Smart Data Collective

MAY 21, 2021

The good news is that there are ways to use Agile more effectively with you are outsourced development team by using big data. Big data can play a surprisingly important role with the conception of your documents. Data analytics technology can help you create the right documentation framework.

Software 100

Software Data Analytics Analytics Data mining 100

IBM Big Data Hub

APRIL 19, 2024

Sensoring and monitoring also contribute to the direct measurement of sustainability environmental, social and governance (ESG) metrics such as energy efficiency and greenhouse gas emission or wastewater flows. Machine connectivity through Internet of Things (IoT) data exchange enables condition-based maintenance and health monitoring.

Management 85

Management Internet of Things Risk IoT 85

Rocket-Powered Data Science

JULY 19, 2023

What could be faster and easier than on-prem enterprise data sources? For example, an exploration of historical data may reveal that an increase in customer satisfaction (or dissatisfaction) with one particular product is correlated with some other satisfaction (or dissatisfaction) metric downstream at a later date.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Real-time tracking systems, often enabled by Internet of Things (IoT) devices, help companies monitor their supply chain accurately and immediately.

Strategy 81

Strategy Management Forecasting Cost-Benefit 81

AWS Big Data

FEBRUARY 6, 2023

Let’s look at some key metrics. After analyzing YARN logs by various metrics, you’re ready to design future EMR architectures. He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

FineReport

NOVEMBER 6, 2021

Facing the era of big data, we witness that large screens not only transmit data signals or images directly to the screen, but also conduct data analysis of information, so as to achieve efficient display. It also supports a large number of different data sources, and boasts many features as below: Features.

Dashboards 52

Dashboards Key Performance Indicator Internet of Things Visualization 52

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. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

IBM Big Data Hub

JUNE 20, 2023

By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime. Reduced maintenance costs and downtime: Monitor assets in real time, regardless of complexity.

Strategy 71

Strategy Management Cost-Benefit IoT 71

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. To take advantage of this data and build an effective inventory management and forecasting solution, retailers can use a range of AWS services.

Forecasting 76

Forecasting Management IoT Data-driven 76

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Cloudera

APRIL 7, 2021

Finally, the connected car, connected home, and connected self are generating an enormous amount of data. These “Internet of Things” (IoT) devices contain sensors that can provide insights into how customers live, work, drive, exercise, sleep, and more. External Data/Big Data/Data Sharing.

Insurance 59

Insurance Digital Transformation Internet of Things IoT 59

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 123

Business Analytics Analytics Forecasting Business Analysis 123

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. In this post, we outline the steps to make migrate the data between provisioned OpenSearch Service domains and OpenSearch Serverless.

Metadata 95

Metadata Data Processing Dashboards IoT 95

IBM Big Data Hub

JANUARY 8, 2024

The rise of advanced digital technologies Technological developments improving organizations include automation , quantum computing and cloud computing , artificial intelligence , machine learning and the Internet of Things (IoT). The right technology creates an opportunity to create new digital solutions and improve operational efficiency.

Digital Transformation 60

Digital Transformation Strategy Key Performance Indicator Cost-Benefit 60

IBM Big Data Hub

FEBRUARY 7, 2024

This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. .” Similar to “carbon neutral” in the context of emissions, nature positive refers to stopping, avoiding and reversing environmental destruction.

Reporting 89

Reporting Internet of Things Cost-Benefit Data-driven 89

Jet Global

JULY 2, 2019

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. This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

IBM Big Data Hub

JUNE 29, 2023

In order to take a proactive approach to asset reliability, maintenance managers rely on two widely used metrics: mean time between failure, (MTBF) and mean time to repair (MTTR). How does asset reliability work? Both KPIs help predict how assets will perform and assist managers in planning preventive and predictive maintenance.

Cost-Benefit 80

Cost-Benefit Measurement Management Predictive Analytics 80

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Trend #5: The rise of mobile EAM solutions Mobile technology is making EAM more accessible than ever.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 50

Enterprise Data Lake Data mining IoT 50

IBM Big Data Hub

JANUARY 24, 2024

The OSSTMM includes key features, such as an operational focus, channel testing, metrics and trust analysis in its methodology. It is meant to be a framework for providers to find and resolve vulnerabilities, such as sensitive data and issues surrounding authentication.

Testing 72

Testing Risk Reporting IoT 72

IBM Big Data Hub

FEBRUARY 23, 2024

The technology’s ability to adapt and learn from interactions further refines customer support metrics, including response time, accuracy of information provided, customer satisfaction and problem-resolution efficiency. Prioritizing tracking metrics accurately measures the success of your implementation.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

AWS Big Data

MARCH 28, 2024

Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more, and Kinesis enables you to cost-effectively process streaming data at any scale. This allows you to act on data locally and aggregate and filter device data.

Management 80

Management Broadcasting IoT Metrics 80

AWS Big Data

MAY 16, 2023

He has more than 20 years’ experience in the energy and power industries, designing, leading, and building different smart grid projects, such as distributed energy resources, microgrid, AI/ML implementation for resource optimization, IoT smart sensor application for equipment predictive maintenance, EV car and grid integration, and more.

Dashboards 78

Dashboards Statistics Data Collection Business Intelligence 78

AWS Big Data

JUNE 12, 2024

In today’s data-driven world, organizations are continually confronted with the task of managing extensive volumes of data securely and efficiently. Whether it’s customer information, sales records, or sensor data from Internet of Things (IoT) devices, the importance of handling and storing data at scale with ease of use is paramount.

Dashboards 91

Dashboards Visualization Sales IoT 91

AWS Big Data

JUNE 3, 2024

Whether your data streaming application is collecting clickstream data from a web application or recording telemetry data from billions of Internet of Things (IoT) devices, streaming applications are highly susceptible to a varying amount of data ingestion. and 120,000 as upper limits).

Optimization 104

Optimization Metrics Data Processing Testing 104

IBM Big Data Hub

JULY 12, 2023

Create the right response: The organization’s leaders will want to determine a reasonable recovery time objective (RTO) and recovery point objective (RPO) for each service and data category their company faces. RTO is usually measured with a simple time metric, such as days, hours or minutes.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

FEBRUARY 20, 2024

You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. However, you may have to integrate data from multiple IoT sensor devices to derive analytics like equipment health information from all the sensors based on common data elements.

IoT 94

IoT Analytics Prescriptive Analytics Internet of Things 94

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

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 70

Management Metrics Dashboards Visualization 70

Rocket-Powered Data Science

JULY 6, 2021

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. 5) The emergence of Edge-to-Cloud architectures clearly began pushing Industry 4.0 will look like).

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

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. Elastic and Amazon Kinesis Data Firehose are two powerful tools that can help make this process easier. Partner Solutions Architect in Data and Analytics at AWS.

Dashboards 82

Dashboards IoT Visualization Internet of Things 82

IBM Big Data Hub

JULY 12, 2023

OEE is a metric used to measure the effectiveness and performance of manufacturing processes or any individual piece of equipment. TEEP is also a metric used in manufacturing and production environments to measure the overall efficiency and effectiveness of equipment or a production line. What is overall equipment effectiveness (OEE)?

Manufacturing 60

Manufacturing Metrics Measurement Optimization 60

AWS Big Data

NOVEMBER 14, 2023

As detailed in our whitepaper on building a modern data streaming architecture on AWS, Kinesis Data Streams serves as the backbone to serverless and real-time use cases such as personalization, real-time insights, Internet of Things (IoT), and event-driven architecture.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Sisense

MAY 11, 2021

Reporting Reporting contains the flattest and most cleaned version of our data. It often will collapse the metrics in a fact table to the level of a single dimension through a form of aggregation or lookback window. Importantly, both workflows for data analytics are supported by a set of data models that follow the same data pipeline.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

JULY 5, 2023

Today, asset management software helps companies maintain the most important information about their assets—such as condition, maintenance and repair history, location, licensing and performance metrics—more accurately and efficiently. What follows are some asset lifecycle management best practices that companies rely on.

Strategy 53

Strategy Management IoT Cost-Benefit 53

IBM Big Data Hub

JANUARY 29, 2024

This operating model increases operational efficiency and can better organize big data. It also cuts carbon emissions by roughly 150 metric tons per year. Bank representatives worked closely with IBM Garage designers, architects, and analysts to collaborate across all disciplines of the project and analyze metrics.

Digital Transformation 66

Digital Transformation Consulting Internet of Things Recreation/Entertainment 66