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

AWS Big Data

MARCH 1, 2023

Monitoring of different Amazon MSK metrics is critical for efficient operations of production workloads. Amazon MSK gathers Apache Kafka metrics and sends them to Amazon CloudWatch , where you can view them. Amazon MSK metrics helps monitor critical tasks while operating applications. Why is Kafka monitoring critical?

Management 72

Management Metrics Dashboards Visualization 72

DataKitchen

APRIL 13, 2021

Naveego — A simple, cloud-based platform that allows you to deliver accurate dashboards by taking a bottom-up approach to data quality and exception management. A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Production Monitoring Only. Locke Data — Data science services.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Smart Data Collective

JUNE 16, 2022

However, the rapid technology change, the increasing demand for user-centric processes and the adoption of blockchain & IoT have all positioned business analytics (BA) as an integral component in an enterprise CoE. Until now, they were proactively involved to maximize IT efficiencies and accelerate cost savings in general.

Business Analytics 122

Business Analytics Analytics Forecasting Business Analysis 122

AWS Big Data

FEBRUARY 27, 2024

OSI is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to OpenSearch Service domains and OpenSearch Serverless collections. Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post.

Metadata 97

Metadata Data Processing Dashboards IoT 97

AWS Big Data

FEBRUARY 6, 2023

Amazon QuickSight dashboards showcase the results from the analyzer. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget. This step creates datasets on QuickSight dashboards in your AWS target account. Let’s look at some key metrics.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. This helps you process real-time sources, IoT data, and data from online channels. However, you aren’t limited to only these services.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

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

AWS Big Data

MAY 16, 2023

QuickSight meets varying analytics needs with modern interactive dashboards, paginated reports, natural language queries, ML-insights, and embedded analytics, from one unified service. The smart sensor application solution must be already deployed in the same AWS account and Region that you will use for the dashboards.

Dashboards 80

Dashboards Statistics Data Collection Business Intelligence 80

AWS Big Data

OCTOBER 26, 2023

High-concurrency workloads – A growing use case we see is using Amazon Redshift to serve dashboard-like workloads. The prototypical example of this is an Amazon Redshift-backed BI dashboard that has a spike in traffic Monday mornings when a large number of users start their week. The results are shown in the following chart.

Data Warehouse 98

Data Warehouse Cost-Benefit Dashboards Optimization 98

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 105

Data Architecture Data Integration IoT Strategy 105

CIO Business Intelligence

MAY 28, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing. Here, McGlennon says governing controls, instrumentation, and observability metrics are key.

Insurance 139

Insurance Machine Learning Digital Transformation Cost-Benefit 139

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. For instance; they enable you to set up business intelligence alerts , share public or embedded dashboards with a flexible level of interactivity. Data exploded and became big. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

FEBRUARY 6, 2023

The results of the log analyzer reveal Hadoop workload insights with various views and metrics of the Hadoop applications shown in Amazon QuickSight dashboards, which leads to the design of a future EMR cluster. The QuickSight timeline dashboard shows the peak time job runs because of the daily batch job.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

CIO Business Intelligence

AUGUST 15, 2023

And it yields multiple business metric improvements, such as limiting surplus inventory. Oshkosh tracks manufacturing assets with IoT Organization: Oshkosh Corp. Project: Improving Manufacturing Efficiency through IoT Enabled Asset Tracking IT Leader: Anu Khare, SVP & CIO Oshkosh Corp., Anu Khare / Oshkosh Corp.

IT 96

IT Manufacturing IoT Cost-Benefit 96

CIO Business Intelligence

MAY 27, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing. Here, McGlennon says governing controls, instrumentation, and observability metrics are key.

Insurance 94

Insurance Machine Learning Digital Transformation Cost-Benefit 94

IBM Big Data Hub

JUNE 30, 2023

KPI dashboards or MRO inventory optimization) and audit trails are also included in CMMS software solutions. They store large amounts of data that can be analyzed and tracked, with organizations customizing their KPIs and metrics according to their specific needs.

Management 63

Management Cost-Benefit Enterprise IoT 63

Sisense

MAY 11, 2021

To support these advanced use cases, data was structured in Cloud Data Teams by Sisense (formerly Periscope Data) to simplify SQL queries on dashboards by creating varying levels of granularities in tables visible to the tool. For starters, the rise of the Internet of Things (IoT) has created immense volumes of new data to be analyzed.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

FineReport

APRIL 9, 2021

The underlying idea is to find the differences between goals and actual results by comparing corresponding metrics. FineReport is a reporting tool tailored for enterprises with specially designed solutions for finance , sales, IoT, etc. Dupont Analysis Dashboard. Financial index analysis dashboard >> Click to check more details.

Reporting 98

Reporting Finance Dashboards Enterprise 98

IBM Big Data Hub

AUGUST 8, 2023

Analyzing asset performance metrics helps optimize maintenance schedules, identify asset improvement opportunities and drive overall operational efficiency. Asset performance analysis: Leverage EAM software’s analytical capabilities to analyze asset performance data, identify trends and make informed decisions.

Software 52

Software Enterprise Management Cost-Benefit 52

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. The pipeline should be monitored to ensure it runs smoothly and efficiently.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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

Data Insight

OCTOBER 27, 2021

Manufacturing: Forecasting expected demand, process automation, precision cutting, analysis of IoT data. For example, looking at groups of data to compare certain metrics and then taking action or highlighting insights to employees, or searching a large breadth of data to find new perspectives on business challenges.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

Business Over Broadway

MAY 22, 2019

IoT Artificial Intelligence. I conducted a customer experience best practices study and found that loyalty leading companies focus analytics efforts on customer understanding rather than internal metrics. Remember that digital transformation is about transforming your business and operating models with technology.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. The majority of healthcare clinical quality data warehouses are built on top of dimensional modeling techniques.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67