CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. The initiative follows agile methodologies to offer faster and better results to its clients. js and React.js.

Digital Transformation 119

Digital Transformation Dashboards Reporting Data Science 119

CIO Business Intelligence

APRIL 12, 2024

According to a report from Indeed , a large part of this shift has come as organizations focus more on adopting AI in the workplace. Even as the IT job market experiences shifting dynamics, employment website Indeed reports a range of roles have maintained resiliency and even grown in demand.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

FineReport

FEBRUARY 9, 2023

The importance of financial reporting cannot be overstated. Financial reporting also helps companies comply with legal and regulatory requirements, such as tax laws, accounting standards, and securities regulations. What Is Financial Reporting? Balance Sheet The balance sheet is one of the three major financial statements.

Reporting 40

Reporting IT Finance Enterprise 40

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 127

Management Data mining Data Warehouse Data Collection 127

IBM Big Data Hub

APRIL 22, 2024

We believe there are three core areas that every organization should focus on: sustainability strategy and reporting; energy transition and climate resilience; and intelligent asset, facility and infrastructure management. Using AI, business teams can “clean” data, manage through gaps, and report across different frameworks.

IoT 80

IoT Internet of Things Cost-Benefit Reporting 80

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

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

CIO Business Intelligence

JANUARY 31, 2024

This is accomplished through centralized data collection and analysis, which enables holistic visualization of the entire IT landscape and correlation of situations. This produces a variety of economic efficiencies, including: • Fewer incidents reported by users. More stable service means more money for digital enterprises.

Data Collection 105

Data Collection Reporting Visualization Technology 105

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Figure 1 illustrates the framework for Scope 3 emission estimation employing a large language model.

Experimentation 77

Experimentation Modeling Deep Learning Data-driven 77

Smart Data Collective

OCTOBER 8, 2023

The Power of Data Analytics: An Overview Data analytics, in its simplest form, is the process of inspecting, cleansing, transforming, and modeling data to unearth useful information, draw conclusions, and support decision-making. This involves data collection , data cleaning, data analysis, and data interpretation.

Data Analytics 94

Data Analytics Analytics Statistics Data Collection 94

IBM Big Data Hub

FEBRUARY 7, 2024

Advanced technologies, more stringent reporting standards and stronger support from stakeholders are building momentum for eco-friendly initiatives and the incentives that encourage them. Sustainability reporting: Accountability on the record This may be the biggest year yet in sustainability reporting.

Reporting 93

Reporting Cost-Benefit Internet of Things Data-driven 93

Cloudera

MAY 9, 2019

The report created a readiness model with five dimensions and various metrics under each dimension. Based on your responses, an assessment report will be created. The report also guides you in evaluating your assessment report for your strengths and weaknesses. The five dimensions of the readiness model are –.

IoT 52

IoT Modeling Metrics Measurement 52

IBM Big Data Hub

DECEMBER 16, 2022

Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance for generative artificial intelligence (AI) and the foundation models that underpin many of these use cases. How can we ensure that these models are being used responsibly?

Uncertainty 115

Uncertainty Metadata Modeling Data Collection 115

AWS Big Data

MAY 15, 2024

By extracting detailed information from CloudTrail and querying it using Athena, this solution streamlines the process of data collection, analysis, and reporting of EIP usage within an AWS account. It is a serverless service, eliminating the need for infrastructure management and costing you only for the queries you run.

Snapshot 86

Snapshot Optimization Data Lake Reporting 86

CIO Business Intelligence

JULY 3, 2023

Data exists in ever larger silos, but real knowledge still resides in employees. But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality. These models can extract meaning from digital data at scale and speed beyond the capabilities of human analysts.

Management 105

Management Experimentation Modeling Enterprise 105

FineReport

MARCH 24, 2024

The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. By conducting extensive research and analysis, they generate reports that inform strategic decisions, identify areas for enhancement, and guide the implementation of new initiatives.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

AUGUST 30, 2022

Data has always been central to agile business planning, forecasting and analysis – all tools which have become central to the modern CFO role. This level of data collection and insight requires the right technology. Companies are awash with information, each different department has their own KPIs and methods of reporting.

Data-driven 93

Data-driven Finance Digital Transformation Operational Reporting 93

Cloudera

APRIL 9, 2021

The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

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. Approach To Digital Marketing.

Digital Transformation 206

Digital Transformation Marketing Advertising Scorecard 206

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 77

Data Collection Big Data Statistics Software 77

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). You must detect when the model has become stale, and retrain it as necessary.

Marketing 362

Marketing Experimentation Metrics Testing 362

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. Financial services: Develop credit risk models. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Jet Global

AUGUST 11, 2020

Reassessing the Current Business Model. There are many benefits that can come with digital transformation, but the implementation of these changes needs to offer a clear intent and benefit to the company’s business model. In some cases, this can go as far as ushering in a new business model altogether.

Digital Transformation 90

Digital Transformation Finance Machine Learning Data Collection 90

DataKitchen

MARCH 16, 2023

Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. All you had to do was to write a few bullet points every week in the text for your report for last your boss. Where is your metrics report? What should be in that report about your data team?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

Jet Global

FEBRUARY 8, 2023

February 8, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Power ON , a US-based software company that transforms Microsoft Power BI into a comprehensive planning and data collection solution.

Finance 59

Finance Data Collection Software Forecasting 59

CIO Business Intelligence

SEPTEMBER 19, 2023

To gain a better understanding of how companies are putting AI to practical use, consultancy Deloitte surveyed 2,620 global business leaders, across 13 countries, as part of its Fueling the AI Transformation report. For other companies, AI use in customer service has also been driven by consumer’s increased expectations.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

CIO Business Intelligence

JANUARY 24, 2024

“Establishing data governance rules helps organizations comply with these regulations, reducing the risk of legal and financial penalties. Clear governance rules can also help ensure data quality by defining standards for data collection, storage, and formatting, which can improve the accuracy and reliability of your analysis.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations.

Machine Learning 220

Machine Learning Risk Management Statistics 220

CIO Business Intelligence

OCTOBER 4, 2022

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. Putting data in the hands of the people that need it. more machine learning use casesacross the company.

Machine Learning 114

Machine Learning Data Architecture Uncertainty Data-driven 114

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. Special feature: in-memory storage to boost data processing. Access to Essential Information.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

Smart Data Collective

OCTOBER 30, 2021

Last year, one expert reported that Netflix used big data to grow to become a $100 billion company. This shouldn’t surprise anybody, because big data has been instrumental in their business model since the day the company was launched. But what data does it actually process? Is it only watch history?

Big Data 114

Big Data Data Collection Testing Modeling 114

Cloudera

MARCH 29, 2022

Hybrid cloud is the Model of Choice. They want the computing power, cost efficiencies, and other advantages of public cloud – while retaining the flexibility, control, and security of private cloud and on-premises data centers. . What makes (or breaks) a hybrid data cloud?

Cost-Benefit 93

Cost-Benefit Strategy Data Science Data Processing 93

Cloudera

AUGUST 12, 2021

A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. A 2020 retention report by the Work Institute revealed that over 42 million employees in the US left their jobs voluntarily in 2019, and this trend appeared to be increasing.

Data-driven 107

Data-driven Manufacturing Insurance Risk Management 107

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 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

CIO Business Intelligence

FEBRUARY 8, 2023

As a result, numerous essential concerns like data collecting and reporting, decision-making, and data optimization are being addressed. Distributed teams and hybrid work models are becoming standard. As customer experience continues to improve, support is needed for the workforce that drives it.

ROI 98

ROI Measurement Data Processing Strategy 98