The document outlines the significance of data analytics in digital business and business process management, highlighting four key areas: data process to assets, statistical analysis, data management and governance, and data visualization. It emphasizes the role of analytics in informed decision-making, competitive advantage through technologies, and various types of data analytics such as descriptive, diagnostic, predictive, and prescriptive. Additionally, it discusses goals and components of data management and governance, and introduces a data analytics certificate program aimed at enhancing business insights.

1. Data Analytics
The Role of Data Analytics in
Digital Business and Business
Process Management
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2. 4 Key Areas of Data Analytics
Area Description
Data Process to Data Assets Understanding the life cycle of data and recognizing
or creating data assets from that data or the analysis
of that data
Statistical Analysis The analytics and mathematical operations used for
analysis on sets of data
Data Management and Data Governance The processes for managing and protecting data and
data assets
Data Visualization How to tell the story of your data and data analysis in
order to gain insights for your organization

3. Types of
Data
https://en.wikipedia.org/wiki/Data

4. Data Analytics?
From Wikipedia
• Data analysis is a process of inspecting,
cleansing, transforming, and modeling
data with the goal of discovering useful
information, informing conclusions,
and supporting decision-making…. In
today's business, data analysis is
playing a role in making decisions more
scientific and helping the business
achieve effective operation.

5. Data Analytics in
Digital Business
• Combined with Social, Mobile, and Cloud
technologies, analytics is creating a
competitive advantage in digital business
(SMAC)
• Artificial intelligence applications
• Voice recognition
• Ecommerce
• News feeds
• Advertising customization
• Banking applications
• Big data applications

6. Types of Data Analytics
Descriptive: describing what happened
Diagnostic: explaining why something
happened
Predictive: anticipating the future
Prescriptive: attempting to change the future

7. Predictive Analytics Process
©Joanne Carswell 2019

8. Goals for Data
Management
• Quality
• Accessibility
• Availability
• Reliability
• Performance
• Maintainability
• Timeliness
• Gain insights into business
• Better business decisions

9. Components of Data Management
Security Quality Storage Usage
Software
Engineering

10. Goals for Data
Governance
• Increase compliance
• Improve security
• Maximize use of data as an asset
• Increase consistency between
data assets
• Create structure for use of data
• Create accountability for data
quality

11. Components of Data Governance
Ethics
Compliance
Management
Disaster
Recovery
Security
Asset
Management

12. What is a Visual?
• Any graph, chart, report, table, or text used to allow
analysis on data or view results of analysis
• Uses
• Initial analysis
• Display the results of analysis
• Communicate findings
• Provide insights
• Benefits
• Communicate findings easier
• Create discussions
• Inform all levels of the organization
• Easier to understand
• Realizes patterns
• Allows you to tell the data story

13. Data Analytics Certificate Program: Four Courses
Area Class Description
Data Process to Data Assets Data Analytics 101
Using Data to Provide Insights for
Your Organization
Understanding the life cycle of data and
recognizing or creating data assets from
that data or the analysis of that data
Statistical Analysis Statistics for Data Analytics
Using Statistics to Gain Business
Insights
The analytics and mathematical
operations used for analysis on sets of
data
Data Management and Data
Governance
Data Management and Data
Governance
Managing and Protecting Data
Assets for Your Organization
The processes for managing and
protecting data and data assets
Data Visualization Visualizations for Data Analytics
Choosing the Best Visuals to Create
Data Insights
How to tell the story of your data and
data analysis in order to gain insights
for your organization

14. More About Digital Customer Experience
Data Analytics is a program available from
BPMInstitute.org and part of a digital business
certificate program.
To learn more, please visit:
www.bpminstitute.org/learning-paths
Schedule a complimentary consultation:
www.bpminstitute.org/schedule-appointment
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15. Data Analytics
Connecting Data Analytics to
Digital Business and Business
Process Management
© Copyright 2019. BPMInstitute.org. All rights reserved