AWS Big Data

JUNE 21, 2023

It comprises a search engine, OpenSearch, which delivers low-latency search and aggregations, OpenSearch Dashboards, a visualization and dashboarding tool, and a suite of plugins that provide advanced capabilities like alerting, fine-grained access control, observability, security monitoring, and vector storage and processing.

Metrics 75

Metrics Measurement Modeling Dashboards 75

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. For this reason, implementing measures to stay compliant with data privacy regulations is a must when building your BI roadmap strategy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

datapine

JANUARY 14, 2020

By increasing the service levels, customer satisfaction, and loyalty, among many other metrics, organizations can ultimately generate business value and increase profits. We have written a bit more on the average response time as one of our metrics examples below in our article, but the main point is to keep it as short as possible.

Reporting 168

Reporting KPI Metrics Dashboards 168

O'Reilly on Data

DECEMBER 12, 2019

Partial dependence, accumulated local effect (ALE), and individual conditional expectation (ICE) plots : this involves systematically visualizing the effects of changing one or more variables in your model. 8] , [12] Again, traditional model assessment measures don’t tell us much about whether a model is secure.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Sisense

JUNE 24, 2021

A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources. Learning Pool’s white paper Measuring the Modern Learner Experience explains how an LRS specifically stores xAPI statements, which at their most basic level combine an actor, a verb, and an object.

Analytics 83

Analytics Measurement Dashboards Optimization 83

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. layer-wise relevance propagation), model distillation (e.g. See Wei et al. References.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

AWS Big Data

JANUARY 25, 2023

The compute capacity used for data ingestion, and search and query is measured in OpenSearch Compute Units (OCUs). With Amazon CloudWatch integration, you can monitor key OpenSearch Serverless metrics and set alarms to notify you of any threshold breaches. You only pay for the compute and storage resources consumed by your workloads.

Management 105

Management Dashboards Metadata Modeling 105

Depict Data Studio

SEPTEMBER 15, 2020

On her podcast, we talked about my unexpected shift from being an evaluator to a data visualization designer, along with my tips getting started working for yourself or teaching online. I would help train their nonprofits on evaluation, data collection, data analysis, and data visualization. My specialty, though, is data visualization.

Visualization 105

Visualization Consulting Dashboards Reporting 105

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. The most poignant for me was a simple approach for measuring noise within an organization. Measure how these decisions vary across your population.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

IBM Big Data Hub

SEPTEMBER 11, 2023

How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. The pain point tracker clusters the foundational data in which value metrics are then applied. Through the analysis of collected data, potential opportunities for improvement are uncovered.

Data-driven 90

Data-driven IT Measurement Cost-Benefit 90

Andrew White

JANUARY 11, 2021

Coding skills – SQL, Python or application familiarity – ETL & visualization? measuring value, prioritizing (where to start), and data literacy? One related item that come sto mind is this: Toolkit: Choose and Rank AI Use Cases With This Workshop. Great idea. I think some of our earlier webinars touch on these.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52