Business intelligence platforms can help enterprises analyze data from various sources to inform decision-making. The six free tools highlighted here are among the best and most popular today.
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Improved customer relations, increased employee productivity, new revenue streams — big benefits await those who breathe new life into their business intelligence strategies.
Data analytics can uncover surprising insights that lead to unexpected new program or product ideas, as these six real-world examples show.
Microsoft’s Power BI service can visualize a lot more than chart data; from asking questions to analyzing the services you use, here’s how to make the most of it.
From data concerns to staffing needs to technology combinations, data analytics misconceptions abound. Here’s a no-bull look at how to leverage data science to deliver bona fide business results.
Solid business intelligence is essential to making strategic business decisions, but for many organizations, BI efforts are derailed by poor data practices, tactical mistakes and more.
Data analytics is fast becoming the key to a winning business strategy. But without the right approach, skills, and tactics, your data initiatives may never add up.
Effective data teams bring diverse, cross-functional skill sets to bear on clearly defined business priorities — without losing sight of the value of experimentation and ongoing education.
Self-service business intelligence offers many benefits, but bringing analytics and reporting closer to business units by bypassing IT can have unintended — and costly — consequences.
Knowledge and planning transforms data analytics from a "dark science" into a mainstream business tool.
BI success requires more than just a strong technology platform. It takes laser focus on processes and personnel — and a business-first approach to gaining insights from data.
Business intelligence (BI) leverages software and services to transform data into actionable intelligence that informs an organization’s strategic and tactical business decisions.
Big data, machine learning, data science — the data analytics revolution is evolving rapidly. Keep your BA/BI pros and data scientists ahead of the curve with the latest technologies and strategies for data analysis.
Micron overhauled its data management strategy, embedding crack teams of data scientists within an array of business units. Here’s how that centralized strategy has delivered impressive results.
For the last decade, Greg Boorer has not had a lot of sleep.
Out in mining country the distances are long and the reception is lousy. It’s the last place you’d want a bus carrying a service crew to breakdown.
The new Databricks for Data Engineering edition of the Apache Spark-based cloud platform is optimized for combining SQL, structured streaming, ETL and machine learning workloads running on Spark.
By automating costly and time-consuming data engineering tasks associated with business intelligence on Hadoop, Jethro aims to accelerate BI queries.
The cloud provider unveils a big data platform as a service (PaaS) offering built on the MapR Converged Data Platform.
IBM has unveiled IBM Machine Learning, a new cognitive platform that brings the power of machine learning to z System mainframes and eventually IBM POWER System.
Rather than the tendency to view AI as a threat that can eliminate the need for human input and employment, some argue technology can assist and enhance business processes and digital marketing efforts.