Data analytics

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Free Guide: 5 Data Science Tools to Consider

With the right data science tools, you can gain powerful insight out of the ever-growing pools of corporate data. Learn why data science experts are using Python, R, Jupyter Notebook, Tableau, and Keras.

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Data analytics News

August 23, 2019 23 Aug'19
Museums and data: A powerful combination

With more and more museums using data to inform their decision-making processes, visitors are reaping the benefits by enjoying a better user experience.
August 21, 2019 21 Aug'19
With ThoughtSpot, GlobalTranz makes AI in logistics platform

GlobalTranz, a logistics company, uses AI and analytics in logistics to predict driver behaviors and plan shipping routes that will keep the shippers and the drivers happy.
August 20, 2019 20 Aug'19
Phocas BI tool proves its value for manufacturers, wholesalers

With its focus on the manufacturing and wholesale distribution industries, Phocas Software has carved out a niche for itself among other BI software vendors.
August 16, 2019 16 Aug'19
The Salesforce acquisition of Tableau complements Einstein Analytics

Given the different strengths of Salesforce's Einstein Analytics platform and Tableau, the BI tools could prove complementary now that Tableau is part of Salesforce.

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Data analytics Get Started

Bring yourself up to speed with our introductory content

5 augmented analytics examples in the enterprise

Here are the top examples of augmented analytics uses that BI vendors support and enable, including data preparation, NLP-based querying and automated insights. Continue Reading
people analytics (HR analytics)

People analytics, also known as human resource (HR) analytics and talent analytics, is a form of big data that applies math, statistics and modeling to worker-related data to see and predict patterns. Continue Reading
Hadoop

Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. Continue Reading

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Evaluate Data analytics Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

What's behind the Domo machine learning tool Did You Know

Domo's Did You Know feature uses machine learning algorithms to automatically pull analytics information out of data sets for business users. Here's how it works. Continue Reading
Machine learning platform architecture demands deep analysis

This handbook offers advice on choosing machine learning platforms and using them to get accurate and meaningful information from analytics applications. Continue Reading
More to machine learning platforms than meets the AI

To reach full analytics potential, machine learning platforms powered by AI must provide scalability, handle multiple models, integrate with data sources and be cloud-friendly. Continue Reading

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Manage Data analytics

Learn to apply best practices and optimize your operations.

GDPR, AI intensify privacy and data protection compliance demands

This guide covers the challenges data management teams face on data protection and privacy, particularly with the rise of GDPR and similar laws and the growing use of AI tools. Continue Reading
How to navigate today's business analytics governance challenges

Don't let a traditional analytics mindset lure you into complacency when it comes to advanced analytics governance. Here are the biggest governance roadblocks and how to avoid them. Continue Reading
Consumer behavior analytics makes the unpredictable predictable

With AI's arsenal of machine learning, deep learning and NLP, consumer analytics can take some of the unpredictability out of predicting buying patterns and up conversion rates. Continue Reading

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Problem Solve Data analytics Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

March Madness analytics, AI help data scientist fill bracket

To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics. Continue Reading
What data management challenges do analytics programs face?

Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading
Convert unstructured data to structured data with machine learning

With access to powerful compute power and advances in machine learning, unstructured data is becoming easier and cheaper for businesses to turn into usable sources of insight. Continue Reading

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