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Category: Data Analytics

Embracing the New Era in Manufacturing With AI and Big Data

Embracing the New Era in Manufacturing With AI and Big Data

While the desire to digitally change manufacturing has been argued for over a decade, recent events have only enhanced demand for the agility, scalability, and resilience that Industry 4.0 and smart manufacturing capabilities can give. Industry 4.0 is transforming how companies produce, improve, and distribute their products. As the digital transformation advances, manufacturers will have access to an increasing number of new tools and business intelligence solutions, giving them a range of competitive advantages. By 2025, the global big data…

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The power of Predictive Analysis: Sailing through the rough seas!

The power of Predictive Analysis: Sailing through the rough seas!

A single person creates approximately 1.6MB per second! It is not a surprise that we create enormous data as our dependency on “smart” products is at an all-time high. The purpose of smart products is to generate, understand, analyze, accumulate, and store user data to help serve the customer better. Technologies like swarm learning are enabling IoT devices to become smarter than ever! User data helps businesses to understand more about the customers, but there is a flip side to…

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Data Mining in Healthcare: Benefits, Techniques, and Prospects

Data Mining in Healthcare: Benefits, Techniques, and Prospects

 Data Mining is one of the most versatile techniques that have received a warm response in Government, Healthcare, Enterprises and private Organizations. It is mainly used for interpreting big data and analytics for smoothening the workflow at hospital management by helping doctors and nurses serve better to their patients. Data Mining can benefit surgeons to analyse large volumes of datasets and gain the relevant insights to perform the operation task more accurately and at great precision. Moreover, in U.S…

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Data Lakes and the data lake market: the what, why and how

Data Lakes and the data lake market: the what, why and how

 Data lakes are the assets that are used in Data Analytics. To make big data succeed, a business needs a couple of things: Knowing what actionable data you need for your desired outcomes and getting the right data to analyze and leverage in order to achieve those outcomes.         However, as the data is coming from ever more sources and in different forms & shapes. This volume of data nor the variety and so forth are about to decline any…

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How Master Data Management helps to manage critical organizational data?

How Master Data Management helps to manage critical organizational data?

 It is extremely important to deal with data associated with every business process. Wrong data can ruin the entire process, as well as the business decisions, are based on them. Data inaccuracy can result in issues with decision-making abilities, which impacts business growth and the ability to offer superior customer satisfaction. In this blog, we have discussed, the importance of data management in managing organizational data for businesses. What is Master Data? A report from Gartner defines master data…

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Emerging Technology Trends to be noted for the Logistics Industry in 2021!

Emerging Technology Trends to be noted for the Logistics Industry in 2021!

 The logistics industry has been the most profitable business in recent years. Due to the increased demand and raise in population, the E-Commerce & Supply Chain industry is reaping profits. However, this is considered as the most competitive and challenging business across the globe. Since manual processes are not going to help manage the huge volumes of data, one should have streamlined business flow and come up with unique business strategies to cope up with the current trends. Additionally,…

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How Legacy Applications are working in Data-Driven Industry?

How Legacy Applications are working in Data-Driven Industry?

 In general, business that give way for the inclination of digital transformation therein achieves greater control over its processes, and with high flexibility offered across IT Systems, a lot of digital transformation companies can now any time move ahead to build the smart strategy to stay ahead in the competition. However, the infinite proliferation of new technologies has resulted in inducing both the software development companies and software engineers to believe that these applications would soon have an update…

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