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How to merge in R
See how to merge data in R three different ways: with base R’s merge function, dplyr’s family of join functions, and the data.table package.
AI in retail: Survival depends on getting smart
Machine learning is fast becoming a must-have for retailers looking to stave off disruption, but the barriers to entry — upfront cost and data prep — remain an obstacle for most.
The big picture from Tableau Conference 2019
More AI, more preparation, more cloud integration were the key takeaways from the analytics platform maker’s annual event.
CDO resumes: 4 tips for landing a chief data officer role
Chief data officers are on the rise as businesses embrace data-driven strategies. But you’ll want to follow these four tips to write the perfect CDO resume to get the job.
7 ways IT can help cut friction from the customer experience
Top-notch CX is a digital business imperative. Here’s how to ensure your organization’s customer and client experience is hassle-free.
![businessman tablet mobile collaboration tools dashboard [Olu Eletu - CC0 via Unsplash]](https://images.idgesg.net/images/article/2017/10/businessman_tablet_mobile_collaboration_tools_dashboard_olu_eletu_cc0_via_unsplash-100738958-small.3x2.jpg)
How analytics help justify the role of the CIO
CIOs require unified intelligence for data-driven insights leading to actionable organizational decision making.
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How to use the dtplyr package
The dtplyr 1.0 package lets you write dplyr R code and access speedy data.table performance. Find out how
Microsoft shows off hybrid cloud management and cloud analytics tools at Ignite
Enterprises will soon have access to Azure Arc and Azure Synapse Analytics, two new services that bolster Microsoft’s cloud offerings.
The chief data officer: The CIO’s newest ally
As organizations shift to data-driven strategies, the CDO role is rising. But to succeed as an entity, the CIO and CDO must work in concert — with clear delineations in responsibilities.
Data preparation tools: Your analytics strategy’s secret weapon
Data preparation is frequently cited as the leading roadblock to leveraging data within an organization. Getting the right tool for your organization can help you breakthrough.
LinkedIn Talent Solutions: 10 tips for hiring your perfect match
Looking for the perfect candidate? LinkedIn Talent Solutions offers powerful tools and services for leveraging real-time data and machine learning to find your match.
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R data.table in 5 minutes
Get a quick look at the R data.table package in this 5-minute tutorial that gives a sample of the package’s speed and power.
Ticketmaster tackles tech debt with streaming data platform
Online box office takes data science enterprise-wide without rewriting all its code.
What is decision science? Transforming decision-making with data
Decision science is one of the most interesting areas of data science for businesses but it needs to be part of the data science ecosystem your organization builds.
To kick-start AI projects, think "minimum viable intelligence"
AI systems don't need to be perfect to be put into production. They just need to be better than humans.
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How to export to Excel with R
See how to save a data frame from R to Excel – with styling or multiple tabs.
What is a data analyst? A key role for data-driven business decisions
Data analysts help organizations understand the current state of the business by interpreting a wide range of data.
Explainable AI: Bringing trust to business AI adoption
For many organizations, AI remains a mystery not to be trusted in production, thanks to its lack of transparency. But demand, advances, and emerging standards may soon change all that.
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