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DataOps (data operations) brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and skills to enable the data-driven enterprise.
Business intelligence (BI) enables companies to harness insights from massive amounts of data. But doing so requires overcoming a range of strategic and tactical challenges.
A strong, up-to-date data strategy is fundamental to your enterprise’s long-term success. In light of ongoing changes, it will probably need some serious updating.
Forward-thinking technology leaders are deploying a future-ready data strategy that can scale with demand and evolve with changing business requirements.
Organizations are accelerating their ability to make data-driven decisions by offering analytics capabilities directly to business users. Here’s how to do it right.
IT and analytics leaders seeking to convey actionable insights from their organization’s data must learn how to tell compelling stories with data, emphasizing context and narrative.
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.