Empowering Local Leaders with Near Real-Time Data and Analytics

Empowering Local Leaders with Near Real-Time Data and Analytics
Decisions made at the national and state level are affecting local communities all around the country. But these communities vary greatly. How do local leaders take control to ensure the right decisions are made for their communities?

In this Webinar Series, Qlik and IPC Global will demonstrate how near real-time data and analytics can empower local leaders at K-12 and higher education institutions, and state and local government agencies to support decision making and improve service delivery.
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Spotlight

OTHER ON-DEMAND WEBINARS

Databases vs Hadoop vs Cloud Storage

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Relational databases are old technology, right? Thirty years is a long time for a technology foundation to be as active as relational databases, but, like NFL coaches, we must “tolerate them until we can replace them.” Are their replacements here? In this webinar, we say no. Databases have not sat around while Hadoop emerged. The Hadoop era generated a ton of interest and confusion, but is it still relevant as organizations are deploying cloud storage options like a kid in a candy store? We’ll discuss Hadoop’s continued potential relevance and the cloud storage option that seems vital. Use what when? This is a critical decision that can dictate two to five times additional work effort if it’s a bad fit.
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How to Unleash Your Data into Impactful Analytics

Never has data become more important to successfully navigating uncertainty in the real estate market. Moving into the new financial year, what are the ways that businesses should look to leverage their data to make better decisions about the road ahead? In this webinar, MRI Software, joined by Partner Connect Preferred partner insightsoftware will discuss:
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6 Steps for a Successful Data Migration

Did you know that most migrations fail in some way, either missing project deadlines, overshooting budgets, or running into complications in the new environment? A lack of visibility into data can seriously jeopardize—and sometimes even ruin—a migration project.
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Rare Disease Patient Cohort Identification Using AI/ML Models and Federated EHR-based Real-world Data Infrastructure

As rare diseases are so rare, patients are often misdiagnosed for many years, or never correctly diagnosed. Electronic health records hold much important information that can be used to correctly diagnose and treat these patients, but identification of phenotypic sets is hard to extract from reams of data.
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