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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). It is frequently used for risk analysis.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

By leveraging advanced analytics capabilities, businesses can uncover hidden opportunities and potential risks within their datasets, allowing them to proactively address challenges and capitalize on emerging trends.

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What is SVM Classification Analysis and How Can It Benefit Business Analytics?

Smarten

How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Fraud Analysis – Based on various bills submitted for employee reimbursement for food, travel, medical expenses etc., Use Case – 1. Use Case – 2.

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Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide

datapine

We have written about management reporting methods that can be utilized in the modern practice of creating powerful analysis, bringing complex data into simple visuals, and employ them to make actionable decisions. Your Chance: Want to visualize & track operational metrics with ease? How To Select Operational Metrics And KPIs?

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Typically, quantitative data is measured by visually presenting correlation tests between two or more variables of significance.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts. They analyze, interpret, and manipulate complex data, track key performance indicators, and present insights to management through reports and visualizations.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.