Business Intelligence Visualization Technology and Its Application in Enterprise Management

2020 ◽  
Author(s):  
Sun Jun
Keyword(s):  
Business Intelligence ◽  
Enterprise Management ◽  
Visualization Technology

Business Intelligence and Knowledge Management in Enterprise Applications

2020 ◽  
pp. 92-100
Author(s):  
Arulmurugan Ramu ◽  
Anandakumar Haldorai
Keyword(s):  
Knowledge Management ◽  
Business Intelligence ◽  
Qualitative Data ◽  
Enterprise Management ◽  
Essential Information ◽  
The Core ◽  
Modern Age ◽  
Data Value ◽  
Enterprise Applications ◽  
Modern Business

In the modern business day, enterprises have extensive data that has stimulated data variety in many information silos. These activities for extracting valued data from the sources apply Knowledge Management (KM) and Business Intelligence (BI) technologies and applications. The BI frameworks can effectively empower companies to share, analyse also access knowledge and data. Apart from that, KM fundamentally promotes the usage of knowledge and data that is available in the company. In that case, it might be assumed that KM and BI plays a fundamental role in the development of quantitative and qualitative data value which is essential for decision-making. These concepts can benefit from each other and it can be considered that BI plays a fundamental role in KM projects. For instance, BI techniques are applicable in KM for carrying and creating knowledge. The core rationale of this research is to evaluate the interactions, connections and differences between KM and BI. In this analysis, the essential information was taken and collected from different case studies and various literature sources. This procedure is used to compose this research which helps to access accurate data which is essential to mention enterprise management in the modern age. In general, effective agreement results has been witnessed in other scholastic research which states the clear connection of the two concepts and their interaction with each other.

Decision-Making with Big Data Using Open Source Business Intelligence Systems

2016 ◽  
pp. 120-147 ◽  
Author(s):  
Jorge Bernardino ◽  
Pedro Caldeira Neves
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Open Source ◽  
Business Intelligence ◽  
Business Performance ◽  
Specific Area ◽  
Enterprise Management ◽  
Business Decision ◽  
Business Intelligence Systems ◽  
Fundamental Shift

The importance of supporting decision making for improving business performance is a crucial, yet challenging task in enterprise management. The amount of data in our world has been exploding and Big Data represents a fundamental shift in business decision-making. Analyzing such so-called Big Data is becoming a keystone of competition and the success of organizations depends on fast and well-founded decisions taken by relevant people in their specific area of responsibility. Business Intelligence (BI) is a collection of decision support technologies for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. We review the concept of BI as an open innovation strategy and address the importance of BI in revolutionizing knowledge towards economics and business sustainability. Using Big Data with Open Source Business Intelligence Systems will generate the biggest opportunities to increase competitiveness and differentiation in organizations. In this chapter, we describe and analyze four popular open source BI systems - Jaspersoft, Jedox, Pentaho and Actuate/BIRT.

Decision-Making With Big Data Using Open Source Business Intelligence Systems

Web Services ◽  
2019 ◽  
pp. 431-458 ◽  
Author(s):  
Jorge Bernardino ◽  
Pedro Caldeira Neves
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Open Source ◽  
Business Intelligence ◽  
Business Performance ◽  
Specific Area ◽  
Enterprise Management ◽  
Business Decision ◽  
Business Intelligence Systems ◽  
Fundamental Shift

The importance of supporting decision making for improving business performance is a crucial, yet challenging task in enterprise management. The amount of data in our world has been exploding and Big Data represents a fundamental shift in business decision-making. Analyzing such so-called Big Data is becoming a keystone of competition and the success of organizations depends on fast and well-founded decisions taken by relevant people in their specific area of responsibility. Business Intelligence (BI) is a collection of decision support technologies for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. We review the concept of BI as an open innovation strategy and address the importance of BI in revolutionizing knowledge towards economics and business sustainability. Using Big Data with Open Source Business Intelligence Systems will generate the biggest opportunities to increase competitiveness and differentiation in organizations. In this chapter, we describe and analyze four popular open source BI systems - Jaspersoft, Jedox, Pentaho and Actuate/BIRT.

Open Business Intelligence for Better Decision-Making

2013 ◽  
Vol 5 (2) ◽  
pp. 20-36 ◽  
Author(s):  
Jorge Bernardino
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Open Innovation ◽  
Knowledge Workers ◽  
Specific Area ◽  
Global Scale ◽  
Innovation Strategy ◽  
Enterprise Management ◽  
Business Sustainability ◽  
Conflicting Goals

Decision-making is a crucial, yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches. This is often due to lack of data, unknown relationships between data and goals, conflicting goals and poorly understood risks. The success of organizations depends on fast and well-founded decisions taken by relevant people in their specific area of responsibility. Business Intelligence (BI) is a collection of decision support technologies for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. In this paper, the authors review the concept of BI as an open innovation strategy and address the importance of BI in revolutionizing knowledge towards economics and business sustainability. The main objective is to discuss why the concept of BI has become increasingly important and presents some of the top key applications and technologies to implement open BI in organizations, which would like to enter into the new market and operate on a global scale.

APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION

2018 ◽  
Vol 8 (2) ◽  
pp. 12-14
Author(s):  
Sylwia Gwoździewicz ◽  
Dariusz Prokopowicz ◽  
Jan Grzegorek ◽  
Martin Dahl
Keyword(s):  
Risk Management ◽  
Business Intelligence ◽  
Enterprise Management ◽  
Business Analytics ◽  
Corporate Managers ◽  
Software Companies ◽  
Analytical Applications ◽  
Integrated Risk ◽  
Business Entities ◽  
Integrated Risk Management

Currently, business analytics uses computerized platforms containing ready-made reporting formulas in the field of Business Intelligence. In recent years, software companies supporting enterprise management offer advanced applications of information-analytical Business Intelligence class systems consisting of modular development of these systems and combining business intelligence software with platforms that use data warehouse technology, multi-dimensional analytical processing software and data mining and processing applications. This article describes an example of this type of computerized analytical platform for business entities, which is included in analytical applications that allow quick access to necessary, aggregated and multi-criteria processed information. The software allows entrepreneurs and corporate managers as well as entities from the SME sector on the one hand to use embedded patterns of reports or analyzes, and on the other hand to self-develop and configure analyzes carried out, tailored to the specifics of a specific entity. Such analytical applications make it possible to build integrated risk management systems in the organization.

scholarly journals Open Business Intelligence for Better Decision-Making

Economics ◽  
2015 ◽  
pp. 611-628
Author(s):  
Jorge Bernardino
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Business Intelligence ◽  
Open Innovation ◽  
Specific Area ◽  
Global Scale ◽  
Innovation Strategy ◽  
Enterprise Management ◽  
Business Sustainability ◽  
Conflicting Goals

Decision-making is a crucial, yet challenging task in enterprise management. In many organizations, decisions are still made based on experience and intuition rather than on facts and rigorous approaches. This is often due to lack of data, unknown relationships between data and goals, conflicting goals and poorly understood risks. The success of organizations depends on fast and well-founded decisions taken by relevant people in their specific area of responsibility. Business Intelligence (BI) is a collection of decision support technologies for enterprises aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. In this paper, the authors review the concept of BI as an open innovation strategy and address the importance of BI in revolutionizing knowledge towards economics and business sustainability. The main objective is to discuss why the concept of BI has become increasingly important and presents some of the top key applications and technologies to implement open BI in organizations, which would like to enter into the new market and operate on a global scale.

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