IBM Big Data Hub

MAY 17, 2024

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. Why move to cloud?

Modeling 82

Modeling Cost-Benefit Optimization Digital Transformation 82

IBM Big Data Hub

NOVEMBER 29, 2023

Creating synthetic test data to expedite testing, optimization and validation of new applications and features. In other words, a differentially private synthetic dataset still reflects the statistical properties of your real dataset. You can combine this data with real datasets to improve AI model training and predictive accuracy.

Metrics 88

Metrics Machine Learning Risk Statistics 88

Occam's Razor

SEPTEMBER 24, 2012

A Facebook employee (FBe) gave a talk about measuring ROI/Value of Facebook campaigns. FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. So to imply the ROI in Step 4 is sub-optimal. How can we do better?

Advertising 165

Advertising ROI Metrics Marketing 165

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 121

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 121

datapine

JUNE 7, 2022

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path.

Visualization 267

Visualization Metrics Statistics Dashboards 267

DataRobot Blog

SEPTEMBER 1, 2022

After DataRobot AutoML has delivered an optimal model , Continuous AI helps ensure that the currently deployed model will always be the best one even as the world changes around it. This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. Manage changing market conditions.

Metrics 145

Metrics Statistics Modeling Data Science 145

DataKitchen

NOVEMBER 18, 2022

In addition to the tracking of relationships and quality metrics, DataOps Observability journeys allow users to establish baselines?concrete Observability users are then able to see and measure the variance between expectations and reality during and after each run. Your data team manager needs to measure her team’s progress.

Testing 130

Testing Statistics Measurement Metrics 130

IBM Big Data Hub

APRIL 9, 2024

” Watsonx.data lets organizations optimize workloads for different uses. “With the data we’ve prepared we can then calculate the odds of a birdie or an eagle from a particular sector; we can also look across to the opposite side of the fairway for contrastive statistics,” says Baughman. ” Watsonx.ai

Management 86

Management IT Machine Learning Metrics 86

Smart Data Collective

NOVEMBER 26, 2021

Data analytics refers to the systematic computational analysis of statistics or data. Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies. Consequently, you can make smarter decisions and hit your metrics and overall business goals.

Marketing 112

Marketing Data Analytics Key Performance Indicator Analytics 112

Occam's Razor

MAY 14, 2012

Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. I love using this tool to measure " unaided brand recall." Five Caveats! These are just brand queries.

Measurement 128

Measurement Analytics Advertising Marketing 128

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. Classification parity means that one or more of the standard performance measures (e.g.,

Machine Learning 220

Machine Learning Risk Management Statistics 220

Smart Data Collective

DECEMBER 17, 2021

These insights optimized his marketing efforts for better ROI and conversion rates. The data collection process is an ongoing process that starts with setting goals, defining success metrics , identifying what data needs to be collected, and how it will be gathered. What works for one person might not work for another. Source: [link].

Marketing Analytics 95

Marketing Analytics Marketing Data-driven Analytics 95

AWS Big Data

JUNE 6, 2023

For example, medical researchers found that across 79,000 emergency department encounters of pediatric patients in a hospital, incorrect or missing patient weight measurements led to medication dosing errors in 34% of cases. They have to gather detailed data statistics, such as minimums, maximums, averages, and correlations.

Data Quality 93

Data Quality Statistics Data Lake Visualization 93

FineReport

DECEMBER 9, 2021

Business intelligence strategy is seen as a roadmap designed to help companies measure their performance and strengthen their performance through architecture and solutions. These goals include optimizing current business processes, creating top-notch products and services, and becoming a data-driven business. Three Rights.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

FineReport

OCTOBER 10, 2020

It is a cloud-based corporate performance reporting solution that helps businesses plan budgets, actuals, plans, forecasts, calculations, and cell notes on all key SaaS metrics and KPIs. Essential Metrics For SaaS Reporting. You can integrate it directly with NetSuite. From Google.

Reporting 87

Reporting Metrics Dashboards Cost-Benefit 87

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Measurement, tracking, and logging is less of a priority in enterprise software. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

FineReport

MAY 18, 2024

This technique helps identify correlations or patterns between variables and is widely used in statistical analysis and research studies. Box and Whisker Plots Boxplots and whisker plots offer a visual summary of the distribution of numerical data by displaying key statistical measures such as median, quartiles, and outliers.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

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

AWS Big Data

MARCH 27, 2024

By testing the solution against key metrics, a POC provides insights that allow you to make an informed decision on the suitability of the technology for the intended use case. Collect data metrics and statistics on the completed tasks. Analyze the data and then optimize as necessary.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

DataRobot Blog

JULY 28, 2022

Of course, finding a compromise is necessary to a certain degree, but rather than simply compromising, finding the optimal solution within that trade-off is the key to creating maximum business value. For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc.,

Data Science 72

Data Science Machine Learning Statistics Modeling 72

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

CIO Business Intelligence

FEBRUARY 13, 2023

The name references the Greek letter sigma, which is a statistical symbol that represents a standard deviation. The process aims to bring data and statistics into the mesh to help objectively identify errors and defects that will impact quality. Six Sigma was trademarked by Motorola in 1993.

Management 71

Management Statistics Manufacturing Measurement 71

datapine

NOVEMBER 5, 2019

By harnessing the insights, information, and metrics that are most valuable to key aspects of your business and understanding how to take meaningful actions from your data, you will ensure your business remains robust, resilient, and competitive. The Link Between Data And Business Performance. Primary KPIs: Click-Through-Rate (CTR).

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

datapine

NOVEMBER 15, 2022

1) What Are Product Metrics? 2) Types Of Product Metrics. 3) Product Metrics Examples You Can Use. 4) Product Metrics Framework. The right product performance metrics will give you invaluable insights into its health, strength and weaknesses, potential issues or bottlenecks, and let you improve it greatly.

Metrics 141

Metrics KPI Measurement Dashboards 141

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

datapine

MARCH 19, 2019

According to the statistics portal Statista , there are currently around 4.78 It offers ease of access through mobile devices, on the go, with critical metrics displayed at-a-glance. We live in a mobile world. billion mobile device users worldwide. Why Are Mobile Dashboards Important?

Dashboards 112

Dashboards Visualization Metrics KPI 112

DataRobot

APRIL 20, 2021

This includes the basics: Computing summary statistics on each feature Measuring associations between features Observing feature distributions and their correlation with the predictive target Identifying outliers. Accuracy is a subset of model performance indicators that measure the model’s aggregated errors in different ways.

Measurement 52

Measurement Visualization Advertising Metrics 52

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. 3) What Are KPI Best Practices? What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124

Smart Data Collective

APRIL 13, 2019

Data analytics has helped SMEs optimize their business models in countless ways. Email monitoring software uses data analytics to help you measure relative workloads; busier employees will likely be sending and receiving emails more frequently. Data Analytics Paves the Way for More Effective Email Monitoring.

Data Analytics 67

Data Analytics Analytics Big Data Measurement 67

FineReport

MAY 9, 2023

As a result, you’ll be able to understand key metrics better and lay the groundwork for increasing conversions as a result. Threfore, you want to focus on the most important metrics and a project overview that is concise and to the point in the summary. For example, do you focus on link building, or do you also optimize on-site?

Reporting 52

Reporting Marketing Advertising Metrics 52

Juice Analytics

MARCH 30, 2021

The author must decide what data is most important to focus on to answer the questions at hand, and how to optimally harness and depict data to inform thinking and action. Data authors need to be comfortable with core statistical concepts and comfortable with manipulating data. Effective communication with data is a rare skillset.

Cost-Benefit 131

Cost-Benefit Statistics Metrics Dashboards 131

Anmut

JULY 12, 2021

Facts, events, statements, and statistics without proper context have little value and only lead to questions and confusion.?This Both measure and compare the current state of your data against the desired state, but the approaches — and the results — are quite different. Context is everything.?Facts, How data quality assessments work.

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

AWS Big Data

MAY 16, 2023

Rather than checking smart sensor information from different applications or systems to find answers, a sensor status dashboard solves this problem by aggregating status statistics across all sensors by different attributes, including sensor location, communication status, and distributions in different regions, substations, and circuits.

Dashboards 75

Dashboards Statistics Data Collection Business Intelligence 75

AWS Big Data

APRIL 28, 2023

One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark. In this post, we demonstrate a tactical approach to help you manage and reduce cost through monitoring and optimization techniques on top of your AWS Glue workloads. includes the new optimized Apache Spark 3.3.0

Optimization 94

Optimization Metrics Interactive Data Integration 94

AWS Big Data

DECEMBER 7, 2023

In this post, we outline planning a POC to measure media effectiveness in a paid advertising campaign. We chose to start this series with media measurement because “Results & Measurement” was the top ranked use case for data collaboration by customers in a recent survey the AWS Clean Rooms team conducted. and CTV.Co

Measurement 91

Measurement Advertising Testing Data-driven 91

CIO Business Intelligence

OCTOBER 14, 2022

Lots of folks are stressing metrics and being data-driven,” says Shane Quinlan, director of product management at software development firm Kion. But in most cases, you’re starting with a dataset that’s not statistically significant — we’re not all building B2C at crazy scale. Emphasize measurable outcomes. Take chances.

Management 100

Management IT Consulting Marketing 100