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

Occam's Razor

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. Another way to find the metric you want to change is to look at your business model. That metric is tied to a KPI. That's your goalpost.

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

Rita Sallam

Interpretation of our machine learning model suggests buying $50k in building coverage and $100k in warehouse content coverage, as the latter significantly boosts predicted flood claim payouts. Pattern-basis can also consist of gradual drift and shift of workload patterns and this can be built into a predictive efficiency 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

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. Analytics dashboards.

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Best practices for enabling business users to answer questions about data using natural language in Amazon QuickSight

AWS Big Data

With automated data preparation in QuickSight Q, the model will do a lot of the topic setup for you, but there is some context that is specific to your business that you need to provide. Semantic types also help the model in several other ways, including mapping terms like “most expensive” or “cheapest” to Currency. Date Part : When?

Sales 68
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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).