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.
Data analytics News
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October 17, 2019
17
Oct'19
SAS analytics platform aided by $1 billion AI investment
The SAS suite of business intelligence products is quickly seeing results from the vendor's $1 billion commitment to AI seven months after the investment was made public.
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October 15, 2019
15
Oct'19
ThoughtSpot BI platform an early adopter of AI
Due to AI, ThoughtSpot's analytics tools have been accessible to citizen data scientists from the start, Andrew Yeung, the vendor's senior director of product marketing, said in a Q&A.
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October 15, 2019
15
Oct'19
ThoughtSpot 6 advances AI power of BI platform
New augmented intelligence and machine learning tools, along with a new mobile app, highlight the release of the new update to the ThoughtSpot business intelligence platform.
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October 10, 2019
10
Oct'19
Promethium tool taps natural language processing for analytics
The software, called Data Navigation System, was designed to enable non-technical users to make complex SQL requests using plain human language and ease the delivery of data.
Data analytics Get Started
Bring yourself up to speed with our introductory content
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deep learning
Deep learning is a type of machine learning (ML) and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge. At its simplest, deep learning can be thought of as a way to automate predictive analytics. Continue Reading
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data scientist
A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, ... Continue Reading
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Neural network applications in business run wide, fast and deep
Neural network uses are starting to emerge in the enterprise. This handbook examines the growing number of businesses reporting gains from implementing this technology. Continue Reading
Evaluate Data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Deep learning and neural networks gain commercial footing
Deep learning and neural networks are picking up steam in applications like self-driving cars, radiology image processing, supply chain monitoring and cybersecurity threat detection. Continue Reading
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Data science storytelling emerges as top analytics skill
Storytelling in data science is emerging as a critical skill to have in analytics. Without it, data-driven insights have a tendency to wither on the vine. Continue Reading
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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
Manage Data analytics
Learn to apply best practices and optimize your operations.
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AI helps supply chain analytics make better predictions
IoT sensors carry more data than ever into SCM platforms, making analytics simultaneously more complicated and effective. Machine learning is the indispensable helper. Continue Reading
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Ethical data mining and analytics elude privacy, usage snafus
This handbook examines the ethics of data mining and offers advice on missteps to avoid when mining and analyzing customer data to help drive marketing campaigns. Continue Reading
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Governance, compliance, ethics in data mining: Separate but equal
In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading
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.
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7 steps to a successful data lake implementation
Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
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Storing predictive analytics data can be tricky: Avoid these 5 errors
Looking into the future is getting easier with predictive analytics, but only when your storage resources are able to meet the demanding needs of the data those tools generate. Continue Reading
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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