*1.3.1 BDI process types*

*Data Integrity and Quality*

and 27% bandwidth costs reduction year after year. The major challenges faced in BDI processing are data selection, gathering, storing, communication, searching,

The efficiency in handling big data drives effective decision making. The advancement in computing infrastructures, algorithms and innovative technologies have boosted the big data management and analytics domain and reduced the

The business experts have agreed that big data would mean big value. The digital transformation of business operations is enhancing customer experience and reducing costs. Consumers would like to access personalized data and carry out business on the go. Online processing of bigdata using analytical platforms in the organizations can make the information accurate, standardized, and actionable. Acquiring insights from big data leverage the companies to make more informed business decisions with improved efficiency, and to design more BDI applications. The revolution in computing and digitalization has also increased the potential of cyber-attacks. The cyber threats by hackers are ever increasing and becoming more and more complex day by day. ML and DL techniques have been significantly applied to design intelligent and secure BDI solutions for automating business processes. ML projects are receiving the maximum funding since 2019, compared to all other AI projects combined. Walmart corporation has implemented BDI solutions for acquiring business intelligence and taking real-time business decisions. Many leading fast-food based companies such as McDonald's, KFC, Pizzahut are using BDI solutions for designing their marketing strategies to discover the hanging business trends. The Casinos are also utilizing the BDI solutions to enhance their revenues in the recent years and to attract and inspire customers for regular visits. The hotel industry uses BDI applications to predict customer behavior, food habits and demands. Tourists today are also using digital solutions to collect information on all issues related to tourism. BDI has been applied in the healthcare industry for rendering quality healthcare services, decreasing the wastage of money and time. The governments are using BDI for developing smart city public services. BDI has empowered e-commerce industries such as Amazon, Flipkart, etc. by providing data insights and analytical reports. The integration of AI, BDI and visualization tools helped meteorologists to predict weather conditions precisely. BDI solutions have been applied successfully in modern agriculture. BDI solutions have also empowered digital marketing for the success of every business. The above facts

and applications have motivated the researchers to study the BDI in detail.

real-time data would be about 30% in global data as estimated by IDC.

According to global forecasts BDI solutions market size is estimated to reach US\$ 12.24 billion by 2022 at a Compound Annual Growth Rate (CAGR) of 13.7%. The market survey by Dresner Advisory Assc. in the year 2020 has revealed that 80% of organizations are considering BDI solutions as critical for decision-making activities and 60% of them prefer to deploy BDI solutions on cloud platforms. International Data Corporation (IDC) has predicted that the global data-sphere would be about 175 zettabytes by 2025. IDC has estimated that several billion IoT devices and embedded systems would generate, gather, communicate a wealth of IoT data and carryout analytics every day throughout the world. IDC has also predicted that by 2025 about six billion customers or 75% of the global population would be communicated by using online and real-time data every day. The share of

**1.2 International market potential**

visualization, ensuring privacy, and security of data.

investment costs to deliver the best value for businesses.

**1.1 Motivation and significance of BDI study**

**44**

BDI is the process of consolidating data from multiple applications and creating a unified view of data assets. BDI is the main component of various mission-critical data management projects, such as building an enterprise data warehouse, migrating data from one or multiple databases to another, and synchronizing data among applications. BDI directs at furnishing an integrated and consistent view of data coming from external and internal data sources.
