Data Collection: Gathering data from various sources such
as customer interactions, sales, social media, sensors, and
internal business operations.
Data Processing: Cleaning and organizing raw data to make
it usable, often using tools like data warehouses or databases.
Descriptive Analytics: Analyzing historical data to
understand what happened in the business. This includes the use of
dashboards and reports to visualize trends and patterns.
Data Visualization: Presenting data in graphical or
pictorial formats such as charts, graphs, and heat maps to help
stakeholders quickly grasp insights and trends.
Business Intelligence (BI): Leveraging data analytics tools
and platforms (e.g., Tableau, Power BI) to make informed business
decisions, often in real time.
Performance Metrics: Measuring business performance using
KPIs (Key Performance Indicators) such as revenue growth, customer
acquisition cost, or operational efficiency to track progress and
identify areas for improvement.
