Processes, Potential Benefits, and Limitations of Big Data Analytics: A Case Analysis of 311 Data from City of Miami

2019 ◽  
Author(s):  
Loni Hagen ◽  
Hye Seon Yi ◽  
Siana Pietri ◽  
Thomas E. Keller
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Case Analysis ◽  
Potential Benefits

scholarly journals BIG DATA ANALYTICS IN BANKING AND FINANCIAL SERVICES SECTOR

2020 ◽  
pp. 92-96
Author(s):  
Dr.P.V. Mohini ◽  
Mr. Rohit Kumar Srivastav
Keyword(s):  
Big Data ◽  
Financial Services ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Big Data Analysis ◽  
Valuable Data ◽  
Services Sector ◽  
Financial Services Sector ◽  
The People ◽  
Potential Benefits

‘He who holds the wealth of information, holds the solution to the toughest of the situations’ this quote is very much apt for the recent ongoing scenario, where there is an invisible struggle going on among the organizations as well as nations in the search for more and more information. Now, when the Banking and Financial services sectors are put under the scanner, it becomes evident that they are sitting on top of a humungous heap of valuable data. This data can be used for the betterment and advancement of the industry as well as the people. While it is good to have large amount of data available, it will be termed a big pile of trash if it is not analyzed properly and the results obtained from it are not put to use. With the adoption of Big Data analytics into the banking and financial services, many obvious as well as concealed problems can be addressed to and even solved quickly. The main objective of this paper is to highlight the meaning of Big Data analysis, study the types of data analytics with respect to Banking and Financial services sector and to showcase the potential benefits of embracing Big Data analytics into the Banking & Financial services sector. KEYWORDS: Information, Banking and Financial services, Advancement, Big Data, Data Analytics

Opportunities and challenges for big data analytics in US higher education

2018 ◽  
Vol 32 (3) ◽  
pp. 169-182 ◽  
Author(s):  
Mohsen Attaran ◽  
John Stark ◽  
Derek Stotler
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Successful Implementation ◽  
Implementation Challenges ◽  
Usable Information ◽  
The World ◽  
Potential Benefits ◽  
Rich Data

Business leaders around the world are using emerging technologies to capitalize on data, to create business value and to compete effectively in a digitally driven world. They rely on data analytics to accelerate time to insight and to gain a better understanding of their customers’ needs and wants. However, big data and data analytics solutions in higher education are new topics. There has been limited progress in accumulating the extremely rich data that flow through higher education systems for the purpose of acquiring usable information for students, instructors, administrators and the public. The key objective of this article is to propose a conceptual model for the successful implementation of analytics in higher education. The article also examines some of the potential benefits of big data and analytics as applied to the world of higher education and explores implementation challenges that can be expected. Furthermore, the study reviews key attributes of successful analytics platforms and illustrates some of the routes that might be taken to implement these technologies in education. Finally, it highlights the successful implementation of analytics solutions in several universities.

scholarly journals POTENTIAL BENEFITS AND BUSINESS VALUE OF BIG DATA ANALYTICS

2018 ◽  
Vol 15 (2) ◽  
pp. 106-114
Author(s):  
Dewi Sri Woelandari P.G
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Business Value ◽  
Potential Benefits

Perkembangan teknologi informasi semakin memudahkan organisasi bisnis untuk dapat mengakses teknologi informasi secara cepat dan real time, sehingga organisasi bisnis dapat melakukan feedback atau respon yang lebih cepat mencari solusi terhadap keluhan pelanggan. Hal ini dapat dilakukan dengan menggunakan big data analytics (BDA). Big data merupakan sebuah kombinasi teknologi yang dapat mengelola data yang beragam dalam jumlah besar dengan kecepatan yang tepat dan pada saat yang tepat untuk keperluan analisis dan reaksi. Tujuan dari penelitian ini adalah menggali lebih jauh potensi manfaat dan nilai bisnis dari big data analytics (BDA) dalam organisasi bisnis dengan berbasis pada kajian literatur. Hasil kajian literatur dari studi ini merupakan kerangka konseptual (kontribusi teoritis) yang akan dikembangkan untuk penelitian lebih lanjut.

Big Data Analytics: The Next Big Thing

2019 ◽  
Vol 54 (5) ◽  
pp. 20
Author(s):  
Dheeraj Kumar Pradhan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Strategy in Discovery Mode - Wie Big Data & Analytics strategisches Denken verdrängen kann

2020 ◽  
Vol 49 (5) ◽  
pp. 11-17
Author(s):  
Thomas Wrona ◽  
Pauline Reinecke
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Big Data & Analytics (BDA) ist zu einer kaum hinterfragten Institution für Effizienz und Wettbewerbsvorteil von Unternehmen geworden. Zu viele prominente Beispiele, wie der Erfolg von Google oder Amazon, scheinen die Bedeutung zu bestätigen, die Daten und Algorithmen zur Erlangung von langfristigen Wettbewerbsvorteilen zukommt. Sowohl die Praxis als auch die Wissenschaft scheinen geradezu euphorisch auf den „Datenzug“ aufzuspringen. Wenn Risiken thematisiert werden, dann handelt es sich meist um ethische Fragen. Dabei wird häufig übersehen, dass die diskutierten Vorteile sich primär aus einer operativen Effizienzperspektive ergeben. Strategische Wirkungen werden allenfalls in Bezug auf Geschäftsmodellinnovationen diskutiert, deren tatsächlicher Innovationsgrad noch zu beurteilen ist. Im Folgenden soll gezeigt werden, dass durch BDA zwar Wettbewerbsvorteile erzeugt werden können, dass aber hiermit auch große strategische Risiken verbunden sind, die derzeit kaum beachtet werden.

A Review on Big Data Analytics Tools in Context with Scalability

2019 ◽  
Vol 7 (2) ◽  
pp. 273-277
Author(s):  
Ajay Kumar Bharti ◽  
Neha Verma ◽  
Deepak Kumar Verma
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Big Data Analytics Solutions and Challenges

2017 ◽  
Vol 49 (004) ◽  
pp. 825--830
Author(s):  
A. AHMED ◽  
R.U. AMIN ◽  
M. R. ANJUM ◽  
I. ULLAH ◽  
I. S. BAJWA
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics
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