Transformation and Enactment of Data-Intensive Business Processes Using Advanced Architectural Styles

2020 ◽  
pp. 309-326
Author(s):  
Jānis Grabis
Keyword(s):  
Business Processes ◽  
Data Intensive ◽  
Architectural Styles

A Data-Intensive Approach to Named Entity Recognition Combining Contextual and Intrinsic Indicators

2012 ◽  
Vol 3 (1) ◽  
pp. 55-71 ◽  
Author(s):  
O. Isaac Osesina ◽  
John Talburt
Keyword(s):  
Domain Knowledge ◽  
High Performance ◽  
Business Processes ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Substantial Part ◽  
Data Intensive ◽  
Named Entity ◽  
Unstructured Text ◽  
Wide Availability

Over the past decade, huge volumes of valuable information have become available to organizations. However, the existence of a substantial part of the information in unstructured form makes the automated extraction of business intelligence and decision support information from it difficult. By identifying the entities and their roles within unstructured text in a process known as semantic named entity recognition, unstructured text can be made more readily available for traditional business processes. The authors present a novel NER approach that is independent of the text language and subject domain making it applicable within different organizations. It departs from the natural language and machine learning methods in that it leverages the wide availability of huge amounts of data as well as high-performance computing to provide a data-intensive solution. Also, it does not rely on external resources such as dictionaries and gazettes for the language or domain knowledge.

scholarly journals Big data and risk management in business processes: implications for corporate real estate

2019 ◽  
Vol 26 (5) ◽  
pp. 1141-1155 ◽  
Author(s):  
Enrico Battisti ◽  
S.M. Riad Shams ◽  
Georgia Sakka ◽  
Nicola Miglietta
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Big Data ◽  
Real Estate ◽  
Business Strategy ◽  
Process Management ◽  
Business Processes ◽  
Content Type ◽  
Data Intensive ◽  
Corporate Real Estate

Purpose The purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference to corporate real estate (CRE). Design/methodology/approach This conceptual study follows, methodologically, the structuring inter-textual coherence process – specifically, the synthesised coherence tactical approach. It draws heavily on theoretical evidence published, mainly, in the corporate finance and the business management literature. Findings A new conceptual framework is presented for CRE to proactively develop insights into the potential benefits of using BD as a business strategy/instrument. The approach was found to strengthen decision-making processes and encourage better RM – with significant consequences, in particular, for business process management (BPM). Specifically, by recognising the potential uses of BD, it is also possible to redefine the processes with advantages in terms of RM. Originality/value This study contributes to the literature in the fields of real estate, RM, BPM and digital transformation. To the best knowledge of authors, although the literature has examined the concepts of BD, RM and BP, no prior studies have comprehensively examined these three elements and their conjoint contribution to CRE. In particular, the study highlights how the automation of data-intensive activities and the analysis of such data (in both structured and unstructured forms), as a means of supporting decision making, can lead to better efficiency in RM and optimisation of processes.

Predicting architectural styles for mobile distributed, data-intensive systems

2011 ◽  
pp. 201-204
Author(s):  
Sachin N. Gore ◽  
Pallavi N. Halarnkar ◽  
Niraj Kulkarni ◽  
Neavin Samuel ◽  
Rohit Taneja
Keyword(s):  
Distributed Data ◽  
Data Intensive ◽  
Architectural Styles

scholarly journals Without Data Quality, There Is No Data Migration

2021 ◽  
Vol 5 (2) ◽  
pp. 24
Author(s):  
Otmane Azeroual ◽  
Meena Jha
Keyword(s):  
Data Quality ◽  
Data Storage ◽  
Business Processes ◽  
Data Migration ◽  
Quality Data ◽  
Migration Strategy ◽  
Data Intensive ◽  
Migration Strategies ◽  
The One ◽  
The Cost

Data migration is required to run data-intensive applications. Legacy data storage systems are not capable of accommodating the changing nature of data. In many companies, data migration projects fail because their importance and complexity are not taken seriously enough. Data migration strategies include storage migration, database migration, application migration, and business process migration. Regardless of which migration strategy a company chooses, there should always be a stronger focus on data cleansing. On the one hand, complete, correct, and clean data not only reduce the cost, complexity, and risk of the changeover, it also means a good basis for quick and strategic company decisions and is therefore an essential basis for today’s dynamic business processes. Data quality is an important issue for companies looking for data migration these days and should not be overlooked. In order to determine the relationship between data quality and data migration, an empirical study with 25 large German and Swiss companies was carried out to find out the importance of data quality in companies for data migration. In this paper, we present our findings regarding how data quality plays an important role in a data migration plans and must not be ignored. Without acceptable data quality, data migration is impossible.

scholarly journals Integrated Exploration of Data-Intensive Business Processes

2021 ◽  
pp. 1-1
Author(s):  
Carlo Combi ◽  
Barbara Oliboni ◽  
Francesca Zerbato
Keyword(s):  
Business Processes ◽  
Data Intensive

PERENCANAAN ARSITEKTUR ENTERPRISE MENGGUNAKAN EAP DENGAN ZACHMAN FRAMEWORK (Studi Kasus : CV BIENSI FESYENINDO)

2019 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Anjas Tryana
Keyword(s):  
Enterprise Architecture ◽  
Business Processes ◽  
Current System ◽  
System Support ◽  
Architecture Model ◽  
Use Of Resources ◽  
Application Architecture ◽  
Data Architecture ◽  
Planning Methodology ◽  
Implementation Plans

With the development of technology today, it is very important for every company to plan and develop a system to support business processes in each company. Achieving the goals of an enterprise faces challenges and changes that require strategies for effective measures and efficient use of resources. One important and increasingly widely used strategy is the use and improvement of information system support for the enterprise. This plan can utilize enterprise architecture planning methodology that produces data architecture, application architecture, technology architecture, and the direction of its implementation plan for the enterprise.CV Biensi Fesyenindo is engaged in retail garment, with branches throughout Indonesia, covering the areas of Kalimantan, Sulawesai, NTB, NTT, Bali, Java and Sumatra. In their daily activities, they carry out production to distribution processes to meet market and employee needs.The enterprise architecture model used in this study is by using Enterprise Architecture Planning (EAP). EAP is a process of defining enterprise architecture that focuses on data architecture, applications and technology in supporting business and plans to implement the architecture, where the EAP method has several stages, starting from planning in planning, business modeling , Current System and Technology (Current System & Technology), Data Architecture (Data Architecture), Application Architecture (Applications Architecture), Technology Architecture (Technology Architecture), Implementation Plans (Implementation Plans).The results of this study are recommendations for information systems for Fesyenindo Biensi CV in the form of enterprise architecture planing blue print planning that is successful in defining 5 main business processes, which consist of application architecture data architecture and for technological architecture to produce technology architecture proposals divided into 5 chapters 110 pages .

Developing and implementing the risk management framework into business processes of Gazprom transgaz Tomsk Ltd., for implementation of the Eastern gas program of PJSC Gazprom

2020 ◽  
Vol 17 (1) ◽  
pp. 68-77
Author(s):  
V. E. Zaikovsky ◽  
A. V. Karev
Keyword(s):  
Risk Management ◽  
Human Resources ◽  
Management Information System ◽  
Business Processes ◽  
Project Success ◽  
Management Information ◽  
Timely Manner ◽  
Project Approach ◽  
Management Framework ◽  
Risk Management Framework

Project success depends on the ability to respond to risks and make correct decisions in a timely manner. The project approach provides a better framework for implementing a new management system into the company’s business processes. The risk management framework developed by the company comprises a risk management infrastructure, a set of standards, human resources, and a risk management information system. To improve staff compliance, it is necessary to provide training and to communicate the goals of the project effectively. It is also important to develop a motivation system because well trained and motivated staff are able to work more efficiently.

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