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Time is the universal dimension that weaves through every analysis and performance dashboard. But most enterprise dashboards only show a snapshot of business activity with some trending information. But that is changing. New business monitoring systems track business metrics continuously and uses artificial intelligence to detect anomalies, identify root causes, and suggest fixes.

Monitoring tools are not new. Organizations have long used monitoring systems to track the health of technical infrastructure and applications. But soon they’ll use it to continuously monitor tens of thousands of business metrics (e.g., sales, quotes, returns, profits across every dimension). In the process, business monitoring systems will radically change the landscape for BI and analytics.

This webinar will describe the capabilities and use cases for business monitoring systems as well as their benefits and challenges. It will also discuss the current state of the market, its future potential, and key players in the space.

Sponsor: Outlier.ai

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The data fabric aims to unify thorny tasks like data integration, preparation, quality, cataloging and delivery across multiple platforms. Data fabric solutions promise to ease the pain and complexity of today’s heterogeneous and sprawling environments, especially as they gravitate to the cloud. Data teams should use it like glue to enable more efficient analytics across hybrid, cloud and multi-cloud environments.

Hmm. Is that reality, hope or hype?

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Every month, Eckerson Group researchers and consultants meet virtually to try out new ideas and receive candid feedback from colleagues. Now, we invite you to participate! The data fabric aims to unify thorny tasks like data integration, preparation, quality, cataloging and delivery across multiple platforms. Data fabric solutions promise to ease the pain and complexity of today’s heterogeneous and sprawling environments. Data teams should use it like glue to enable more efficient analytics.

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Wayne Eckerson thinks that all self-service tools available to data analysts will converge into a single workbench: data catalogs, data preparation, data visualization, and autoML tools. And these integrated toolsets will appear as stand-alone products as well as baked into data platforms, BI tools, and ETL tools. Is the Data Analyst Workbench hype or reality? 

• Speaker: Wayne Eckerson
• Panelists: Eckerson Group Researchers and Consultants
• Special Guests: Dragos Georgescu, CTO, DataClarity and Kaycee Lai, CEO, Prometheum

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DataOps is a combination of tools and processes to improve the throughput and quality of what data teams produce, turning data development from an artisanal craft to a scalable, industrial process. But how does a data team get started?

• Speakers: Wayne Eckerson
• Panelists: Eckerson Group Researchers and Consultants
• Special Guests: Guy Adams - Datalytyx
                              Chris Bergh - DataKitchen