Business intelligence data mining
New & Notable
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.
Business intelligence data mining News
-
August 02, 2019
02
Aug'19
Data ethics issues create minefields for analytics teams
Organizations have to map out ethical boundaries for data mining and analytics applications, according to participants in a roundtable discussion on data and ethics.
-
May 15, 2019
15
May'19
Qlik debuts free data literacy certification
Qlik unveiled a free data literacy certification in the hopes of making people -- both customers and non-customers -- more data literate.
-
May 13, 2019
13
May'19
Red Hat OpenShift Operators target AI, big data workloads
Speedy deployment of machine learning jobs may not arrive too soon. But container platform enhancements from Red Hat aim to quicken the uptake of such innovations.
-
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.
Business intelligence data mining Get Started
Bring yourself up to speed with our introductory content
-
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
-
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
-
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.
-
Data modeling software tackles glut of new data sources
Data modeling platforms are starting to incorporate features to automate data-handling processes, but IT must still address entity resolution, data normalization and governance. Continue Reading
-
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
Manage Business intelligence data mining
Learn to apply best practices and optimize your operations.
-
6 tips for effective customer data mining
Digging into customer analytics can improve sales opportunities -- but how does an organization balance that against data privacy concerns? Get insights from data professionals. Continue Reading
-
Data modeling best practices power analytics, business apps
Data modeling is a key part of data management and analytics. This handbook highlights best practices for creating data models and new functionality in modeling tools. Continue Reading
-
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
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