Rocket-Powered Data Science

OCTOBER 6, 2023

There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable. (b)

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

datapine

NOVEMBER 13, 2019

It doesn’t matter how innovative your brand is or how groundbreaking your business model might be; if your business is ridden with glaring inefficiencies, your potential for growth is eventually going to get stunted. And procurement reporting is no exception to this. And procurement reporting is no exception to this.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

Risk 111

Risk Modeling IT Risk Management 111

FineReport

MAY 9, 2023

A digital marketing report is essential for any business that wants to generate new customers and sales. A successful marketing strategy includes modern business intelligence software and marketing reports that provide detailed data insights. Marketing, sales, and financial management would be impossible without reports.

Reporting 52

Reporting Marketing Advertising Metrics 52

FineReport

MAY 29, 2020

What is BI Reporting? . Business Intelligence is commonly divided into four different types: reporting, analysis, monitoring, and prediction. BI reporting is often called reporting. In other words, you can view BI reporting as various styles+ dynamic data. . BI Reports can vary in their interactivity.

Reporting 94

Reporting OLAP Visualization Software 94

FineReport

OCTOBER 10, 2020

What is SaaS Reporting? SaaS(Software-as-a-Service) reporting is a cloud-based application that uses subscription-based pricing to deliver reporting, dashboard services to enterprises. 5 SaaS Reporting Tools. 5 SaaS Reporting Tools. FineReport is a web reporting tool that provides the SaaS version.

Reporting 87

Reporting Metrics Dashboards Cost-Benefit 87

O'Reilly on Data

FEBRUARY 16, 2023

It might be easy to dismiss these stories as anecdotal at best, fraudulent at worst, but I’ve seen many reports from beta testers who managed to duplicate them. Large language models like ChatGPT and Google’s LaMDA aren’t designed to give correct results. So it’s not surprising that things are wrong.

Testing 208

Testing Statistics Modeling Optimization 208

Dataiku

FEBRUARY 17, 2021

According to LinkedIn’s Emerging Jobs on the Rise report for 2021 , data scientist roles are still growing steadily, showing an average annual growth of 35%.

Statistics 98

Statistics Machine Learning Data Science Reporting 98

CIO Business Intelligence

OCTOBER 26, 2023

Through use of data analytics, data visualization, and data modeling techniques and technologies, BI analysts can identify trends that can help other departments, managers, and executives make business decisions to modernize and improve processes in the organization.

Business Intelligence 125

Business Intelligence Data-driven Statistics Data Warehouse 125

FineReport

JANUARY 5, 2022

A company needs an analytical report to help them filter important data and create a comprehensive management report. In the next section of this article, we’ll go into more detail about analytical reporting, its value, and how to write an analytics report with the help of professional online reporting software.

Reporting 52

Reporting Analytics Visualization Dashboards 52

Jet Global

MARCH 24, 2024

Leading and lagging metrics : Leading measures predict future performance, whereas lagging measures report past performance. This knowledge will allow the business to optimize its efforts and model other campaigns after its most successful program. Unfortunately, preparing financial reports is a tedious and costly task.

Metrics 52

Metrics Reporting KPI Measurement 52

O'Reilly on Data

MAY 18, 2020

To date, at least 1,200 reports of AI incidents have been recorded in various public and research databases. And last is the probabilistic nature of statistics and machine learning (ML). 1 And, of course, the risks of model decay are exacerbated in times of rapid change. All predictive models are wrong at times?—just

Risk 357

Risk Modeling Data Processing Software 357

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

O'Reilly on Data

DECEMBER 12, 2023

If the output of a model can’t be owned by a human, who (or what) is responsible if that output infringes existing copyright? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model.

Modeling 248

Modeling Software Sales Statistics 248

CIO Business Intelligence

JANUARY 26, 2024

News & World Report ranks the best AI graduate programs at computer science schools based on surveys sent to academic officials in fall 2022 and early 2023 in chemistry, computer science, earth science, mathematics, and physics. Stanford offers both PhDs and an MSCS with an AI specialization.

Machine Learning 100

Machine Learning Statistics Recreation/Entertainment Data Science 100

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. What Is Business Intelligence And Analytics? Let’s see it with an example.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

CIO Business Intelligence

OCTOBER 13, 2023

They often report to data infrastructure and data science leads. Application data architect: The application data architect designs and implements data models for specific software applications. Data scientists are experts in applying computer science, mathematics, and statistics to building models.

Data Architecture 127

Data Architecture Data Warehouse Statistics Visualization 127

O'Reilly on Data

SEPTEMBER 15, 2021

There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? However, 8% of the correspondents reported decreased compensation, and 18% reported no change. A small number of respondents (8%) reported salary decreases, and 18% reported no change.

Machine Learning 362

Machine Learning Statistics Reporting Consulting 362

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.

Modeling 271

Modeling Machine Learning Risk Advertising 271

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. According to Gartner, the goal is to design, model, align, execute, monitor, and tune decision models and processes. Model-driven DSS. They emphasize access to and manipulation of a model.

Data mining 130

Data mining Data-driven Statistics OLAP 130

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

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. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Models can be designed, for instance, to discover relationships between various behavior factors.

Predictive Analytics 140

Predictive Analytics Analytics Predictive Modeling Forecasting 140

Alation

SEPTEMBER 1, 2022

BARC has named Alation a leader in the new BARC Score Data Intelligence Platforms Report. Download the full report. The goal of this report is to “evaluate software that provides a large number of different users with the agility they need to use data in an effective and efficient way.”

Reporting 52

Reporting Metadata Data Governance Interactive 52

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. The model and the data specification become more important than the code.

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

FineReport

JULY 29, 2020

According to the World Happiness Report survey, people in labor-intensive jobs are much happier than people working in the office. I believe that the daily complex report work should be one of the reasons. If you can build an automated report system, free from daily reports… If you are interested, please continue reading.

Reporting 59

Reporting Visualization Dashboards Big Data 59

CIO Business Intelligence

JANUARY 17, 2024

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. The initiative follows agile methodologies to offer faster and better results to its clients. js and React.js.

Digital Transformation 112

Digital Transformation Dashboards Reporting Data Science 112

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. It helps to automate and makes the usage of the R programming statistical language easier and much more effective. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

FineReport

MARCH 24, 2024

By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

The Unofficial Google Data Science Blog

SEPTEMBER 30, 2016

The statistics app for Google Sheets hopes to change that. Editor's note: We've mostly portrayed data science as statistical methods and analysis approaches based on big data. Introduction Statistics for Google Sheets is an add-on for Google Sheets that brings elementary statistical analysis tools to spreadsheet users.

Statistics 53

Statistics Big Data Data Science Marketing 53

CIO Business Intelligence

MAY 12, 2022

Predictive analytics tools blend artificial intelligence and business reporting. Drag-and-drop Modeler for creating pipelines, IBM integrations. Composite AI mixes statistics and machine learning; industry-specific solutions. The Statistics package focuses on numerical explanations of what happened. Open source core.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

DataKitchen

MARCH 12, 2024

Data Engineering lead, Financial Service Company Key Statistics with DataKitchen in Place: “We effectively integrated a huge number of external data sources of varying quality and then updated data delivery frequency from once per day to once every 30 minutes because of automatically generated data processes and data quality production alerts.”

Metrics 117

Metrics Software Cost-Benefit Testing 117

CIO Business Intelligence

MAY 20, 2022

News & World Report ranks the best AI graduate programs at computer science schools based on surveys sent to academic officials in fall 2021 and early 2022. The AI program focuses on the principles and technologies that underlie AI, including logic, knowledge representation, probabilistic models, and machine learning.

Machine Learning 144

Machine Learning Statistics Recreation/Entertainment Data Science 144

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience.

Predictive Modeling 86

Predictive Modeling Modeling Risk Statistics 86

datapine

JANUARY 24, 2021

Additionally, incorporating a decision support system software can save a lot of company’s time – combining information from raw data, documents, personal knowledge, and business models will provide a solid foundation for solving business problems. There are basically 4 types of scales: *Statistics Level Measurement Table*.

IT 317

IT Statistics KPI Data-driven 317