Knowledge layer in BI architecture of ERP system: principles and implementation
| Thesis title: | Znalostní nadstavba BI platformy ERP systému: principy a implementace |
|---|---|
| Author: | Stejskal, Pavel |
| Thesis type: | Diplomová práce |
| Supervisor: | Voráček, Jan |
| Opponents: | Černohorský, Petr |
| Thesis language: | Česky |
| Abstract: | Tato práce se zabývá otázkou rozšíření provozních ERP systémů o znalostní nadstavbu, kterou lze implementovat do existujícího Business Intelligence řešení. Cílem je uvést nástroje a metody znalostního managementu v kontextu s tradičními prostředky Business Intelligence. Dále je navržen koncept obchodní strategie a implementační filozofie pro poskytovatele znalostní vrstvy. Koncept je ilustrován na modelové situaci mezi výrobní firmou a dodavatelem znalostního nástroje. Koncept zahrnuje fáze typické pro softwarový projekt: prototyp modelu, rozšíření modelu, validaci a integraci do zákazníkova BI řešení. |
| Keywords: | diskrétní události; Data Mining; prediktivní analytika; deskriptivní analytika; systémová dynamika; preskriptivní analytika; agentově orientované modelování; procesní management; analytické nástroje; znalostní management; Business Intelligence |
| Thesis title: | Knowledge layer in BI architecture of ERP system: principles and implementation |
|---|---|
| Author: | Stejskal, Pavel |
| Thesis type: | Diploma thesis |
| Supervisor: | Voráček, Jan |
| Opponents: | Černohorský, Petr |
| Thesis language: | Česky |
| Abstract: | The thesis is focused on extending standard ERP systems with Knowledge Management layer and its integration into existing Business Intelligence solution. The main goal is to explain possibilities of Knowledge Management tools and methods in contrast of traditional Business Intelligence analytical tools. Furthermore is designed concept of business strategy and implementation philosophy for provider of Knowledge layer. This concept is illustrated on model situation between manufacturer (customer) and Knowledge layer provider. Concept is involving standard phases such as Knowledge model prototype, model extending, model validation and its integration into customer's BI analytical layer. |
| Keywords: | Knowledge Management; Data Mining; Prescriptive Analytics; Agent Based Modeling; Discrete Event; Business Intelligence; Analytical tools; System Dynamics; Predictive Analytics; Descriptive Analytics; Process Management |
Information about study
| Study programme: | Ekonomika a management/Management |
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| Type of study programme: | Magisterský studijní program |
| Assigned degree: | Ing. |
| Institutions assigning academic degree: | Vysoká škola ekonomická v Praze |
| Faculty: | Faculty of Management |
| Department: | Department of Exact Methods |
Information on submission and defense
| Date of assignment: | 13. 3. 2012 |
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| Date of submission: | 27. 4. 2013 |
| Date of defense: | 13. 6. 2013 |
| Identifier in the InSIS system: | https://insis.vse.cz/zp/36863/podrobnosti |