The use of AI in business analytics has allowed modern automation in the process of data discovery. The outcome is AI analytics that does the data analyst’s task without the same human constraints.  Recently, AI-driven analytics has developed fast, powered by advancements in AI technologies including machine learning and natural language processing. OpenAI, a top AI research company, has made major evolutions in the field with the introduction of GPT-3 and GPT-4, these large language models that can produce natural language text.  Today, generative AI and AI analytics have more cali ..read more

Nowadays, almost all businesses use generative AI and large language models after realizing their ability to boost accuracy in various tasks. These AI models have become the topic of social media discussions nowadays.  This blog explores more on the business and commercial uses of LLMs and genAI along with the differences between them. Table of Contents What is Generative AI in Simple Terms? What is Generative AI vs. Normal AI? Generative AI vs. Predictive AI Is GPT a Generative AI?  What is LLM in Simple Words? How Do Large Language Models (LLMs) Work? What is the Architecture ..read more

Earthweb’s major data creation statistics reports for 2022 state that the daily generation of data is limited to 2.5 quintillion bytes. With the development of huge amounts of data, crucial information can be accessed by many users and let them make informed decisions.  Hence, it is said that data is an integral element of almost all industries. Likewise, one such region that is growing exponentially in this world is sports analytics.   People who have a specific interest in sports broadcasting have experienced the use of statistics in the sports sector today. Countless people ..read more

In today’s digital era, the success of a brand is defined by interactions with customers. It has become a major challenge for marketers. Despite its speedy growth, it is surrounded by lost profits, wasted budgets, and poor targeting and monitoring of the operators in the ecosystem. According to studies, approx. 2% to 4% of the total campaign amount is wasted in the advertising ecosystem.  By inspecting budget allocations at each stage of the advertising campaign process, advertisers can guarantee a higher ROI and minimize revenue leakage for their campaigns. Table of Contents Analyti ..read more

In recent years, data analytics has seen exponential growth across multiple industries. The consumer goods and retail industries are among them. The implementation of data analytics in this industry is transforming the way product manufacturers operate, allowing them to make operational business decisions by looking at data-enabled insights.  Compared to different industries, the consumer goods sector invests lots of money in advertising and marketing. Advertising companies usually have a significant influence on the buying and shopping behaviors of customers, resulting in higher revenue ..read more

The challenge for today’s data-driven world is to understand the effectiveness of marketing campaigns and correctly attribute customer conversations. Matchbacks play a crucial role in this situation. However, the fact is that most direct marketers are unaware of its importance. Let’s explore matchbacks in the blog and see why they are useful for creating mail strategies and evaluating results. Matchbaccks include matching your order file with your recent mail files to attribute credit to the suitable source, keeping the client segment and each list in mind.  This applies to both the pros ..read more

In today’s digital world, data is playing a crucial role in making decisions in different sectors. One such industry that has benefited from the use of data analytics is the food and beverage industry due to the huge demand in modern society.  The food and beverage sector has undergone many changes, and as a result, all managers have decided to minimize their product size without making any changes to the price. The situation acts as the best example of the major challenges facing the food, consumer goods, and beverage sectors, which involve rapidly changing consumer trends and increasin ..read more

Recruitment has become one of the toughest, most challenging, and most time-consuming functions of HR (human resources). Finding the suitable talent for the appropriate position at the right time is very important for the success and growth of any organization.  Especially in MNCs, the challenges related to streamlining the whole talent acquisition process carefully while maintaining the goals of organizations in terms of the cost of hiring, the duration of hiring, and the quality of hires are crucial.  However, these challenges can be addressed using a few modern technologies.  ..read more

Customer Intelligence (CI) is a crucial aspect of generating sales. Without it, it’s difficult to understand the expectations of customers from your brand and which message will force them to make decisions. Fortunately, it doesn’t have to be challenging to acquire customer intelligence. In this blog, let’s explore how businesses are leveraging customer intelligence for personalized experiences. Table of Contents What do you mean by customer intelligence? What is the Objective of Customer Intelligence? What is the Difference between Business Intelligence (BI) and Customer Intelligence (CI ..read more

In 2023, the international business intelligence market size is aimed to register a value of US $28,216.8 million. It is aimed at growing to $56,200.9 million by 2023.  The market value of mobile BI is predicted to reach a CAGR of 22.43% between the forecast period of 2021 and 2026. Table of Contents Business Intelligence Definition Why Do Organizations Need BI Consulting Services? What are the 5 Stages of Business Intelligence? What is the Main Role of Business Intelligence? What is the Importance of Business Intelligence in Big Data? How Business Intelligence Works? What are the Ke ..read more