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Data is moving to the cloud. And as cloud applications are adopted, it means that many critical sources of data for analytics now, or soon will, live in the cloud. In fact, nearly nine in 10 participants in our research (89%) reported that they plan to use cloud-based analytics deployments, and the overwhelming majority of organizations (86%) expect that most of their data will eventually be in...

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Topics: embedded analytics, Analytics, Business Intelligence, natural language processing, Streaming Analytics, AI and Machine Learning


With the increasing exodus from on-premises solutions, organizations are migrating towards cloud computing for data analytics. Cloud computing supports rapid growth, collaborative analysis and real-time insights without requiring large capital investments in IT infrastructure. A cloud-based approach to analytics can help organizations be more agile and responsive to opportunities in the market.

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Topics: cloud analytics, Analytics, Business Intelligence, AI and Machine Learning


Historically, it’s been difficult to convince chief financial officers to invest in technology that makes it easier to spend money. That’s probably because before digital technologies, the natural impediments to spending stood as crude but effective strategies for fiscal control. Today, however, not using technology to streamline corporate spend actually increases costs and decreases control. The...

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Topics: Office of Finance, Analytics, Business Intelligence, Business Planning, Financial Performance Management, Process Mining, Streaming Analytics, AI and Machine Learning






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