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6.5 - Coggle Diagram
6.5
A Data Driven Organization
(The promise of BI&A)
It could be seen that BI provides the platform for BA
"Or it could be seen that BA is a key component of BI, the component that provides actionable insights that shapes future decision making"
There are barriers to become a data-driven organization
Waller (2020) stresses that the challenge that organisations face is cultural rather than technical, offering a ten-step guide to becoming data driven, which emphasises the role of leadership.
Berndtsson (2018) Five Enablers to becoming data-driven:
Decision Process
Tools
Relate to BI&A
Data
All decisions must be made using data
Gut-feel should not play a part
Relate to BI&A
Organization
Management
investing in BI&A software will not create a data-driven organisation. With hard work and the right culture, BI&A has the potential to transform organisations,
Business Intelligence (BI) & Business Analytics (BA)
Business Intelligence & Business Analytics are both new terms for DSS
Business Intelligence (BI)
“BI systems combine data gathering, data storage, and knowledge management with analytical tools to present complex internal and competitive information to planners and decision makers.”
Solomon Negash (204, p178)
Components of BI
Real-time data warehousing
Data mining
Data visualisation
BI combines structured and unstructured data
Structured Data
Data Warehousing
Data mining
OLAP
DSS
Unstructured Data
Graphics
Web pages
Conversations
Spreadsheets
the term is used to describe a range of software applications capable of handling large amounts of data to create actionable insights that can inform decision making and enable organizations to compete
Business Analysis (BA)
“the extensive use of data, statistical and quantitative analysis, explanatory and predictive models and fact-based management to drive decisions and actions.”
Davenport and Harris (2007, p.7).
Types of Analytics:
Predictive Analytics
Builds on descriptive analytics, using historical data to identify what is likely to happen in the future
What, when and why it will happen?
Create knowledge about what might happen
Prescriptive Analytics
Focused on improvement
Generate the wisdom (actionable insight) to act upon
Descriptive Analytics (reporting)
Establish what is happening within an organization
How do we benefit from these predictions?
Create information about the past and current situation
A general approach to decision making