Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Data Warehouse 290

Data Warehouse IT Data Collection Reporting 290

Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Analytics 271

Analytics Data Collection Reporting Technology 271

datapine

JUNE 4, 2020

To successfully gain control and improve a company’s technological needs, CTO dashboards and reports are needed as invaluable tools that consolidate multiple data points and support chief officers in strategic developments as well as online data analysis efforts, empowering their status of champions for new solutions.

Dashboards 130

Dashboards Reporting Metrics Visualization 130

FineReport

AUGUST 19, 2020

You may have used many tools that have some reporting function built-in. As your business grows, you’ll need complete reporting solutions to handle the fast-changing data and surging reports. Before start, let’s see what are reporting solutions, and what reporting solutions you should look for. .

Reporting 98

Reporting Dashboards Data Collection KPI 98

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Jet Global

JANUARY 8, 2021

Whitepaper: How to Compare Reporting & BI Solutions. Most people use specialized dashboards to help them manage their KPIs and data. How an Operations Dashboard Can Streamline Your Reporting. Our reporting solutions are built to interface with your existing ERP and automatically collect data in real time.

Metrics 131

Metrics Manufacturing Reporting KPI 131

FineReport

APRIL 9, 2021

This article shows you a comprehensive guide on Financial Reporting and Financial Analysis and illustrates how to use them appropriately. . What is Financial Reporting? As the name suggests, financial reporting is a method of compilation and reproduction of crucial financial data in a structured and readable manner.

Reporting 98

Reporting Finance Dashboards Enterprise 98

Dataiku

JUNE 27, 2024

Data collection is not new to the enterprise and serves as the foundation for all analytics across organizations. However, collecting information about someone’s gender, race, religion, or sexual orientation has a storied history around the world. Many ask, “Why do you need this data?

Data Collection 64

Data Collection Reporting Enterprise Analytics 64

FineReport

AUGUST 14, 2020

When mentioning the reporting, folders loaded with spreadsheets, graphs, and commentaries may ring a bell. With the development of enterprise informatization, there are more and more kinds of data produced, and the demand for reports surges day by day. What is the Reporting System? Software to Build Reporting System.

Reporting 98

Reporting Informatics OLAP Data Warehouse 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

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 364

Machine Learning Statistics Data Quality Data Collection 364

FineReport

AUGUST 6, 2020

Data reports are an important part of maintaining the company’s normal production and operations. The business development and financial status of the company need to be monitored through data reports. Developing reports is one of the necessary skills for data analysts or consultants.

Reporting 98

Reporting Dashboards Sales Visualization 98

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. One type of implementation of a content strategy that is specific to data collections are data catalogs. Data catalogs are very useful and important.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

FineReport

SEPTEMBER 3, 2020

For most companies, using Excel to create reports is the most common reporting solution. However, with the growing amount of data from many sources, the pain points of using Excel are more and more apparent. For example, data collection is time-consuming, and the data from scattered business systems can not be integrated.

Reporting 95

Reporting Dashboards Visualization Data Warehouse 95

Alation

MARCH 24, 2021

The third installment of the quarterly Alation State of Data Culture Report was recently released, highlighting the data challenges enterprises face as they continue investing in artificial intelligence (AI). Get the latest data cataloging news and trends in your inbox. Subscribe to Alation's Blog.

Reporting 105

Reporting Data Quality Business Driver Enterprise 105

FineReport

FEBRUARY 23, 2020

What is database reporting tools? Database reporting tools are the reporting software that helps you directly generate reports of the data from the database or the data warehouse you use. There are two types of databases used in the company or organizations: relational databases and NoSQL data sources. .

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

Smart Data Collective

FEBRUARY 14, 2020

Big data is a great asset for countless people all over the world. A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price.

Big Data 123

Big Data Reporting Risk Advertising 123

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

Jet Global

JUNE 27, 2024

Now available for European Union businesses, insightsoftware ESG reduces the burden of reporting and enhances an organization’s reputation with stakeholders RALEIGH, N.C. The modular solution simplifies and automates ESG reporting, saving time and improving visibility.

Reporting 64

Reporting Management Data Collection Metrics 64

Jet Global

JUNE 24, 2020

Breaking it Down: Engineering Reporting Strategy. We will also discuss how engineering dashboards are imperative for tracking KPIs and can streamline a reporting process. Easy reporting. A KPI will only provide benefit if you are able to collect and interpret the data. Centralized data. Instant Reports.

Metrics 98

Metrics Reporting KPI Key Performance Indicator 98

O'Reilly on Data

OCTOBER 16, 2018

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization. That’s why decision-makers consider business intelligence their top technology priority.

Business Intelligence 230

Business Intelligence Data Science Descriptive Analytics Data Collection 230

CIO Business Intelligence

JANUARY 9, 2025

This required dedicated infrastructure and ideally a full MLOps pipeline (for model training, deployment and monitoring) to manage data collection, training and model updates. For example, a report summarizing last weeks alarms, identifying recurring problems, and suggesting areas for improvement.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

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

Corinium

APRIL 9, 2019

Download the Report. The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?”

Unstructured Data 150

Unstructured Data Data Lake Big Data Data Collection 150

CIO Business Intelligence

JANUARY 3, 2023

In October, the league, with partner SAP, launched NHL Venue Metrics, a sustainability platform that teams and their venue partners can use for data collection, validation, and reporting and insights. IT-driven sustainability The league released sustainability reports in 2014 and 2018.

Metrics 144

Metrics Measurement Recreation/Entertainment Data Collection 144

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

Smart Data Collective

APRIL 10, 2023

Over the past decade, personal information collection raises concerns about consumer privacy and protection. lacks a comprehensive privacy law governing personal data collection, use, and sale. Existing federal consumer protection laws may not apply to newer uses of consumer data. What does this mean for consumers?

Reporting 116

Reporting Risk Data Collection Sales 116

O'Reilly on Data

NOVEMBER 13, 2018

The Future of Privacy Forum and Immuta recently released a report with some great suggestions on how one might approach machine learning projects with risk management in mind: When you’re working on a machine learning project, you need to employ a mix of data engineers, data scientists, and domain experts.

Machine Learning 277

Machine Learning Risk Management Statistics 277

datapine

APRIL 21, 2022

For instance, when it comes to Human Resources, a digital transformation entails streamlining operations and digitizing personnel data. An accounting department may consider leveraging electronic contracts, data collecting, and reporting as a part of the digital transition. Interactivity-driven Social Marketing.

Digital Transformation 206

Digital Transformation Marketing Advertising Scorecard 206

Smart Data Collective

MAY 16, 2022

Data management systems provide a systematic approach to information storage and retrieval and help in streamlining the process of data collection, analysis, reporting, and dissemination. It also helps in providing visibility to data and thus enables the users to make informed decisions.

Management 136

Management Data mining Data Warehouse Data Collection 136

Smart Data Collective

MARCH 24, 2020

Predicting academic performance is one of the key research topics in Big Data in education. The relationship between performance parameters and factors for predicting performance is involved in complex nonlinear relationships, so the areas of data collection should be comprehensive. Data collection. Adjustment.

Big Data 120

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 120

CIO Business Intelligence

AUGUST 16, 2024

“While there are always new technologies coming out year after year, you can’t focus too much on the technology,” he explains, noting that CIOs need to look at their objectives, and problems, and then figure out how connectivity, data, and technology can help. On some days, as many as 40 incidents were being reported.

Recreation/Entertainment 134

Recreation/Entertainment Data Collection Technology Reporting 134

Smart Data Collective

MARCH 29, 2021

Such technologies include Digital Twin tools, Internet of Things, predictive maintenance, Big Data, and artificial intelligence. Although most of these have only emerged during the past decade, organizations that adopted them earlier have reported impressive benefits. Asset data collection.

Big Data 140

Big Data Management Cost-Benefit Internet of Things 140

CIO Business Intelligence

JULY 24, 2024

OpenAI announced on Wednesday a new approach to AI development, one that it said “aligns models to behave safely without extensive human data collection,” although some have raised concerns about AI interacting with AI. Other reports, including one from CNBC , said that Madry was being reassigned “to a job focused on AI reasoning.”

Recreation/Entertainment 132

Recreation/Entertainment Data Collection Modeling Reporting 132

Rocket-Powered Data Science

JULY 21, 2023

When I reviewed highlights from last year’s Splunk.conf22 conference in my summary report at that time, I focused a lot on the Splunk Observability Cloud and its incredible suite of Observability and Monitoring products and services. This reflected my strong interest in observability at that time. Leaders are 7.9x

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

O'Reilly on Data

DECEMBER 19, 2018

Given the rate at which data is created, data collection has to be automated. How do you do that without dropping data? Given that the results produced by any model will reflect the data used to create the model, how do you ensure your data collection process is fair, representative, and unbiased?

Machine Learning 279

Machine Learning Software Metadata Testing 279

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167