Five Tools for Preparing Your CDP Data for Verification

Five Tools for Preparing Your CDP Data for Verification
To ensure that the third-party verification activities undertaken by companies are broadly comparable, CDP requires verification to be completed in accordance with recognised verification standards.

In this webinar, gold CDP-accredited solution provider, Greenstone outlines 5 key software tools for preparing your CDP data for verification.
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Top BI Trends for 2019

Caserta

Join us for a webinar with Looker where we explore the top Business Intelligence trends for 2019. In this 50-minute webinar, you will learn about the issues affecting BI, the role of analytics as a critical success factor for organizational success, and how companies are leveraging BI and analytics for high-value insights.
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Data and Analytics Trends for 2019 and Beyond: A Panel Discussion

Gartner

Discussion Topics: - How effective are your current data and analytics initiatives - What trends will most impact how you utilize data and analytics in 2019 and beyond - What must you do to maximize data and analytics in your organization
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Delivering Real-Time Business Insights from ERP Data in the Cloud

Businesses succeed when they can extract more contextual, relevant, and predictive insights from ERP data in real time. ERP analytics can deliver more powerful data-driven insights if deployed in a cloud-based platform. The scalability of cloud-based data repositories—such as data lakes and data warehouses—can allow more users to concurrently query, explore, correlate, analyze, and visualize more ERP data more rapidly than would be possible on many on-premises analytics platforms.
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Build Or Buy? Observability Data Pipelines 101

Getting insights from observability data such as logs and metrics is essential for managing cloud services reliably. However, managing massive observability data volumes can be expensive and complex. Luckily observability data pipelines can help IT handle large data volumes and reduce costs by processing, routing, and filtering data across teams, tools, and storage options. Should you build your own or buy?
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