Data Engineering Archives - Gleecus TechLabs Inc.

6 Steps in Implementing Data Transformation in Your Organization

According to a McKinsey report— one US bank expects to see more than $400 million in savings from rationalizing its IT data assets and $2 billion in gains from additional revenues, lower capital requirements, and operational efficiencies. Data is the key to digital transformation of enterprises. Data transformation for enterprises surpasses the basics of collecting, […]

Moving Data to AWS Storage Solutions – Your Data Migration Guide

As businesses get exposed to the limitless possibilities offered by public cloud services the need for data migration grows parallelly. There can be several driving factors to this ranging from being able to get an integrated visualization on all the enterprise data to exploring state-of-the-art tools supporting particular data formats offered by public cloud providers. However, […]

How Data Analytics is Driving Innovation in the retail Sector

Retailers traditionally relied on instincts and experience to make critical decisions about inventory, pricing, and location. However, in today’s competitive market with narrow profit margins and rapidly changing consumer preferences, intuition alone is insufficient. Data analytics enhances decision-making in retail businesses by providing precise, data-driven insights. This technology helps retailers optimize their strategies, ensuring they […]

The Importance of Data Quality in Business Analytics and AI

Organizations today are heavily inclined to data for their business decisions. Yet, the distinction between good and bad data often gets blurred in the excitement to implement the latest AI and analytics tools. Data quality can be defined as the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. To […]

4 Data Analytics Types That Enhance Decision-Making

In today’s hyper-competitive business landscape, data has emerged as the most valuable asset. However, raw data alone holds limited value. To transform it into actionable insights, organizations must employ a multifaceted approach to data analytics. By understanding the various types of data analytics and their applications, businesses can make informed decisions, optimize operations, and gain […]