Business intelligence data mining
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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.
Business intelligence data mining News
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April 01, 2019
01
Apr'19
Tools fill gaps in predictive modeling and machine learning
Machine learning platforms can bring the lone data scientist into the overall workflow. Updates to tooling also let that data scientist use familiar development interfaces.
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March 23, 2018
23
Mar'18
Cambridge Analytica-Facebook case shows need for ethical data mining
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
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November 21, 2017
21
Nov'17
Microsoft Azure cloud database activity takes off at Connect();
Microsoft Connect(); 2017 saw the addition of MariaDB and Cassandra to the Azure cloud database lineup. Also discussed: A set of Spark-based analytics services called Azure Databricks.
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November 09, 2017
09
Nov'17
Microsoft boosts SQL Server machine learning services
Python and R are among the tools in the SQL Server machine learning toolkit. Native T-SQL scoring is also on the agenda, as uncovered at PASS Summit 2017.
Business intelligence data mining Get Started
Bring yourself up to speed with our introductory content
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Data-rich organizations turn focus to ethical data mining
As data analytics have increasingly become a core component of organizations' strategies, concerns have arisen around how data is mined. Experts offer tips. Continue Reading
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sentiment analysis (opinion mining)
Sentiment analysis, also referred to as opinion mining, is an approach to natural language processing (NLP) that identifies the emotional tone behind a body of text. Continue Reading
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data mining
Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Continue Reading
Evaluate Business intelligence data mining Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Augmented analytics reveals the hidden side of things
The rise of augmented analytics empowers businesses to find correlations in data that might very well be the critical difference in operational efficiency and cost savings. Continue Reading
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Data scientist vs. business analyst: What's the difference?
Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there. Continue Reading
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Exploring Microsoft R Open, R Server for advanced analytics
Learn about the features and components of the Microsoft R family of predictive analytics tools, which includes Microsoft R Open, Microsoft R Client and Microsoft R Server. Continue Reading
Manage Business intelligence data mining
Learn to apply best practices and optimize your operations.
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3 best practices for harnessing social media analytics data
How can organizations leverage social media analytics data? Analytics professionals offer tips, starting with picking metrics that track to your goals. 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
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Why data literacy skills still matter with augmented analytics
Democratizing data analytics gives everyone access to tools and information, but data literacy is still required for analyzing data and delivering successful outcomes. Continue Reading
Problem Solve Business intelligence data mining 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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Apply data science models effectively, not just for their own sake
Having data scientists build analytical models doesn't do much for an organization if the models don't help generate business benefits. Here are some ways to make sure they do. Continue Reading
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Advanced analytics tools extract business value from big data
Big data environments based on technologies such as Hadoop and Spark are being deployed more widely -- and the same goes for advanced analytics tools that can help organizations make effective use of the data flooding into those systems. In fact, ... Continue Reading
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LBS technology expands customer service, business operations
Many modern consumers and workers are always tuned-in to the digital world. They have laptops, tablets and smartphones that chirp and beep away with incoming messages. Those devices are also sending out information -- tweets and texts, yes -- but ... Continue Reading