Andy Kriebel andykriebel.com 5 QUESTIONS TO HELP DEMYSTIFY YOUR DATA Andy Kriebel andykriebel.com WHEN? Analyze trends and patterns over time, identify seasonality, forecast future values, detect anomalies or outliers Andy Kriebel andykriebel.com WHERE? Identify patterns and relationships in geographic data, detect concentrations and outliers, determine trends Andy Kriebel andykriebel.com WHICH? Analyze categorical data, identifying relationships and dependencies, determine trends and patterns Andy Kriebel andykriebel.com WHO? Conduct cohort analysis, understand customer behaviors and demographics, analyze individual or team performance Andy Kriebel andykriebel.com WHY? Analyze frequencies, clusters and distributions, identify trends, patterns, relationships, correlations and causality between metrics Andy Kriebel andykriebel.com TIME SERIES ANALYSIS Andy Kriebel andykriebel.com WHAT IS IT? Time series analysis helps you understand trends and patterns over time, identify seasonality, and forecast future values Andy Kriebel andykriebel.com TREND ANALYSIS Helps you understand the overall increase or decrease over time Andy Kriebel andykriebel.com SEASONALITY Identify repeated patterns in the data, e.g., daily, weekly, monthly Andy Kriebel andykriebel.com CYCLICAL ANALYSIS Identify trends or cycles by the day-of-the-week or the month-of-the-year Andy Kriebel andykriebel.com FORECASTING Use historical data to predict future trends or events Andy Kriebel andykriebel.com ANOMALY DETECTION Identify outliers and unexpected patterns by clustering or segmenting Andy Kriebel andykriebel.com SPATIAL ANALYSIS Andy Kriebel andykriebel.com WHAT IS IT? Spatial analysis helps identify patterns and relationships in geographic data, detect concentrations, outliers, and trends Andy Kriebel andykriebel.com CLUSTER ANALYSIS Helps identify groups of similar characteristics or patterns in a dataset Andy Kriebel andykriebel.com NETWORK ANALYSIS Examines the connections between locations. Often used in route optimization and disease prevention Andy Kriebel andykriebel.com SPATIAL REGRESSION Helps determine relationships between geographic factors and a dependent variables e.g. crime rates vs. gini coeffecient by state Andy Kriebel andykriebel.com CATEGORICAL ANALYSIS Andy Kriebel andykriebel.com WHAT IS IT? Categorical analysis allows you to examine data that is qualitative in nature and can be measured using nominal or ordinal scales Andy Kriebel andykriebel.com FREQUENCY ANALYSIS Determine the number of occurrence of each category in a data set. For example, sales by region. Andy Kriebel andykriebel.com CLUSTER ANALYSIS Examines the correlations and similarities between multiple categorical variables. Andy Kriebel andykriebel.com TREND ANALYSIS Examine changes in categorical data over time. For example, sales by month by region. Andy Kriebel andykriebel.com MORE CHART TYPES Andy Kriebel andykriebel.com CUSTOMER AND TEAM ANALYSIS Andy Kriebel andykriebel.com WHAT IS IT? Analysis on people, customers, and employees to understand behaviors, the impact of demographics, and measure individual or team performance Andy Kriebel andykriebel.com DEMOGRAPHIC ANALYSIS Examine factors such as age, gender, ethnicity, education level, and income to understand the composition of a population and identify patterns or trends within the data. Andy Kriebel andykriebel.com COHORT ANALYSIS Groups users based on a shared characteristic to better track and understand their behaviors. Cohort analysis is typically used to understand customer churn or retention. Andy Kriebel andykriebel.com SENTIMENT ANALYSIS Determine the emotional tone to understand how people feel about a particular topic or brand. Helpful in identifying areas for improvement or opportunities for engagement. Andy Kriebel andykriebel.com BEHAVIORAL ANALYSIS Understand how people interact with your brand or product and identify areas for optimization. Analyze data like website traffic, social media engagement, or purchase history. Andy Kriebel andykriebel.com NETWORK ANALYSIS Examine connections between people within a group or network. Analyze data like social media connections or email communications. Identify influencers and dynamics between members of the network. Andy Kriebel andykriebel.com TIME SERIES ANALYSIS Analyze data over time to identify trends or patterns between customers, individuals or teams. Allows you to forecast future trends or identify seasonality. Andy Kriebel andykriebel.com GEOSPATIAL ANALYSIS Analyze the impact of geographic location. This can be used to identify regional trends or patterns, or to target marketing efforts to specific geographic regions. Andy Kriebel andykriebel.com DIAGNOSTIC ANALYSIS Andy Kriebel andykriebel.com WHAT IS IT? Diagnostic analysis helps identify why something happened and find anomalies in the data Andy Kriebel andykriebel.com CORRELATION ANALYSIS Understand the relationship between two or more variables. Useful for identifying patterns and trends in your data. Andy Kriebel andykriebel.com TIME-SERIES ANALYSIS Helps you understand trends and patterns over time, identify seasonality, and forecast future values Andy Kriebel andykriebel.com CLUSTER ANALYSIS Group similar data points together based on their characteristics. Identify customer segments, product categories, or other types of groupings. Andy Kriebel andykriebel.com FACTOR ANALYSIS Involves identifying underlying factors that explain the relationships between multiple variables. Andy Kriebel andykriebel.com PRINCIPAL COMPONENT ANALYSIS Reduce the dimensionality of the data by identifying the most important variables or factors. Helps identify key drivers of outcomes or to simplify complex data sets. Andy Kriebel andykriebel.com COMPARATIVE ANALYSIS identify characteristics that show similarity or differentiation between one group from another. E.g., what distinguishes successful from unsuccessful products? Andy Kriebel andykriebel.com ANOMALY DETECTION Identify outliers and unexpected patterns by clustering or segmenting Andy Kriebel andykriebel.com COHORT ANALYSIS Groups users based on a shared characteristic to better track and understand their behaviors. Cohort analysis is typically used to understand customer churn or retention. SIGN UP FOR MORE Andy Kriebel andykriebel.com
