**Author details**

*Data Integrity and Quality*

**7. Conclusion**

Spark computation model with a Hive database as a distributed data warehouse. The use of Apache Spark enhances short time frames for quality and availability reporting. BDI processing involves data acquisition, semantic integration, statistical data analysis, data visualization, data query language, geospatial data techniques. Big data

The economic model of the cloud promotes BDI processing by providing online services for decision-makers and the business community. Usage of various tools, techniques and applications of BDI leverages the ability to handle speed, variety and uncertainty. Knowledge-driven framework for BDI describes a knowledge graph. Human-machine interface for BDI integrates data from heterogeneous resources in a secure and scalable way. Ontologies and unified schema as a knowledge graph for describing integrated data. Multi-Source BDI is a framework for integrating data in the distributed storage environment. Authors have discussed BDI research issues and challenge data accommodation, data irregularity, query optimization, extensibility, ETL processing. Remote sensing data. Real-time big data analytics processes stream of big text, image, and videos generated from IoMT, IoT and CCTVs systems. Implementing real-time, complex big data analytics in the cloud using BDI process reduces the cost of operations. This paper discussed five case studies of BDI

This chapter discussed the importance of BDI process implemented in diverse organizations for providing valuable insights into business data. These insights into the data enable the manager to take intelligent and well-informed rational decisions. An extensive study of literature on BDI applications deployed in diverse domains across the world was carried out and highlights are discussed. The intelligent and autonomous BDI systems are designed using AI, Blockchain, Big data, 5G, Fog and cloud technologies. The comparative analysis of specific parameters was carriedout on curated to survey papers to identify the research gaps and future opportunities in the BDI domain. The five case studies from fortune 500 companies have discussed the insights about how BDI is empowering business decision making leveraging quality, trust, security, flexibility, efficiency and also reduce the cost of operations. The authors attempted to provide a holistic view of BDI concepts and applications. Authors concluded that BDI

plays a vital role in the diverse organizations at present and in near future also.

analytics framework enables us to create business value.

applications implemeneted in the in world-class organizations.

**68**

Sreekantha Desai Karanam1 \*, Rajani Sudhir Kamath<sup>2</sup> , Raja Vittal Rao Kulkarni2 and Bantwal Hebbal Sinakatte Karthik Pai1

1 NMAM Institute of Technology, Nitte, Karnataka, India

2 CSIBER, Kolhapur, Maharastra, India

\*Address all correspondence to: sreekantha@nitte.edu.in

© 2021 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
