När konkurrensen mellan produktutvecklingsföretag växer, blir det allt viktigare att öka ansträngningen för att erhålla bättre kundinsikt (CI). Kundinsikt är essentiellt för att försäkra att företagets produkter utvecklas i linje med kundens behov och samtidigt minimera risken för att utveckla egenskaper hos produkten som saknar värde för kunden. Trots att kundinsikt är en grundläggande del i produktutveckling så har företag ofta svårt att implementera ett effektivt sätt att samla information ifrån kunden och öka sin kundinsikt. Syftet med detta arbete har därför varit att sammanställa och analysera befintliga metoder och verktyg som används i kundinsiktsprocesser samt att sammanställa rekommendationer kring vad som bör tas hänsyn till vid design av en kundinsikts process. Vidare ämnar studien att designa samt applicera en CI process på vindkraftsindustrin, med inriktning mot turbinbladsinspektion (WTBI), för att dels testa rekommendationerna samt att leverera kundinsikt till Case-företaget FLIR Systems. Metoden för detta masterarbete består dels av en fallstudie åt FLIR Systems i Täby vilket innefattar intervjuer med anställda och en fördjupad litteraturstudie. Detta denoteras i rapporten som steg ett. Baserat på rekommendationerna ifrån steg ett så designas och appliceras en CI process på WTBI industrin vilket utgör steg 2. Studien resulterade i att ett antal barriärer relaterade till företagets CI process identifierades. Vidare presenterades rekommendationer gällande vad som bör tas hänsyn till vid skapandet av en kundinsiktsprocess för att bemästra de identifierade barriärerna. Initialt rekommenderas tydliga mål och avgränsningar kring ett företags CI projekt. Vidare rekommenderas ett ramverk för att skapa kundvärdekedjor vilket möjliggöra ett strukturerat sätt prioritera kunder. För att underlätta valet av lämpliga kundinsiktsverktyg för olika projekt utvecklades också vad som i studien har denoteras som en "Design guide". Det kan ses som ett ramverk ämnat för att ge en överblick av vilka verktyg som finns samt dess olika styrkor och svagheter. Vidare resulterade den praktiska kundinsiktsprocessen som applicerades på WTBI industrin dels i värdefull kundinsikt för det givna segmentet. Resultaten tyder också på att sociala nätverk, så som LinkedIn, med fördel kan användas som verktyg i CI processen för att överkomma ett flertal barriärer. / As the competition is getting tougher it becomes important for product development companies to increase their efforts of collecting customer insight (CI). This is essential to ensure that products are developed in coherence with the customer’s needs in order to decrease the risk of developing products that does not add value to the customer. However, despite customer insight being crucial for product development, companies appear to struggle with implementing a suitable way to collect customer insight. The purpose of this master thesis has been to compile and analyse existing methods and tools used in the CI process in order to provide recommendations on what to consider when designing such a process. Further, the study aims to design and apply a CI process, targeting the wind turbine blade inspection (WTBI) industry, both in order to test the recommendations as well as deliver customer insight requested by the case company FLIR Systems. The methodology of this master thesis was partly the case study at FLIR, consisting of interviews with the employees and an extensive literature review. This has been denoted as stage one. Based on the recommendations derived from stage one, a CI process was designed and applied targeting the WTBI industry, denoted staged two. The result was a set of identified barriers related to the company’s CI process. Further, recommendations of what to consider when designing the CI process was derived, aiming to help the company overcome the barriers. It was proposed that the company needed to clearly state the scope for their CI projects. Also, it was recommended to adopt the customer value chain framework in order to gain a more structured approach when assessing which customers to target. Further, what have been denoted as the design guide was provided to the company in order to encourage an active evaluation of which tools to include in their CI process. An additional outcome from the test was that the use of a social network channel, such as LinkedIn, seems to reduce several of the barriers. In terms of customer insight for the WTBI industry, the study managed to derive valuable information for the case company which was perceived as useful for further research

With the change in behaviour from the customers’ side, due to the increased use of digital environments, marketers have seen a value in customer related data. In order to fully benefit from the data, many marketing efforts have been brought back in to the own organisation. This study aims to further explain how the marketing department have been affected by the changing in-house trend and give practical suggestions on how to cope with the challenges. Previous research in the area has been reviewed and a summary has been conducted. The data collection consisted of semi-structured interviews with marketers from various industries. Respondents with insightful information in the modern marketing department was interviewed and the findings later analysed. The analysis was conducted with support of categories established from the findings in the literature review. The study resulted in a confirmation of the in-house trend in modern marketing departments and the challenges facing them. The findings of the study have contributed to previous literature by confirming and adding insights in a field where most research is made by trade organisations. An independent academic study in the field could be seen as an important addition to the existing literature in the area. For marketers in the area, a greater understanding of the problem will help make the marketing efforts more effective. Key findings include the importance in understanding the customer and what is required in order to make best use of the in-house marketing department.

Purpose: The purpose of this paper is to create an understanding of how customer engagement, communication / interaction and customer insight are driving forces behind the use of Social CRM from a leadership perspective. Method: The purpose of the study, we believed it was appropriate to use a qualitative approach to conduct the study. The empirical data were collected through semi-structured interviews. The sample consisted of 10 companies located in the Gävle area who are active on social media. The interviews were coded to obtain keywords and patterns. These patterns and keywords are then analyzed to arrive at the study's results. Results and contributions: Our results suggest that all the identified benefits, customer engagement, customer insight and communication are driving forces to make use of social CRM. However, they are used to different extents with different purposes. The two main drivers are customer engagement and communication. Customer insight is the driving force that is used least extensively and least consciously. Our investigation has confirmed much of the already existing research in this area but also highlighted that all driving forces do not have the same priority. Our study contributes to a better understanding of the driving forces behind the use of social CRM.

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在現在競爭激烈的企業環境中，企業從過往以製造與低成本為競爭優勢的供應鏈管理，逐漸轉型為以顧客需求為核心之需求鏈管理，強調企業發展之策略重點需能符合顧客需求的趨勢。顧客心聲，是了解顧客需求的重要資訊。 企業客戶服務中心，能夠協助企業將顧客心聲中粹取出重要的顧客意見回饋，透過資訊轉化，傳達至企業內部功能單位，成為企業內部決策與管理改善之重要依據，讓顧客意見能夠參與企業的決策過程。本研究主要探討之內容為企業客戶服務中心之四大營運模式，包含「客戶服務中心」、「客戶關懷中心」、「行銷媒體回應中心」與「電話行銷中心」，分別收集的顧客心聲影響企業八大價值活動的深度與強度；企業八大價值活動包含「品牌認同」、「產品研發」、「製程與品管」、「行銷活動」、「通路管理」、「服務流程」、「營業收入」與「顧客經驗」。 本研究透過實務界三個研究個案的實證分析與歸納，有以下之研究發現： 一、 透過客服中心的四種營運模式，企業具體蒐集顧客心聲，轉化為對顧客需求之了解，進而針對消費者需求提供適合的產品或服務。 二、 透過客服中心所收集顧客心聲(Voice of Customer)，經過內部資訊傳遞，可驅動企業主要八大價值活動「品牌認同」、「產品研發」、「製程與品管」、「行銷活動」、「通路管理」、「服務流程」、「營業收入」、「顧客經驗」。 三、 本研究推論當企業可採取不同的客服中心營運模式以協助企業達到不同的策略目標。 本研究之結論如下： 一、 企業客服中心，可以收集重要顧客資訊，並透過跨部門之資訊交流與管理，轉化為重要策略之參考依據，影響企業需求鏈管理的八大價值活動。 二、 企業客服中心可以協助企業驅動需求鏈管理之「了解顧客需求」(Understand Demand)、「管理顧客需求」(Manage Demand)與「創造顧客需求」(Create Demand)。 / In the more and more eager competition business environment, enterprises’s competences are transformed from supply-chain management to demand chain management. Customer-oriented is an important policy and reference for enterprises to determine development strategy. Customer contact center could collect most customer data and information which could facilitate company extract important customer insight and opinions from them. There are four operation models of customer service center, which includes”Customer service center”、”Customer care center ”、”Marketing response center”、”Telemarketing Center”. The objective of the research is want to find out how the customer insight collected from these four operation center interactive the eight major company value activities. The research is analyzed and investigated through 3 real cases, and we have the research finding as following, I. Through four models of customer contact center, enterprises could collect customer insight and transform them into the understanding of customer demand and modify the business strategy accordingly. II. The voice of customer collected from customer contact center could facilitate the eight major company value activities. III. The finding of the research inferred that the four models of customer contact center could help enterprises achieve different strategic objectives accordingly. Key word：Call Center、Demand Chain Management、Customer Insight、Customer Service

Customer insight is at the heart of the big data era. This revolution makesit possible to directly obtain high potential data and in large quantitiesabout customers. Thus we take note that, more than ever, a large volumeof big data is collected by companies.We observe that big data have become a necessary tool within marketing.More and more companies orient their decisions according to theinformations provided by data, with the aim of quickly having betterresults.Nevertheless, in order to integrate these big data in a better way and gaina competitive advantage, companies must face new challenges. Tomeasure and understand the impact of big data in marketing decisions,we propose, with the support of our scientific and theoretical resources, areasoning, demonstrating all the issues. Big data is increasinglyubiquitous and necessary for companies (I). Their impact in decisionsneeds to be taken into account (II) and their use is leading to amanagement revolution (III). Moreover, it modifies the close relationbetween decision and intuition. (IV). In this article, we present aperspective that study all these concepts. We close by offering a modeland a conclusion answering our problematic.

Companies are always trying to increase their sales and revenue, but nowadays due to technology advancement, competence and the fast moving economy this task becomes more difficult as time goes by. This is where innovation walks in, to find new ways to add value to customers, increasing profit and even find new potential markets. As part of implementing innovative practices, many companies have added corporate entrepreneurship to their structure, to look for new business models that reach diverse customers within the same industry. Getting in the mind of customers, trying to decipher unspoken needs and matching problems to new solutions is part of the insighting process that has to be done when attempting idea incubation. This research seeks to provide a methodology to make the insighting process for early idea validation, in a corporate environment, less manual and more mechanical. For this purpose the Stockholm division of Telia Company was used as study case and main source of data recollection, which brings the research results to a practical use and analysis.