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Business intelligence data mining News

June 21, 2021 21 Jun'21
Roadmap for Collibra platform includes more speed and scale

Collibra's roadmap is focused on adding more speed, with a plan in place to quadruple the amount of data customers can access and use by the end of 2022.
June 14, 2021 14 Jun'21
Election data revolutionizes the running of campaigns

Political campaigns used to rely primarily on polls to inform decisions, but with advances in technology over the past 15 years they are now using advanced analytics techniques.
April 26, 2021 26 Apr'21
Chief data officer role key to data-driven decision-making

Though the first CDO was hired nearly 20 years ago, many organizations are only now beginning to realize the value of data and seek someone to oversee their data operations.
April 07, 2021 07 Apr'21
Trifacta unveils new integrations to enable data wrangling

Trifacta on Wednesday unveiled an updated tool to enable customers to work with their directly in Google BigQuery along with two new integrations designed to improve data preparation.

Bring yourself up to speed with our introductory content

data exploration

Data exploration is the first step in data analysis involving the use of data visualization tools and statistical techniques to uncover data set characteristics and initial patterns. Continue Reading
ad hoc analysis

Ad hoc analysis is a business intelligence (BI) process designed to answer specific business questions by using company data from various sources. A report helps stakeholders assess an event and formulate actionable next steps. Continue Reading
unstructured data

Unstructured data is information, in many different forms, that doesn't follow conventional data models, making it difficult to store and manage in a mainstream relational database. Continue Reading

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

15 data science tools to consider using in 2021

Numerous tools are available for data science applications. Read about 15, including their features, capabilities and uses, to see if they fit your analytics needs. Continue Reading
8 top data science applications and use cases for businesses

Data scientists engage in various applications to analyze data and create technologies. These are eight common ones, with examples from different organizations and industries. Continue Reading
How to structure and manage a data science team

Data science teams typically include various analytics and data professionals and can be set up in different ways, as explained here along with tips on managing them. Continue Reading

Learn to apply best practices and optimize your operations.

The data science process: 6 key steps on analytics applications

The data science process includes a set of steps that data scientists take to gather, prepare and analyze data and present the analytics results to business users. Continue Reading
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

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