Performance Analysis Based on Business Analytics and Enterprise Business Intelligence Reporting Systems

Aysun Sağbaş; Elanur Isık

Makale detayları

Performance Analysis Based on Business Analytics and Enterprise Business Intelligence Reporting Systems

Yazarlar:

Aysun Sağbaş | Elanur Isık

Yayıncı:

Tekirdag Namik Kemal University

Ana Başlıklar:

İş Süreçleri Yönetimi

Dergi:

European Journal of Engineering and Applied Sciences Vol.7 Issue 2, pp.54-60

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001331267

pISSN:

2651-3412

Anahtar kelimeler:

Özet:

 In order for accurate and effective decisions to be made in all types of organizations, particularly in manufacturing and service businesses, the implementation of performance measurement systems, optimization of activities and analysis of existing data to make future-oriented insights are of great importance. Processing, visualizing and creating dashboards for data, not only play a significant role in analyzing the current state of the company for management but also are crucial for setting objectives, making strategic decisions and managing efficient processes. In recent years, business intelligence tools and technologies have been commonly utilized in transforming data, displaying key metrics and presenting key performance indicators for organizations to evaluate. Business intelligence facilitate the creation of long-term strategic plans and enable reporting to be obtained more quickly and based on healthier data. In this study, within a telecommunications business, as part of a new product design process, the integration of a weekly report into a dashboard was carried out to evaluate the performance of the quality assurance team, optimize business processes and enhance operational efficiency. For this purpose, data was processed using the DAX programming language and Power Query in the business intelligence portal, leading to the establishment of decision support processes. As a result, the visualization of existing data for easier and faster readability, reduction in workload, real-time acquisition of data and digitization of the reporting process through real-time monitoring have been aimed for.

 In order for accurate and effective decisions to be made in all types of organizations, particularly in manufacturing and service businesses, the implementation of performance measurement systems, optimization of activities and analysis of existing data to make future-oriented insights are of great importance. Processing, visualizing and creating dashboards for data, not only play a significant role in analyzing the current state of the company for management but also are crucial for setting objectives, making strategic decisions and managing efficient processes. In recent years, business intelligence tools and technologies have been commonly utilized in transforming data, displaying key metrics and presenting key performance indicators for organizations to evaluate. Business intelligence facilitate the creation of long-term strategic plans and enable reporting to be obtained more quickly and based on healthier data. In this study, within a telecommunications business, as part of a new product design process, the integration of a weekly report into a dashboard was carried out to evaluate the performance of the quality assurance team, optimize business processes and enhance operational efficiency. For this purpose, data was processed using the DAX programming language and Power Query in the business intelligence portal, leading to the establishment of decision support processes. As a result, the visualization of existing data for easier and faster readability, reduction in workload, real-time acquisition of data and digitization of the reporting process through real-time monitoring have been aimed for.

 In order for accurate and effective decisions to be made in all types of organizations, particularly in manufacturing and service businesses, the implementation of performance measurement systems, optimization of activities and analysis of existing data to make future-oriented insights are of great importance. Processing, visualizing and creating dashboards for data, not only play a significant role in analyzing the current state of the company for management but also are crucial for setting objectives, making strategic decisions and managing efficient processes. In recent years, business intelligence tools and technologies have been commonly utilized in transforming data, displaying key metrics and presenting key performance indicators for organizations to evaluate. Business intelligence facilitate the creation of long-term strategic plans and enable reporting to be obtained more quickly and based on healthier data. In this study, within a telecommunications business, as part of a new product design process, the integration of a weekly report into a dashboard was carried out to evaluate the performance of the quality assurance team, optimize business processes and enhance operational efficiency. For this purpose, data was processed using the DAX programming language and Power Query in the business intelligence portal, leading to the establishment of decision support processes. As a result, the visualization of existing data for easier and faster readability, reduction in workload, real-time acquisition of data and digitization of the reporting process through real-time monitoring have been aimed for.

 Üretim ve hizmet işletmeleri başta olmak üzere; tüm kurum ve kuruluşlarda doğru ve etkin kararların alınabilmesi için; performans ölçüm sistemleri, faaliyetlerin optimizasyonu ve mevcut verilerin analiz edilerek geleceğe yönelik çıkarımlar yapılması büyük önem taşımaktadır. Verilerin işlenmesi, görselleştirilmesi ve gösterge panellerinin oluşturulması, şirket yönetimi için mevcut durumun analiz edilmesinde önemli olduğu kadar, hedeflerin belirlenmesi, stratejik kararların alınması ve verimli bir süreç yönetimi için de oldukça kritiktir. Son yıllarda, verilerin dönüştürülmesinde, anahtar verilerin görüntülenmesinde, kuruluşların değerlendirilmesi ve anahtar performans göstergelerinin sunulmasında iş zekâsı araçları ve teknolojileri yoğun olarak kullanılmaktadır. İş zekası, uzun vadeli stratejik planların oluşturulmasını, raporlamaların daha kısa sürede, verilere dayanılarak elde edilmesini sağlamaktadır. Bu çalışmada, telekomünikasyon alanında hizmet veren bir işletmede, yeni bir ürün tasarımı sürecinde kalite güvence ekibinin performansını değerlendirmek, iş süreçlerini optimize etmek ve operasyonel verimliliği artırmak için, haftalık olarak oluşturulan raporların, gösterge paneline entegre edilmesi gerçekleştirilmiştir. Bu amaçla, veriler iş zekâsı portalında DAX programlama dili ve Power Query ile işlenerek, karar destek süreçleri oluşturulmuştur. Sonuçta, mevcut verilerin görselleştirilerek daha kolay ve hızlı okunması, iş yükünde azalma, verinin anlık olarak gerçek zamanlı alınması ve raporlama sürecinin anlık takip edilerek dijitalleşmesi hedeflenmiştir.

Makale detayları

Performance Analysis Based on Business Analytics and Enterprise Business Intelligence Reporting Systems

Yazarlar:

Aysun Sağbaş | Elanur Isık

Yayıncı:

Tekirdag Namik Kemal University

Ana Başlıklar:

İş Süreçleri Yönetimi

Dergi:

European Journal of Engineering and Applied Sciences Vol.7 Issue 2, pp.54-60

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001331267

pISSN:

2651-3412

Business Analytics

Business Intelligence

Reporting

Performance Analysisİş Analitiği

İş Zekası

Raporlama

Performans Analizi

Sayı

Makale detayları

Yazarlar: Aysun Sağbaş | Elanur Isık

Yayıncı: Tekirdag Namik Kemal University

Ana Başlıklar: İş Süreçleri Yönetimi

Dergi: European Journal of Engineering and Applied Sciences Vol.7 Issue 2, pp.54-60

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001331267

pISSN: 2651-3412

Sayı

Yazarlar:

Aysun Sağbaş | Elanur Isık

Yayıncı:

Tekirdag Namik Kemal University

Ana Başlıklar:

İş Süreçleri Yönetimi

Dergi:

European Journal of Engineering and Applied Sciences Vol.7 Issue 2, pp.54-60

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001331267

pISSN:

2651-3412