Business intelligence data mining
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.
Business intelligence data mining News
-
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.
-
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.
-
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.
-
November 06, 2017
06
Nov'17
Power BI updates drive Microsoft's latest hybrid cloud efforts
At PASS Summit 2017, Microsoft Azure's strides were measured in steps. These include Power BI updates that bring cloud reporting services down to earth.
Business intelligence data mining Get Started
Bring yourself up to speed with our introductory content
-
association rules (in data mining)
Association rules are if-then statements that help to show the probability of relationships between data items within large data sets in various types of databases. Continue Reading
-
AI for analytics augments and bolsters business intelligence
-
big data analytics
Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make... Continue Reading
Evaluate Business intelligence data mining Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
-
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
-
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
-
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.
-
UCSD graduates to advanced analytics with SAP HANA platform
The University of California, San Diego implemented an SAP HANA platform that uses advanced analytics and machine learning to run operations and help students graduate on time. Continue Reading
-
Predictive analytics projects can bolster business decisions
Blind faith in predictive models can result in flawed business decisions. Analytics teams need to manage predictive processes carefully to keep things on the right track. Continue Reading
-
Five steps to build better predictive analytics applications
Predictive analytics initiatives must be planned and managed effectively to ensure that they don't miss the mark on meeting business needs. Here's an approach to help keep them on track. 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.
-
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
-
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
-
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