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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics? Data analytics methods and techniques.

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

FineReport

Data Analyst Job Description Data analysts play a crucial role in extracting actionable insights from diverse data sources, aiding businesses in cost reduction and revenue growth. These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Today, by sticking to such traditional methods, they are missing out on a great opportunity.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Big Data Tools are essential in managing and processing large data sets. The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.”

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Today, by sticking to such traditional methods, they are missing out on a great opportunity.

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Alation Connected Sheets Brings Trust to Spreadsheets

Alation

Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Sales operations rely on spreadsheets for forecasting and resource planning. The risk of using untrusted data in spreadsheets is significant when you consider how many serious decisions are based upon them.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Many enterprise organizations with sophisticated data practices place those kinds of decisions on data science team leads rather than the executives or product managers. Clearly in these situations, becoming model-driven addresses an existential risk and that’s the point Nick Elprin made in his keynote. Because of compliance.