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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?

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The Five Use Cases in Data Observability: Mastering Data Production

DataKitchen

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. Do I Have A Troublesome Data Supplier?

Testing 124
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Unveiling the Top 10 Data Visualization Companies of 2024

FineReport

Let’s explore how top companies in this field are revolutionizing the way data is presented and understood. Importance of Data Visualization Enhancing Decision-Making Empowering decision-makers with real-time visualizations enhances their ability to grasp critical information swiftly.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. IoT and its applications.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Data Platforms. Deep Learning.

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Business Intelligence and Analytics: Definitive Guide

FineReport

Business intelligence and analytics (BI&A) and the related field of big data analytics have emerged as an increasingly important area in the business communities. Note: the reports and dashboards samples used here are made with FineReport. Business Analytics. Interative Report (by FineReport).

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Financial planning & budgeting: Navigating the Budgeting Paradox

IBM Big Data Hub

Budgeting, an essential pillar of financial planning for organizations, often presents a unique dilemma known as the “Budgeting Paradox.” This data helps us understand earlier trends and is vital for making a realistic budget. How can technology help with the Budgeting Paradox?