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Business intelligence data mining News

September 22, 2021 22 Sep'21
Modern data strategy includes cloud, domain federation

Analytics strategies should include overarching organizational best practices blended with teams empowered to build interoperable data assets, according to one industry expert.
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.

Bring yourself up to speed with our introductory content

big data analytics

Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions. 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 science as a service (DSaaS)

Data science as a service (DSaaS) is a form of outsourcing that involves the delivery of information gleaned from advanced analytics applications run by data scientists at an outside company to corporate clients for their business use. Continue Reading

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What is predictive analytics? An enterprise guide

Predictive analytics is a form of advanced analytics that uses current and historical data to forecast activity, behavior and trends. Continue Reading
Benefits of predictive analytics for businesses

Predictive analytics' ability to forecast the future based on patterns in past data can give businesses a huge edge. Read about how to use this advanced form of business analytics. Continue Reading
Descriptive vs. prescriptive vs. predictive analytics explained

Analytics provides insight into the data today's businesses run on. Learn about the three main modes -- descriptive, prescriptive and predictive analytics -- and two variants. Continue Reading

Learn to apply best practices and optimize your operations.

Data warehouses and holistic business intelligence

Data warehouses help companies gather analytics on individual systems and data for a holistic view of company performance, spot correlations and make informed decisions. Continue Reading
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

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