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The Data Science Trends for Businesses in 2023


The Data Science Trends for Businesses in 2023

In the era of technology, data has become a critical factor in business. This is in line with the abundance of information that can be captured from various sources and the increasing sophistication of the technology used to extract insights. According to Forbes magazine, businesses are shifting towards data-based and data science-based business models, meaning that decisions are made based on what is known to be true rather than intuition. This is a result of the digital transformation wave that is sweeping through every industry in 2023 and beyond.

As new technologies continue to emerge, they offer access to faster and more accurate insights. The development of technology has resulted in new trends that give us fresh ideas on how to best implement data science across all businesses and society as a whole. In early 2023, Forbes released the most important trends that will influence companies to use data and analytics to drive business growth in 2023. What are these trends? Let's take a brief look at them below.

1. Data Democratization One of the most important trends is the sustainable empowerment of data engineers and data scientists to make their analyses function as intended. This will encourage new forms of augmented working, where tools, applications, and software are used to deliver smart insights to all stakeholders more effectively and efficiently. In 2023, businesses will begin to understand that data is the key to understanding consumers, developing better products and services, and streamlining their internal operations to reduce costs and waste.

Some best practices for data democratization include lawyers using natural language processing (NLP) tools to scan legal case documents or retail sales assistants using fingerprint technology to access real-time customer purchase history and recommend suitable products. Research by McKinsey shows that companies that make data accessible to their entire workforce state that their analyses have a positive impact and provide 40 times more revenue opportunities.

2. Artificial Intelligence Artificial intelligence (AI) is one of the technological trends that will have the biggest impact on the way we live, work, and do business in the future. Its effect on business analysis is to provide more accurate predictions, reduce the amount of time spent on routine tasks such as data collection and data cleansing, and empower employees to act based on data-driven insights, regardless of their role and level.

3. Cloud and Data-as-a-Service Cloud is a platform that enables data-as-a-service technology to work. This means that companies can access third-party-curated data sources through cloud services with pay-as-you-go or subscription-based billing models. This will reduce the need for companies to build expensive data collection and storage systems for various applications. This is related to the proliferation of DaaS companies that offer analysis tools as a service. Data accessed through DaaS is usually used to supplement the company's own collected and processed data to create richer and more valuable insights. The market value of this service is expected to grow to $10.7 billion in 2023.

4. Real-Time Data When digging for insights, it is better to find information that is currently happening rather than what happened yesterday or last week. This is why real-time data has become an increasingly valuable source of information for businesses. Working with real-time data often requires more advanced infrastructure and tools, which can be expensive, but the output will also be more powerful and impactful. For example, social media sites such as Facebook analyze hundreds of gigabytes of data per second for various cases, such as displaying ads and preventing the spread of fake news, which greatly assists users in socializing online.

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