Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Today, real time business intelligence is a necessity more than a luxury, so it’s important to understand exactly what it is, and what it can do for you.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

CIO Business Intelligence

JUNE 1, 2022

Predictive analytics can foretell a breakdown before it happens. The digital twins at McLaren are also used to run simulations for the design of new parts and then to test them for performance and reliability before they are manufactured and installed in the racing cars. Intel® Technologies Move Analytics Forward.

Manufacturing 110

Manufacturing Digital Transformation Predictive Analytics Strategy 110

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated.

Data mining 136

Data mining Data-driven Statistics OLAP 136

FineReport

DECEMBER 23, 2019

According to IDC Semiannual Software Tracker for the First Half of 2019, China’s business intelligence software market size was $ 210 million in the first half of 2019, with a year-on-year increase of 24.6%. By 2023, the size of China’s business intelligence software market will reach $ 1.65 respectively.

Marketing 95

Marketing Business Intelligence Manufacturing Software 95

CIO Business Intelligence

APRIL 30, 2024

When AI is brought to the edge the analysis of sensor data from industrial machinery can predict failures or maintenance needs. Edge-based predictive maintenance reduces downtime and improves operational efficiency. Read more about the impacts AI at the edge is predicted to have on the manufacturing industry in this recent blog.

Forecasting 92

Forecasting Optimization Advertising IoT 92

datapine

JUNE 5, 2019

Enter data dashboards – one of history’s best innovations in business intelligence. and looked at the primary functions of these powerful tools, let’s examine them in a business intelligence context. When it comes to business intelligence, data dashboards play a pivotal role.

Dashboards 316

Dashboards KPI Sales Visualization 316

CIO Business Intelligence

JANUARY 25, 2024

Along these lines, predictive analytics is one field destined for AI-powered growth. User-friendly implementations have expanded the popularity of these tools—whether that be leveraging historical data and AI to maximize sales or conducting predictive maintenance on capital-intensive manufacturing equipment.

Deep Learning 107

Deep Learning Cost-Benefit Statistics Manufacturing 107

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Examples: (1) Automated manufacturing assembly line. (2) Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

JANUARY 9, 2023

But what the revolutionary high-pressure laminate (HPL) FENIX® line can’t handle is traditional HPL manufacturing. Its thin, mat surface is prone to defects when manufactured traditionally. It created a new manufacturing facility just for the FENIX product line that represents more than 50% of the company’s current business.

Manufacturing 59

Manufacturing Cost-Benefit Digital Transformation Software 59

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Augmented analytics can reduce frustration and re-work, and make your business users happy.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Cloudera

OCTOBER 4, 2023

This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value. For example: In manufacturing, fast-moving data provides the only way to detect — or even predict and prevent — defects in real time before they propagate across an entire production cycle.

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

CIO Business Intelligence

MARCH 30, 2022

There are signs of recovery – for example, another report found that new business formation has lifted 35 per cent year-on-year across the region, however businesses still face ongoing disruption into 2022 and beyond, and this is informing an Industry 4.0 for manufacturing. mentality towards transformation. Industry 4.0

Manufacturing 52

Manufacturing Uncertainty Digital Transformation Predictive Analytics 52

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 95

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 95

CIO Business Intelligence

AUGUST 30, 2022

For decades, companies around the world have been able to rely on a certain level of predictability in their supply chains. Globalization was the watchword, China played a pivotal role in manufacturing affordable goods and prices were stable. Those days are gone. Stay Ahead of Continuous and Rapid Change with a Dynamic Supply Chain.

Uncertainty 89

Uncertainty Manufacturing Predictive Analytics Modeling 89

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. Basic Business Intelligence Experience is a Must.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

CIO Business Intelligence

NOVEMBER 1, 2023

One of the first use cases of artificial intelligence in many companies, including both Michelin and Albemarle, was predictive maintenance, which at its most basic level is an algorithm trained on data collected by sensors. Companies that don’t embrace generative AI will become obsolete.”

Enterprise 124

Enterprise Digital Transformation Modeling Interactive 124

CIO Business Intelligence

APRIL 6, 2022

The industry is buzzing with bold ideas such as “the edge will eat the cloud” and real-time automation will spread across healthcare, retail, and manufacturing. Experts agree that edge computing will play a key role in the digital transformation of almost every business. But progress has been slow.

IoT 100

IoT Internet of Things Data-driven Manufacturing 100

CIO Business Intelligence

JUNE 16, 2022

Mainline business professions like those running the supply chain are some of the first to use Bizagi to automate many of the workflows tracking how parts and goods move toward manufacturing. Many standard configurations out-of-the-box are provided as a start before using the drag-and-drop Business Process Composer.

Management 116

Management Insurance Software Digital Transformation 116

CIO Business Intelligence

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. We expect within the next three years, the majority of our applications will be moved to the cloud.”

Digital Transformation 134

Digital Transformation IoT Data-driven KPI 134

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. Analytics, Artificial Intelligence, Data Management, Predictive Analytics

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

IBM Big Data Hub

FEBRUARY 2, 2023

They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. In today’s world, data warehouses are a critical component of any organization’s technology ecosystem.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Smarten

JUNE 29, 2018

Manufacturing – Has the cycle time or defect instance been reduced following a particular process change. Let’s look at two use cases to better understand the benefit of this technique in business analysis. This type of analysis can be useful in numerous situations. Use Case – 1. About Smarten.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

FineReport

APRIL 26, 2023

Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. For example, a computer manufacturing company could develop new models or add features to products that are in high demand. Descriptive Analytics is used to determine “what happened and why.”

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Sisense

OCTOBER 6, 2020

Quantitative data is often viewed as the bedrock of your business intelligence and analytics program because it can reveal valuable insights for your organization. With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory Corporation is revolutionizing flash memory semiconductor manufacturing using Cloudera to detect defective parts earlier in the manufacturing process and identify the root cause of defects several times faster. David Stodder , Senior Director, Research for Business Intelligence, TDWI. Manjeet Rege , Ph.D.,

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

CIO Business Intelligence

SEPTEMBER 2, 2022

In fact, if you watch a network news program covering a skirmish somewhere in the world and spot a formidable-looking vehicle in the background, odds are it was manufactured by the defense division of this innovative company, based in Oshkosh, Wisc. Analytics, Digital Transformation, Machine Learning, Predictive Analytics

Uncertainty 93

Uncertainty Manufacturing Data-driven Business Intelligence 93

CIO Business Intelligence

SEPTEMBER 2, 2022

In fact, if you watch a network news program covering a skirmish somewhere in the world and spot a formidable-looking vehicle in the background, odds are it was manufactured by the defense division of this innovative company, based in Oshkosh, Wisc. Analytics, Digital Transformation, Machine Learning, Predictive Analytics

Uncertainty 93

Uncertainty Manufacturing Data-driven Business Intelligence 93

Cloudera

FEBRUARY 8, 2021

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle. Data Enrichment Challenge.

Manufacturing 113

Manufacturing Data Warehouse Sales Predictive Analytics 113

datapine

MARCH 25, 2020

Automated reports completely eliminate traditional means of communicating data since they rely on business reporting software that uses cutting edge business intelligence, technology and smart features such as interactivity, a drag-and-drop interface, and predictive analytics, among others. click to enlarge**.

Reporting 209

Reporting Dashboards Manufacturing Visualization 209

CIO Business Intelligence

APRIL 22, 2024

“But we took a step back and asked, ‘What if we put in the software we think is ideal, that integrates with other systems, and then automate from beginning to end, and have reporting in real-time and predictive analytics?’” Remaking IT culture Other CIOs have pursued different tactics to build business-driven IT departments.

IT 104

IT Data-driven Strategy Consulting 104

datapine

AUGUST 29, 2022

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. An excerpt from a rave review: “The Freakonomics of big data.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Birst BI

AUGUST 23, 2018

This builds on the Birst Smart project, not only predicting what is going to happen but doing so for KPIs that we have deemed important for each industry. We have begun work in this area focusing on Healthcare, Manufacturing, and Distribution. Idoine, Erick Brethenoux, 12 June 2018.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73