Business intelligence data mining

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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.

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Business intelligence data mining News

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.
January 31, 2020 31 Jan'20
Data wrangling software helps access, interpret relevant info

Joe Hellerstein, co-founder and CSO of data wrangling software vendor Trifacta, discussed the benefits of data wrangling and the cloud migration trend, among other topics, in a Q&A.
December 12, 2019 12 Dec'19
Government IT pros: Hiring data scientists isn't an exact science

There's no such thing as a data science unicorn, U.S. government experts caution. You'll need more than programmers and technical expertise on your data science team.
October 08, 2019 08 Oct'19
GoodData BI customers now able to use data on Amazon Redshift

GoodData partners with Amazon Web Services to allow the vendor's users to store and manage their data in Amazon Redshift, a cloud data warehouse powered by AWS.

Business intelligence data mining Get Started

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decision-making process

The decision-making process, in a business context, is a set of steps taken by managers in an enterprise to determine the planned path for business initiatives and to set specific actions in motion. Continue Reading
data scientist

A data scientist is a professional responsible for collecting, analyzing and interpreting extremely large amounts of data. The data scientist role is an offshoot of several traditional technical roles, including mathematician, scientist, ... Continue Reading
big data analytics

Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as 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.

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
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

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