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 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

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

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

JANUARY 29, 2021

This conundrum is a major challenge that the Manufacturing industry wrestles with everyday that limits meaningful ROI, scalability, or success and it’s due to the challenges and approaches Manufacturing and Industrial companies are taking when approaching Industry 4.0. To explore these Manufacturing Industry 4.0

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

JUNE 16, 2022

BPM tools help organizations create, execute, optimize, and monitor business processes. Dashboards help users plan their tasks and avoid falling behind. Its platform is already optimized for jobs such as case tracking, and compliance management is part of the model. They also make it simpler for managers to organize large teams.

Management 119

Management Insurance Software Digital Transformation 119

Sisense

MARCH 27, 2019

To successfully provide you with the best data, real-time BI tools use a combination of server-less analytics (where data is transmitted directly to a dashboard or visualization) and data warehouses. This allows dashboards to show both real-time and historic data in a holistic way. Why is Real-Time BI Crucial for Organizations?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

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

datapine

JANUARY 18, 2023

In addition, we will see how online dashboards have overthrown the static nature of classic reports and given way to a much faster, more interactive way of working with data. With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition.

Reporting 201

Reporting Metrics Dashboards Visualization 201

Sisense

JULY 29, 2020

That’s where data and analytics are vital: They can help you make the right decisions to shape your organization’s future, both near- and long-term. Using data and analytics to decelerate and treat COVID-19: Luma Health. The COVID-19 pandemic — When pivots must outpace evolution.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Birst BI

AUGUST 23, 2018

Any business user or analyst can report on this new metric through a report or dashboard. 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.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

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.

Reporting 209

Reporting Dashboards Manufacturing Visualization 209

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 114

Manufacturing Data Warehouse Sales Predictive Analytics 114

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 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

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. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

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. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

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

FineReport

APRIL 3, 2024

In today’s data-driven landscape, businesses are leaning more on BI tools , particularly BI dashboard solutions, to enhance decision-making through data visualization. These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 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. Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

The industries that are users of embedded analytics are interesting. The Business Services group leads in the usage of analytics at 19.5 And Manufacturing and Technology, both 11.6 Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 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