Analytics | News, how-tos, features, reviews, and videos
Few organizations are truly positioned to deliver on the promise of data-driven decision-making. Here’s how to tell if yours is one.
The market for data science talent is tight. To stand out, IT leaders advise establishing innovative, purpose-driven roles that ensure data scientists can thrive at your organization.
The chances are that most of the data you collect — from human communications to machine logs — is piling up with little plan for actualizing its potential. Good governance and AI can help.
Data visualization is the presentation of data in a graphical format to make it easier for decision makers to see and understand trends, outliers, and patterns in data.
Industrial companies of the future will leverage data to eliminate downtime and boost efficiencies, writes Matt Newton, Director, Artificial Intelligence and Optimization, at AVEVA.
The ongoing data scientist shortage sees enterprises reconfiguring data teams, upskilling promising employees, and partnering to improve talent pipelines.
Putting data and visualization tools in the hands of business people is one thing; getting IT out of the business of running reports is quite another.
Business analytics is the practical application of statistical analysis and technologies on business data to identify trends and predict business outcomes.
Analytics company Amplitude is set to release a new customer data platform (CDP), planning to undercut market leaders with an aggressive pricing strategy.
Alt data offers enterprises the opportunity to gain competitive advantage, but the costs of integrating it into business workflows may be more than you think.
Factors inherent to artificial intelligence and its implementation can have dire ramifications for your company if ethics and governance arenu2019t baked into your AI strategy.
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