Smart Data Collective

NOVEMBER 1, 2020

Academics – for monitoring the progress of students’ academic performance. It refers to a statistical model that identifies the evolution of observable events and groups the elements. Search engines – for providing the needed search result. Dimensionality Reduction – Modifying Data. Source ].

Data Mining 346

Data Mining Visualization Artificial Intelligence Digital 346

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Reference data management. Profisee notices changes in data and assigns events within the systems. What is data management? Data management can be defined in many ways.

Data Management 220

Data Management Data Warehouse Master Data Management Digital Transformation 220

Smart Data Collective

DECEMBER 22, 2021

These efficiency-boosting applications for business are what we refer to as “business apps”. Inventory Control System: Supply chain management system that can monitor stock levels, sales, production and show real-time stock quantities. Business apps can take many shapes and forms depending on their functions and features.

Big Data 250

Big Data Supply Chain Documentation Project Management 250

Insight Software

DECEMBER 21, 2020

To do so, it is critically important to have strong reporting and monitoring tools and procedures in place to ensure that you do not cross pre-defined thresholds and that you can take quick action if and when you have to cross them. Some people refer to sector concentration risk as “industry concentration risk.”

Monitoring 98

Monitoring Supply Chain Retail Finance 98

Smart Data Collective

JULY 4, 2023

AI models can detect an increase in mentions or events within specific domains and compare them to related data points. Project monitoring and management: knowing the effectiveness of the restoration process helps understand the impact of their efforts. It is also possible to generate timely reports and store them for reference.

Artificial Intelligence 197

Artificial Intelligence Documentation Monitoring Project Management 197

Smart Data Collective

MARCH 23, 2022

For instance, it is the same case with Amazon when they recommend related products, so the term “ basket” refers to what shoppers use the most when shopping. It continuously monitors content published on social media platforms, on the web, on a specific product, and more.

Data Mining 322

Data Mining Monitoring Big Data 322

Smart Data Collective

DECEMBER 19, 2022

During the medical billing process, the patient file will be referred to using this information. Monitor Claim Adjudication. In the event that there are any outstanding charges, the patient is billed once the claim has been processed. Financial Responsibility. Patient Statement Preparation.

Healthcare 312

Healthcare Cloud Computing Documentation Digital 312

Cprime

MAY 5, 2021

Back then, application monitoring was easy compared with today. Monitoring applications with this level of complexity is a challenge , to say the least. Monitoring applications with this level of complexity is a challenge , to say the least. So, today’s application monitoring is completely different from just a few years ago.

Monitoring 52

Monitoring Cloud Computing Business Analysis Business Analysis 52

Smart Data Collective

JANUARY 25, 2022

Having an updated record of devices and their users can help to deploy security measures and make monitoring them for possible data breaches easier. There are various services that can be referred to off-load the overhead from the IT team. If your organization does not have an event response process, consider creating one.

Data Security 300

Data Security Cybersecurity Big Data Monitoring 300

Tableau

APRIL 5, 2022

With the Enterprise Deployment Guidelines, enterprise architects have a reference architecture and prescriptive implementation guide for deploying Tableau to industry standards across availability, scalability, security, and performance. . or later, the reference architecture has a tiered topology. Beginning with Tableau 2022.1,

Monitoring 98

Monitoring Government Data Management 98

Tableau

APRIL 5, 2022

With the Enterprise Deployment Guidelines, enterprise architects have a reference architecture and prescriptive implementation guide for deploying Tableau to industry standards across availability, scalability, security, and performance. . or later, the reference architecture has a tiered topology. Beginning with Tableau 2022.1,

Monitoring 98

Monitoring Government Data Management 98

Astera

NOVEMBER 28, 2023

This highlights the need for effective data pipeline monitoring. Data pipeline monitoring enhances decision-making, elevates business performance, and increases trust in data-driven operations, contributing to organizational success. What is Data Pipeline Monitoring?

Monitoring 40

Monitoring Data Quality Government Healthcare 40

Agilemania

FEBRUARY 22, 2022

When everyone in a DevOps team is focused on security, this is referred to as DevSecOps. Continuous Monitoring. Furthermore, Docker containers are used in continuous monitoring to emulate the full test environment. DevOps monitors and verifies every stage in the software development cycle. Continuous Development .

E-Commerce 98

E-Commerce Monitoring Agile Design Thinking 98

Cprime

DECEMBER 8, 2020

Kubernetes then automatically allocates resources, manages service discovery, analyzes individual resources to monitor their health, and performs other tasks as needed to facilitate successful deployment. At the same time, it monitors resource capacity and makes sure that the node maintains optimal performance. The Control Plane.

Monitoring 98

Monitoring 98

Agilemania

JULY 5, 2022

Scope : Project Scope refers to documenting your project where you will define goals, deadlines, and project deliverables. Risks : Project Risks are inevitable events that could derail your project. This method helps in monitoring the project timeline and budget. Analogous Estimation.

Agile 98

Agile Planning Documentation Project Management 98

Data Pine

AUGUST 19, 2020

Inventory metrics are indicators that help you monitor, measure, and assess your performance – and thus, give you some keys to optimize your processes as well as improve them. If you’re centered only on monitoring numbers, without focusing on the human aspect, you risk business bottlenecks in the long run.

Supply Chain 114

Supply Chain Retail Monitoring Visualization 114

Whizlabs

APRIL 15, 2021

AWS Lambda Documentation over the official website of AWS is highlighting the detailed explanations on the definitions, developer guide, API reference, and operations of Lambda. It monitors the fleet’s health and checks on the provisioning capacity.

Documentation 72

Documentation Monitoring Data Analytics Data Analytics 72

Whizlabs

DECEMBER 16, 2020

Splunk is proprietary software that provides a web-based interface for searching, monitoring, and evaluating machine-based big data. Monitoring of business metrics. Splunk helps in monitoring, analyzing, search, and visualization of machine-generated data in real-time. Storage and retrieval of data for later applications.

Big Data 91

Big Data Monitoring Visualization Real-time Data 91

Sisense

MAY 12, 2020

Highcharts: Strong community and API reference. Beyond the opening list of standard features, Highcharts’ high points include: Excellent API reference, and community showcase. In the following example, a country’s export dependency on other countries is highlighted on mouseover event: source. amCharts: Great for touchscreens.

Visualization 98

Visualization Data Visualization Embedded Analytics Documentation 98

Domo

MAY 7, 2021

Google Analytics Realtime Connector : Monitor activity as it happens on your site or app from Domo so you can optimize your site in real time. Google Calendar Connector : Find and view public calendar events and ACL Feeds in Domo.

Monitoring 98

Monitoring Planning Data Management 98

Whizlabs

APRIL 4, 2021

The first thing that comes to mind when speaking about AWS Kinesis basics refers to its definition. The most interesting facet about Amazon Kinesis refers to the fact that it enables the processing and analysis of data upon arrival. The next important thing that comes forward in AWS Kinesis advanced concepts refers to its components.

Real-time Data 64

Real-time Data Data Analytics Data Analytics Monitoring 64

Tableau

OCTOBER 26, 2021

Agility: This workstream is focused on analytics deployment, monitoring, and maintenance. For example, building out a robust library of onboarding and reference resources helps the community self-serve and answer commonly asked questions.” Proficiency, for Illumina, was largely around documentation and standardization,” Courtney said.

Government 101

Government Agile Documentation Data Governance 101

Data Pine

NOVEMBER 19, 2019

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. That way, any anomaly is identified with high accuracy, as it learns from historical trends and patterns: every unexpected event will be notified, and an alert sent.

Artificial Intelligence 111

Artificial Intelligence Vision Banking Retail 111

GAVS Technology

AUGUST 5, 2021

It basically refers to the online consultation between a doctor and a patient. It can be done through an electronic scale, a vital sign monitor, a glucometer, or any other device that can effectively monitor bio-parameter. The architectures mentioned below are reproduced from the Microsoft site for reference purposes.

Healthcare 52

Healthcare Monitoring Data Mining Documentation 52

The BAWorld

NOVEMBER 4, 2024

BPMN is the visual language that bridges the gap between stakeholders’ requirements and the workflow which includes actions, events, activities, artifacts, and connections between the objects. Flow Objects Gateways Decision points that can change the course of events. So, Why is it used ? The BPMN 2.0

Process Modelling 52

Process Modelling Business Process Management Visualization UML 52

Tableau

OCTOBER 26, 2021

Agility: This workstream is focused on analytics deployment, monitoring, and maintenance. For example, building out a robust library of onboarding and reference resources helps the community self-serve and answer commonly asked questions.” Proficiency, for Illumina, was largely around documentation and standardization,” Courtney said.

Government 98

Government Agile Documentation Data Governance 98

Cprime

APRIL 15, 2021

The “AI” refers to Artificial Intelligence – Using computers to accomplish tasks that normally require human intelligence. And of course, “Ops” refers to IT operational tasks. First, check the current marketing verbiage from the vendors who supply your monitoring and related tools. What is “AIOps”? and why should you care?

Artificial Intelligence 52

Artificial Intelligence Monitoring 52

Data Pine

SEPTEMBER 29, 2022

Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose. While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

JUNE 5, 2024

It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream. It can be an event-based application, a web lake, a database , or a data warehouse. Then, it loads it to any destination during event creation.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

BA Coach

OCTOBER 4, 2020

In previous posts, we introduced the IIBA® , Business Analysis Body of Knowledge® (BABOK®) and the first knowledge area: Business Analysis Planning and Monitoring. After each elicitation event, you check whether the information you obtained is accurate and consistent with information that you already had. References.

Requirements Life Cycle Management 52

Requirements Life Cycle Management Logistics Business Analysis Business Analysis 52

Astera

JANUARY 24, 2024

Data replication refers to copying specific data from one storage device to another, often for backup purposes. This process ensures that in the event of a hardware failure or data loss, the replicated data can be used to restore the original data. One of the key benefits of database replication is improved data availability.

Monitoring 52

Monitoring Real-time Data Data Management Digital 52

Astera

FEBRUARY 27, 2024

While API refers to the interface, API architecture involves designing and implementing APIs. Mechanisms like API gateways, service meshes, message brokers, and event streams play a crucial role in enabling this: API Gateways: API gateways manage incoming requests to relevant backend services based on predefined rules.

Documentation 52

Documentation Monitoring E-Commerce Government 52

Marutitech

DECEMBER 17, 2021

Simply put, predictive analytics is predicting future events and behavior using old data. Predicting future events gives organizations the advantage to understand their customers and their business with a better approach. Predictive models make assumptions based on the current situation and past events to show the desired output. .

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

AUGUST 28, 2024

Real-time processing is also necessary for applications that must assess and respond to events as they happen, such as fraud detection systems, network security monitoring, or Internet of Things (IoT) devices and systems. How it Works Stream processing comprises the following stages: 1.

Big Data 52

Big Data Real-time Data Data Warehouse Monitoring 52

Marutitech

MARCH 10, 2022

Consider working with your past events, successes, and failures to identify the truth behind your insights and implement it into your new dataset to predict the future. It’s a good idea to regularly examine and monitor your product and test it with the new data set to ensure it hasn’t lost its importance.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

GAVS Technology

JUNE 2, 2021

Artificial Intelligence for IT operations is nothing but monitoring and analyzing larger volumes of data generated by IT Platforms using Artificial Intelligence and Machine Learning. These help enterprises in event correlation and root cause analysis to enable faster resolution. This is what an intelligent IT monitoring tool does.

Artificial Intelligence 52

Artificial Intelligence Monitoring 52

Astera

APRIL 23, 2024

Here are some frequently used data quality metrics examples: Completeness Ratio It refers to the extent to which a data set contains all the required or expected data elements. Unhealthy data also complicates the backup and recovery processes, as finding and restoring accurate data becomes challenging in the event of data loss.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52