eBook
Recent Trends and Future Direction for Data Analytics
| Τίτλος: | Recent Trends and Future Direction for Data Analytics |
|---|---|
| Περιγραφή: | In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence. This book is designed as a comprehensive resource for academia and industry alike. It serves as a roadmap for understanding the current state of data analytics and anticipating its future trajectories. By offering a blend of theoretical foundations and practical applications, it empowers readers to unlock the full potential of data analytics, driving innovation, informed decision-making, and transformative change across diverse sectors. |
| Συγγραφείς: | Aparna Kumari |
| Resource Type: | eBook. |
| Θέματα: | Quantitative research, Quantitative research--Data processing, Big data |
| Categories: | COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Modeling & Design |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 3910619 RelevancyScore: 975 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 974.776672363281 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Recent Trends and Future Direction for Data Analytics – Name: Abstract Label: Description Group: Ab Data: In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence. This book is designed as a comprehensive resource for academia and industry alike. It serves as a roadmap for understanding the current state of data analytics and anticipating its future trajectories. By offering a blend of theoretical foundations and practical applications, it empowers readers to unlock the full potential of data analytics, driving innovation, informed decision-making, and transformative change across diverse sectors. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Aparna+Kumari%22">Aparna Kumari</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research--Data+processing%22">Quantitative research--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</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> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3910619 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 001.42 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Quantitative research Type: general – SubjectFull: Quantitative research--Data processing Type: general – SubjectFull: Big data Type: general Titles: – TitleFull: Recent Trends and Future Direction for Data Analytics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aparna Kumari – PersonEntity: Name: NameFull: Aparna Kumari IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 – D: 17 M: 12 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9798369336090 – Type: isbn-electronic Value: 9798369336106 – Type: isbn-electronic Value: 9798369336113 Titles: – TitleFull: Recent Trends and Future Direction for Data Analytics Type: main |
| ResultId | 1 |