Analytics

Analytics news, information, and how-to advice

Digital explosion of data and numbers

How to bring BI and analytics to modern nested data structures

Nested data structures are a boon to modeling, storage, and query performance, but pose challenges to traditional BI tools. Here’s how to overcome them

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The wonders of AI—or the shortcomings of search?

Thus far, the case for AI seems to mainly center on how it is taking search to the next level

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How to choose the right NoSQL database

NoSQL databases vary in architecture and function, so you need to pick the type that is best for the desired task

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Big data analytics: The cloud-fueled shift now under way

Public clouds are the future of enterprise big data analytics, and their use is creating the unified platform needed to fully gain its value

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R tutorial: How to reshape data in R

This book excerpt from “R for Everyone” details the methods in the R programming language to prepare your data for analysis

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Adding speed and scalability to existing applications with in-memory data grids

Powering data-intensive and time-sensitive applications with in-memory data grids (IMDGs)

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Machine learning: What developers and business analysts need to know

There is more to a successful application of machine learning than data science

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Translytical has become synonymous with real-time

Determine if your organization is combining the three principles of translytics to overcome the speed and scale challenges of today’s data-driven enterprise

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PyTorch tutorial: Get started with deep learning in Python

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library

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Introduction to Learning to Rank (LTR) search analysis

The technique can fix search results based on user preferences or implicit behavior

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Data literacy: What it means and why it’s essential for your business

Putting data in the hands of a few experts is a powerful thing, but making it available throughout an organization can be a game-changer

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Insights-as-a-service: Giving companies a fast lane to data-driven action

If today data is king, then IaaS is fast emerging as the contractual chief adviser, helping to inform business decisions based on data-driven points of knowledge, predictions analytics, and insights

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What if the LOB followed the right analytics strategy?

Part of that strategy means the business users will need to be tempered by people who understand the analytics tools and processes, and who know how to optimize their use

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Visual Studio Code joins the Anaconda Python data science toolkit

Microsoft’s Anaconda support is the next step in its open source analytics expansion

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Think every business should become a software business? Think again

Rather than view themselves as software companies, organizations need to think of themselves as data companies

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The marvels of an event-based schema

When working with various data types at the speed of big data, this method is ideal for integrating and aggregating assorted information for the holistic value it provides

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Unlocking the power of today’s big data through governance

Contrary to what some believe, data governance isn’t about creating a veil of secrecy around data

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Artificial general intelligence (AGI): The steps to true AI

Early AI research tackled the challenge the wrong way, but there’s now progress around machine intuition, unsupervised learning, and creativity

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7 essential technologies for a modern data architecture

These key technologies are “re-platforming” the enterprise to enable faster, easier, more flexible access to large volumes of precious data

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3 things CDAOs should do to fully understand and embrace the magnitude of their job

What should chief data and analytics officers do to substantiate their roles and deliver on the long-term goals they’ve been signed up to accomplish?

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