By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
Business intelligence data mining News
May 23, 2017
Hiring a data scientist is hard enough given the shortage of candidates, but the subtle mix of skills required by the job can make hiring one even harder.
May 18, 2017
Deep learning may share some characteristics of traditional machine learning, but experienced users say it's really in a class by itself when it comes to model design and output.
March 08, 2017
Data scientists at companies such as LinkedIn and Cisco are applying aspects of the scientific method to data mining and analysis initiatives to try to make sure they get valid results.
February 28, 2017
Data science teams face a mix of process and cultural challenges in organizations, according to experienced analytics managers who offer advice on how to overcome the hurdles.
Business intelligence data mining Get Started
Bring yourself up to speed with our introductory content
Ad hoc analysis is the term commonly used in businesses to describe a product (analytical report, statistical analysis or model, or other report or summary of data) produced one time to answer a single, specific business question. Continue Reading
A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals. Continue Reading
Machine learning tools are becoming a more common component of advanced analytics applications, especially in big data environments. But they have to be focused on real business issues. Continue Reading
Evaluate Business intelligence data mining Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
The Teradata Aster Analytics platform includes the Aster Database, Aster SNAP Framework, Aster R, SQL-MapReduce framework, SQL-GR and the Aster Analytics Portfolio. Continue Reading
The IBM SPSS Modeler and IBM SPSS Statistics predictive analytics tools help users and data analysts build predictive models and manage the analytics process. Continue Reading
Consultant David Loshin explains some widely used data analytics and machine learning techniques and details how the associated automated algorithms work. Continue Reading
Manage Business intelligence data mining
Learn to apply best practices and optimize your operations.
More data almost always makes deep learning projects more effective. One data science manager says there's essentially no limit to the amount of data he wants to have access to for his team's projects. Continue Reading
Experienced users of machine learning tools share how their organizations are using the technology to solve a variety of analytics problems in their businesses and for customers. Continue Reading
In this episode of the Talking Data podcast, find out how data science teams at Cisco and LinkedIn navigate the process of doing advanced analytics work in an accessible way. 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.
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
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
The piles of data gathered from business intelligence and analytics tools is of little use to BI, data management and IT teams if they don't have a good way to visualize the data. To put data to effective use, IT teams need to construct an ... Continue Reading