How to Make Business Intelligence Agile: The Agile BI Actions Catalog

Krawatzeck, Robert; Dinter, Barbara; Thi, Duc Anh Pham

doi:10.1109/hicss.2015.566

Cited by 13 publications

(8 citation statements)

References 26 publications

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“…The Goal driven approach [43] employs a top-down technique that focuses to align DW design with corporate strategy and business objectives. The adaptation capability of BI systems was described [38] as 'BI agility'. The terms BI agility is stated that BI systems have to react to unforeseen or volatile requirements in a given time frame results from increasingly complex and dynamic organizational environments.…”

Section: Methodsmentioning

confidence: 99%

One-Pot Synthesis of Requirements Elicitation for Operational BI (OBI) System: in the Context of the Modern Business Environment

Sarma

2019

JISEBI

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Background: Requirement elicitation is the first step for any project. The available BI requirement elicitation approaches are focused more towards: the top pyramid of the management, less focus on the business aspect of an organization, historical in nature, emphasis on data mining and data warehousing aspects, no clear separation between requirements, and lack of proper linkage between the requirements. The demand of BI shifts towards the operational front for last couple of years. The use of Operational BI is gaining more popularity among industry and business communities because of increased demand of real time BI. It provides a powerful analysis of both operational and business information in current time for all levels of the users in the organization.Objective: In the modern business environment, the business operates on networks that demands multi-level decision-making capabilities as compared to the traditional business approaches. Operational BI is one of the business information systems that support the modern business environment and provides timely decision-making information to all the users in the organization. The requirement elicitation methodology for Operational BI system is found open for research. A new approach for requirement elicitation for an Operational BI system is presented in this paper, which highly suits to the organizations in the modern business environment.Methods: A top down technique is employed in the proposed requirements methodology that focuses on the business context of an organization. The proposed requirement elicitation approach is highly suited for the organizations that operate in the modern business environment. This approach overcomes several limitations in the existing BI requirement approaches. A case study is presented to support the proposed requirement elicitation approach for OBI system.Conclusion: This approach has several advantages like fast development, clear definition, classification of various types of requirements and proper linkage between the requirements without any loss or missing of gathering requirements. Finally, it is to conclude that the proposed approach acts as a one-pot synthesis of requirements elicitation for Operational BI system.Keywords: Business Context, Business, Intelligence, Business Networks, Protocols, Modern Business, Environment, Operational Business, Intelligence Requirement, Elicitation, Requirement, Methodology

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Section: Methodsmentioning

confidence: 99%

One-Pot Synthesis of Requirements Elicitation for Operational BI (OBI) System: in the Context of the Modern Business Environment

Sarma

2019

JISEBI

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“…Agile BI can be defined as a fast and flexible process that uses the agile methods to enable rapid development and allow companies to be intelligent and support strategy, tactical, and operation insight [21,22]. The agile means the ability to adapt.…”

Section: -Agile Business Intelligencementioning

confidence: 99%

Proposed Metrics for Agile Business Intelligence

Najar,

Gawad

2023

IJCI

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Business Intelligence has become the front of demanding technologies. The large or midsize companies need technology to adapt to changing requirements, to deal with a rich amount of data; to get correct information, to analyze data, and finally to quickly support decision makers. Developing an agile BI application can be defined as a short-delivering software application. This process is based on frequently adapting to changing requirements, involving customer participation, and delivering high-quality applications. Agile teams need a set of reliable metrics to measure their performance at different three levels: functionality, content, and scalability. This paper proposes Goal Question Agility Metrics that can be used in measuring the performance of agile teams working in developing business intelligence applications. Goal Question Agility Metrics is based on the Goal Question Metrics method that was developed by Victor Basili in 1994 [19]. In addition, Goal Question Agility Metrics depend on agile and BI concepts. GQAM proposes a set of metrics that are used to measure performance. The GQAM will be subjected to experiments using a real data set in the future.

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“…Moreover, data locality may require the definition of expensive processes (Goede 2011) and a careful design of data replication-based architectures. As outlined in Section 1, in order to avoid such silos, the literature proposes data virtualization for ever-changing integration needs (Krawatzeck et al 2015). Remote source-independent selection becomes a key element for ensuring agile data integration.…”

Section: Selection Logic Embedded In Rulesmentioning

confidence: 99%

“…Several data virtualization patterns exist: (i) data may be passed directly to an execution engine for query processing and then discarded; (ii) data may be cached in memory for subsequent processing and then discarded; or (iii) data may be temporarily written to disk for prompt subsequent processing and then discarded (Idreos et al 2011;Cheng and Rusu 2015). Multi-source data integration and/or data cleansing and transformation might hence be defined in a logical layer and then applied to data as they are retrieved from the data sources while generating reports (Pullokkaran 2013;Krawatzeck et al 2015). Databases may be built by launching queries, instead of building databases for launching queries (Karpathiotakis et al 2015).…”

Section: Sharing and Reuse Needs: The Soa Impetusmentioning

confidence: 99%

Efficiency and Agility for a Modern Solution of Deterministic Multiple Source Prioritization and Validation Tasks

Cesaro

Tininini

2018

Journal of Official Statistics

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This article focuses on a multiple source prioritization and validation service. We describe a modern rule-based, loosely coupled solution. We follow generalization, efficiency and agility principles in application design. We show benefits and stumbling blocks in micro-service architectural style and in rule-based solutions, where even the selection task is solved through selection rules, which encapsulate the calls to Entity Services, allowing access to input-sources. We allowing the rule-based service efficiency and further local and remote input data selection scenarios for the validation Statistical Service. In particular, data virtualization technologies enable architects to use remote sourcing and further increases agility in data selection issues. Through a wide number of experimental results, we show the necessary level of attention in process implementation, data architectures and resource usage. Agility and efficiency emerge as drivers which possibly sustain the Modernization flexibility impetus. In fact, flexible services may potentially serve multiple scenarios and domains.

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How to Make Business Intelligence Agile: The Agile BI Actions Catalog

Cited by 13 publications

References 26 publications

One-Pot Synthesis of Requirements Elicitation for Operational BI (OBI) System: in the Context of the Modern Business Environment

One-Pot Synthesis of Requirements Elicitation for Operational BI (OBI) System: in the Context of the Modern Business Environment

Proposed Metrics for Agile Business Intelligence

Efficiency and Agility for a Modern Solution of Deterministic Multiple Source Prioritization and Validation Tasks

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