Problematique: "How could the technology transform the financial reporting process of the firm?" Observation of Business Intelligence Data Warehouse in Mitsubishi Fuso Controlling Department.

HARDI WIJAYA, Lindsay Walker (Toulouse Business School)

2019 | Skripsi | S1 MANAJEMEN

Sebagai perusahaan multinasional dengan produk yang dapat ditemui di seluruh dunia, Kantor Pusat FUSO di Jepang berhadapan dengan jumlah data dan sumber data yang sangat banyak. Data berharga yang bisa memberikan informasi dan pemahaman kepada pembuat keputusan bisnis ini dikelelola dengan cara yang sangat konservatif melalui spreadsheet, yang kemudian dikirimkan melalui alamat surel. Mengolah data mentah di excel dapat memakan waktu berhari-hari, kadang berminggu-minggu, belum termasuk risiko akan kesalahan manusia dan angka yang tidak transparan. Untuk alas an ini, Business Intelligence Data Warehouse dikembangkan di FUSO pada tahun 2016. Projek dua tahun ini bertujuan untuk menyimpan dan mengotomasi data keuangan di sistem dan dapat diakses dengan mudah dan cepat. Laporan ini juga mempelajari dan mendiskusikan bagaimana kultur yang beragam di FUSO merespon perubahan teknologi dalam pekerjaan sehari-hari mereka. Ditemukan bahwa pemrosesan data menjadi sangat cepat dan mudah, hanya jika pemakai bertekat untuk memelajari proses baru, terutama pegawai yang lebih senior. Dalam bagian kemudan, laporan ini mempelajari data warehouse baru dalam keterkaitannya dengan Technology Acceptance Model, yang dikembangkan oleh Venkatesh dan Davis, melalui kacamata persepsi pemakai teknologi. Kesimpulannya, laporan ini menyarankan proses institusionalisasi yang lebih dalam terhadap teknologi baru ini di organisasi untuk meningkatkan pengalaman pemakai dan mempertahankan mereka agar tetap memakai teknologi.

As a multinational company having its product sold across the globe, Fuso's headquarter in Japan is dealing with a huge financial data pool and data sources. This precious data which provides important insights to the business decision making is managed manually in a very conservative way through spreadsheet, which then being transferred through emails. Processing raw data in excel took days, sometimes weeks, of workload; not to mention the risk of human error and intransparent numbers. For this reason, the Business Intelligence Data Warehouse was built at Fuso in 2016. The two-years-long project was aimed to store and automate all the financial data and sources (e.g. from SAP) properly. There are more than 20 data sources have been connected to the system and now could be easily accessed within seconds. This report also studies and discuss how the data warehouse could affect the financial reporting process, speeding up the efficiencies, and on how the diverse culture in FUSO respond to the technology change in their daily work. It is found that the data processing is becoming very fast and easy, only if the users are willing to learn the new process, particularly speaking about the more senior employees. In the later part, this report assesses the new data warehouse with the Technology Acceptance Model, developed by Venkatesh and Davis, through its users' perception toward the technology. In conclusion, the report suggests that further institutionalizing effort from the organization must be done in order to increase the user experience and therefore retain the usage.

Kata Kunci : fuso, daimler, business intelligence, data, data warehouse