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Solving the Data Daze – Analytics at the Speed of Business Questions

Rocket-Powered Data Science

Data is more than just another digital asset of the modern enterprise. So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? It is an essential asset.

Analytics 167
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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.

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Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

Asset lifecycle management (ALM) is a data-driven approach that many companies use to care for their assets, maximize their efficiency and increase their profitability. But where do you start and how do you know which ALM strategy is right for you? A sound ALM strategy ensures compliance no matter where data is being stored.

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Assisted Predictive Analytics Benefits All Team Members!

Smarten

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Predictive analytics provides support for data-driven, fact-based decisions and enables insight, perspective and clarity for improved business agility and efficiency.

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Revolutionizing Procurement: The Power of AI in Vendor Management Systems

Smart Data Collective

AI’s primary value proposition lies in its ability to analyze large amounts of data quickly and accurately, providing actionable insights that humans might miss. This is especially important in VMS, where businesses must handle complex data from multiple vendors.

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Essential skills and traits of chief AI officers

CIO Business Intelligence

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. They also need to understand the vitality of quality data for AI success, as well as governance frameworks to ensure responsible and ethical use of AI.