CIO Business Intelligence

APRIL 16, 2024

Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. The detailed data must be tagged and mapped to specific processes, operational steps, and dashboards; pressure data A maps to process B, temperature data C maps to process D, etc.

Manufacturing 134

Manufacturing Digital Transformation Risk Dashboards 134

IBM Big Data Hub

DECEMBER 18, 2023

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management. ” can be answered by geospatial data and GIS.

Internet of Things 98

Internet of Things IoT Forecasting Visualization 98

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network).

Dashboards 80

Dashboards Statistics Data Collection Business Intelligence 80

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. This helps you process real-time sources, IoT data, and data from online channels.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Sisense

OCTOBER 15, 2020

The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. The best architecture for that is called “event sourcing.”

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

JUNE 20, 2022

Designed with controllers, sensors, gateways, real-time dashboards, and custom maintenance roles dubbed ‘Personas,’ Otis One serves roughly one third of Otis’ 2.1 IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling.

Internet of Things 104

Internet of Things IoT Manufacturing Data Lake 104

AWS Big Data

MARCH 15, 2023

Processing and analyzing log and Internet of Things (IoT) data can be challenging, especially when dealing with large volumes of real-time data. For example, by using Kinesis Data Firehose to ingest data from IoT devices, you can stream data directly into Elastic for real-time analysis.

IoT 84

IoT Dashboards Visualization Internet of Things 84

Rocket-Powered Data Science

JULY 14, 2023

As the number of sensors in business and industry environments began to increase dramatically, including ubiquitous IoT (Internet of Things) and data sourcing through APIs, so have the number of analytics applications multiplied and become embedded within more business enterprise processes.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

AWS Big Data

JUNE 29, 2023

Configure streaming data In the streaming domain, we’re often tasked with exploring, transforming, and enriching data coming from Internet of Things (IoT) sensors. To generate the real-time sensor data, we employ the AWS IoT Device Simulator. We deploy the IoT Device Simulator using the following Amazon CloudFront template.

Data Analytics 76

Data Analytics Analytics IoT Data Lake 76

datapine

NOVEMBER 19, 2019

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

NOVEMBER 29, 2022

Reducing complexity is particularly important as building new customer experiences; gaining 360-degree views of customers; and decisioning for mobile apps, IoT, and augmented reality are all accelerating the movement of real-time data to the center of data management and cloud strategy — and impacting the bottom line.

Data Architecture 92

Data Architecture Data Integration IoT Strategy 92

IBM Big Data Hub

DECEMBER 1, 2023

This was accomplished using a packaged hybrid cloud solution like Red Hat® OpenShift® or middleware and IT management tools to create a single API or dashboard. In the event of a catastrophe, the cloud provider can implement and orchestrate the company’s DR plan to ensure business continuity. IoT devices ).

Data Processing 82

Data Processing Cost-Benefit Digital Transformation Testing 82

datapine

NOVEMBER 19, 2019

This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Resources can be optimized through this type of sharing by allowing users to access reports, dashboards, and data that can possibly be just what they require to complete a task or analysis. Author Bio: .

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Cloudera

JUNE 29, 2023

Incorporate data from novel sources — social media feeds, alternative credit histories (utility and rental payments), geo-spatial systems, and IoT streams — into liquidity risk models. Use predictive analytics and ML to formalize key intraday liquidity metrics and monitor liquidity positions in real time.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

Cloudera

SEPTEMBER 18, 2020

Supply chain visibility – COVID may accelerate deployment of IoT devices, data, and analytics to improve real-time visibility across the entire supply chain from a ‘track and trace’ perspective. Companies need to be more agile and proactive, able to react quickly to events and data that changes in such short time frames. .

Manufacturing 83

Manufacturing IoT Forecasting Machine Learning 83

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. That way, any unexpected event will be immediately registered and the system will notify the user. Data exploded and became big. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JANUARY 23, 2024

For example, manufacturers should capture how predictive maintenance tied to IoT and machine learning saves money and reduces outages. Faster decision-making can impact sales, for example, when retail managers use dashboards to change product placements and pricing based on local conditions.

Measurement 123

Measurement Digital Transformation KPI Metrics 123

CIO Business Intelligence

JUNE 16, 2022

Dashboards help users plan their tasks and avoid falling behind. Tools such as the no-code process modeler called Studio, however, can track all forms of business events, offering more than 60 widgets that can be strung together to model any business process. They also make it simpler for managers to organize large teams.

Management 103

Management Insurance Software Digital Transformation 103

IBM Big Data Hub

NOVEMBER 30, 2023

“In addition to helping us set up the SOC, IBM also helped in building baselines, use cases and dashboards, which resulted in quicker go-to-market for us. The in-scope sources have also increased ­to over 1000 event sources, including firewalls, DLP, WAF, SaaS applications and cloud deployments. What is the next frontier?

Cost-Benefit 67

Cost-Benefit Digital Transformation Data-driven Strategy 67

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. The parser also has other capabilities, including sorting events by time, removing dedicates, and merging multiple logs. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

Cloudera

APRIL 20, 2021

It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

Analytics 94

Analytics Unstructured Data IoT Visualization 94

erwin

JUNE 11, 2020

These hospitals are making use of dashboards that provide summary information on hospital patient trends, treatment costs, and waiting times. Businesses, both small and large, have made use of dashboards to monitor and illustrate transaction trends and product consumption rates. Healthcare. Apply real-time data in marketing strategies.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

AWS Big Data

MARCH 1, 2023

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an event streaming platform that you can use to build asynchronous applications by decoupling producers and consumers. The solution provides an easy-to-configure dashboard in Amazon Managed Grafana for various critical operation metrics, as demonstrated in the following video.

Management 72

Management Metrics Dashboards Visualization 72

CIO Business Intelligence

MAY 24, 2022

Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 76

Data-driven Data Lake Data Warehouse Cost-Benefit 76

Jet Global

JUNE 5, 2019

BI software offers enterprise businesses the opportunity to connect disparate data sources into one unified source, collate and structure the data, and offer an interface for end-users to extract reports and dashboards that can drive more informed business decisions. to analyze past events to forecast future events.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Cloudera

JANUARY 20, 2021

This story will show how data is collected, enriched, stored, served, and then used to predict events in the car’s manufacturing process using Cloudera Data Platform. These insights will deliver dashboards, reports and predictive analytics that drive high value manufacturing use cases.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

IBM Big Data Hub

DECEMBER 20, 2023

These include single consoles or dashboards that help create a single pane of glass (SPOG) so teams can easily view and control resources. A hybrid cloud setting is ideal for extensive cloud storage and cloud backup, as both capabilities ensure business continuity and data recovery (BCDR) to protect sensitive data in the event of a disaster.

Strategy 96

Strategy Cost-Benefit Digital Transformation Optimization 96

CIO Business Intelligence

AUGUST 15, 2023

But the event yielded an even bigger result in form of PowerInsights, an interactive geospatial visualization, analytics, and AI tool that helps the company identify potential new customers and offer other new market opportunities. Oshkosh tracks manufacturing assets with IoT Organization: Oshkosh Corp. Anu Khare / Oshkosh Corp.

IT 88

IT Manufacturing IoT Cost-Benefit 88

Jet Global

MAY 9, 2024

Solutions like AWS Pipeline from Amazon and Logi Symphony from insightsoftware leverage automation and user-friendly dashboards to help ensure that datasets are available in the right format, at the right time, and in the right place for decision-making and analysis.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

O'Reilly on Data

MARCH 24, 2020

If you’re basing business decisions on dashboards or the results of online experiments, you need to have the right data. This need will grow as smart devices, IoT, voice assistants, drones, and augmented and virtual reality become more prevalent. Why is high-quality and accessible data foundational?

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

Jet Global

JULY 2, 2019

This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios. All sources of data within your enterprise are tributaries for your data lake, which will collect all of your data, regardless of form, function, size, or speed. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Sisense

MAY 11, 2021

Let’s say you want to subject a dataset to some form of anomaly detection; your model might take the form of a singular event stream that can be read by an anomaly detection service. For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed. displaying BI insights for human users).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

FEBRUARY 21, 2023

Because business vaults still don’t satisfy reporting needs, enterprises create a data mart after the business vault to satisfy dashboarding needs. Advantages of using the hybrid model With this model, structural information is segregated from descriptive information to promote flexibility and avoid re-engineering in the event of a change.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

datapine

NOVEMBER 19, 2019

This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Resources can be optimized through this type of sharing by allowing users to access reports, dashboards, and data that can possibly be just what they require to complete a task or analysis. Author Bio: .

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20