Customer Domain – Customer Analytics

2021 ◽  
pp. 63-142
Keyword(s):  
Customer Analytics

Segmentierung der Kundenbasis

BWK ENERGIE. ◽  
2019 ◽  
Vol 71 (12) ◽  
pp. 6-9
Keyword(s):  
Customer Analytics

Bei Energieversorgungsunternehmen sind fundierte Kundenanalysen zur Umsetzung von Vertriebsmaßnahmen noch die Ausnahme. Entscheidungen werden oft nach einfachen Kriterien wie Erfahrungswerten, absoluten Umsatzzahlen oder ABC-Analysen gefällt. Den Stadtwerken Ansbach genügte das nicht. Durch die Nutzung von Customer Analytics der Münchner Conergos GmbH & Co. KG konnte der Versorger erstmals seinen Kundenstamm detailliert analysieren sowie Vertrieb und Produktentwicklung strategisch gezielt ausrichten.

How Customer Analytics and Digital Technologies Drive Banks to Understand Consumer Awareness Towards Financial Inclusion

2018 ◽  
pp. 66-85
Author(s):  
Yuvraj Sharma
Keyword(s):  
Financial Institutions ◽  
Financial Services ◽  
Digital Technologies ◽  
Financial Inclusion ◽  
Primary Data ◽  
Related Data ◽  
Customer Analytics ◽  
Clear Communication ◽  
Increasing Demand

In today's switching economy, customers' needs are changing and they are demanding more transparency, higher involvement, and clear communication in day-to-day banking processes. The rationale behind carrying out the present research is to identify the role of customer analytics in the new digital customer journey in terms of enhancing their engagement, loyalty, and satisfaction. The present research emphasizes opportunities that would accrue to financial institutions after demonetization and collecting large amount of demographics, customer transaction, and account-related data. Primary data was collected from 300 customers through a structured questionnaire to know their perceptions about the role of customer analytics and digital technologies to build their confidence and capability to use financial services. This study brings out the customer analytics trends and identifies the reasons due to which banks are struggling to keep pace with the increasing demand of both digital savvy and traditional consumers.

Revisiting customer analytics capability for data-driven retailing

2020 ◽  
Vol 56 ◽  
pp. 102187 ◽  
Author(s):  
Md Afnan Hossain ◽  
Shahriar Akter ◽  
Venkata Yanamandram
Keyword(s):  
Data Driven ◽  
Customer Analytics ◽  
Analytics Capability

A Tool for Intelligent Customer Analytics

2006 ◽  
Author(s):  
Detlef D Nauck ◽  
Dymitr Ruta ◽  
Martin Spott ◽  
Ben Azvine
Keyword(s):  
Customer Analytics

The Impact of Big Data Analytics and Challenges to Cyber Security

2018 ◽  
pp. 300-314 ◽  
Author(s):  
Anandakumar Haldorai ◽  
Arulmurugan Ramu
Keyword(s):  
Big Data ◽  
Cyber Security ◽  
Distribution Systems ◽  
New Technologies ◽  
Big Data Analytics ◽  
Big Data Technologies ◽  
Customer Analytics ◽  
External Sources ◽  
Business Optimization ◽  
The Impact

In order to scrutinize or evaluate an extremely high quantity of an ever-present and diversified nature of data, new technologies are developed. With the application of these technologies, called big data technologies, to the constantly developing various internal as well as external sources of data, concealed correlations between data can be identified, and promising strategies can be developed, which is necessary for economic growth and new innovations. This chapter deals with the analysis of the real-time uses of big data to both individual persons and the society too, while concentrating on seven important areas of key usage: big data for business optimization and customer analytics, big data and healthcare, big data and science, big data and finance, big data as enablers of openness and efficiency in government, big data and the emerging energy distribution systems, and big data security.

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