Data analytics
New & Notable
BI Self-Service Tool Comparison
What’s the difference between Tableau and Qlik Sense? Designed exclusively for decision makers like you, this expert guide explores the pros and cons of both tools. Learn how they compare in 4 critical categories.
Data analytics News
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February 14, 2019
14
Feb'19
IBM Watson OpenScale: AI control, monitoring for any cloud
OpenScale, a new IBM AI product, enables organizations to monitor their AI models. Global services provider KPMG is using OpenScale to help power its own AI monitoring tool.
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February 14, 2019
14
Feb'19
Originators form group to boost Presto SQL query engine
The Presto engine arose as an alternative to Hive for big data queries. Now, the Presto Software Foundation has formed to promote the SQL query software's virtues.
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February 13, 2019
13
Feb'19
Tableau Ask Data gives BI users simple NLP data query tool
Tableau's new Ask Data software uses natural language processing to enable users of any skill level to more easily search for data insights by typing text queries.
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February 11, 2019
11
Feb'19
Web integration platform eases way to machine learning models
StoryFit data scientists employ machine learning algorithms to gauge film script scenarios' prospects. They use Import.io tools to make data preparation easier.
Data analytics Get Started
Bring yourself up to speed with our introductory content
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Avoid turbulence when shifting to data analytics in the cloud
When migrating BI and data analytics to the cloud, factor existing analytics processes, software evaluation, data protection and cost controls into a thoughtful plan of action. Continue Reading
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How to build better conversational AI bots for business uses
Conversational AI developers from Google, Uber and Autodesk detail dos and don'ts for designing chatbots and AI assistants that can interact effectively with users. Continue Reading
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data analytics (DA)
Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Continue Reading
Evaluate Data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Upswing in cloud business intelligence spawns migration issues
More organizations are looking to run BI and analytics applications in the cloud. This handbook offers insights into moving on-premises BI systems to cloud environments. Continue Reading
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IBM Think 2019 coverage: Spotlight on data and AI analytics
This guide compiles news, analysis and trend stories from IBM Think 2019 and before the conference, focusing on IBM's AI, advanced analytics and data management technologies. Continue Reading
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AI regulation stirs as unrestricted AI booms in China
Governments need to start regulating AI as the technology advances, experts say in part one of a three-part series on AI ethics issues around regulation, control and bias. Continue Reading
Manage Data analytics
Learn to apply best practices and optimize your operations.
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Information Builders CEO on cloud-first approach, machine learning
Information Builders' new CEO, Frank Vella, said the company's focus on cloud and machine learning will help it solidify a firm position in today's BI and analytics market. Continue Reading
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5 best practices for managing real-time data integration
Real-time data integration isn't like traditional data integration -- "it's moving, it's dirty and it's temporal," cautions one data pro. Experts offer up some best practices. Continue Reading
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Better sentiment analysis can bolster customer data analytics
Customer data analytics are easy to gather in the social media era -- but they can be misleading if based on sentiment analysis culled from automated social media monitoring. 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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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
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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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The threats of AI must be taken seriously to prevent harm
The risks of AI use are growing as the technology becomes more pervasive. Rather than laugh off the threats, businesses should move to mitigate them before they become headaches. Continue Reading