Cloudera

JULY 21, 2022

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics.

Metrics 85

Metrics Slice and Dice Data Warehouse Dashboards 85

IBM Big Data Hub

JANUARY 3, 2024

Most everyone has heard of large language models, or LLMs, since generative AI has entered our daily lexicon through its amazing text and image generating capabilities, and its promise as a revolution in how enterprises handle core business functions. Enter the world of Large Speech Models, or LSMs.

Modeling 103

Modeling Interactive Metrics Testing 103

Jet Global

MARCH 24, 2024

Non-profit metrics quantify the organization’s many endeavors in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What is a kpi?

Metrics 52

Metrics Reporting KPI Measurement 52

O'Reilly on Data

OCTOBER 30, 2023

While I am heartened to hear that the Executive Order on AI uses the Defense Production Act to compel disclosure of various data from the development of large AI models, these disclosures do not go far enough. These include: What data sources the model is trained on. Operational Metrics.

Measurement 293

Measurement Risk Modeling Metrics 293

Smart Data Collective

AUGUST 16, 2021

As an eCommerce entrepreneur, you have the benefit of being able to access a plethora of data at any time about multiple areas of your business and how consumers interact with it. Analytics data can be very useful for companies trying to create profitable online business models. Another vital metric is the conversion rate.

Metrics 129

Metrics Analytics Cost-Benefit Sales 129

Domino Data Lab

OCTOBER 16, 2019

This article covers a couple of key Machine Learning (ML) vital signs to consider when tracking ML models in production to ensure model reliability, consistency and performance in the future. Machine learning models: running wild. They may also experience relief when the model “works” in production.

Metrics 49

Metrics Modeling Machine Learning Measurement 49

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 361

Marketing Experimentation Metrics Testing 361

Jet Global

JUNE 24, 2021

Non-profit metrics quantify the organization’s many endeavours in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What are non-profit KPIs?

Metrics 98

Metrics Reporting KPI Measurement 98

Jet Global

JUNE 24, 2023

Non-profit metrics quantify the organization’s many endeavours in extending its impact on society. How to choose the right non-profit metrics? There are hundreds of metrics to choose from, and if they are not vetted properly, the organization could end up with too few or too many KPIs. What are non-profit KPIs?

Metrics 52

Metrics Reporting KPI Measurement 52

DataRobot Blog

MAY 26, 2022

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52

Risk Modeling Metrics Business Objectives 52

Smart Data Collective

OCTOBER 5, 2020

Microsoft Power BI is a Business Intelligence and Data Visualization tool which assists organizations to analyze data from multiple sources, convert it into an interactive dashboard and share insights. You can embed the interactive visuals seamlessly with existing off and on cloud premises like PowerPoint, MailChimp and Word.

Interactive 91

Interactive Visualization Dashboards Business Intelligence 91

DataRobot Blog

SEPTEMBER 30, 2022

How do you track the integrity of a machine learning model in production? Model Observability can help. By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Model Observability Features.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

Cloudera

MAY 23, 2024

Customizing Large Language Models (LLMs) is a great way for businesses to implement “AI”; they are invaluable to both businesses and their employees to help contextualize organizational knowledge. However, training models require huge hardware resources, significant budgets and specialist teams. Langchain) and LLM evaluations (e.g.

Management 78

Management Metrics Data Processing Data Lake 78

CIO Business Intelligence

APRIL 30, 2024

That’s where Tableau sees Pulse and Einstein Copilot for Tableau — a generative AI assistant that gives users the ability to interact with Tableau using natural language — coming in. This feature provides users the ability to explore metrics with natural language. Metrics Bootstrapping. Metric Goals.

Analytics 79

Analytics Metrics Visualization Dashboards 79

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). That then takes us down the very best way to answer that question, to use the five-step process to build out the Digital Marketing and Measurement Model. and tell you what are the best key performance indicators (metrics) for them.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

O'Reilly on Data

OCTOBER 18, 2022

What if a named entity recognition (NER) system, based on a cutting-edge large language model (LLM), fails for Chinese, Cyrillic, or Arabic text? Audit has been an integral aspect of model risk management (MRM) in consumer finance for years, and colleagues at BLDS and QuantUniversity have been conducting model audits for some time.

Risk Management 287

Risk Management Risk Testing Measurement 287

AWS Big Data

NOVEMBER 29, 2023

The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI). The gold model joins the technical logs with billing data and organizes the metrics per business unit. The combination of Iceberg and dbt-glue allows the team to efficiently build a data model that’s ready to be consumed.

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. This should not be news to you. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Jet Global

MAY 15, 2020

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. These three statements are data rich and full of financial metrics. The Fundamental Finance KPIs and Metrics – Cash Flow. What is a Financial KPI? Current Ratio. View Guide Now.

Metrics 98

Metrics Finance Reporting KPI 98

Smart Data Collective

NOVEMBER 14, 2019

The subscription-based business model is no longer the preserve of magazines and home security systems. Five KPIs and Metrics Worth Tracking. The subscription business model isn’t new, but today it’s become workable and even as valuable today for new lines of business as it was decades ago. Customer Acquisition Cost.

Metrics 64

Metrics Key Performance Indicator Cost-Benefit Optimization 64

CIO Business Intelligence

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. Power BI’s rich reports or dashboards can be embedded into reporting portals you already use.

Slice and Dice 122

Slice and Dice Scorecard Metrics Visualization 122

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

IBM Big Data Hub

MARCH 6, 2024

Traditional metrics, such as lines of code written or hours worked, often fall short in capturing the intricacies of complex workflows. DevOps Research and Assessment metrics (DORA), encompassing metrics like deployment frequency, lead time and mean time to recover , serve as yardsticks for evaluating the efficiency of software delivery.

Testing 111

Testing Metrics Measurement Key Performance Indicator 111

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Jet Global

APRIL 5, 2021

Enterprises actively use financial modeling to guide their financial planning and strategic decision-making. Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. That being said, one model can’t do it all. What Is Financial Modeling?

Modeling 98

Modeling Forecasting Metrics Finance 98

AWS Big Data

JULY 19, 2023

You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model. Amazon Redshift provides built-in features to accelerate the process of modeling, orchestrating, and reporting from a dimensional model. Declare the grain of your data.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

The Unofficial Google Data Science Blog

APRIL 19, 2021

by LEE RICHARDSON & TAYLOR POSPISIL Calibrated models make probabilistic predictions that match real world probabilities. While calibration seems like a straightforward and perhaps trivial property, miscalibrated models are actually quite common. Why calibration matters What are the consequences of miscalibrated models?

Modeling 122

Modeling IT Metrics Testing 122

Occam's Razor

MARCH 18, 2013

Today's post is about a new problem I'm starting to notice, which only exists because our tools have become so much cooler and handed us so much power: constant mismatching of hit- and session-level metrics and dimensions. It will be critical that you are familiar with what a metric is and what a dimension is.

Metrics 144

Metrics Analytics Measurement Reporting 144

DataKitchen

SEPTEMBER 21, 2023

Moreover, advanced metrics like Percentage Regional Sales Growth can provide nuanced insights into business performance. Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. DL models can improve over time through further training and exposure to more data. billion by 2030.

Enterprise 99

Enterprise Interactive Data-driven Key Performance Indicator 99

Smart Data Collective

MARCH 14, 2022

Data analytics technology is becoming a more important aspect of business models in all industries. The importance of customer loyalty and customer service has become increasingly well-known and companies have needed to adapt their business models accordingly to gain a competitive edge. SaaS Sales Models. What Are SaaS sales?

Modeling 98

Modeling Analytics Sales Key Performance Indicator 98

Occam's Razor

JUNE 10, 2013

I wish we did not have this desire to pulpify a bunch of metrics to produce something recognizable. Here's a summary of our journey in this delightful post… ~ What are Compound Metrics? ~ The Challenge with Compound Metrics: Social Media Edition. Let's go… What are Compound Metrics?

Metrics 140

Metrics Analytics Key Performance Indicator Measurement 140

FineReport

APRIL 3, 2024

Key Features of BI Dashboards: Customizable interface Interactivity Real-time data accessibility Web browser compatibility Predefined templates Collaborative sharing capabilities BI Dashboards vs. BI Reports: While both dashboards and reports are pivotal in business intelligence, they serve distinct purposes.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Media-Mix Modeling/Experimentation. Mobile content consumption, behavior along key metrics (time, bounces etc.) Tag your mobile website.

Metrics 141

Metrics Reporting Analytics Marketing 141

Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). Focusing on decision-making changes everything. 1 MIT Sloan Management Review September 06, 2017.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. The process of creating models is called modeling.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Occam's Razor

AUGUST 12, 2013

than multi-channel attribution modeling. By the time you are done with this post you'll have complete knowledge of what's ugly and bad when it comes to attribution modeling. You'll know how to use the good model, even if it is far from perfect. Multi-Channel Attribution Models. Linear Attribution Model.

Modeling 161

Modeling Optimization Marketing Interactive 161