Data & Business Intelligence
Data & Business Intelligence encompasses the strategies, technologies, and practices for analyzing and utilizing data to support business decisions.
- Knowledge domains
- /Thematic areas
- /Segments
- /Building blocks
Analytics & Metrics
This segment covers deriving and applying analytics and metrics to support decision-making. It includes analysis types, aggregation and segmentation logic, comparisons and trend views, and interpretation frames for results. The focus is on structuring evaluations and ensuring metrics are traceable, independent of how results are visualized or organizationally adopted.
Cohort Analysis
An analytical approach for evaluating groups of users over a specific time period.
KPI Definition Workshop
A workshop to define and establish KPIs that make business success measurable.
Metric Tree Analysis
A structured method for visualizing and analyzing metrics.
Business Intelligence (BI)
Business Intelligence (BI) includes technologies, applications, and practices for analyzing data and providing actionable insights.
Key Performance Indicator (KPI)
KPI is a measurable number that evaluates the success of a company or a specific activity.
Leading vs. Lagging Indicators
An analysis of the differences between leading and lagging indicators in performance evaluation.
Metric Hierarchies
Metric hierarchies are a structured system for organizing and visualizing metrics and their relationships.
Online Analytical Processing (OLAP)
OLAP (Online Analytical Processing) is a technology that allows for fast complex queries on large datasets.
Time Series Databases
Time series databases are specialized data stores for storing and analyzing time-ordered data.
Apache Superset
Apache Superset is a modern data visualization tool that provides a user-friendly interface for data analysis.
Looker
Looker is a data analytics and business intelligence platform.
Metabase
An open-source tool for data visualization and analysis.