Essays about: "Big Data and Business Intelligence Analytics"
Showing result 1 - 5 of 11 essays containing the words Big Data and Business Intelligence Analytics.
-
1. How initiatives towards transforming the Role of Controllers play out – A field study examining the changing role of controllers at Volvo Cars
University essay from Göteborgs universitet/Graduate SchoolAbstract : MSc in Accounting and Financial Management.... READ MORE
-
2. The Major Challenges in DDDM Implementation: A Single-Case Study : What are the Main Challenges for Business-to-Business MNCs to Implement a Data-Driven Decision-Making Strategy?
University essay from Jönköping University/IHH, Företagsekonomi; Jönköping University/IHH, Företagsekonomi; Jönköping University/IHH, FöretagsekonomiAbstract : Over the past years, the value of data and DDDM have increased significantly as technological advancements have made it possible to store and analyze large amounts of data at a reasonable cost. This has resulted in completely new business models that has disrupt whole industries. READ MORE
-
3. Ideation with Big Data : A case study of a large mature firm
University essay from KTH/Maskinkonstruktion (Inst.); KTH/Maskinkonstruktion (Inst.)Abstract : Big Data has in recent years gained much attention and interest from organizations. The rise of recent technologies has enabled data to be processed and stored in a simpler manner, thus asking organizations what value Big Data can bring to the organization. READ MORE
-
4. Hive, Spark, Presto for Interactive Queries on Big Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traditional relational database systems can not be efficiently used to analyze data with large volume and different formats, i.e. big data. Apache Hadoop is one of the first open-source tools that provides a distributed data storage system and resource manager. READ MORE
-
5. In God We Trust - All others Must Bring Data
University essay from Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategiAbstract : The goal of this study is to investigate the organisational and managerial gaps impeding the successful adoption and deployment of machine learning in many organisations. The aim is to narrow the research gap on why the adoption of machine learning is slow, and provide further insights on what actions organisations must take to encourage advancements. READ MORE
