Reporting
and Data Visualization
Data visualization is
a key part of digital marketing that involves presenting raw data in visual formats like charts,
graphs, and tables to help people
understand it more easily.
Communicate insights
Data
visualizations can help marketers communicate the value of their work to
stakeholders and team members.
Make faster decisions
Data
visualizations can help marketers identify trends and patterns in large data
sets to make faster and more informed decisions.
Compare metrics
Data
visualizations can help marketers compare performance metrics across different
marketing channels.
Identify areas for
optimization
Data
visualizations can help marketers identify what marketing activities or
campaigns generate revenue, and where optimization is required.
Use design to
highlight key insights: Use color and size to spotlight the most
significant data points and insights.
Keep it simple: Avoid using too much text on the visualization.
Use whitespace: Whitespace can help the viewer focus on what's important.
Ensure it’s accessible: Create an accessible and easy-to-navigate user interface.
Adapt to different devices: Ensure the
dashboard adapts to different devices, such as computers and smart phones.
Limit the amount of
data: Limit the amount of data included to
avoid overwhelming users.
Some common tools used for data visualization
include: Tableau, Microsoft Excel, and Microsoft Power BI.
Tableau is a visual analytics platform that helps users connect to data sets, analyze them, and
create visual reports:
Features
Built-in visual
best practices
AI/ML
capabilities
Governance and
data management
Visual
storytelling
Collaboration
Interface
Tableau uses a drag-and-drop interface that translates actions into data
queries
Microsoft Power BI is a
business intelligence tool that helps users turn data into insights
that can be used to make decisions. It's made up of a collection of software, apps, and connectors that can
connect to data from a variety of sources, including Excel spreadsheets and cloud-based
data warehouses.
Conversion tracking and optimization 5
No comments:
Post a Comment