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insightsoftware Launches Angles Professional for Oracle to Automate Recurring Operational Reports at the Gartner Data & Analytics Summit 2023

Jet Global

Often, teams are held back by the limitations of existing enterprise resource planning (ERP) systems reports, which require support from IT to customize, or they rely on business intelligence (BI) and analytics tools, which do not provide users a no-code experience to build reports and visualizations with drill-down.

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Rebooting expectations to connect and lead in more meaningful ways

CIO Business Intelligence

But we’re moving back to a world that’s digitally analog, with things like big data visualization. And they introduced this idea, the VUCA world: Volatile, Uncertainty, Complex, and Ambiguous. It’s data analytics and the use of context and human judgment to decide.

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3 reasons why business and data analysts need to work with real-time events

IBM Big Data Hub

Uncertainty is expected and complexity is compounding. ” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence. As threats materialize on multiple fronts, organizations must reduce the time from insight to action.”

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Position Your Analytics App for Maximum Impact

Sisense

Every company wants to focus on operational efficiency and protect their revenue against uncertainty. So how do you know when is the right time to pursue a new data monetization initiative? Charles Holive, Sisense Managing Director of Data Monetization and Strategy Consulting. Is your analytic app a product or service?

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Player retention is a strategic imperative for Casinos

BizAcuity

No wonder casinos have full-fledged data analytics teams both in-house and outsourced. The data points related to users/players reside across multiple channels and platforms i.e. websites, apps, CRMs, Ad networks, and financial software. Player retention for a VUCA future. The global market is putting enablers in place.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Rev 2 wrap up.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The term “ML” is No.

IoT 20