Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Instaclustr

SEPTEMBER 28, 2021

The focus is on “BI” (Business Intelligence) rather than machine metrics (c.f. Here are the available visualization types available (which I noticed includes my favorite graph type, the Sankey diagram, which is great for systems performance analysis; Chord diagrams are also cool): 6. It’s written in Javascript and Python.

Data 97

Data Virtualization Metrics Open Source 97

RapidValue

JUNE 26, 2020

Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. The connection between OAC and ADW enables users to perform data visualizations and predictive and semantic analysis.

Analytics 72

Analytics Cloud Technical Review Data 72

Kentik

JULY 10, 2018

Network and computing infrastructure is increasingly software-driven, allowing for extensive, full stack software instrumentation that provides monitoring metrics for generating KPIs. Performance metrics and other types of monitoring data can be collected in real time using streaming telemetry protocols such as gRPC.

Tools 45

Tools Cloud Big Data WAN 45

Openxcell

JULY 27, 2023

SaaS is the way businesses can achieve simplicity, scalability, and security. You can reach out to a top SaaS development company for SaaS solutions that are scalable and secure. Among Tableau Online’s offerings are interactive data visualizations and data analytics tools for business intelligence.

Company 52

Company Software Review Mobile Trends 52

Instaclustr

SEPTEMBER 28, 2021

The focus is on “BI” (Business Intelligence) rather than machine metrics (c.f. Here are the available visualization types available (which I noticed includes my favorite graph type, the Sankey diagram, which is great for systems performance analysis; Chord diagrams are also cool): 6. It’s written in Javascript and Python.

Data 68

Data Virtualization Metrics Open Source 68

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Another challenge is the never-ending need for optimization and maximizing performance.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

CIO

DECEMBER 21, 2022

So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By A lot of business intelligence software pulls from a data warehouse where you load all the data tables that are the back end of the different software,” she says. “Or

Pharmaceuticals 328

Pharmaceuticals Business Intelligence Technical Review Government 328

Altexsoft

FEBRUARY 11, 2023

machine learning and deep learning models; and business intelligence tools. They also define KPIs to measure and track the performance of the entire data infrastructure and its separate components. It defines metrics and best practices to ensure data quality as well as data privacy and security. Problem-solving skills.

Data 87

Data Data Engineering Big Data Architecture 87

Sunflower Lab

MARCH 26, 2024

Power BI helps streamline compliance management by providing tools to monitor and report on compliance metrics, ensuring that organizations adhere to regulatory standards. Additionally, this dashboard enables businesses to forecast future financial performance based on historical data and trends.

Analytics 52

Analytics Metrics Trends Analysis 52

Sunflower Lab

APRIL 22, 2024

Moreover, with the increasing complexity of manufacturing processes and supply chains, there is a growing need for real-time insights to optimize operations and improve overall performance. Another issue is scalability. Scalability: They just can’t keep up as your operations get bigger and more complex.

Energy 52

Energy Weak Development Team Analytics Analysis 52

Trigent

SEPTEMBER 29, 2023

However, a pertinent question here would be – Are companies optimizing advanced business intelligence techniques to analyze the sheer volume of data they collect and break it down to derive value-driven insights?

Analytics 52

Analytics Business Intelligence Metrics Strategy 52

CIO

MARCH 2, 2023

“Our technology organization collaborates closely with business leaders so we can identify current pain points and determine the right processes to automate, focusing on how these tools will improve our customer or employee experiences,” he says. “In A catalyst to make this happen will be the ongoing improvements in AI-enabled data capture.

Artificial Inteligence 358

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 358

Sunflower Lab

MARCH 18, 2024

Enabling Financial Leaders to Propel Success with Power BI Service Why do people and leading companies across the industries continue to choose and utilize Power BI service for thier business intelligence? User reviews commend Microsoft Power BI as a robust data analytics platform with high scalability.

Banking 52

Banking Compliance Technical Review Business Intelligence 52

Altexsoft

APRIL 23, 2019

The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. What is business intelligence?

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Altexsoft

SEPTEMBER 9, 2022

Performing them manually is too much of a hassle. Data quality KPIs monitoring helps ensure data quality by tracking essential metrics. Users especially highlight the data curation and auto correction features as well as general ease of use, though some pointed out the insufficient feature list and poor platform performance.

Tools 59

Tools Technical Review Software Review Systems Review 59

Perficient

JULY 4, 2023

ETL is commonly used in business intelligence and data warehousing projects to consolidate data from various sources and make it available for analysis and reporting. This approach is often used when the destination system has the capability to perform complex transformations and data manipulation. What is ELT?

Big Data 52

Big Data Scalability Analysis Performance 52

Apps Associates

JANUARY 26, 2023

Oracle Analytics Cloud (OAC) is a scalable Oracle Cloud platform which provides organizations with the capabilities they need to effectively store, analyze, and derive actionable insights from their data. Naturally, this makes it difficult to analyze and leverage data with speed and accuracy, but there is a solution: Oracle Analytics Cloud.

Analytics 52

Analytics Machine Learning Artificial Inteligence Cloud 52

Altexsoft

DECEMBER 23, 2022

As said, ETL and ELT are two approaches to moving and manipulating data from various sources for business intelligence. Scalability. In ETL, you first decide what you’re going to do with data, set metrics, and only after that you load and use that data. ELT vs ETL. Order of process phases. Flexibility.

Tools 52

Tools Software Review Systems Review Testing 52

Sunflower Lab

OCTOBER 2, 2023

Additionally, it offers artifacts, debug code, performance enhancement via metrics analysis, interaction with CI/CD systems, etc. Synapse is more suitable for OLAP job performance since it offers distributed querying and stores data in a columnar fashion.

Azure 40

Azure Analytics UI/UX Software Review 40

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. What does the high-performance data project have to do with the real Franz Kafka’s heritage? Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Kentik

FEBRUARY 14, 2023

Data platforms offer enterprises a range of features: Data ingestion Data storage Data transformation Data modeling Data discovery Data observability Data security Business intelligence Data platform ingestion Useful data is generated at every layer of an application. What are the main features of a modern data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

Apiumhub

APRIL 27, 2021

Data mining is the process of analyzing massive volumes of data to discover business intelligence that helps companies solve problems, mitigate risks, and seize new opportunities. Clustering mechanisms use graphics to show where the distribution of data is in relation to different types of metrics. What is Data Mining.

Artificial Inteligence 103

Artificial Inteligence Data Machine Learning Artificial Intelligence 103

Altexsoft

MAY 17, 2021

Loading dock operations are the most crucial processes among your yard activities so you want maximum efficiency and top performance here. YMS also helps monitor performance metrics to pinpoint areas that need attention, see optimization opportunities, and make more informed carrier choice.

Systems Review 81

Systems Review System Technical Review Technology 81

Mobilunity

MARCH 26, 2024

SAP NetWeaver Business Warehouse (BW): As a matter of fact this component does not only change raw data into meaningful insights but it also serves as a hub where data from multiple sources can be consolidated thus providing an inclusive business intelligence and reporting platform.

Project Management 52

Project Management Recruiting Agile Quality Assurance 52

Kaseya

DECEMBER 8, 2023

Remote monitoring and management is the process of overseeing and optimizing the performance and security of all devices connected to a network. This process is crucial for the success of any modern business and is performed using an RMM solution. Here’s a case study of how RMM can be a game changer for businesses.

Policies 45

Policies Scalability Report Network 45

Altexsoft

SEPTEMBER 21, 2023

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM).

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Kaseya

DECEMBER 8, 2023

Remote monitoring and management is the process of overseeing and optimizing the performance and security of all devices connected to a network. This process is crucial for the success of any modern business and is performed using an RMM solution. Here’s a case study of how RMM can be a game changer for businesses.

Policies 40

Policies Scalability Report Network 40

Altexsoft

FEBRUARY 2, 2023

So, RTLSs are implemented to track high-value assets/inventory or big shipments, as well as monitor equipment/personnel performance in industrial environments, warehouses, yards , ports/terminals , etc. All business owners strive for efficient usage of resources and don’t want their staff to idle around or their equipment to be underutilized.

IoT 52

IoT Systems Review System Storage 52

Altexsoft

AUGUST 4, 2021

Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit. To perform the processes of extraction, transformation, and loading, ETL tools are used. What is a data mart?

Data 64

Data Analytics Construction Cloud 64

Altexsoft

JULY 15, 2022

The rule of thumb here is that the metric should stay below 50 days ; and. By monitoring these metrics, the practice stays informed about the financial situation and can take timely action to improve it. Most likely, you’ll have to hire third-party tech specialists to perform this task. Configurations and scalability.

Software Review 52

Software Review Software Technical Review Systems Review 52

Openxcell

JANUARY 18, 2022

Performance and Monitoring Tools. Datadog is a performance monitoring tool that is used to determine performance metrics and event monitoring for cloud services and infrastructure. It compiles metrics and events across the DevOps stack and offers complete user experience visibility on one platform. Elasticsearch.

DevOps 52

DevOps Tools Open Source Testing 52

Altexsoft

JULY 18, 2023

Spark’s GraphX library is designed to manipulate graphs and perform computations over them. When transformations are applied to RDDs, Spark records the metadata to build up a DAG, which reflects the sequence of computations performed during the execution of the Spark job. Graph processing. Directed Acyclic Graph (DAG).

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

MAY 14, 2021

Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed. Compute layers are the sets of processing engines used to perform any computational tasks on data. Data storage and processing. Apache Kafka.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JANUARY 25, 2022

This helps managers identify bottlenecks and performance issues and address them. Say, you consider adding a business intelligence dashboard to display key performance indicators. On-demand, an executive dashboard with business metrics, a patient portal, and an e-prescribing module can be added.

System 52

System How To Weak Development Team Healthcare 52

Altexsoft

JULY 19, 2022

It pulls together data from legacy systems, data lakes, data warehouses, SQL databases, and apps, providing a holistic view of business performance. It’s often used by internal apps managing business processes — ERPs, accounting software, and medical practice management systems , to name just a few. Data mesh shifts.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Once you know against what data quality dimensions you will evaluate your datasets, you can define metrics. Source: Business Intelligence. Defining data quality rules and metrics.

Tools 16

Tools Data Technical Advisors Technical Review 16