CIO Business Intelligence

FEBRUARY 20, 2024

In the face of increased competition, shrinking profit margins, and increasing ESG obligations, manufacturers are looking for ways to make products better, faster, and with less waste. As the manufacturing sector evolves in these and other ways, generative AI tools like Microsoft Copilot will come into their own. Product optimisation.

Manufacturing 98

Manufacturing Sales Risk Management Forecasting 98

Smart Data Collective

DECEMBER 18, 2020

Another benefit of advances in data technology has to do with food and beverage labeling. Data analytics assists with everything from enhancing labeling software to extracting more data for compliance purposes. As IBM pointed out, this is one of the reasons that big data has improved food and beverage safety.

Data Analytics 131

Data Analytics Analytics Big Data Data mining 131

CIO Business Intelligence

APRIL 26, 2022

Quality is another important aspect of manufacturing. Whether you’re talking about components on a high-speed production line or levels in filling machines, every facet of the manufacturing industry focuses on quality detection and quality assurance. How can we improve manufacturing personnel and facility safety?

Manufacturing 98

Manufacturing Optimization Metrics Deep Learning 98

CIO Business Intelligence

JULY 12, 2023

Manufacturing processes are industry dependent, and even within a sector, they often differ from one company to another. Moreover, lowering costs is not the only way manufacturers gain a competitive advantage. Companies across a multitude of industries are now using AI to improve their manufacturing processes.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

NOVEMBER 11, 2024

Saudi Arabia has announced a 100 billion USD initiative aimed at establishing itself as a major player in artificial intelligence, data analytics, and advanced technology. Like Alat, Project Transcendence will co-invest with international firms and large technology companies to maximize its impact and reach.

Manufacturing 128

Manufacturing Technology Modeling Strategy 128

Smart Data Collective

APRIL 23, 2022

Kenneth Taylor wrote an insightful article on the ways that big data is transforming the Superbowl. It is also how a skate manufactures may begin to offer wide roller skates. Big Data and Skating. Data analytics technology has been applied to the skating industry, especially when it comes to scouting.

Analytics Technologies 128

Analytics Technologies Broadcasting Data Analytics Technology 128

DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Testing 241

Testing Big Data Statistics Manufacturing 241

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Supply-side. Automation opportunities.

Manufacturing 92

Manufacturing Forecasting Digital Transformation Sales 92

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

datapine

JUNE 5, 2019

However, when it comes to data analytics, a modern dashboard consolidates all critical insights from various data sources through data connectors , and presents it in a dynamic visual format. and industries (healthcare, retail, logistics, manufacturing, etc.). 4) Manufacturing Production Dashboard.

Dashboards 316

Dashboards KPI Sales Visualization 316

DataKitchen

NOVEMBER 29, 2021

If data analytics is like a factory, the DataOps Engineer owns the assembly line used to build a data and analytic product. Most organizations run the data factory using manual labor. We group all of these methodologies underneath “Lean Manufacturing.” Rise of the DataOps Engineer.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Jet Global

JUNE 18, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. What is Big Data Analytics Software? Manufacturing. Let’s look at some of the ways: Healthcare.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jet Global

MARCH 6, 2020

The industrial manufacturing industry produces unprecedented amounts of data, which is increasing at an exponential rate. Worldwide data is expected to hit 175 zettabytes (ZB) ?by by 2025, and 90 ZB of this data will be from IoT devices. Or reporting across multiple manufacturing units? .

Manufacturing 75

Manufacturing Data-driven Finance KPI 75

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The importance of real-time data. Hi Michael, Brent, Thank you for joining us again.

Manufacturing 84

Manufacturing Forecasting IoT Machine Learning 84

Smart Data Collective

AUGUST 19, 2023

Data analytics technology has significantly improved the state of finance. The financial analytics market size was worth $7.99 We have talked about some of the many ways that data analytics technology is changing the state of finance. billion last year and is projected to be worth over $18.7 billion by 2030.

Risk 98

Risk Data Analytics Analytics Finance 98

Smart Data Collective

AUGUST 14, 2019

Our friends at Belitsoft ( a company focusing on healthcare software development ) have prepared an overview of how big data analytics can be used for the benefit of healthcare providers and patients alike. Big data analytics: solutions to the industry challenges. Big data storage.

Big Data 101

Big Data Data Analytics Analytics Internet of Things 101

DataKitchen

JULY 8, 2024

Christopher Bergh, CEO of DataKitchen, is transforming data analytics with his DataOps approach. By applying principles from agile and lean manufacturing, Bergh aims to eliminate the 70-80% waste in data processes.

Manufacturing 130

Manufacturing Testing Data Processing Data Analytics 130

DataKitchen

MARCH 8, 2023

Teams need to check more than just the raw data – they need to check the integrated data and the products of any tools using the data (e.g., Like in product manufacturing, finding and reducing errors are the keys to data and analytics manufacturing success. BI tools like Tableau, PowerBI, etc.).

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

IBM Big Data Hub

JUNE 29, 2023

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0

Manufacturing 54

Manufacturing Internet of Things Cost-Benefit Digital Transformation 54

Sisense

JANUARY 13, 2020

The modern manufacturing world is a delicate dance, filled with interconnected pieces that all need to work perfectly in order to produce the goods that keep the world running. In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. It’s easy to see why.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

ScienceSoft

MAY 8, 2018

Sensor data analytics has the potential to turn your manufacturing enterprise into a competitive business. To achieve that, first read this article and learn sensor analytics essentials.

Manufacturing 45

Manufacturing Data Analytics Analytics Enterprise 45

CIO Business Intelligence

NOVEMBER 20, 2024

This SLM helps frontline workers in manufacturing troubleshoot food and beverage assets. It provides factory floor workers and engineers with recommendations, explanations, and knowledge about specific manufacturing processes, machines, and inputs.

Manufacturing 122

Manufacturing Marketing Finance Modeling 122

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

APRIL 5, 2022

But the latest analytics tools, powered by machine learning algorithms, can help companies predict demand more effectively, enabling them to adjust production and shipping operations. Here’s how three organizations are succeeding at using data analytics to improve supply chain operations.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

Smart Data Collective

JULY 28, 2021

The supply-chain analytics market is projected to be worth over $16.8 This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation.

Data-driven 137

Data-driven Big Data Manufacturing ROI 137

DataKitchen

AUGUST 19, 2021

For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation. DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. .

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

ScienceSoft

JULY 8, 2024

As a manufacturer, you’re interested to see what data analytics can do for you? Then check out these 12 real-life examples for big data in manufacturing and see a nice and easy guide on how to start your big data action.

Manufacturing 52

Manufacturing Big Data Data Analytics Analytics 52

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

Data-driven 136

Data-driven Software Big Data Manufacturing 136

Smart Data Collective

APRIL 24, 2019

Manufacturing is a more powerful and essential part of our industries and economies than ever. But setting these vital enterprises up for maximum success and unrivaled innovation takes information — and that means gathering data. Who’s Using Analytics in Manufacturing? Monitoring Assets for Performance.

Analytics 104

Analytics Manufacturing Cost-Benefit Internet of Things 104

3AG Systems

APRIL 6, 2021

As a growing manufacturer of consumer packaged goods (CPG), improving efficiency and productivity is key to accelerating your growth trajectory. Across the manufacturing sector, automation is a common approach to efficiently scaling up production. How do you go about improving efficiency and productivity?

Manufacturing 52

Manufacturing Predictive Analytics Machine Learning Business Intelligence 52

CIO Business Intelligence

SEPTEMBER 10, 2024

Other updates to Fusion Data Intelligence include new AI-based intelligent applications for Oracle Fusion Cloud Human Capital Management (HCM) and Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) that go beyond traditional analytics and recommend actions to users in critical day-to-day workstreams.

Machine Learning 143

Machine Learning Operational Reporting Manufacturing Enterprise 143

Jet Global

OCTOBER 3, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. What is Big Data Analytics Software? Manufacturing. Let’s look at some of the ways: Healthcare.

Big Data 53

Big Data Software Data Analytics Analytics 53

Smart Data Collective

OCTOBER 13, 2020

Deloitte Analytics author Ashwin Patil recently talked about the incredible benefits of big data in the automotive sector. His article focused primarily on the applications of big data in auto manufacturing. “At However, there are plenty of other applications of big data after the manufacturing process is finished.

Data-driven 136

Data-driven Big Data Manufacturing Insurance 136

CIO Business Intelligence

JUNE 12, 2023

In an industry buffeted by constant pressure on margins, shifting trade patterns, and supply chain uncertainty, manufacturing companies are looking for any edge they can get. It can often be found in innovative uses of data. What’s more, data analytics is moving Faurecia closer to its goal of zero defects. “If

Manufacturing 52

Manufacturing Insurance Uncertainty Big Data 52