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Learn to use analytics more effectively, convert data into value and facilitate smarter and better decision-making for your organization.
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Learn to use analytics more effectively, convert data into value and facilitate smarter and better decision-making for your organization.
Produktdetails
- Produktdetails
- Verlag: Kogan Page Ltd
- Artikelnr. des Verlages: 14657
- Seitenzahl: 240
- Erscheinungstermin: 27. Juni 2023
- Englisch
- Abmessung: 234mm x 158mm x 17mm
- Gewicht: 372g
- ISBN-13: 9781398609280
- ISBN-10: 1398609285
- Artikelnr.: 63934603
- Verlag: Kogan Page Ltd
- Artikelnr. des Verlages: 14657
- Seitenzahl: 240
- Erscheinungstermin: 27. Juni 2023
- Englisch
- Abmessung: 234mm x 158mm x 17mm
- Gewicht: 372g
- ISBN-13: 9781398609280
- ISBN-10: 1398609285
- Artikelnr.: 63934603
Jordan Morrow is known as the "Godfather of Data Literacy", having helped pioneer the field by building one of the world's first data literacy programs. He is the founder and CEO of Bodhi Data, served as the Chair of the Advisory Board for The Data Literacy Project and has helped companies and organizations around the world, including the United Nations, build and understand data literacy. Morrow is the author of three books: Be Data Literate, Be Data Driven, and Be Data Analytical, all published by Kogan Page. He is based near Salt Lake City, Utah.
Chapter
00: Introduction; Section
ONE: Data and analytics; Chapter
01: Defining data and analytics; Chapter
02: Defining the four levels of analytics; Chapter
03: The power of analytics in decision making; Section
TWO: The four levels of analytics
define, empower, understand and learn; Chapter
04: Descriptive analytics; Chapter
05: How are descriptive analytics used today?; Chapter
06: How individuals and organizations can improve in descriptive analytics; Chapter
07: Diagnostic analytics; Chapter
08: How are diagnostic analytics used today?; Chapter
09: How individuals and organizations can improve in diagnostic analytics; Chapter
10: Predictive analytics; Chapter
11: How are predictive analytics used today?; Chapter
12: How individuals and organizations can improve in predictive analytics; Chapter
13: Prescriptive analytics; Chapter
14: How are prescriptive analytics used today?; Chapter
15: How individuals and organizations can improve in prescriptive analytics; Section
Three: Bringing it all together; Chapter
16: Using all four levels of analytics to empower decision making; Chapter
17: Conclusion;
00: Introduction; Section
ONE: Data and analytics; Chapter
01: Defining data and analytics; Chapter
02: Defining the four levels of analytics; Chapter
03: The power of analytics in decision making; Section
TWO: The four levels of analytics
define, empower, understand and learn; Chapter
04: Descriptive analytics; Chapter
05: How are descriptive analytics used today?; Chapter
06: How individuals and organizations can improve in descriptive analytics; Chapter
07: Diagnostic analytics; Chapter
08: How are diagnostic analytics used today?; Chapter
09: How individuals and organizations can improve in diagnostic analytics; Chapter
10: Predictive analytics; Chapter
11: How are predictive analytics used today?; Chapter
12: How individuals and organizations can improve in predictive analytics; Chapter
13: Prescriptive analytics; Chapter
14: How are prescriptive analytics used today?; Chapter
15: How individuals and organizations can improve in prescriptive analytics; Section
Three: Bringing it all together; Chapter
16: Using all four levels of analytics to empower decision making; Chapter
17: Conclusion;
Chapter
00: Introduction; Section
ONE: Data and analytics; Chapter
01: Defining data and analytics; Chapter
02: Defining the four levels of analytics; Chapter
03: The power of analytics in decision making; Section
TWO: The four levels of analytics
define, empower, understand and learn; Chapter
04: Descriptive analytics; Chapter
05: How are descriptive analytics used today?; Chapter
06: How individuals and organizations can improve in descriptive analytics; Chapter
07: Diagnostic analytics; Chapter
08: How are diagnostic analytics used today?; Chapter
09: How individuals and organizations can improve in diagnostic analytics; Chapter
10: Predictive analytics; Chapter
11: How are predictive analytics used today?; Chapter
12: How individuals and organizations can improve in predictive analytics; Chapter
13: Prescriptive analytics; Chapter
14: How are prescriptive analytics used today?; Chapter
15: How individuals and organizations can improve in prescriptive analytics; Section
Three: Bringing it all together; Chapter
16: Using all four levels of analytics to empower decision making; Chapter
17: Conclusion;
00: Introduction; Section
ONE: Data and analytics; Chapter
01: Defining data and analytics; Chapter
02: Defining the four levels of analytics; Chapter
03: The power of analytics in decision making; Section
TWO: The four levels of analytics
define, empower, understand and learn; Chapter
04: Descriptive analytics; Chapter
05: How are descriptive analytics used today?; Chapter
06: How individuals and organizations can improve in descriptive analytics; Chapter
07: Diagnostic analytics; Chapter
08: How are diagnostic analytics used today?; Chapter
09: How individuals and organizations can improve in diagnostic analytics; Chapter
10: Predictive analytics; Chapter
11: How are predictive analytics used today?; Chapter
12: How individuals and organizations can improve in predictive analytics; Chapter
13: Prescriptive analytics; Chapter
14: How are prescriptive analytics used today?; Chapter
15: How individuals and organizations can improve in prescriptive analytics; Section
Three: Bringing it all together; Chapter
16: Using all four levels of analytics to empower decision making; Chapter
17: Conclusion;