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DATA ANALYSIS#1

The process of inspecting, cleansing, and modeling data to discover useful information and support decision-making.

COST-BENEFIT ANALYSIS#2

A financial assessment that compares the costs of an action or project to its benefits, helping to determine its feasibility.

OPERATIONAL IMPROVEMENT#3

Strategies and practices aimed at enhancing an organization's efficiency, effectiveness, and overall performance.

PRESENTATION SKILLS#4

The ability to effectively communicate information to an audience through verbal and visual means.

KPI METRICS#5

Key Performance Indicators are measurable values that demonstrate how effectively an organization is achieving key business objectives.

STAKEHOLDER#6

Individuals or groups with an interest in the outcome of a project or decision, including employees, customers, and shareholders.

DATA VISUALIZATION#7

The graphical representation of data to help users understand complex information quickly and clearly.

ROI (RETURN ON INVESTMENT)#8

A performance measure used to evaluate the efficiency of an investment, calculated by dividing net profit by the cost of the investment.

PREDICTIVE ANALYTICS#9

Techniques that use statistical algorithms and machine learning to identify the likelihood of future outcomes based on historical data.

DATA MINING#10

The practice of examining large datasets to uncover patterns, correlations, and trends that can inform business decisions.

SENSITIVITY ANALYSIS#11

A method used to predict the outcome of a decision given a certain range of variables, helping to assess risk.

STAKEHOLDER ENGAGEMENT#12

The process of involving stakeholders in decision-making to ensure their needs and concerns are addressed.

BENCHMARKING#13

Comparing business processes and performance metrics to industry bests or best practices from other companies.

FEEDBACK LOOP#14

A system where outputs of a process are circled back and used as inputs, helping to refine and improve future outcomes.

EXECUTIVE SUMMARY#15

A brief overview of a business case or report that highlights key points and recommendations for decision-makers.

DATA INTEGRITY#16

The accuracy and consistency of data over its lifecycle, crucial for reliable analysis and reporting.

QUALITATIVE ANALYSIS#17

An assessment that focuses on understanding the qualities or characteristics of data rather than numerical values.

QUANTITATIVE ANALYSIS#18

The use of mathematical and statistical methods to evaluate numerical data and inform decision-making.

COMMUNICATION STRATEGIES#19

Plans developed to effectively convey information and engage with stakeholders to achieve desired outcomes.

NARRATIVE TECHNIQUES#20

Methods used to structure and present information in a compelling way that engages an audience.

DOCUMENTATION#21

The process of recording and organizing information, findings, and recommendations in a clear and structured format.

FINAL PRESENTATION#22

The concluding presentation that summarizes all analyses and findings, aimed at persuading stakeholders.

OPERATIONAL METRICS#23

Quantifiable measures used to assess the performance and efficiency of business operations.

DATA-DRIVEN DECISION MAKING#24

A process of making decisions based on data analysis and interpretation rather than intuition or personal experience.

COST ANALYSIS#25

The process of evaluating the costs associated with a business operation or project, essential for effective budgeting.