Principled Reference Data Management for Business Intelligence

2014 ◽  
pp. 219-235
Author(s):  
Ivan Milman ◽  
Martin Oberhofer ◽  
Sushain Pandit ◽  
Yinle Zhou
Keyword(s):  
Data Management ◽  
Business Intelligence ◽  
Information Integration ◽  
Call Center ◽  
Business Processes ◽  
Reference Data ◽  
Critical Role ◽  
Business Success ◽  
Quality Of Data ◽  
Operational Excellence

Most large enterprises requiring operational business processes (e.g., call center, human resources, order fulfillments, billing, etc.) utilize anywhere from a few hundred to several thousand instances of legacy, upgraded, cloud-based, and/or acquired information management applications. Due to this vastly heterogeneous information landscape, Business Intelligence (BI) systems (e.g., enterprise data warehouses) receive unconsolidated data from a wide-range of data sources with no overarching governance procedures to ensure quality, consistency, or appropriateness. Although different applications deal with their own flavor of data (e.g., master data, metadata, unstructured and structured data, etc.), reference data (residing in code tables) is found invariably in all of them. Given the critical role that BI plays in ensuring business success, the fact that BI relies heavily on the quality of data to ensure that the intelligence being provided is trustworthy and the prevalence of reference data in the information integration landscape, a principled approach towards management, stewardship, and governance of reference data becomes necessary to ensure quality and operational excellence across BI systems. In this chapter, the authors discuss this approach in the domain of typical reference data management concepts and features, leading to a comprehensive solution architecture for BI integration.

Principled Reference Data Management for Big Data and Business Intelligence

2017 ◽  
Vol 7 (1) ◽  
pp. 47-66
Author(s):  
Sushain Pandit ◽  
Ivan Milman ◽  
Martin Oberhofer ◽  
Yinle Zhou
Keyword(s):  
Big Data ◽  
Data Management ◽  
Business Intelligence ◽  
Information Integration ◽  
Reference Data ◽  
Critical Role ◽  
Business Success ◽  
Quality Of Data ◽  
Management Concepts ◽  
Wide Range

Most large enterprises requiring operational business processes utilize several thousand instances of legacy, upgraded, cloud-based, and/or acquired information management applications. With the advent of Big Data, Business Intelligence (BI) systems, receive unconsolidated data from a wide-range of data sources with no overarching governance procedures to ensure quality and consistency. Although different applications deal with their own flavor of data, reference data is found in all of them. Given the critical role that BI plays in ensuring business success, the fact that BI relies heavily on the quality of data to ensure that the intelligence being provided is trustworthy, and the prevalence of reference data in the information integration landscape, a principled approach towards management, stewardship and governance of reference data becomes necessary to ensure quality and operational excellence across BI systems. The authors discuss this approach in context of typical reference data management concepts and features, leading to a comprehensive solution architecture for BI integration.

Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

2017 ◽  
Vol 4 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Diana Effendi
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Management ◽  
Information Quality ◽  
Quality Data ◽  
Management Approach ◽  
Quality Of Data ◽  
Information Product ◽  
Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The  process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management.   Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

scholarly journals The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition

GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Daniel Arend ◽  
Patrick König ◽  
Astrid Junker ◽  
Uwe Scholz ◽  
Matthias Lange
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Best Practice ◽  
Research Process ◽  
Research Data ◽  
Primary Data ◽  
Data Repository ◽  
Plant Genomics ◽  
Quality Of Data

Abstract Background The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries. Results To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as means to lower technical barriers and to increase the visibility of research data. Conclusion The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.

scholarly journals The influence of data management, organisation culture and organisation motivation on the likeliness of Business Intelligence adoption

2021 ◽  
Author(s):  
◽  
Ria van den Berg
Keyword(s):  
New Zealand ◽  
Technology Adoption ◽  
Data Management ◽  
Business Intelligence ◽  
Business Environment ◽  
Study Objective ◽  
Organisational Factors ◽  
Organisation Culture ◽  
Management Organisation ◽  
Research Studies

<p>Business Intelligence has become a powerful business tool that describes the business environment, the organisation, its situation in terms of markets, customers, competitors and its financial situation. The objective of BI is to increase the overall performance of the organisation through an informed decision making process. This research study objective is to identify the organisational factors that will increase the likeliness of BI adoption by small-to-medium enterprises (SME’s) in New Zealand. Existing research studies however, focus predominantly on the challenges and benefits of BI technologies adoption. Importantly this study do not define BI as purely a technology but defines it as methods, processes and technology that work together to gain intelligent insight from business information. The organisational factors identified that formed the hypotheses of the research model included data management, organisation culture and organisation motivation. These factors were identified through factor analysis that included technology adoption models and existing research studies specifically related to SME BI and technology adoption. The outcome of the research has identified that only organisation motivation in the context of competitiveness and perception of BI’s value and benefits can significantly influence the likeliness of BI adoption. New Zealand SME’s form the backbone of the country’s economy and also operate in extreme competitive niche markets. The adoption of BI practice and the use of information as a strategic resource will enable SME’s to be more innovative and competitive.</p>

Assessment of ambulance services performance by queuing theory, at the Center for Disaster and Emergency Management: A descriptive-analytical study

2021 ◽  
Vol 19 (5) ◽  
pp. 469-478
Author(s):  
Mehdi Nasr Isfahani, MD ◽  
Azar Niknam, PhD Student ◽  
Mahoobeh Doosti-Irani, PhD Student
Keyword(s):  
Call Center ◽  
Queuing Theory ◽  
Analytical Study ◽  
Arrival Time ◽  
Statistical Data ◽  
Average Duration ◽  
Critical Role ◽  
International Standards ◽  
Admission Process ◽  
The City

Background: The emergency departments of the hospitals and emergency medical services (EMSs) centers have a critical role for providing urgent medical care for patients. The statistical data of the present study were provided by the EMS headquarters of the city of Isfahan, from August to November 2017. Results: The findings showed that on average, 210 missions were accomplished each day by the emergency call center, with an average duration of about 53 minutes, for each mission. In addition, the average time for response time (the time between a call and dispatch of the ambulance) was less than 3 minutes, and the average time for arrival time (the time between request of ambulance and the arrival to the scene) was 8.1 minutes. Adequacy of current number of ambulances and staff is evaluated.Conclusion: Considering an average of 8.1 minutes for arrival time, we conclude that the EMS of Isfahan is within an acceptable range, compared to the international standards. In fact, it is shown that the infrastructures of EMS system including ambulance fleets, staff, and equipment are sufficient, and as an effective step for reducing the total time of the mission, the EMS has to operate seamlessly with the patient’s admission process in hospitals. Information such as workload hours, availability of resources and staff, etc. ought to be shared between the EMS and the hospital.

DESIGN OF STANDARD OPERATING PROCEDURES (SOP) AND IMPLEMENTATION AT PT BSP

2021 ◽  
Vol 5 (1) ◽  
pp. 105-115
Author(s):  
Prila Anjani ◽  
Shinta Wahyu Hati
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Operating Procedure ◽  
Business Processes ◽  
Standard Operating Procedure ◽  
Standard Operating Procedures ◽  
Shipping Company ◽  
Standard Operating ◽  
Personnel Administration ◽  
Financial Administration

This study aims to design a Standard Operating Procedure (SOP) for shipping companies in PT Bintan Samudra Pacific. The administration is an instruction that becomes an important factor in the success of a shipping company to control transportation operations. PT BSP which requires a Standard Operating Procedure (SOP) flow which is expected to be a reference and guide in conducting administrative activities that can facilitate the management of data related to the division of marketing administration, personnel administration, and financial administration. The method used in the design of SOPs is made by summarizing and analyzing several data obtained from data collection and evaluating business processes that have been carried out. From this research, SOP administration in shipping, marketing, personnel, and financial administration can be used as a guide in data management integrated.

Development of Human Factors Ontology for Business Knowledge Management

2013 ◽  
pp. 176-193
Author(s):  
Monica Philippart ◽  
Waldemar Karwowski
Keyword(s):  
Knowledge Management ◽  
Human Factors ◽  
Cognitive Skills ◽  
Business Processes ◽  
Design Approach ◽  
Business Success ◽  
Effective Management ◽  
Human Centered Design ◽  
Human Factors And Ergonomics ◽  
Novel Method

Employee knowledge and cognitive skills are key assets to achieving business success, yet are often mismanaged. By promoting the human-centered design approach, the discipline of human factors and ergonomics (HF/E) can significantly contribute to optimizing business processes through effective management of employee knowledge. However, a comprehensive methodology is needed to help organizations integrate the HF/E principles across various business processes. This paper introduces a novel method for integrating HF/E principles into business processes through the application of HF/E ontologies.

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