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Showing posts with the label data-analytics

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PowerCurve for Beginners: A Comprehensive Guide

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PowerCurve is a complete suite of decision-making solutions that help businesses make efficient, data-driven decisions. Whether you're new to PowerCurve or want to understand its core concepts, this guide will introduce you to chief features, applications, and benefits. What is PowerCurve? PowerCurve is a decision management software developed by Experian that allows organizations to automate and optimize decision-making processes. It leverages data analytics, machine learning, and business rules to provide actionable insights for risk assessment, customer management, fraud detection, and more. Key Features of PowerCurve Data Integration – PowerCurve integrates with multiple data sources, including internal databases, third-party data providers, and cloud-based platforms. Automated Decisioning – The platform automates decision-making processes based on predefined rules and predictive models. Machine Learning & AI – PowerCurve utilizes advanced analytics and AI-driven models ...
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Data analyst in FMCG sector the real opportunities

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[Demand for data analytics in FMCG] Data analyst is a great demanding career in FMCG sector. The below are the key areas where data analytics can be applied in FMCG sector. There are many areas in FMCG sector one can get great insights. I have given some most useful thought that are being used in FMCG industry. The data engineer /Scientist must have great business knowledge to get true insights. However, as a software developer, this is just a working on analytics software as per guidelines prescribed by data scientists. Consumers  Business questions: Where are your consumers? Can you identify the characteristics that bond your consumers to the brands they buy? Can you segment your consumers using those characteristics and create a consumer purchase decision tree? Can you access and translate the sentiment that your customers are saying about your company, your products and your customer service? Can you share data with your retail and convenience store customers o...
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