomes more competitive, as markets get tighter, there is a need to leverage and optimize your resources to the greatest extent possible.

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Analytics Translator? Citizen Data Scientist? What is the Difference?

Smarten

Gartner defines a Citizen Data Scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.’ What is a Citizen Data Scientist (Citizen Analyst)? A power user of self-serve BI tools.

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What Is Embedded Analytics?

Jet Global

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. Return on Investment Now we bring it all together to calculate the ROI on embedded analytics.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Decision modeling (one of my favorites). Explore in dialogue decisions and outcomes rather than focus on data and analytics asked for. Try some gamification?

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A Guide to Data Analytics in the Travel Industry

Alation

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Some companies struggle to optimize their data’s value and leverage analytics effectively.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields). How is Data Virtualization performance optimized? What is the cost and ROI of Data Virtualization? Prescriptive analytics.