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- Produkterinnerung
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 156mm x 16mm
- Gewicht: 372g
- ISBN-13: 9781398609280
- ISBN-10: 1398609285
- Artikelnr.: 63934603
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Kogan Page Ltd
- Artikelnr. des Verlages: 14657
- Seitenzahl: 240
- Erscheinungstermin: 27. Juni 2023
- Englisch
- Abmessung: 234mm x 156mm x 16mm
- Gewicht: 372g
- ISBN-13: 9781398609280
- ISBN-10: 1398609285
- Artikelnr.: 63934603
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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 and driving thought leadership. He is the founder and CEO of Bodhi Data and Senior Vice President of Data and AI Transformation for AgileOne, helping to utilize data and AI in the total talent management space. Morrow is a global trailblazer in the world of data literacy and enjoys his time traveling the world speaking and/or helping companies. He served as the Chair of the Advisory Board for The Data Literacy Project, has spoken at numerous conferences around the world, and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and understand data literacy. Morrow is based near Salt Lake City, Utah and is the author of four books: Be Data Literate, Be Data Driven, Be Data Analytical, and Business 101 for the Data Professional all published by Kogan Page.
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;