Analytics

Analytics | News, how-tos, features, reviews, and videos

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Network World: Edge, Intent-based networking are all the rage; IT networking budgets rise

Network World 8th annual State of the Network survey looks at high-priority SDN, IBN, SD-WAN, network-security trends.

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What is a data engineer? An analytics role in high demand

Data engineers are vital members of any enterprise data analytics team, responsible for managing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization.

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R tip: Create maps in R

In this seventh episode of Do More with R, learn how to create maps in R—it’s easier than you think, thanks to new and updated packages like sf, tmap, and ggplot2

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8 technologies driving health care M&As

Forty-eight percent of respondents to a West Monroe survey cited using technology to disrupt incumbents as one of their top drivers for making health care acquisitions. Here’s a look at what they’re buying.

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R tip: Iterate with purrr's map_df function

In this sixth episode of Do More with R, learn how to apply a function to a vector of values and return a data frame

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What is data science? A method for turning data into value

Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.

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What is Julia? A fresh approach to numerical computing

A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language

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9 ways to get more value from business intelligence in 2018

Improved customer relations, increased employee productivity, new revenue streams — big benefits await those who breathe new life into their business intelligence strategies.

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Cisco's buying July Systems to bolster its Wi-Fi application options

Cisco says July Systems offers an enterprise-grade wireless location platform with features such as instant customer activation, data-driven behavioral insights, contextual rules engine and APIs.

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What is TensorFlow? The machine learning library explained

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier

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Redis 5.0 introduces streams for in-memory abstract types

Redis's builders are calling streams the most complex type in the platform even if the data structure itself is simple

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What is a data scientist? A key data analytics role and a lucrative career

Data scientists uncover insights from massive amounts of data to help shape or meet business goals. The data scientist role is becoming increasingly important as businesses rely on data analytics to drive decision-making. Here are the...

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R tip: Learn dplyr’s case_when() function

In this second episode of Do More with R, Sharon Machlis, director of Editorial Data & Analytics at IDG Communications, shows how dplyr's case_when() function helps avoid a lot of nested ifelse statements

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What is predictive analytics? Transforming data into future insights

Predictive analytics can help your organization forecast future outcomes based on historical data and analytics techniques such as machine learning.

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R tip: How to create easy interactive scatter plots with taucharts

In this first episode of Do More with R, Sharon Machlis, director of Editorial Data & Analytics at IDG Communications, demonstrates how easy it is to use the R language to create an interactive scatter plot with multiple trendline...

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10 boot camps for business analysts

Business analysts are vital to organizations that want to make the most of their data. Here are 10 boot camps to help you become a business analyst or advance your career in business analytics.

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The biggest security startup deals of 2018 (so far)

Recent VC investment in cybersecurity has tended to favor companies applying machine learning techniques to security problems. Here are some of the largest dealmakers that will be bringing you the next wave of security technology.

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Best free data analytics tools, 2018

Data analytics software doesn’t have to cost a lot to be effective. These free tools can help businesses uncover new insights and draw valuable predictions from various data sources.

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