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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Insight Software

If you want to empower your users to make better decisions, advanced analytics features are crucial. These include artificial intelligence (AI) for uncovering hidden patterns, predictive analytics to forecast future trends, natural language querying for intuitive exploration, and formulas for customized analysis.

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Embedded Analytics in 2023: A Year in Review

Insight Software

Here are some of the top trends from last year in embedded analytics: Artificial Intelligence : AI and embedded analytics are synergistic technologies that, when combined, offer powerful capabilities for data-driven decision-making within applications. Scalability : Think of growing data volume and performance here.

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 Top 5 Data Preparation Tools In 2023

Astera

Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. Despite intensive regulations, data breaches continue to result in significant financial losses for organizations every year. According to IBM research , in 2022, organizations lost an average of $4.35

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Reduce IT Dependence for SAP S/4HANA Reporting

Insight Software

As part of this major step in the evolution of SAP’s flagship product, the company also shifted to a cloud-first approach, giving customers the technical underpinnings needed to support a fully cloud-based implementation, while still offering the option of deploying S/4HANA on-premise. An Overview of SAP S/4HANA Reporting Tools.

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What’s Top of Mind for CFOs Heading into 2024

Insight Software

A focus on sustaining revenue not only enhances financial stability, but also safeguards investor confidence, reinforcing the organization’s position in the market and supporting long-term profitability goals.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

Data Pine

4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built. The author, Anil Maheshwari, Ph.D.,

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