Business intelligence data mining

New & Notable

Download this free guide

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.

Corporate E-mail Address:
You forgot to provide an Email Address.
This email address doesn’t appear to be valid.
This email address is already registered. Please login.
You have exceeded the maximum character limit.
Please provide a Corporate E-mail Address.
- I agree to TechTarget’s Terms of Use, Privacy Policy, and the transfer of my information to the United States for processing to provide me with relevant information as described in our Privacy Policy.
Please check the box if you want to proceed.
- I agree to my information being processed by TechTarget and its Partners to contact me via phone, email, or other means regarding information relevant to my professional interests. I may unsubscribe at any time.
Please check the box if you want to proceed.

Business intelligence data mining News

September 16, 2020 16 Sep'20
Miscues in 2016 inform presidential polling data in 2020

Polls and predictive analytics models are improved in 2020 after the failure to accurately predict the outcome of the 2016 election, but surprises still may loom.
August 21, 2020 21 Aug'20
Customer location data leads to deeper level of insight

Behavioral analytics tell more about a person's true self than consumer data, according to Gravy Analytics CEO Jeff White, and are therefore key to data-driven decisions.
June 04, 2020 04 Jun'20
2020 census data collection being affected by COVID-19

The COVID-19 crisis could hurt the 2020 census by making it impossible for the Census Bureau to collect data by going door-to-door.
January 31, 2020 31 Jan'20
Data confidence a problem data wrangling aims to resolve

Joe Hellerstein, co-founder and CSO of Trifacta, talks about data wrangling and the ongoing trend of migration to the cloud, among other data management topics.

Business intelligence data mining Get Started

Bring yourself up to speed with our introductory content

text mining (text analytics)

Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data. 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
association rules

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

Evaluate Business intelligence data mining Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

20 top BI tools and how to choose the right one

To help you buy the right BI tool for your data analysis needs, here's a look at 20 leading technologies, the different types of BI software and key features to look for. Continue Reading
Ethical data collection in the spotlight over new regulations

New regulations have put data privacy top of mind for many consumers. Here's a look at how businesses can incorporate ethical data collection -- and even benefit from it. Continue Reading
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

Manage Business intelligence data mining

Learn to apply best practices and optimize your operations.

Data catalog best practices rely on teamwork, governance, tools

This handbook provides advice on creating data catalogs to help data analysts and other users find information in corporate systems, plus insight on data catalog trends. Continue Reading
Data catalog management for analytics fraught with unique demands

Data catalogs for analytics applications demand detailed assessment of user needs, cross-functional teams, ready access, continuous improvement and a self-sustaining system. Continue Reading
NLP makes augmented data discovery a reality in analytics

BI vendors are increasingly using NLP technology to make their products work more like a web search, with simplified user interfaces and improved ease of use for customers. 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.

Governance, compliance, ethics in data mining: Separate but equal

In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading
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