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“Jag tror att man som företag säger sig vara ganska datadriven i sina beslut” : En kvalitativ studie om Business intelligence och datadrivenhet i ett svenskt konsultföretag / “I believe that as a company you say you are quite data-driven in your decisions" : A qualitative study about Business Intelligence and data-driveness at a consulting companyJohansson, Antonia, Lindgren, Filip January 2020 (has links)
In an increasingly digital world, companies need to be at the forefront of development in order to gain market share and be competitive. Therefore this qualitative case study intends to investigate how Business intelligence should be implemented to increase the technology acceptance among the employees. Furthermore, it is investigated how data-driven a consulting company in Sweden is. An important factor when Business intelligence is about to be implemented and applied are the employees and the company culture. It is important to normalize the collection of data, in order to create a data culture where high quality data is collected. What is more, Business intelligence is strongly dependent on the data collected maintaining a high data quality, in order to be able to create relevant reports and thereby be able to support various decision-making. When implementing a new platform, many employees are affected. This means that the platform can generate both positive and negative reactions. / I en allt mer digitaliserad värld krävs det att företag ligger långt fram i utvecklingen för att kunna ta marknadsandelar och vara konkurrenskraftiga. Därmed ämnar denna kvalitativa fallstudie att undersöka hur Business intelligence kan implementeras för att öka acceptansen för IT-stöd hos de anställda, samt hur datadrivet ett svenskt konsultföretag är. En viktig faktor när Business intelligence ska implementeras och appliceras är de anställda och den kultur som företaget har. Det är viktigt att normalisera insamlandet av data, för att i förlängningen skapa en datakultur där data med hög kvalité samlas in. Vidare är Business intelligence starkt beroende av att den data som samlas in håller en hög datakvalité, för att kunna skapa relevanta rapporter och därigenom kunna ge förslag inför olika beslutsfattande. Vid en implementering av en ny plattform, är det många anställda som berörs. Det betyder att plattformen kan generera såväl positiva som negativa reaktioner.
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現代零售通路CRM計畫之診斷性架構: 策略4C模型與分析成熟模型之應用 / A diagnostic framework for CRM program in the modern trade retail sector: The applications of the strategic 4C model and analytical maturity model劉建宏, Liu, Chien Hung (Claude) Unknown Date (has links)
本論文研究目的有三: (1) 釐清一般在忠誠度計劃定義上常見的錯誤觀念,進而探索CRM與忠誠度計劃之間的關係,並且發展一套實務上可用的忠誠度計劃分類方法; (2) 研究零售業CRM計劃中現行的戰術手法,並提供策略性建議給業者該如何校準戰術手法的重心並且相應地配置資源; (3) 發展一套可供現代零售業者自我診斷其CRM計劃在分析成熟性以及策略行銷重心的實務架構。
為達到研究目的,本研究首先探討在零售業,顧客關係管理(CRM),忠誠度計劃以及分類方法上的相關文獻以釐清忠誠度計劃定義上常見的錯誤觀念,進而說明CRM與忠誠度計劃之間的關係,最後發展一套實務上可用的忠誠度計劃分類方法。
其次,本研究先應用邱志聖博士(2010)的策略4C模型,分析現行零售CRM計劃的戰術手法,並且提供策略性建議給業者該如何校準戰術手法的重心並且相應地配置資源。
再次,本研究應用邱志聖博士(2010)的策略4C模型以及戴文波特博士與哈里斯女士(2007)的分析成熟模型於建構零售CRM計劃的兩階段診斷性架構。 後續深入的分析主要根據此架構而進行,同時根據零售業所處不同的分析成熟階段提出策略性建議。
對於零售業的高階主管,本研究的貢獻在於提出一套實務可行的診斷性架構,供主管重新檢視其CRM計劃在策略上的重心,並且能隨著公司規模成長,進而調整重心的優先順序。
對於CRM以及忠誠度計劃的從事者,本研究貢獻則在於零售CRM計劃,忠誠度計劃以及相關概念上的定義的建立正確觀念。
最後,本論文的研究發現亦可當作對CRM以及忠誠度行銷人員的策略性建議,尤其當在設計戰術手法之時,能針對公司所處不同的分析成熟階段,對焦CRM策略以及相應資源配置。 / The purpose of this thesis has three objectives: (1) clarify some common misunderstandings about definitions of loyalty scheme, explore the relationship between CRM and loyalty scheme, and develop a typology of loyalty scheme for practical use; (2) study on current tactics used within retail CRM programs and provide strategic advices on how to fine-tune the tactics focus and align resource accordingly; and (3) develop a practical framework that allows modern trade retailers for self-diagnosing their CRM programs in terms of analytical maturity and strategic marketing focus.
To achieve the research goals, this research has firstly reviewed previous research on retail, CRM, loyalty schemes and its typology, and thus misunderstandings about definition of loyalty scheme, CRM, the relationship between CRM and loyalty scheme have explained and consequently a new typology of loyalty scheme has been developed.
Second, strategic 4C model (Chiou 2010) is used in this research to analyze current tactics used within retail CRM programs and the strategic advices are generated on how to fine-tune the tactics focus and align resource accordingly.
Third, this research adopted literature of strategic 4C model (Chiou 2010) and analytical maturity model (Davenport and Harris 2007) to form a two-stage diagnostic framework for retail CRM program. The further analysis is conducted based on this framework while strategic advices are provided to retailers of different analytical stage.
The benefits for business executives in retail include a diagnostic framework allowing for strategically reviewing their CRM program focus and priority as retailers grows their business.
The benefits for CRM and loyalty practitioners include building correct understandings about retail CRM program, loyalty scheme and related conceptual definitions.
The findings in this study may serve as strategic advices to CRM or loyalty marketers to better align resources, when they design tactics, to companies’ CRM strategy at different analytical stage.
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