This paper summarizes current corporate policy activities through Corporate Social Responsibility (CSR). In this context, the use of Big Data & Analytics (BD&A) will be discussed. The main purpose of the research is the pursuit of CSR, as the topic has been enormously advanced for companies in recent years. And there are many reasons for this. The consumption of the environment, the deposition of residues into air, ground and water by companies and also the labor conditions within the work environment is on outmost interest of the society. Companies try to avoid respectively reduce the negative impact that comes along with their value creation processes due to their competitive situation, public pressure, marketing reasons or because they are forced by legal requirements and regulations. Those improvements are often publicized in CSR/sustainability reports. Many companies set themselves CSR targets that refer to a particular baseline. With doing so the companies can find the right areas for improvement, measure their progress, apply different methodologies and create measures to further enhance their situation. Some of those measures are driven by digitalization and with the progress that is made within this area of research new opportunities to reduce the negative impact arise. The potential that lies within digitalization to improve CSR indicators is widely underestimated. To emphasize the impact that digitalization can have on the value creation process, a very specific methodology from the field of digitalization, the analysis of big data, was chosen exemplarily for this analysis. The systematization of research and approaches to solving the problem will show that Big Data & Analytics is underemployed in the area of Corporate Social Responsibility. The research results summarized in the paper confirm and prove that companies need not be primarily interested in CSR. Economic interests usually go hand in hand with this. To make Big Data & Analytics a contributor to Corporate Social Responsibility investments are necessary. The potential of Big Data & Analytics that is elaborated in this article can help to justify the investments into this field of application. The paper is processed in the following logical order: After an introductory section, Big Data & Analytics will present its contribution to Corporate Social Responsibility. After establishing a hypothesis, the analysis part comes in the form of a field application. In the further course, the influence of CSR on the Internet of Things (IoT) will be dealt with in a business case. The article will give an insight into the sustainability reports of the companies BMW, Deutsche Telekom and the Linde Group. The topics CSR and BD&A in the automotive industry will be investigated, as well. The expected savings in energy consumption by BD&DA are discussed here. The paper is concluded with a critical appraisal. Keywords: big data & analytics, corporate social responsibility (csr), data analytics, energy consumption, investment decision, sustainability.

The performance of the banking sector depends on the ability of a range of banking products to meet customer needs in a timely and complete manner. Due to the specific features of the banking sector, technological capabilities to accumulate a massive pool of customer information about banking services, the German banking sector has more capacity than other industries to launch and sell banking services that will be in high demand among users. The author points out that innovative methods and solutions were developed on the basis of mathematical and statistical models. It is stated that a progressive tool for providing customer-oriented services and products, in the banking sector, is currently defined as “Big Data & Analytics”. The main purpose of the study is to identify the peculiarities of the use in the banking practice of the analytical tool “Big Data & Analytics” and the functional ability of this tool to ensure stable customer loyalty in the course of using banking services. The study empirically confirmed (based on a survey conducted in the fall of 2019) and theoretically proved that there is a strong relationship between the use of the Big Data & Analytics tool and the provision of key principles of customer loyalty in the following areas of the banking sector: advice to clients by banking employees systems must be objective and comprehensive, be individualized and be provided in a timely and comprehensive manner. Emphasis is placed on the need for further research on the effectiveness of internal and external business coaching, which is particularly relevant in the context of a total digital transformation of all spheres of society and entrepreneurship. Keywords: big data and analytics, corporate social responsibility, customer loyalty tool, business ethics.

Digitalization is changing processes in the German banking market. This fact means significant challenges for companies. Many German banks could miss the connection in the age of digital transformation. According to a study, the management consultancy McKinsey even expects the return on equity to decline. And if the change that digitalization offers, is not properly implemented. According to the study, German banks are forced to digitalize processes due to low yields, as new players in the market (Fintechs) could shed up to 40 percent of their sales and up to percent of profits. The situation of how to deal with Digitalization correctly is much discussed. Organizationally, a lot was promoted under management aspects, and the industry is talking about the necessity of installing a so called Chief Digital Officer (CDO) next to the Chief Information Officer (CIO) / Head of IT. Is this a valuable solution?

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The German banking industry is facing major challenges due to digitalization. The digital transformation is significantly influenced by technological progress, tighter regulation and low-interest phases. The market entry of fintechs and changing customer behaviour is also a reality. To meet the challenge of the digitalization and to to reduce costs, savings banks are increasingly turning to mergers, staff cuts and branch closures. The purpose of this research is to investigate the impact of digitalization on German savings banks. Through an explorative literature review, scientific sources and real KPIs of savings banks in Germany were used. The impact of digitalization on savings banks in the period 1999 – 2018 was investigated using the study situation and the analysis of key business figures. The aim is to answer whether the cost-cutting actions of savings banks are justified from an economic point of view based on the KPIs operating result, cost-income ratio and return on equity. In recent years, it has become clear that German banks lack a clear strategy. The results may be of interest to researchers dealing with the digital transformation of savings banks in Germany.