Using Data Analytics to Improve Decision Making

Discover the Importance of Treating Data as a Business Asset and the Role of Data in Decision-Making

Discover how cohort learning can help your team

Sviluppato in partnership con:


Argomenti:

  • Data Science

Authors:

Foster Provost

Professor, Information Systems and Andre Meyer Faculty Fellow at NYU Stern School of Business


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Tailored to your company’s specific needs

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Guided learning with experienced moderators

Mix of daily self-paced learning and peer-to-peer learning

Engagement icon

Bite-sized lessons allow for learning in the flow of work

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Multi-modal activities appeal to varied learning styles

paper checklist and pen icon

Written discussions and live sessions for peer-to-peer learning

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AI-fueled analytics provide actionable insights

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Dedicated Customer Engagement Team

Firms need to enable strategies across their enterprise with data at the core. The data analytics captured will lead to faster and smarter decision making, augmented by critical, conceptual, and creative thinking. Leaders will improve how they diagnose problems, make better decisions, and take actions that improve business performance.

Organizations can start the journey to utilize the enormous power of data science by beginning to build competence in four areas:

  1. Treating data like a strategic business asset
  2. Asking the right questions in data analysis projects
  3. Improving data quality
  4. Shaping a data analytical culture

This course illustrates why data-driven decision making drives improved business performance. It outlines the importance of generating actionable insights from data using business-value questioning and high-quality data and also explains why it takes the combination of a data analytical culture and leadership support to facilitate better diagnoses, better decisions, and more beneficial actions.

This course features:

  • 30 minutes of formal learning a day
  • One 60-minute virtual live event
  • Moderator support of questions, comments, and group engagement
  • Data Analytics Toolkit
Download the Course Overview

Learners Will:

  • Practice developing actionable insights from data
  • Discuss the quality and availability of data across the organization, and make recommendations for improvement
  • Collaborate with senior-level colleagues to gain consensus on the need to transform the culture to capture the value of data-driven decision making

Discover how cohort learning can help your team

Sviluppato in partnership con:


Argomenti:

  • Data Science

Authors:

Foster Provost

Professor, Information Systems and Andre Meyer Faculty Fellow at NYU Stern School of Business


Handshake icon

Tailored to your company’s specific needs

Directional signs icon

Guided learning with experienced moderators

Mix of daily self-paced learning and peer-to-peer learning

Engagement icon

Bite-sized lessons allow for learning in the flow of work

Hand engaging with shapes

Multi-modal activities appeal to varied learning styles

paper checklist and pen icon

Written discussions and live sessions for real-time collaboration

AI robot icon

AI-fueled analytics provide actionable insights

Target icon

Dedicated Customer Engagement Team

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