DA-Data Centric Analysis Process ()
DA-Data Centric Analysis Process
Data-Centric Analysis focuses on deriving value by treating data as a primary asset throughout the decision-support lifecycle. It begins with understanding the business context and identifying key questions or objectives, followed by discovering, collecting, and assessing the quality and relevance of available data. Analysts then apply techniques such as descriptive statistics, visualization, and exploratory or confirmative data analysis to gain insights. The process emphasizes semantic consistency, data governance, and metadata management to ensure data is trustworthy, interoperable, and reusable across domains. Insights generated are interpreted in context and communicated effectively to stakeholders to inform data-driven decision making.
Data Centric Analysis Data-Driven Decision Making
Data Centric Analysis Develop ML Model
Data Centric Analysis Acquire Data
Data Centric Analysis Prepare Data
Define Problem Acquire Data
Define Problem analytical problem statement
Define Problem business problem statement
Analyze Data Present Findings
Analyze Data clean/structured data
Analyze Data Insights
Analyze Data Exploratory Data Analysis (EDA)
Analyze Data Confirmatory Data Analysis (CDA)
Analyze Data ML Model
Present Findings Data Story
Present Findings Data Analytics Report
Present Findings Analytical Visualisation
Present Findings Analytical insights artefacts produced
ML support required? Analyze Data
ML support required? Develop ML Model
Develop ML Model clean/structured data
Develop ML Model ML Model
Acquire Data Prepare Data
Acquire Data raw data
Prepare Data raw data
Prepare Data Organize Data
Prepare Data Clean Data
Prepare Data clean/structured data
Prepare Data ML support required?
Data Analyst Analyze Data
Data Analyst Prepare Data
Data Scientist Analyze Data
Data Engineer Acquire Data
Data Engineer Prepare Data
Visualization Designer Present Findings
Business Analyst Define Problem
Decision Maker Data-Driven Decision Making
Decision Maker Define Problem
Data-Driven Decision Making Data-Driven Decision-Making
Data-Driven Decision Making business problem statement
Data-Driven Decision Making Need for data centric analysis identified
Data-Driven Decision Making Data Story
Data-Driven Decision Making Data Analytics Report
Data-Driven Decision Making Analytical Visualisation
Need for data centric analysis identified Define Problem
Data Librarian Acquire Data
ML Engineer Analyze Data
Data Analyst Present Findings