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The hard truth of IT metrics

CIO Business Intelligence

And if you think you need metrics to manage you might be feeling guilty about not having enough of them. Good metrics are hard to craft, harder to manage, expensive to maintain, and perishable besides. Bad metrics, in contrast, are easier all the way around, but that doesn’t matter.

Metrics 87
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KDnuggets™ News 19:n39, Oct 16: Key Ideas in Document Embedding; The problem with metrics is a big problem for AI

KDnuggets

This week on KDnuggets: Beyond Word Embedding: Key Ideas in Document Embedding; The problem with metrics is a big problem for AI; Activation maps for deep learning models in a few lines of code; There is No Such Thing as a Free Lunch; 8 Paths to Getting a Machine Learning Job Interview; and much, much more. KDnuggets 2019 Issues AI Data Science Deep Learning Interview Machine Learning Metrics NLP Word Embeddings

Metrics 49
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Dashboard Metrics: Your KPI Guidelines and Practices

FineReport

Metrics dashboards enable you and your team to track the effectiveness of various tactics, campaigns, and processes. These KPI metrics are critical data to analyze and evaluate a company’s sales, human resources, and marketing, and operational activities. Sales Metrics Dashboard.

KPI 52
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Best 40+ Inventory KPIs and Metric Examples for Reporting

Insight Software

Inventory KPIs and metrics are crucial aspects of the reporting process. Why Inventory KPIs and Metrics Are Essential for Reporting? Tracking inventory KPIs and metrics allows businesses to identify areas in their business that need improvement and attention.

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16 Supply Chain KPIs & Metrics for Reporting

Insight Software

KPIs are a select few metrics that provide insight on the operation of all entities contributing to the supply chain. Metrics help supply chain management track its progress in achieving its goals and respond quickly if needed. Measurable: Is your metric quantifiable?

Metrics 52
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Top 35+ Finance KPIs and Metric Examples for 2020 Reporting

Insight Software

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.

Metrics 83
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Datapine Blog

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. The data quality analysis metrics of complete and accurate data are imperative to this step.

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Best Tax KPIs and Metric Examples for 2021 Reporting

Insight Software

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. However, this metric should not be relied on by itself. What is a Tax KPI?

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30 Best Manufacturing KPIs and Metric Examples for 2020 Reporting

Insight Software

A manufacturing Key Performance Indicator (KPI) or metric is a well defined and quantifiable measure that the manufacturing industry uses to gauge its performance over time. The Fundamental Manufacturing KPIs and Metrics That You Should Be Using in 2020. What Is A Manufacturing KPI?

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Crushing It With Competitive Intelligence Analysis: Best Metrics, Reports

Occam's Razor

Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. As Edward Snowden and the NSA/CIA/MI6/GCHQ documents releases have shown, there are many kinds of competitive intelligence in the world. I tend to use Hitwise a lot less, or not at all, because it is a very hard to use, it is slow, the UX/UI, metrics and reports have not really evolved over the years. Traffic Trends Key Metrics Analysis. The metric being displayed is Visits.

Metrics 123
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Top 35+ Distribution KPIs and Metric Examples for 2020 Reporting

Jet Global

A distribution Key Performance Indicator (KPI) or metric is a measure that a company in the distribution sector uses to monitor its performance and efficiency. Distribution metrics analyze inventory management, utilization rates, fleet management, order picking and shipping, and financials.

KPI 52
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27 of the Best University KPIs and Metric Examples for Reporting

Insight Software

They are often used to get a bird’s eye view of performance and are also known as metrics. University KPIs and metrics will help these education institutions direct their policy formulation and target setting. It can also be used as a metric for the quality of education.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Common natural language preprocessing options include: Tokenization: This is the splitting of a document (e.g., Execute gutenberg.fileids() to print the names of all 18 documents.) We need to take a brief break from natural language-specific content here to introduce a metric that will come in handy in the next section of the chapter, when we will evaluate the performance of deep learning NLP models.

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Enabling Business Intelligence with Unstructured Data Analytics

DataFloq

These sources may include emails, spreadsheets, PDF documents, marketing questionnaires, and more. For example, the algorithms can be used to train a machine to process an unstructured document and make sense of the data.

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. With DataRobot AI Cloud, you can see predicted values and accuracy for various metrics for the Champion as well as any Challenger models.].

Metrics 114
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6 Crucial Steps For Setting Your Data Team KPIs

DataFloq

As analytics professionals, we deal in data: serving ad-hoc reports on a minute's notice, pulling queries for executives, and generally forecasting company performance across a variety of metrics. Your metrics will never be set in stone.

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Alation and dbt Unlock Metadata and Increase Modern Data Stack Visibility

Alation

Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. Data analysts and engineers use dbt to transform, test, and document data in the cloud data warehouse.

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Better Forecasting with AI-Powered Time Series Modeling

DataRobot Blog

The order of the models will be based on the project’s metric—and can be changed based on your configuration. The Leaderboard of trained models—ordered based on your metric. Changing the order of the Leaderboard based on a different metric.

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Machine Learning Project Checklist

DataRobot Blog

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy.

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Writing Business Cases: 6 Things You Should Know About Identifying Project Benefits

BA Learnings

Understand the current state and document current key performance indicators to ensure benefits can be measured after the project is implemented. Business cases are often required to justify the need to launch new products/services, initiate projects or invest funds on business initiatives.

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Gartner Market Guide to DataOps Software

DataKitchen

The document they wrote is exceptionally close to what we see in the market and what our products do ! This document is essential because buyers look to Gartner for advice on what to do and how to buy IT software.

Software 130
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How to launch—and scale—a successful AI pilot project

CIO

Successful projects need to be part of a strategic plan, garner executive sponsorship, have access to the right data, have the right teams in place, have the right technical and business metrics and milestones in place, go through many iterations—and fail fast.

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Excellent Analytics Tip #18: Make Love To Your Direct Traffic

Occam's Razor

So if Direct traffic is so important and often the metrics show very positive results then why don't we all obsess about it a lot more? In case of untagged emails (to people who are using Outlook, Thunderbird etc) and mobile ads and mobile application links (think of all those Twitter / Facebook apps) and Adobe AIR applications (like my beloved NY Times Reader ) and in rare cases where people are clicking on links in PDF documents etc, the data ends up in Direct (no referrer).

Analytics 101
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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

You can hover over each box to get a sense of the key metrics. You present a verbose Word document/email with your recommendations. They also have an app for Treemaps, and it includes using color, as in the Compete case, to represent a metric (say Conversion Rate)! Advanced Analytics Web Analytics Web Metrics actionable web analytics custom reports data visualization Predictive Analytics Like a vast majority on planet Earth, I love data visualizations.

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Bringing an AI Product to Market

O'Reilly on Data

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. Agreeing on metrics. The worst case scenario is when a business doesn’t have any metrics.

Marketing 270
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Limitations of automation orchestrators and the rise of automation optimization

CIO

As a result, the design debt built over the years (with a focus on selling bots vs. managing them) has limited orchestrators to basic operational bot metrics. Under this scenario, determining the lifecycle metrics of an automation program is almost impossible.

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5 tips for excelling at self-service analytics

CIO

Having that roadmap from the start helps to trim down and focus on the actual metrics to create. Have a data governance plan as well to validate and keep the metrics clean. Data-informed decision-making is a key attribute of the modern digital business.

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How Model Observability Provides a 360° View of Models in Production

DataRobot Blog

By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. In addition to tracking data drift over time to maintain high quality models, another important metric to track is prediction processing.

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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

Monitoring Model Metrics. With this data in hand, we are able to measure both the data drift and model performance, both of which are essential metrics in measuring the health of the deployed model. Monitoring Modern Machine Learning (ML) Methods In Production.

Risk 56
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Analyze This: 5 Rules For Awesome Impromptu Web Analysis

Occam's Razor

I got special graphs, images, wonderfully formatted word documents… so much. Advanced Analytics Analytics competitive intelligence Customer Satisfaction Marketing Tips Web Analytics Web Insights Web MetricsThe hardest kind of "analysis" to provide is in response to open ended questions. That is why I love asking open ended questions!

Testing 95
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Big Data In Project Management – Benefits and Importance

DataFloq

” Big data metrics frequently include volumes, velocity, variety, veracity, and value as ‘the 5 V's of Big Data. The insights are derived from the enormous quantities of data that exist in large and small organizations.

Big Data 222
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Why Is Data Quality Always an Afterthought? Strategies to Master Data Quality Management

CIO

Pros of this approach: Easy to implement and quick results There is no need to separately work on in-depth lineage documentation (tool automates the data lineage) and governance methodology; we need to define the DQ workflows so tools can automate those.

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A Guide To The Top 14 Types Of Reports With Examples Of When To Use Them

Datapine Blog

A report is a document that presents relevant business information in an organized and understandable format. This insightful report displays relevant metrics such as the top-performing agents, net promoter score, and first contact resolution rate, among others.

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The Growing Role of Analytics in Business Knowledge Management

Smart Data Collective

Unlike marketing metrics, knowledge management is challenging to measure. While there is no magic wand that you can swish and flick, there are certain metrics that you can track to measure the success of your knowledge base. So, regularly monitor these metrics.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Working software over comprehensive documentation. The agile BI implementation methodology starts with light documentation: you don’t have to heavily map this out. Finalize documentation, where necessary. Document only when necessary.

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Low code/no code tools reap IT benefits—with caveats

CIO

That extra customization might include, for example, the use of fuzzy logic to correct misspelled names in a customer database or the business logic needed to calculate a one to 10 score of the effectiveness of various marketing assets based on metrics such as views versus click-throughs.

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Who Owns Web Analytics? A Framework For Critical Thinking.

Occam's Razor

They also tend to generate inefficiencies (everyone's doing their own thing after all) be it with tools or work or metrics definitions or testing platforms or… Decentralized organizations optimize for a local maxima and it happens all the time that while individual divisions in a company win, that the company as a whole loses. Convert Data Skeptics: Document, Educate & Pick Your Poison.

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What is ERP? Enterprise resource planning systems explained

CIO

Most ERP practitioners structure their ERP implementation as follows: Gain approval: The executive sponsor oversees the creation of any documentation required for approval. ERP definition.

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DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

Code snippets, as seen in the image above, are available for a variety of common data science tasks including connecting to external data sources, deploying models, and generating custom metrics, as well as creating ROC curves.

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Automating Model Risk Compliance: Model Development

DataRobot Blog

The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. For a detailed description of the all design methodologies provided, please refer to the Advanced Options documentation.

Risk 60
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I Don’t Care How Big Your Data Is

DataFloq

Collection is easy, documentation and discovery are hard. However, democratization requires self-service, which requires robust data discovery , which requires metadata and documentation. “ No data team will be able to document data at the rate at which it's being created.

Scorecard 130
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How AI Proof of Concept Helps You Succeed in Your AI Endeavor

DataFloq

If your project falls under the following categories, PoC can be an overkill: If your idea and approach are exceptionally well documented from the functional and technical perspectives. Employees were exhausted by handling all the documentation manually.

Testing 225
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I Don’t Care How Big Your Data Is

DataFloq

Collection is easy, documentation and discovery are hard. However, democratization requires self-service, which requires robust data discovery , which requires metadata and documentation. “ No data team will be able to document data at the rate at which it's being created.

Scorecard 130