Data analytics as a practice is focused on using tools and techniques to explore and analyze data in real-time or near-real-time to uncover hidden patterns, correlations, and trends. The goal is predictive and prescriptive analysis, using advanced techniques to make accurate, dynamic, and forwar...
Data analytics as a process is central to an organization becoming truly data-driven. However, crafting, implementing, and running a data analytics strategy takes time and effort, and the process comes with some well-known yet formidable challenges. 1. Data quality One of the biggest challenges ...
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Big Data Analytics techniques are applied to develop a predictive model. The research method used a qualitative content analysis approach. The results of this study is a proposed model based on BDA that is applicable to agribusiness of red chili plants in Indonesia. Thus, it could be used in ...
As a partner at Ernst & Young in Germany, Thomas leads EY EMEIA Data & Analytics practice currently encompassing 2700+ professionals. He understa...
PleoData specializes in Data Centre & Facility Management, Sustainable Environmental Analytics, Assets Management, CMMS Systems, Intranets, Digitization, Data Analytics & AI Cloud Solutions
Related Topic View More Social Events Create Filter Washington DC,USA ACI is organizing the Forum on FCPA Data Analytics, providing practical guidance on data-driven compliance, monitoring, audits, and investigations. Experts will discuss leveraging AI, ML, and predictive... ...
Firman Taufik,Assistant Vice President, Information Delivery Group Getting users “addicted” to the power of data Moving forward, BNI plans to build self-service analytics capabilities across the enterprise by training more “Tableau Champions” across different divisions, eventually expanding Tableau...
Can advanced analytics help organizations make the transition to a new era of data privacy and protection?