eBook
Data Curious : Applying Agile Analytics for Better Business Decisions
| Τίτλος: | Data Curious : Applying Agile Analytics for Better Business Decisions |
|---|---|
| Περιγραφή: | Data has been a missing part of most academic curriculums for a long time, and we're all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data curious organization will take advantage of the burgeoning data resources available as a result of increasing digitalization.With this book, authors Carl Allchin and Sarah Nabelsi show today's business professionals how to become data empowered. These tech-savvy business professionals will learn data literacy fundamentals—from understanding the possibilities to asking the right questions. You'll discover how to make the right technology choices and avoid pitfalls that could put your career and company at risk.Discover what an agile, empowered, data-driven organization should look likeExamine how to use data in new ways to help your business come to lifeLearn key terms and concepts around data management and analyticsUnderstand the differences between spreadsheet analysis and a data analytics pipelineGet advice for working with data scientists and explore ways to mitigate the IT department's concerns |
| Συγγραφείς: | Carl Allchin, Sarah Nabelsi |
| Resource Type: | eBook. |
| Θέματα: | Decision making, Business intelligence--Computer programs, Business intelligence--Data processing |
| Categories: | COMPUTERS / Data Science / Data Visualization, BUSINESS & ECONOMICS / Skills, COMPUTERS / Business & Productivity Software / Business Intelligence, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Machine Learning |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 3648708 RelevancyScore: 969 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 968.509704589844 |
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| Items | – Name: Title Label: Title Group: Ti Data: Data Curious : Applying Agile Analytics for Better Business Decisions – Name: Abstract Label: Description Group: Ab Data: Data has been a missing part of most academic curriculums for a long time, and we're all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent expensive missteps. Developing a data curious organization will take advantage of the burgeoning data resources available as a result of increasing digitalization.With this book, authors Carl Allchin and Sarah Nabelsi show today's business professionals how to become data empowered. These tech-savvy business professionals will learn data literacy fundamentals—from understanding the possibilities to asking the right questions. You'll discover how to make the right technology choices and avoid pitfalls that could put your career and company at risk.Discover what an agile, empowered, data-driven organization should look likeExamine how to use data in new ways to help your business come to lifeLearn key terms and concepts around data management and analyticsUnderstand the differences between spreadsheet analysis and a data analytics pipelineGet advice for working with data scientists and explore ways to mitigate the IT department's concerns – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Carl+Allchin%22">Carl Allchin</searchLink><br /><searchLink fieldCode="AR" term="%22Sarah+Nabelsi%22">Sarah Nabelsi</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Business+intelligence--Computer+programs%22">Business intelligence--Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Business+intelligence--Data+processing%22">Business intelligence--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Visualization%22">COMPUTERS / Data Science / Data Visualization</searchLink><br /><searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Skills%22">BUSINESS & ECONOMICS / Skills</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Business+%26+Productivity+Software+%2F+Business+Intelligence%22">COMPUTERS / Business & Productivity Software / Business Intelligence</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+General%22">COMPUTERS / Data Science / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Modeling+%26+Design%22">COMPUTERS / Data Science / Data Modeling & Design</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3648708 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 658.472 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Decision making Type: general – SubjectFull: Business intelligence--Computer programs Type: general – SubjectFull: Business intelligence--Data processing Type: general Titles: – TitleFull: Data Curious : Applying Agile Analytics for Better Business Decisions Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Carl Allchin – PersonEntity: Name: NameFull: Sarah Nabelsi – PersonEntity: Name: NameFull: Carl Allchin – PersonEntity: Name: NameFull: Sarah Nabelsi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 17 M: 08 Type: profile Y: 2023 Identifiers: – Type: isbn-print Value: 9781098143831 – Type: isbn-electronic Value: 9781098143800 – Type: isbn-electronic Value: 9781098143794 Titles: – TitleFull: Data Curious : Applying Agile Analytics for Better Business Decisions Type: main |
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