scholarly journals Tool to Integrate Optimized Hardware and Extensive Software into Its Database to Endure Big Data Challenges

2019 ◽  
pp. 272-279
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Big Data ◽  
Federal Government ◽  
Data Analytics ◽  
Research Study ◽  
Service Performance ◽  
Raw Material ◽  
Discussion Paper ◽  
Data Movement ◽  
Multidisciplinary Study ◽  
Job Experiences

Data is regarded a powerful raw material that can affect multidisciplinary study undertakings in addition to federal government as well as service performance. The goal of this discussion paper is to share the data analytics viewpoints as well as viewpoints of the writers connecting to the new opportunities and also challenges brought forth by the big data movement. The writers bring together varied viewpoints, originating from different geographical places with various core research study knowledge and also different associations and job experiences. This paper supplies a tool to integrate maximized equipment as well as extensive software right into its database to sustain big data difficulties.

Climate of Data-driven Innovation Within E-business Retail Actors

2019 ◽  
Vol 8 (2) ◽  
pp. 79-87 ◽  
Author(s):  
Malin Sundström
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Research Study ◽  
Data Driven ◽  
Hard Time ◽  
Team Spirit ◽  
Mind Set ◽  
The Mind ◽  
Contemporary Practice

Even though contemporary practice within e-business retailing demonstrates knowledge on how to collect and process big data, e-businesses have a hard time with the organizational mind-set to focus on data-driven innovation. In this perspective paper the author analyses an action-research study from a Swedish e-business retail actor, and explores how to change the mind-set to focus on data-driven innovation, and identifies the results from such a change. With a rich empirical data, the author demystifies the rather complex view of data-driven innovation within e-business firms, and describes how data analytics helped improve new processes and stimulated a data-driven decision making climate. The study shows climate can be changed if deploying socio-technical resources, but also creativity and team spirit.

scholarly journals Use of Big-Data Analytics with the Interactive Advertisement for Product/Service Representation towards its Customers

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
HarshmitKaur Saluja ◽  
Vinod Kumar Yadav ◽  
K.M. Mohapatra
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Service Performance ◽  
Data Sets ◽  
Complex Data ◽  
Product Service ◽  
Literature Reviews ◽  
Complex Data Sets ◽  
The One

On the one hand, big-data analytics has brought revolution in the predictive modeler by enabling the complex data sets getting structured. On the other hand, the interactive advertisement has changed the complete scenario of the advertising sector by making advertisements content structured in such a way that it is customer-centric. The paper helps to widen the view to explore the growing urge of customization technique in advertising sector with interactive enablers. The paper further examines that how interactive advertisement and big-data has helped to represent product/service from the view of a customer and also improved the product/service performance. In order of study, exhaustive literature reviews resulting in three hypothesis are developed to take on the above-mentioned concerns.

scholarly journals An Accounting Information Systems Perspective On Data Analytics And Big Data During 2015-2020

2021 ◽  
Vol 12 (5) ◽  
pp. 509-514
Author(s):  
Jesús Vargas Villa, Mohammad Haroun Sharairi, Alberto Clavería Navarrete, Gerber F. Incacari Sancho
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Information Systems ◽  
Data Analytics ◽  
Accounting Information ◽  
Raw Material ◽  
Accounting Information Systems ◽  
Systems Perspective ◽  
Productivity And Competitiveness

Accounting information systems are responsible for providing information that constitutes raw material for decision making in terms of investment, payments to suppliers, payroll, income, among others. The analysis of such information becomes a cornerstone in the positioning strategies through productivity and competitiveness of any organization. When this analysis is applied to large volumes of information, there are Big Data tools that facilitate the grouping of data according to its source or nature. This paper will describe the most influential accounting information systems in the analysis of large volumes of data that affect the decision making of companies in different sectors of the economy during the period between 2015 and 2020.

scholarly journals Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations

2019 ◽  
Vol 12 (1) ◽  
pp. 277 ◽  
Author(s):  
Vinicius Luiz Ferraz Minatogawa ◽  
Matheus Munhoz Vieira Franco ◽  
Izabela Simon Rampasso ◽  
Rosley Anholon ◽  
Ruy Quadros ◽  
...  
Keyword(s):  
Big Data ◽  
Performance Management ◽  
Business Model ◽  
Small Businesses ◽  
Data Analytics ◽  
Design Science ◽  
Big Data Analytics ◽  
Business Model Innovation ◽  
Raw Material ◽  
Animal Origin

Business model innovation is considered key for organizations to achieve sustainability. However, there are many problems involving the operationalization of business model innovation. We used a design science methodology to develop an artifact to assist business model innovation efforts. The artifact uses performance measurement indicators of the company’s business model, which are powered by Big Data analytics to endow customer-driven business model innovation. Then, we applied the artifact in a critical case study. The selected company is a fashion ecommerce that proposes a vegan and sustainable value using recycled plastic bottle yarn as raw material, and ensures that no material with animal origin is used. Our findings show that the artifact successfully assists a proactive and continuous effort towards business model innovation. Although based on technical concepts, the artifact is accessible to the context of small businesses, which helps to democratize the practices of business model innovation and Big Data analytics beyond large organizations. We contribute to the business model innovation literature by connecting it to performance management and Big Data and providing paths for its operationalization. Consequently, in practice, the proposed artifact can assist managers dealing with business model as a dynamic element towards a sustainable company.

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
Sign in / Sign up

Export Citation Format

Share Document