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6 Ways Business Intelligence is Going to Change in 2017

Dataconomy

Business Intelligence, previously known as data mining combined with analytical processing and reporting, is changing how organizations move forward. The post 6 Ways Business Intelligence is Going to Change in 2017 appeared first on Dataconomy.

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Augmented analytics

Dataconomy

On the other hand, natural language processing facilitates interactions with data through familiar language, making it easier for users without extensive technical backgrounds to engage with complex datasets.

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Tableau partners with the government of India to build students’ data skills

Tableau

Our mission is to lower the barrier of entry to learning analytics and build data literacy skills in future generations. . Data skills are also interdisciplinary. When I first joined the Tableau Academic Programs Team in 2017, many professors would refer me to their Computer Science or Statistics department.

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Introduction

Towards AI

Average Price by Town — Image by Author Monthly Average Price Since our main goal in this blog is to showcase how time-series analysis can enhance regression models, it is imperative to show the time-series aspect of the data visualizations. Therefore, below is the monthly average price of HDB flats from January 2017 to August 2023.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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How to Spot Misleading Charts, a Checklist

Tableau

Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. Two line graphs showing the same data with different intervals on the axis. Know the Source.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.