CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

NOVEMBER 29, 2022

As part of the announcement, the company said that it was making the forecasting, capacity planning, scheduling and Contact Lens feature of Amazon Connect generally available while introducing two new features in preview. c (Sydney), and Europe (London) Regions.

Machine Learning 111

Machine Learning Forecasting Recreation/Entertainment Metrics 111

datapine

FEBRUARY 9, 2024

An even more interesting fact: The blogs we read regularly are not only influenced by KPI management but also concerning content, style, and flow; they’re often molded by the suggestions of these goal-driven metrics. For example, customer satisfaction metrics are used to drive a better customer experience.

KPI 221

KPI Management Key Performance Indicator Measurement 221

CIO Business Intelligence

APRIL 8, 2025

In retail, poor product master data skews demand forecasts and disrupts fulfillment. Publish metadata, documentation and use guidelines. Regularly reviewing these metrics, publishing dashboards and iterating in sprints allows organizations to gauge progress, identify emerging issues and refine strategies accordingly.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Jet Global

JANUARY 7, 2021

One of the most common use cases for BI dashboards involves tracking sales revenue and pipeline opportunities against the forecast. That is often presented alongside other key customer metrics such as returns, on-time deliveries, and so on. Why Use a BI Dashboard? This is where dashboard visualizations can be especially useful.

Dashboards 98

Dashboards Key Performance Indicator Metrics Business Intelligence 98

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

CIO Business Intelligence

SEPTEMBER 20, 2023

Agile has to work within the context of the organization, whether it’s the process of financial reporting, estimation, or forecasting,” said Phil Heijkoop, general manager of Aligned Agility. He recommends that leaders identify a metric that focuses on value to the customer. Agile teams aren’t done when they deploy the code.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135

Occam's Razor

FEBRUARY 22, 2010

Similar tools are available from Microsoft: Entity Association, Keyword Group Detection, Keyword Forecast, and Search Funnels (all at Microsoft adCenter Labs ). If your competitors publish their own data through vendors such as Google’s Ad planner or Quantcast, then that is probably the cleanest and best source of data for you.

Metrics 124

Metrics Advertising Reporting Data Collection 124

Smart Data Collective

FEBRUARY 14, 2023

Last year, Xiafei Li and his two colleagues in China published a study in the Annals of Operations Research on the ability to forecast stock market volatility with predictive analytics models. Therefore, these metrics are likely to be used by most predictive analytics tools used to ascertain risk.

Predictive Analytics 132

Predictive Analytics Management Analytics Uncertainty 132

Smart Data Collective

OCTOBER 20, 2020

Christian Welborn recently published an article on taking a data-driven approach to GTM. Benefits include: Using data analytics to better identify your target audience Developing a stronger competitive advantage Forecasting trends with predictive analytics to anticipate future market demand. How Can Data Play an Important Role in GTM?

Marketing 136

Marketing Data Analytics Analytics Big Data 136

datapine

NOVEMBER 30, 2023

For example, a breakdown of articles with the URL, topic, author, and website section in which it is published. For example, if you build a table displaying website page performance and need to add a header for CTR, CPC, and other standard marketing metrics, you must ensure your audience understands what those mean.

Visualization 186

Visualization Cost-Benefit Sales KPI 186

AWS Big Data

SEPTEMBER 11, 2024

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. The Redshift publish zone is a different set of tables in the same Redshift provisioned cluster.

Data Architecture 97

Data Architecture Optimization Data Warehouse Metadata 97

Cloudera

FEBRUARY 25, 2021

CFFL has published almost two dozen research reports, each accompanied by detailed prototypes demonstrating the capabilities they report on. Use an interpretable approach to forecasting electricity demand data for California. This notebook also demonstrates several downstream analyses. Structural Time Series.

Deep Learning 84

Deep Learning Machine Learning Forecasting Visualization 84

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. Morgan Kaufmann Publishers Inc.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

IBM Big Data Hub

FEBRUARY 15, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important as it relates to a company’s business model, risk management strategy , reporting requirements and more. This lack of meaningful metrics isn’t necessarily by design, though.

Reporting 78

Reporting Consulting Risk Metrics 78

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. This is in line with existing sector benchmarks. Often larger or established teams shy away from integrating AI due to complexities in rollout and validation.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

IBM Big Data Hub

JANUARY 17, 2023

Having such a platform that also allows planning team members to leverage predictive forecasting and integrate decision management and optimisation models puts organisations at a significant advantage over those that continue to rely on manual worksheet or spreadsheet-based planning processes.

Reporting 56

Reporting Forecasting ROI Finance 56

Smarten

NOVEMBER 19, 2018

Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. Predictive analytics is the process of forecasting or predicting business results for planning purposes. No longer is this process the sole responsibility of data scientists or IT staff.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

FineReport

APRIL 9, 2021

The underlying idea is to find the differences between goals and actual results by comparing corresponding metrics. The listed companies always publish their annual reports. By comparing the receivables and payables, you can manage and forecast future cash movements. Payables refer to the amount of money owed by the business.

Reporting 98

Reporting Finance Dashboards Enterprise 98

Smarten

JANUARY 17, 2019

An enterprise that commits to these types of advanced data analytics tools can enjoy the benefits of a shared understanding of data and goals, improved decision-making, fact-based analysis that avoids guesswork and allows for refined planning and forecasting at every level of the organization.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. KPIs and Metrics of an HR Dashboard A human resources dashboard should incorporate various essential metrics that offer a comprehensive organizational overview. What is an HR Dashboard?

Dashboards 52

Dashboards Metrics Key Performance Indicator Cost-Benefit 52

Jedox

AUGUST 20, 2020

With a single data repository, their data and assumptions can help CFOs and senior management to stop reacting to P&L metric movements. This article was first published on FutureCFO. . After all, they are closest to the market, and are privy to shifting trends and market assumptions. Conclusion.

Uncertainty 52

Uncertainty Marketing Forecasting Finance 52

Smarten

SEPTEMBER 9, 2024

These tools allowed users to monitor key performance indicators (KPIs), reports and other metrics in a dashboard environment using many of the same features and tools they enjoyed in a desktop based application. The market is forecasted to achieve nearly a 23% growth over the next three years.

Business Intelligence 52

Business Intelligence Key Performance Indicator IT Metrics 52

Smarten

NOVEMBER 22, 2017

These tools allow the enterprise to establish and monitor key metrics and to objectively assess results. Self-Serve Advanced Analytics provides a roadmap to guide you through a maze of organizational data with tools and models that will bring together data from disparate sources and enable sophisticated yet simple analytics.

Analytics 40

Analytics IT Business Intelligence Visualization 40

AWS Big Data

MAY 1, 2023

To use the forecast capability in QuickSight, sign up for the Enterprise Edition. Choose Save & publish. The central account is the AWS account that you use to centrally manage the support case data. Before you get started, make sure that you have a Business or Enterprise support plan for your member accounts.

Dashboards 97

Dashboards Analytics Visualization Management 97

AWS Big Data

JUNE 30, 2023

We use QuickSight as the base for our visualization platform, and clients can visualize predictive forecasting models on ad spend and revenue; make decisions based on optimizing spend and arresting churn; and identify high-value customer segments, marketing channel effectiveness, conversion rates, customer acquisition costs, or ROI.

Marketing 52

Marketing Dashboards Advertising ROI 52

DataRobot Blog

FEBRUARY 15, 2023

Quite a few complex use cases, such as price forecasting, might require blending tabular data, images, location data, and unstructured text. The MLOps command center gives you a birds-eye view of your model, monitoring key metrics like accuracy and data drift.

Machine Learning 52

Machine Learning Modeling Cost-Benefit Metrics 52

Insight

MARCH 28, 2019

Yanxia then used a combination of quantitative and qualitative metrics to interpret each topic group identified by LDA. John’s tool allows investors to visualize employee review sentiment scores over time and forecasts future sentiment evolution. John Phillips holds a Ph.D.

Dashboards 70

Dashboards Data Science Visualization Machine Learning 70

Jet Global

NOVEMBER 23, 2020

Another nice aspect of the blog is that it frequently publishes the results of surveys conducted by the CFOSP. For those of you who actively follow McKinsey, you will know that they regularly publish articles tailored for management and C-level executives. This blog is worthy of being saved to your browser’s favorites tab.

KPI 52

KPI Finance Dashboards Data Processing 52

Andrew White

JANUARY 11, 2021

Gartner also published the same piece of research for other roles, such as Application and Software Engineering. We publish research for small organizations, not just larger organizations. We have published some case studies. For more accurate decision making, forecast and predictions are needed. Very interesting.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

O'Reilly on Data

MAY 27, 2020

His system was needed because “beginning teachers and librarians” were less expert at “forecasting comprehension rates” than the algorithm was. These report cards have changed the way that cardiac surgeons in New York do their jobs, but thirty years on, it’s still not clear whether the metrics make things better.

Risk 361

Risk Testing Reporting Measurement 361

Occam's Razor

NOVEMBER 15, 2010

Furthermore the content publishing schedules, perceptions of "engagement" are all out of whack. No, no, not the silly reports that show mostly useless metrics like Average Time on Site and Average Pages Per Visitors ( averages stink! ). Index Value Metric. Index Value Metric. Time to focus on the Visitors!!

Reporting 140

Reporting Metrics Strategy Measurement 140

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 62

Experimentation Testing Statistics Metrics 62

Insight

FEBRUARY 19, 2020

Photo by Roberto Nickson on Unsplash Much effort has been spent understanding and forecasting the success of movies (e.g., Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). ROI = Profit/Budget).

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

FEBRUARY 4, 2019

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. A free mini-book about the second survey, Evolving Data Infrastructure, just published. Sans spoilers, there’s one histogram from our third survey (not published yet) which I feel compelled to describe.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Jet Global

JUNE 30, 2021

A chief executive officer (CEO) key performance indicator (KPI) or metric is a relative performance measure that a CEO will use to make informed decisions. By monitoring financial, operational, and staffing metrics, a CEO is able to identify the strengths and weaknesses of a company and leverage these to their advantage.

Metrics 106

Metrics KPI Dashboards Advertising 106

Jet Global

OCTOBER 7, 2021

An accounting Key Performance Indicator (KPI) or metric is an explicitly defined and quantifiable measure that the accounting industry uses to gauge its overall long-term performance. Error Resolution Time – This accounting metric tracks the time it takes to correct an error when it is identified. What is an Accounting KPI?

Metrics 110

Metrics Reporting KPI Key Performance Indicator 110