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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.