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Gartner D&A Summit Bake-Offs Explored Flooding Impact And Reasons for Optimism!

Rita Sallam

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? Based on these estimators, SAS created an easy to use what-if dashboard.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. That metric is tied to a KPI.

Metrics 156
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Exploring real-time streaming for generative AI Applications

AWS Big Data

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. As new data appears, you will have to continuously fine-tune or further train the model.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 1

AWS Big Data

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault.

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Top 10 Key Features of BI Tools in 2020

FineReport

Good BI tools can achieve platform security, manage platform users, monitor access and usage, optimize performance, support operation in different operating systems, and ensure system’s high availability and disaster recovery. Metadata management. Management, security and architecture of the BI platform. Analytics dashboards.

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The art and science of data product portfolio management

AWS Big Data

Taken together, the posts in this series lay out some possible operating models for data mesh within an organization. Approves changes to DPPM principles and operating model. Acts as steering body for the governance of DPPM as a practice (KPI monitoring, maturity assessments, auditing, and so on).

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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

One of our ProServe teams has 19 dashboards on QuickSight, including Catalog, Trend and Analysis, KPI Monitoring, Business Management, and Quality Control. In 2022, one of the KPI Monitoring dashboards helped save at least 5,600 hours in total across 230 managers and 2,000 consultants. This manual process was time-consuming and costly.