Remove Metadata Remove Modeling Remove Predictive Analytics Remove Prescriptive Analytics
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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”. How does one express “context” in a data model? After all, the standard relational model of databases instantiated these types of relationships in its very foundation decades ago: the ERD (Entity-Relationship Diagram).

Metadata 250
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

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A Guide to Data Analytics in the Travel Industry

Alation

They may also suffer from data duplication, which undermines their analytics models. How is data analytics used in the travel industry? Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields). Prescriptive analytics. However, there will always be a decisive human factor, at least for a few decades yet. In forecasting future events.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Decision modeling (one of my favorites). Explore in dialogue decisions and outcomes rather than focus on data and analytics asked for. Try some gamification?

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What Is Embedded Analytics?

Jet Global

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. These advanced analytics become easy for users to apply in their own analyses.