AWS Big Data

JUNE 6, 2023

It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. It provides insights and metrics related to the performance and effectiveness of data quality processes. We can analyze the data quality score and metrics using Athena SQL queries.

Data Quality 72

Data Quality Metrics Visualization Dashboards 72

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Among these, only statistical uncertainty has formal recognition.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

FineReport

JUNE 14, 2022

Definition of Business Report. A business report is a formal document that objectively provides statistical data, summarizes historical facts, and sometimes offers reasonable recommendations for a company’s managers. And a report with plenty of statistical data or words is not intuitive enough to read and comprehend.

Reporting 52

Reporting IT Sales Dashboards 52

Occam's Razor

FEBRUARY 6, 2018

Your digital performance dashboard has 16 metrics along 9 dimensions, and you know that the font-size 6 text and sparkline sized charts make them incomprehensible. Focus only on KPIs, eliminate metrics. Here are the definitions you'll find in my books: Metric : A metric is a number. Time on Page is a metric.

Strategy 266

Strategy Metrics KPI Dashboards 266

CIO Business Intelligence

NOVEMBER 20, 2023

The US Bureau of Labor Statistics has projected that the number of software developers will grow 25% from 2021-31. Well-known metrics, such as deployment frequency, are useful when it comes to tracking teams but not individuals. The results are not definitive, but they are promising. ROI and Metrics, Software Development

Measurement 126

Measurement Metrics Testing Software 126

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. But let’s see in more detail what experts say and how can we connect and differentiate the both.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

MARCH 25, 2019

Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Conduct statistical analysis. Visualize your data.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

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. That metric is tied to a KPI.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

CIO Business Intelligence

JUNE 5, 2024

Hallucination is the word people use, but the model is always generating a statistically plausible output, whether it gets it right or wrong, so calling it a hallucination is misleading. But really, the problem with all these words is they have no technical definition. It’s always hallucinating … it’s just usually right.

Machine Learning 126

Machine Learning Modeling Statistics Metrics 126

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. But first, let’s start with a simple definition.

KPI 221

KPI Management Key Performance Indicator Measurement 221

DataKitchen

OCTOBER 11, 2021

Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. Definition of Done. Statistical Process Control – applies statistical methods to control a process. When is a project ready to be pushed to production? When can you declare it done?

Testing 154

Testing Metadata Dashboards Statistics 154

CIO Business Intelligence

JUNE 21, 2024

A service-level agreement (SLA) defines the level of service expected by a customer from a supplier, laying out metrics by which that service is measured, and the remedies or penalties, if any, should service levels not be achieved. Metrics should be designed so bad behavior by either party is not rewarded. What is an SLA?

Metrics 96

Metrics Measurement Cost-Benefit Key Performance Indicator 96

Alation

JANUARY 20, 2022

Step 2: Data Definitions. In this step, you connect data integrity to business results in shared definitions. This is done by collecting data statistics. Step 7: Data Quality Metrics. With data quality rules completed and firing, you can collect data quality metrics. With this step, you create a glossary for CDEs.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

Occam's Razor

SEPTEMBER 24, 2012

FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Because we don't understand the uniqueness, we fall back on profoundly sub-optimal old world metrics like Reach or Online GRP equivalents. Metrics are a problem.

Advertising 165

Advertising ROI Metrics Marketing 165

datapine

SEPTEMBER 6, 2022

To get you started on the topic, we’ve put together this guide including definitions, benefits, examples, and a list of best practices. A content dashboard is an analytical tool that contains critical performance metrics to assess the success of all content-related initiatives. Let’s look at some of these metrics in more detail below.

Dashboards 179

Dashboards Reporting ROI Metrics 179

IBM Big Data Hub

APRIL 13, 2023

SELECT count (*) FROM FLIGHT.FLIGHTS_DATA — — — 99879 Look into the scheme definition of the table. Explore data In this step, I’ll look at both sample records and the summary statistics of the training dataset to gain insights into the dataset. Check the summary statistics of the numeric column.

Modeling 81

Modeling Statistics Machine Learning Testing 81

AWS Big Data

JUNE 6, 2023

They have to gather detailed data statistics, such as minimums, maximums, averages, and correlations. They have to then review the data statistics to identify data quality rules, and write code to implement these checks in their data pipelines. For an up-to-date list, refer to Data Quality Definition Language (DQDL).

Data Quality 95

Data Quality Statistics Data Lake Visualization 95

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

FineReport

NOVEMBER 30, 2020

When looking at your company’s monthly metrics, it’s essential to focus on a month’s worth of data. A month’s metrics is worthwhile, but it can be misleading if not placed in the proper context. YoY Growth’s definition. For example, YoY Growth is a key metric for retail analytics.

Statistics 98

Statistics Metrics Sales Reporting 98

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. But if the same insights or metrics are presented in a simple graph, the number rises to 97%. It is a definitive reference for anyone who wants to master the art of dashboarding.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

datapine

JUNE 4, 2020

To put things into perspective, we will focus on CTO dashboards and reports, beginning with the definitions, continuing with an example that you can use for your own business requirements, and finish with the most prominent benefits these dashboards and reports deliver to chief technologists. What Is A CTO Dashboard? What Is A CTO Report?

Dashboards 130

Dashboards Reporting Metrics Visualization 130

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

DECEMBER 18, 2023

Does that imply that there are “fake” user metrics as well? Synthetic data is a statistical representation of reality. By definition, anomalous network performance is unpredictable. Are there alternatives to RUM data? Why “real”? Actually, yes!

IT 63

IT Metrics Optimization Testing 63

datapine

MAY 27, 2020

While analytical reporting is based on statistics, historical data and can deliver a predictive analysis of a specific issue, its usage is also spread in analyzing current data in a wide range of industries. For example, a hospital has seen in their report that the average waiting time can be reduced by conducting specific actions.

Reporting 245

Reporting Analytics Dashboards Sales 245

Octopai

JANUARY 31, 2022

Maybe they have different definitions of conversions, which would certainly lead to metrics that don’t match up. Or maybe they share the same definition, but they each calculate it differently. A change to one system is not always reflected across the board, leaving one or more systems with outdated data or definitions.

Metadata 97

Metadata IT Unstructured Data IoT 97

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. Models will need to be customized (for specific locations, cultural settings, domains, and applications).

Machine Learning 225

Machine Learning Risk Management Statistics 225

Occam's Razor

FEBRUARY 22, 2010

For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site. Check the definitions of various metrics. numbers for various industries.

Metrics 124

Metrics Advertising Reporting Software 124

datapine

APRIL 2, 2019

Tracking the success metrics based on your needs, and the time frame you select while comparing your values can be done with simple yet effective scorecards. Let’s start with a simple definition. A KPI scorecard is a term used to describe a statistical record that measures progress or achievement towards a set performance indicator.

Scorecard 226

Scorecard KPI Dashboards Reporting 226

AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality reduces the effort required to validate data from days to hours, and provides computing recommendations, statistics, and insights about the resources required to run data validation. We provide the plain text definition for each ruleset in the following table. Add the ruleset-5 definition under Ruleset editor.

Data Quality 96

Data Quality Measurement Testing Visualization 96

CIO Business Intelligence

JUNE 11, 2024

A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications.

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

CIO Business Intelligence

OCTOBER 20, 2022

That’s a staggering statistic, and it means that people want to buy from companies that have similar values as theirs, and they’ll also refuse to bring their talents to places that don’t engage in meaningful change. This is where Schneider shines. We have bigger and bigger data centers because we rely on more and more data to get things done.

Snapshot 98

Snapshot Statistics Metrics Publishing 98

Alation

MAY 24, 2022

To some it means profiling statistics, like min, max, median, and null; to others it means producing an aggregate quality score that can be interpreted as good or bad. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape. are five digits to meet standards.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. Reliability and validity: Definitions and measurement Two fundamental concepts emerged from this research: reliability and validity.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

CIO Business Intelligence

AUGUST 5, 2022

Data visualization definition. Today, data visualization encompasses all manners of presenting data visually, from dashboards to reports, statistical graphs, heat maps, plots, infographics, and more. Choropleths use shades or patterns on a map to represent a statistical variable, such as population density by state.

Visualization 143

Visualization Dashboards Statistics Business Intelligence 143

FineReport

MARCH 7, 2024

Data Analysis Report (by FineReport ) Based on my understanding of this definition, I summarize big data analysis as the process of acquiring data, breaking down silos, integrating information, identifying patterns, and promptly deriving actionable insights for decision-making. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Occam's Razor

MARCH 8, 2010

Like good little Reporting Squirrels we collect and stack metrics as if preparing for an imminent ice age. In this case its making right choices about the web metrics we knight and sent to the battle to come back with insights for our beloved corporation to monetize. You run a report and notice a trend for this metric.

Metrics 118

Metrics Testing Key Performance Indicator KPI 118

Smart Data Collective

MARCH 11, 2022

Customer service analytics is a process that involves gathering and evaluating all data and metrics produced by a company’s or organization’s customer care department. You can see which representatives are meeting their targets and which ones need to boost their statistics this way. What Is Customer Service Analytics?

Customer Analytics 122

Customer Analytics Analytics Key Performance Indicator Big Data 122