research-analysis 
Analytics Vidhya
MAY 15, 2024
For many uses, such as competitive analysis, market research, and basic data collection for analysis, efficiently extracting data from websites is crucial. Introduction The availability of information is vital in today’s data-driven environment.
Analytics Vidhya
JANUARY 25, 2024
Introduction In the area of academic research, the journey from raw data to insightful conclusions can be daunting if you’re a beginner or novice. In this guide, we will walk you through a typical academic data analysis workflow, […] The post Guide to Academic Data Analysis With Julius AI appeared first on Analytics Vidhya.
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Analytics Vidhya
NOVEMBER 2, 2023
Introduction Statistical analysis means investigating trends, patterns, and relationships using quantitative data. It is a crucial research tool used by scientists, governments, businesses, and other organizations. To draw valid results, statistical analysis requires planning from the start of the research process.
Analytics Vidhya
JANUARY 4, 2024
In a recent milestone, Waymo’s autonomous driving technology has showcased its prowess, outperforming human benchmarks in a safety analysis. Here are the […] The post Waymo’s Autonomous Driving Safer than Human Drivers, Research Shows appeared first on Analytics Vidhya.
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
Analytics Vidhya
MARCH 5, 2024
It covers planning your business, identifying your niche, market research, and understanding the Business Model Canvas. It also explores how ChatGPT can enhance customer service, content creation, and data analysis.
Analytics Vidhya
JULY 31, 2022
Introduction to EDA The main objective of this article is to cover the steps involved in Data pre-processing, Feature Engineering, and different stages of Exploratory Data Analysis, which is an essential step in any research analysis. Data pre-processing, Feature Engineering, and EDA are fundamental early […].
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Product managers need to research and recognize their end users' data literacy when building an application with analytic features. Data aware: Users can combine past experiences, intuition, judgment, and qualitative inputs and data analysis to make decisions. Otherwise, it can lead to a low adoption rate and a poor product experience.
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