The State University of New York
Data-Driven Decision Making (DDDM) Specialization
The State University of New York

Data-Driven Decision Making (DDDM) Specialization

Make better organizational decisions. Improve the bottom line by viewing issues from a data perspective

Akshay Sivadas
Peter Baumgartner
Brittany O'Dea

Instructors: Akshay Sivadas

12,760 already enrolled

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Get in-depth knowledge of a subject
4.6

(258 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(258 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify gaps in data collection processes needed to drive improvements

  • Compare and contrast data analysis and visualization tools for generating metrics dashboards

  • Define techniques to validate performance metrics and data integrity

  • Prepare and present multiple examples of data-driven decision making

Details to know

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Taught in English

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Specialization - 3 course series

What you'll learn

  • Develop a plan to align operational and performance goals

  • Devise a data collection strategy and validate data integrity

  • Understand how to create current and future state process maps

  • Prioritize data gaps for root cause analysis

Skills you'll gain

Category: Gap Analysis
Category: Key Performance Indicators (KPIs)
Category: Process Analysis
Category: Process Flow Diagrams
Category: Data-Driven Decision-Making
Category: Business Analytics
Category: Data Integrity
Category: Data Collection
Category: Performance Measurement
Category: Process Mapping
Category: Internet Of Things
Category: Business Process Improvement
Category: Operational Performance Management
Category: Data Strategy

What you'll learn

  • Identify stakeholders and key components imperative to an analytics project plan

  • Name strengths and weaknesses of different analysis and visualization tools

  • Visually identify, monitor, and remove process variation

  • Explain how to create a compelling data story

Skills you'll gain

Category: Data Analysis
Category: Key Performance Indicators (KPIs)
Category: Process Analysis
Category: Data storytelling
Category: Data-Driven Decision-Making
Category: Business Analytics
Category: Minitab
Category: Data Cleansing
Category: Data Quality
Category: Business Process
Category: Business Strategies
Category: Statistical Process Controls
Category: Statistical Analysis
Category: Data Visualization Software

What you'll learn

  • Describe techniques to Identify root causes of variation and tools for evaluating potential solutions

  • Apply the Design of Experiments (DOE) technique to test improvement options

  • Evaluate, for a specific organization, which operational excellence methodology provides the maximum value

  • Explain how to foster a culture of data literacy

Skills you'll gain

Category: Data Ethics
Category: Data Security
Category: Six Sigma Methodology
Category: ISO 9000 Series
Category: Process Improvement
Category: Data-Driven Decision-Making
Category: Operational Efficiency
Category: Data Literacy
Category: Root Cause Analysis
Category: Analytics
Category: Internet Of Things
Category: Decision Making
Category: Operational Excellence
Category: Lean Methodologies
Category: Quality Management Systems

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Instructors

Akshay Sivadas
The State University of New York
3 Courses33,112 learners

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