O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. Interrogate reported data and information with a healthy skepticism through thinking about the processes that generate the data. Mike: But I lost! How can you say always ?!? The decision-making process was fine.

Uncertainty 273

Uncertainty Testing Risk Reporting 273

FineReport

MAY 18, 2024

Within the realm of Healthcare , visualized data assists in patient monitoring, disease mapping, and medical research. Education benefits from data visualization by enhancing learning experiences through interactive visual aids.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

FineReport

MARCH 6, 2024

Financial statements constitute a pivotal segment within corporate reports. Despite serving as a vital reflection of a company’s operational health, financial statements offer a more direct and nuanced portrayal of its operations compared to operational reports. How are the Three Financial Statements Presented?

Reporting 52

Reporting Operational Reporting Statistics Dashboards 52

O'Reilly on Data

MARCH 24, 2020

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. The model and the data specification become more important than the code.

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

Smart Data Collective

MAY 29, 2023

The rate of growth at which world economies are growing and developing thanks to new technologies in information data and analysis means that companies are needing to prepare accordingly. As a result of the benefits of business analytics , the demand for Data analysts is growing quickly.

Data Collection 76

Data Collection Big Data Statistics Software 76

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. Exploratory analysis is a critical component of the data science lifecycle.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 135

Data Science Statistics Machine Learning Visualization 135

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. Solution overview The following highly simplified architectural diagram illustrates the smart sensor data collection and processing.

Dashboards 80

Dashboards Statistics Data Collection Business Intelligence 80

FineReport

JUNE 29, 2023

The Internet of Things (IoT) has revolutionized the way we interact with devices and gather data. Advanced levels of IoT analytics dashboards facilitate the identification of statistical trends, enabling the use of data for predictive failure analysis and extracting precise information and correlations from datasets.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Rocket-Powered Data Science

JULY 7, 2019

Chatbots cannot hold long, continuing human interaction. Traditionally they are text-based but audio and pictures can also be used for interaction. They provide more like an FAQ (Frequently Asked Questions) type of an interaction. NLG is a software process that transforms structured data into human-language content.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

NOVEMBER 24, 2020

Augmented analytics uses artificial intelligence to process data and prepare insights based on them. It allows feeding on more data, simplifying reporting and sharing and eliminating the unnecessary steps to get the feedback. Automation & Augmented Analytics. Future of Business Intelligence: Benefits Provided.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

CIO Business Intelligence

FEBRUARY 3, 2023

Email and client interaction; task routing Airslate Document-centric tasks such as PDF editing or generating eSignatures for contracts are one of the focuses for Airslate. The focus is interacting with web pages, databases, and Excel spreadsheets. Its “Conversational RPA” brings a natural language interface to many interactions.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. Quantitative analysis refers to a set of processes by which numerical data is analyzed. It is the sum of the values divided by the number of values within the data set.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Jet Global

MAY 15, 2020

Under modern day reporting standards, companies are formally obligated to present their financial data in the following statements: balance sheet, income statement, and cash flow statement. These three statements are data rich and full of financial metrics. A set procedure should outline how and when the data is collected.

Metrics 98

Metrics Finance Reporting KPI 98

datapine

APRIL 16, 2019

By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward. Exclusive Bonus Content: How to be data driven in decision making? 3) Gather data now.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Alation

OCTOBER 12, 2022

Quantitative analysis can take two forms: the traditional business analysis of numerical data, or the more academic quantitative analysis. Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics. What Is the Role of Statistics in Quantitative Data Analysis?

Statistics 52

Statistics Sales Testing Marketing 52

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. How to build analytic products in an age when data privacy has become critical”. Culture and organization.

Machine Learning 217

Machine Learning Risk Management Statistics 217

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. Top 15 data science bootcamps.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Sisense

SEPTEMBER 3, 2020

Data scientists usually build models for data-driven decisions asking challenging questions that only complex calculations can try to answer and creating new solutions where necessary. Data Analyst. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

Depict Data Studio

MAY 8, 2023

Two classes focus on core data visualization skills (translating technical information for non-technical audiences; making sure we don’t just have bar charts; and using colors and fonts that are branded, accessible, and intuitive). I call them deep dives because they focus just on reports, or dashboards, or presentations.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 105

Big Data Data Analytics Analytics Cost-Benefit 105

CIO Business Intelligence

MARCH 23, 2022

Digitization maximizes staff and treatment effectiveness by matching prescriptions with laboratory results and drug interaction information as well as diagnosis codes. Data can be used for statistical purposes for research and quality improvement. Medical records are easier to read and information are more easily found.

Digital Transformation 61

Digital Transformation Statistics Data Collection Technology 61

BizAcuity

JULY 7, 2020

Across all casinos that have opened in the United States, grand tournaments and special events have been limited and buffets have been kept closed so that human interaction can be restricted. Like enabling and disabling a slot machine from their desktop remotely without having to go in person, thereby reducing interaction.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

FineReport

JULY 18, 2022

FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value. Key features: It supports connecting to almost all mainstream data sources so that you can analyze data from different sources in just one single report or dashboard.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. We covered the importance of Exploratory Analytics including observing the frequency of missing data and computing interactions of all features. Pandas Profiler.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

FineReport

AUGUST 17, 2021

Are you still using the traditional cumbersome and redundant data collection methods? Have you ever neglected key indicators because of irrelevant data in your decision-making? Digital dashboard also realizes the tracking of data and indicators for monitoring the operating conditions of the enterprises. Conclusion.

Dashboards 52

Dashboards Cost-Benefit Key Performance Indicator Sales 52

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). Acquiring data is often difficult, especially in regulated industries.

Marketing 361

Marketing Experimentation Metrics Testing 361

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

AUGUST 7, 2023

AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates. Recommendations can be presented through an interactive dashboard to facilitate understanding and enable stakeholders to make informed decisions.

Optimization 56

Optimization Forecasting Data-driven Strategy 56

datapine

APRIL 11, 2019

Download our 10-step checklist and see how to tell the best data story. Rather than listing facts, figures, and statistics alone, people used gripping, imaginative timelines, bestowing raw data with real context and interpretation. Create an interactive dialogue. No one likes being told what to do.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. that gathers data from many sources. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Alation

JULY 7, 2022

This year, there are more than 900 academic programs offering training in data science. LinkedIn’s 2020 Emerging Job Report lists Data Scientist at #3 with 37% annual growth. The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030.

Metadata 52

Metadata Data-driven Insurance Statistics 52

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics).

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Use of influence functions goes back to the 1970s in robust statistics. That seems much more robust.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MARCH 30, 2017

We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. So, we have an army of glorified data regurgitators. They send out reports and dashboards. So, we have an army of implementers.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Occam's Razor

APRIL 8, 2013

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. Remember that the raw number is not the only important part, we would also measure statistical significance. Online, offline or nonline. The result?

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156