Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Open source solutions reduce risk.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

CIO Business Intelligence

JUNE 1, 2022

Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. Predictive analytics can foretell a breakdown before it happens. Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 billion by 2030.

Manufacturing 104

Manufacturing Digital Transformation Predictive Analytics Strategy 104

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103

Smarten

JUNE 8, 2022

In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance. What follows is a short list of sample use cases that leverage predictive analytics. Predicting Demand.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

IBM Big Data Hub

APRIL 25, 2024

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.

Cost-Benefit 60

Cost-Benefit Finance Optimization Key Performance Indicator 60

IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

B2B 68

B2B Interactive Optimization Forecasting 68

datapine

JUNE 15, 2023

On the contrary, organizations that fail to implement online data analysis tools to track and optimize their performance will simply stay behind. This time, including valuable forecasts for costs and income. Each of these KPIs is tracked in its actual value, its forecast value, and the absolute difference in number and percentage.

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

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. These DSS include systems that use accounting and financial models, representational models, and optimization models.

Data mining 131

Data mining Data-driven Statistics OLAP 131

IBM Big Data Hub

FEBRUARY 14, 2024

Process automation is often centered on efforts to optimize spend, achieve greater operational efficiency and incorporate new and innovative technologies, which often translate into a better customer experience. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

datapine

JUNE 5, 2019

Business intelligence (BI) is a term that relates to the applications, infrastructure, practices, and tools that empower businesses to access a broad range of analytical data for improvement, campaign optimization , and enhanced decision-making that maximizes performance. 4) Manufacturing Production Dashboard.

Dashboards 316

Dashboards KPI Sales Visualization 316

Smart Data Collective

JUNE 7, 2019

One of the most fascinating things about big data is its ability to optimize the design of products that have pre-dated digital technology by centuries. With the new AI models in place, less proficient design experts can create magnetic designs with optimal efficiency. Predictive analytics is helping designers tackle this challenge.

Big Data 76

Big Data Cost-Benefit Predictive Analytics Manufacturing 76

CIO Business Intelligence

FEBRUARY 16, 2023

That is the domain of AI and advanced analytics that serve a role beyond just insight and business optimization. The offensive side is how to generate revenue, all of the insights from the historical data that we have collected and, in fact, forecast the trends that are coming,” Iyengar says. The offensive side?

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

Smarten

MAY 15, 2019

With predictive analytics, the business can leverage data from various systems and software to take the guesswork out of production equipment maintenance and anticipate routine maintenance. Marketing Optimization. Predictive Analytics Using External Data. Learn More: Maintenance Management. Loan Approval.

Predictive Analytics 10

Predictive Analytics Management Analytics Cost-Benefit 10

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 75

Manufacturing Technology Internet of Things Cost-Benefit 75

IBM Big Data Hub

JULY 6, 2023

A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles. One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

bridgei2i

JULY 8, 2020

If you’re, say, selling disinfectants or essential goods, you’re wondering how to manufacture and ship these goods to the consumer. In the short run, this means they have to get their demand forecast right. Now, how do you use signals from a pre-COVID world to predict a post-COVID demand scenario?

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Birst BI

AUGUST 23, 2018

Our goal is to create science solutions that make better predictions or result in more optimal decisions. Some examples of products we have built include pricing optimization for Distribution and inventory optimization for Healthcare. Places where we have seen success is in the optimization of prices and inventory.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

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 Data Warehouse Predictive Analytics 72

Smart Data Collective

AUGUST 29, 2022

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. Top ML approaches to improve your analytics. Predictive analytics. Times are changing — for the better! Let’s dig deeper. Clustering. ?lustering

Analytics 114

Analytics Predictive Analytics Machine Learning Insurance 114

datapine

JANUARY 18, 2023

With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition. With the use of the right BI reporting tool businesses can generate various types of analytical reports that include accurate forecasts via predictive analytics technologies.

Reporting 201

Reporting Metrics Dashboards Visualization 201

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 Data Warehouse Predictive Analytics 40

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

BizAcuity

MARCH 31, 2022

Marketers also have access to several AI softwares to save time and optimize their work at every step of the funnel. Content writing, copywriting, video analytics and customer reinvestment, all have AI applications now. Integrating IoT and route optimization are two other important places that use AI. AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency.

Machine Learning 76

Machine Learning Manufacturing Cost-Benefit Deep Learning 76

Jet Global

JUNE 18, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. From healthcare to manufacturing to retail and beyond, big data analytics tools are making a dramatic impact in organizations of any size.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jedox

MARCH 7, 2023

Chemical manufacturer plans for any scenario Integrating cross-organizational data 3. Chemical manufacturer plans for any scenario Mitsui Chemicals Europe reaps the benefits of instantaneous best- and worst-case scenario planning , freeing up finance teams to focus on developing valuable strategies to adapt to each scenario.

Forecasting 52

Forecasting Sales Finance Reporting 52

Jet Global

OCTOBER 3, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. From healthcare to manufacturing to retail and beyond, big data analytics tools are making a dramatic impact in organizations of any size.

Big Data 53

Big Data Software Data Analytics Analytics 53

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. This is predictive power discovery. This is prescriptive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. For a time, I believed simulation was more useful a capability than optimization, at the time that larger firms were seeking optimization solutions. Do you play SimCity?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. The industries that are users of embedded analytics are interesting. Financial Services represent 13.0

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 23, 2024

By investing in an embedded analytics solution that features AI-powered predictive analytics, you can integrate advanced analytics directly into your customers’ platforms, enhancing the application’s value proposition to end-users and creating additional revenue streams through analytics-driven features and premium analytics functionalities.

Analytics 52

Analytics Reporting Software Predictive Analytics 52

Jet Global

MAY 4, 2021

As SAP’s primary ERP solution evolves, customers must be mindful that making the move to S/4HANA will likely impact the way they use reporting and analytics tools. After that, we will cover some of the key factors to consider as you plan your strategy for financial reporting and analytics on S/4HANA.

Reporting 52

Reporting IT Finance Data Warehouse 52