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Managing a Big Data project: The case of Ramco Cements Limited

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings
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Review-based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach
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Hybrid data mining approach for pattern extraction from wafer bin map to improve yield in semiconductor manufacturing
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A robustness information and visualization model for time and space assembly line balancing under uncertain demand
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Mining logistics data to assure the quality in a sustainable food supply chain: A case in the red wine industry
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Quality control and due diligence in project management: Getting decisions right by taking the outside view
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ERP and SCM systems integration: The case of a valve manufacturer in China
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Recent advances and trends in predictive manufacturing systems in big data environment
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Issues in implementing ERP: A case study
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Efficacy of end-user neural network and data mining software for predicting complex system performance
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Supplier replenishment policy using e-Kanban: A framework for successful implementation
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Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework
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Application of Data Mining Techniques to Healthcare Data
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Case Study Research: Design and Methods
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IT project implementation strategies for effective changes: a critical review
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The Current State of Business Intelligence
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From Databases to Big Data
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Artificial Intelligence and Big Data
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From unstructured data to actionable intelligence
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Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management
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Data Mining in Manufacturing: A Review
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The pathologies of big data
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The meaningful use of big data
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Emerging trends in business analytics
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The Case Research Strategy in Studies of Information Systems
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A Scientific Methodology for MIS Case Studies
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Rigor in Information Systems Positivist Case Research: Current Practices, Trends, and Recommendations1
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ERP and SCM Integration
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Rigor in Information Systems Positivist Case Research: Current Practices, Trends, and Recommendations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Stakeholder Requirements for Big Data Projects: A Multi-Case Study Review
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Creation of unstructured big data from customer service
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A global exploration of Big Data in the supply chain
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Modeling and quantifying uncertainty in the product design phase for effects of user preference changes
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Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach
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Business intelligence systems and operational capability: an empirical analysis of high-tech sectors
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How to promote business analytics project effectiveness: a cross-disciplinary bibliometric analysis
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A review of enterprise social media: visualization of landscape and evolution
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Big data innovation and implementation in projects teams: towards a SEM approach to conflict prevention
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Examining the needs to adopt big data analytics in B2B organizations: development of propositions and model of needs
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How do top- and bottom-performing companies differ in using business analytics?
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Mediating effect of big data analytics on project performance of small and medium enterprises
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Industry 4.0 transition: a systematic literature review combining the absorptive capacity theory and the data–information–knowledge hierarchy
inferred← citeshttps://doi.org/10.1108/md-06-2018-0669openalex-snapshot
Challenges with big data analytics in service supply chains in the UAE
inferred← citeshttps://doi.org/10.1108/md-07-2018-0754openalex-snapshot
A bibliometric analysis of research on Big Data analytics for business and management
inferred← citeshttps://doi.org/10.1108/md-07-2020-0945openalex-snapshot
Identifying the configurational conditions for marketing analytics use in UK SMEs
inferred← citeshttps://doi.org/10.1108/mrr-11-2017-0400openalex-snapshot
An examination of the importance of big data analytics in supply chain agility development
inferred← citeshttps://doi.org/10.1108/tqm-03-2024-0128openalex-snapshot
Assessing Industry 4.0 implementation maturity in manufacturing MSMEs – a graph theory and matrix-based approach
inferred← citeshttps://doi.org/10.1109/bigdata.2016.7840739openalex-snapshot
A strategic approach for visualizing the value of big data (SAVV-BIGD) framework
inferred← citeshttps://doi.org/10.1109/bigdata.2016.7840936openalex-snapshot
Big data team process methodologies: A literature review and the identification of key factors for a project's success
inferred← citeshttps://doi.org/10.1109/bigdata.2016.7840938openalex-snapshot
Software engineering for big data projects: Domains, methodologies and gaps
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8258188openalex-snapshot
Saving costs with a big data strategy framework
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020291openalex-snapshot
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview
inferred← citeshttps://doi.org/10.1109/ic3ecsbhi63591.2025.10991048openalex-snapshot
AI-Enhanced Disaster Recovery Strategies for SAP S/4HANA in the Cloud
inferred← citeshttps://doi.org/10.1109/icced53389.2021.9664881openalex-snapshot
Data Quality Management Maturity Model : A Case Study in Higher Education’s Human Resource Department
inferred← citeshttps://doi.org/10.1109/icim56520.2022.00018openalex-snapshot
Toward Developing Knowledge Grid Model among Big Data Community: Pilot Study
inferred← citeshttps://doi.org/10.1109/icodt255437.2022.9787394openalex-snapshot
Integrated Product-Process Design: Conceptual Framework for Data Driven Manufacturing Resource Selection
inferred← citeshttps://doi.org/10.1109/icriis.2017.8002536openalex-snapshot
Factors influencing to the implementation success of big data analytics: A systematic literature review
inferred← citeshttps://doi.org/10.1109/icriis48246.2019.9073675openalex-snapshot
A Content Validity Study for Big Data Analytics Implementation Model
inferred← citeshttps://doi.org/10.1109/ictmod49425.2020.9380617openalex-snapshot
Data Science Roadmapping: Towards an Architectural Framework
inferred← citeshttps://doi.org/10.1109/ieem.2017.8290005openalex-snapshot
Data analytics in product development: Implications from expert interviews
inferred← citeshttps://doi.org/10.1109/innovations.2015.7381528openalex-snapshot
An investigation into the implementation factors affecting the success of big data systems
inferred← citeshttps://doi.org/10.1109/smile45626.2019.8965318openalex-snapshot
Decision-making of a three-stage supply chain based on Big Data information costs
inferred← citeshttps://doi.org/10.1109/tem.2021.3113502openalex-snapshot
Strategic Key Elements in Big Data Analytics as Driving Forces of IoT Manufacturing Value Creation: A Challenge for Research Framework
inferred← citeshttps://doi.org/10.1109/tsmc.2019.2956201openalex-snapshot
A Heterogeneous Data Analytics Framework for RFID-Enabled Factories
inferred← citeshttps://doi.org/10.1109/wocc.2018.8372725openalex-snapshot
Big data implementation for small and medium enterprises
inferred← citeshttps://doi.org/10.1111/1467-8551.12328openalex-snapshot
Data‐Driven Supply Chain Orientation and Financial Performance: The Moderating Effect of Innovation‐Focused Complementary Assets
inferred← citeshttps://doi.org/10.1111/1467-8551.12333openalex-snapshot
Big Data‐Savvy Teams’ Skills, Big Data‐Driven Actions and Business Performance
inferred← citeshttps://doi.org/10.1111/1467-8551.12355openalex-snapshot
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture
inferred← citeshttps://doi.org/10.1111/radm.12242openalex-snapshot
Improving new product development using big data: a case study of an electronics company
inferred← citeshttps://doi.org/10.1142/s0219877023500335openalex-snapshot
Is the Implementation of Big Data Analytics in Sustainable Supply Chain Really a Challenge? The Context of the Indian Manufacturing Sector
inferred← citeshttps://doi.org/10.1145/3437075.3437078openalex-snapshot
Implementation of Big Data Analytics
inferred← citeshttps://doi.org/10.1145/3783862.3783870openalex-snapshot
DASPROMM - Data Science Project Management and MLOpS
inferred← citeshttps://doi.org/10.1155/2017/9024712openalex-snapshot
Pricing Strategies of a Three-Stage Supply Chain: A New Research in the Big Data Era
inferred← citeshttps://doi.org/10.1155/2021/5846952openalex-snapshot
Application of Artificial Intelligence and Collaborative Knowledge for Manufacturing Design
inferred← citeshttps://doi.org/10.1177/0258042x231208586openalex-snapshot
A Journey of Business Analytics in Improving Supply Chain Performance: A Systematic Review of Literature
inferred← citeshttps://doi.org/10.1177/2158244016653987openalex-snapshot
A Complex View of Industry 4.0
inferred← citeshttps://doi.org/10.1177/2394901517696606openalex-snapshot
Drivers and Inhibitors of Big Data as a Service Adoption in India
inferred← citeshttps://doi.org/10.1186/s40537-018-0162-3openalex-snapshot
Manufacturing process data analysis pipelines: a requirements analysis and survey
inferred← citeshttps://doi.org/10.12794/metadc1404511openalex-snapshot
A Grounded Theory Model of the Relationship between Big Data and an Analytics Driven Supply Chain Competitive Strategy
inferred← citeshttps://doi.org/10.14488/bjopm.2021.023openalex-snapshot
Usage of Information Technology and Business Analytics within Sales and Operations Planning: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1504/ijpm.2020.10024638openalex-snapshot
Cyber-physical systems with autonomous machine-to-machine communication: Industry 4.0 and its particular potential for purchasing and supply management
inferred← citeshttps://doi.org/10.1504/ijpm.2020.108617openalex-snapshot
Cyber-physical systems with autonomous machine-to-machine communication: Industry 4.0 and its particular potential for purchasing and supply management
inferred← citeshttps://doi.org/10.1590/0103-6513.20190140openalex-snapshot
An overview of big data analytics application in supply chain management published in 2010-2019
inferred← citeshttps://doi.org/10.18280/isi.260308openalex-snapshot
Semantic Web Mining for Analyzing Retail Environment Using Word2Vec and CNN-FK
inferred← citeshttps://doi.org/10.20474/jabs-2.6.1openalex-snapshot
Logistics business analytics for achieving environmental sustainability
inferred← citeshttps://doi.org/10.20944/preprints202110.0103.v1openalex-snapshot
Usage of Data Analytics in Improving Sourcing of Supply Chain Inputs
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9439065/v1openalex-snapshot
Can Business Intelligence Make Small Businesses More Innovative? Understanding the Role of Knowledge Management and Data-Driven Decision Making
inferred← citeshttps://doi.org/10.21278/idc.2018.0213openalex-snapshot
DERIVING A USE PHASE DATA STRATEGY FOR CONNECTED PRODUCTS: A PROCESS MODEL
inferred← citeshttps://doi.org/10.21278/idc.2018.0215openalex-snapshot
DEVELOPMENT OF A CATALOGUE SUPPORTING IDEA GENERATION FOR INTERNET OF THINGS USE CASES
inferred← citeshttps://doi.org/10.22579/23463910.194openalex-snapshot
El efecto global de la actual revolución tecnológica 4ª revolución industrial y la industria 4.0 en acción
inferred← citeshttps://doi.org/10.23919/picmet.2017.8125460openalex-snapshot
Big Data in Product Development: Need for a Data Strategy
inferred← citeshttps://doi.org/10.23919/picmet.2018.8481828openalex-snapshot
Development of a Use Phase Data Strategy for Connected Products: A Case Study in Industry
inferred← citeshttps://doi.org/10.24084/repqj14.526openalex-snapshot
Innovative planning synergies between manufacturing processes and microgrids
inferred← citeshttps://doi.org/10.24325/issn.2446-5763.v4i10p126-145openalex-snapshot
PERSPECTIVAS PARA A GESTÃO DO CONHECIMENTO NO CONTEXTO DA INDÚSTRIA 4.0
inferred← citeshttps://doi.org/10.24840/2183-0606_004.001_0005openalex-snapshot
A Framework for Boosting Revenue Incorporating Big Data
inferred← citeshttps://doi.org/10.24840/2183-0606_011.004_0007openalex-snapshot
Will Machines Innovate for and with Us - What Kind of Strategic Themes Could Belong to Innovation Automation?
inferred← citeshttps://doi.org/10.24867/ijiem-2021-2-282openalex-snapshot
Digital twin testbed and practical applications in production logistics with real-time location data
inferred← citeshttps://doi.org/10.25726/i8909-6036-0848-jopenalex-snapshot
Технологии big data в управлении девелоперскими проектами вузов при реорганизации промышленных зон в научно-образовательные кластеры
inferred← citeshttps://doi.org/10.26480/egnes.02.2023.96.104openalex-snapshot
BIG DATA IN THE OIL SECTOR: A REVIEW OF HOW ANALYTICS IS REVOLUTIONIZING SUPPLY CHAIN OPERATIONS
inferred← citeshttps://doi.org/10.29240/jhi.v10i1.11941openalex-snapshot
Optimizing AI Technology in Assessing Islamic Financing Risks: A SWOT Analysis of Challenges and Opportunities from an Islamic Legal Perspective (Fiqh)
inferred← citeshttps://doi.org/10.31428/10317/9884openalex-snapshot
Evolución y tendencias de sistemas de gestión energética en la industria
inferred← citeshttps://doi.org/10.3233/rft-171670openalex-snapshot
Increasing the effectiveness of procurement decisions: The value of big data in the procurement process
inferred← citeshttps://doi.org/10.3389/fpsyg.2022.948764openalex-snapshot
The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit
inferred← citeshttps://doi.org/10.3390/buildings15132167openalex-snapshot
Big Data-Driven Implementation in International Construction Supply Chain Management: Framework Development, Future Directions, and Barriers
inferred← citeshttps://doi.org/10.3390/businesses6020032openalex-snapshot
Adoption and Impact of Big Data Analytics in the Food Industry in South-Western Nigeria
inferred← citeshttps://doi.org/10.3390/electronics11213540openalex-snapshot
Framework for Structuring Big Data Projects
inferred← citeshttps://doi.org/10.3390/en15020639openalex-snapshot
Decision-Making under the Risk, Uncertainty and COVID-19 Pandemic Conditions Applying the PL9A Method of Logistics Planning—Case Study
inferred← citeshttps://doi.org/10.3390/logistics2020010openalex-snapshot
Archetypes of Supply Chain Analytics Initiatives—An Exploratory Study
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