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

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. It features support for creating and visualizing decision tree–driven customer interaction flows. Clinical DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

datapine

JUNE 15, 2023

A performance report is an analytical tool that offers a visual overview of how a business is performing in a specific strategy, project, or department. Plus, the real-time nature of these analytical tools enables them to spot any issues and tackle them immediately. What Is A Performance Report? Let’s explore it in detail below.

Reporting 207

Reporting Cost-Benefit Dashboards Sales 207

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

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

FineReport

DECEMBER 23, 2019

The market share of advanced analytics and predictive analytics accounted for 27.2%. Users generally have strong demand for newer business intelligence application scenarios such as data visualization , large screen dashboard, and data maps. ” Why are more and more customers choosing FanRuan?

Marketing 95

Marketing Business Intelligence Manufacturing Software 95

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Sisense

MARCH 27, 2019

Real time business intelligence is the use of analytics and other data processing tools to give companies access to the most recent, relevant data and visualizations. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

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. The visual coding solution also supports various AI algorithms for automating some decisions.

Management 120

Management Insurance Software Digital Transformation 120

Cloudera

JANUARY 5, 2023

This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services. What will determine the winners from the laggards will hinge on the speed at which predictive analytics can be executed, and the cost-benefit ratio related to these algorithmic paradigms.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. These programs and systems are great at generating basic visualizations like graphs and charts from static data. Quantitative data is the bedrock of your BI and analytics.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

FineReport

APRIL 26, 2023

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.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

JANUARY 14, 2021

A lot of new predictive analytics models use data from previous projects to identify future problems. Tips for Improving Video Production with Data Analytics Tools. and check out any materials your software manufacturer has to offer. Recognize potential problems. Narrow down footage with a first pass.

Data-driven 69

Data-driven Big Data Machine Learning Technology 69

Smarten

DECEMBER 3, 2023

Users can replace guesswork and opinion with fact-based presentations and recommendations for more measurable analysis of trends, product pricing, financial investment, manufacturing and production and all other business factors.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

JUNE 29, 2018

Manufacturing – Has the cycle time or defect instance been reduced following a particular process change. Business Problem: A manufacturing unit manager want to know if there is a statistically significant difference in cycle time pre and post a particular process change. Use Case – 1.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

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

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. Data science requires special skills in the areas of data cleansing, data visualization, algorithm selection, diagnostics, and more. Idoine, Erick Brethenoux, 12 June 2018.

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. We offer a 14-day free trial.

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 113

Manufacturing Data Warehouse Sales Predictive Analytics 113

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 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

datapine

OCTOBER 30, 2019

Users can also easily export these dashboards and data visualizations into visually stunning reports that can be shared via multiple options such as automating e-mails or providing a secure viewer area, even embedding reports into your own application, for example. They are also increasing analytic capabilities.

Reporting 127

Reporting Visualization Dashboards KPI 127

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. – Eric Siegel, author, and founder of Predictive Analytics World.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

MARCH 31, 2022

AI comes handy for managing inventory, manufacturing, production and marketing. Predictive Analytics: Predictive analytics is the most talked about topic of the decade in the field of data science. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smarten

JUNE 26, 2018

For example, vehicle dealerships and manufacturers have cross marketing campaigns with oil and gas companies for obvious reasons. Basket data analysis – To analyze the association of purchased items in a single basket or single purchase.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

For example, vehicle dealerships and manufacturers have cross marketing campaigns with oil and gas companies for obvious reasons. Basket Data Analysis – To analyze the association of purchased items in a single basket or single purchase.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Analytics 40

Analytics Forecasting Statistics Sales 40

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. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

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. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. How do you think Technology Business Management plays into this strategy?

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 Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 4, 2021

SAP Analytics Cloud (Embedded Analytics) – The SAP Analytics Cloud (SAC) was the evolution of several components aimed at business planning, predictive analytics, and data visualization.

Reporting 52

Reporting IT Finance Data Warehouse 52