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| 003 | ES-VaUEC | ||
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| 008 | 230724s2023 gw | s |||| 0|eng d | ||
| 020 | _a9783658410445 | ||
| 024 | 7 |
_a10.1007/978-3-658-41044-5 _2doi |
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_aES-VaUEC _bspa _cES-VaUEC |
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| 050 | 0 | 4 |
_aHF5601-5688 _b2024 |
| 100 | 1 |
_aSchön, Dietmar. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 0 | 0 |
_aPlanning and Reporting in BI-supported Controlling: _bFundamentals, Business Intelligence, Mobile BI, Big Data Analytics and AI _cby Dietmar Schön |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aWiesbaden _c2023 _bSpringer International Publishing |
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| 300 | 0 | 0 | _a1 recurso en línea |
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 505 | 0 | _aIntroduction -- Basics -- Technical content -- Organization and processes -- IT support -- Summary and outlook. | |
| 520 | _aPlanning and reporting solutions in many companies still suffer from poor data quality, are insufficiently integrated and are often time and cost intensive. Step by step, this practice-oriented book shows how things can be done differently. It systematically shows how modern planning and reporting systems in BI-supported controlling can be set up with the use of data warehouse and big data technology and usefully supplemented with AI-supported features. For the 4th edition, the book has been comprehensively updated. The extensive controlling cockpit example has been expanded. It now contains suggestions for the areas of corporate management (operational and strategic controlling), sales, production, purchasing and project management. In addition, the latest developments in BI-supported controlling with the support of traditional and explorative BI are highlighted, including data mining, predictive analytics, artificial intelligence, RPA, chatbots, data discovery, data visualization, app technology, self-service BI and cloud computing. Further innovations concern the topics of data quality and data modeling. The final chapter is "Mobile BI", which deals with the expansion of powerful mobile analysis and planning solutions with the help of tablets, mobile phones and other mobile devices. The content Basics of planning and reporting Proposals for management-specific and content-related design Organization and processes IT Implementation: Data Warehouse, Business Intelligence, Big Data, AI, RPA, Chatbots, Data Mining, Predictive Analytics, Data Discovery, Data Visualization, App Technology, Self-Service BI, Cloud Computing, Mobile BI The author Dietmar Schön is a professor at the University of Applied Sciences Dortmund with a focus on controlling and business intelligence. Due to his many years of corporate and consulting work, he has extensive experience from numerous planning and reporting projects. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. | ||
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-41044-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia) |
| 912 | _aZDB-2-BUM | ||
| 912 | _aZDB-2-SXBM | ||
| 942 |
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| 988 | _aSpringer_Business_2023 | ||
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_c238628 _d238628 |
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