Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

Actian

JUNE 17, 2019

With digital transformation of business processes, even more data is being generated about operational processes. Now that IoT and mobile devices are a mainstay of business, streaming data is becoming a real issue. This isn’t enough to manage the data complexity of modern business.

Data 40

Data Sustainability IoT Report 40

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. Cost control. Shipment tracking and vehicle maintenance.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Openxcell

AUGUST 28, 2023

Introduction:- The success of modern enterprises mainly depends upon their adept utilization of enterprise applications. Due to this, companies have seamlessly integrated these applications into their business operations, which, in turn, has led to enhanced efficiency & improved engagement with employees and clients.

Enterprise 52

Enterprise Applications Development Software Review 52

Altexsoft

FEBRUARY 2, 2023

An RTLS or real-time location system is an autonomous, IoT -based network of connected devices that enables tracking and identification of objects. Centralized access to data enables business intelligence and streamlines reporting, planning, and decision-making processes. So, let’s discuss the RTLS infrastructure in more detail.

IoT 52

IoT Systems Review System Storage 52

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action. Scalability.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

OCTOBER 27, 2022

Today, due to the Internet of Things (IoT) and telematics technologies, carriers can provide real-time tracking information and ETA forecasts. Descartes offers multiple logistics solutions for different needs – including the Broker & Forwarder Enterprise Systems. scalability of the product (will it be able to support your growth?),

Technical Review 52

Technical Review Technology Transportation Software Review 52

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. A complete guide to business intelligence and analytics. The role of business intelligence developer. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

Xicom

JANUARY 9, 2020

Services/Expertise section: Mobile Applications, Web Development & Integration, Social Media Marketing, Analytics & Business Intelligence. Starting from full-service software development to massive individual services, Advansoft is one of the most scalable and robust organization. Enterprise. Location: Dubai.

Software Development 14

Software Development Software Company Development 14

Altexsoft

OCTOBER 24, 2019

In this article, we will discuss what an enterprise data warehouse is, its types and functions, and how it’s used in data processing. We will define how enterprise warehouses are different from the usual ones, what types of data warehouses exist, and how they work. What is an Enterprise Data Warehouse?

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

MAY 17, 2021

YMSs can be a part of or connected to other pieces of software, such as enterprise resource planning (ERP), transportation management system (TMS), or warehouse management system (WMS) to gain an enterprise-wide visibility and control. Various IoT devices such as cameras, sensors, telematics devices, drones, etc.,

Systems Review 81

Systems Review System Technical Review Technology 81

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

While the respondents in the survey ran 40% of their workloads in public cloud and 39 % in private cloud, enterprise customers ran fewer workloads in the public cloud, 32%, and more in Private clouds, 45%, which reflects their concern with security and safety of critical workloads. The number of respondents adopting private cloud is 75%.

Cloud 49

Cloud AWS Open Source Data Center 49

Altexsoft

JUNE 20, 2019

However, scalability can be a challenge with SQL databases. Of course, there are other, prepaid options for Enterprise or Cluster purposes with richer functionality. This fact makes MySQL even more attractive and gives businesses using it a room for growth. Scalability challenges. Cons of MySQL. Resource-consuming.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

JULY 22, 2022

Note that many of them involve creating a complex Internet of Things (IoT) infrastructure with multiple sensors, smart devices, and connected software to process data. Financial, business intelligence, and general ledger systems. CARGOES: a suite of next-gen logistics products based on machine learning and IoT.

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

OCTOBER 2, 2020

Data architecture: aligning technologies with business goals. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. A data architect focuses on building a robust infrastructure so that data brings business value. Data Governance includes Master Data Management.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

NOVEMBER 10, 2021

This enables different teams to use a single system to access all of the enterprise data for a range of projects, including data science, machine learning, and business intelligence. Moreover, they support real-time data, e.g., streams from IoT devices. Business intelligence support. Open formats support.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

JULY 19, 2022

Through all these shifts, data mesh is called to solve the problems of centralized data platforms by giving more flexibility and independence, agility and scalability, cost-effectiveness, and cross-functionality. Data mesh can be utilized as an element of an enterprise data strategy and can be described through four interacting principles.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. They are more scalable than SQL ones and capable of handling larger data volumes.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

CIO

JANUARY 20, 2023

Look at Enterprise Infrastructure An IDC survey [1] of more than 2,000 business leaders found a growing realization that AI needs to reside on purpose-built infrastructure to be able to deliver real value. A data lakehouse supports business intelligence (BI), analytics, real-time data applications, data science and ML in one place.

Analytics 342

Analytics Artificial Inteligence Artificial Intelligence Hardware 342

Datavail

JANUARY 13, 2020

Redshift is a flexible, highly-scalable way to create a cloud-based cluster solution for big data. It’s possible to retain the quality of fast-moving data streams from IoT sensor logs and other sources without paying high storage costs. Scalability. 4 Common Use Cases for Amazon Redshift. Real-Time Analytics.

Data 10

Data AWS Big Data Storage 10

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Source: Business Intelligence. Use cases include data governance, analytics, master data management, enterprise data lakes, etc. . The virtuous cycle of data quality management.

Tools 16

Tools Data Technical Advisors Technical Review 16

Apiumhub

JUNE 12, 2024

Scalability Scalability is essential for applications that need to grow with the business. Leading Low-Code Platforms OutSystems OutSystems is a leading low-code platform known for its comprehensive features and enterprise-grade capabilities.

Software Review 80

Software Review Applications Programming Development 80

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. IoT devices data. Flow of data and ETL.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Sunflower Lab

APRIL 2, 2024

From unraveling the essence of predictive analytics to the intricacies of turning data points into dollar signs, this comprehensive guide will prime you for a predictive power play that resonates throughout your enterprise. This scalability allows organizations to grow their predictive models without fear of hitting a performance wall.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

TIBCO - Connected Intelligence

SEPTEMBER 30, 2021

Tobias Lehtipalo, TIBCO’s VP of Product Management, opened the Predict Keynote with the topic of the future of Business Intelligence (BI) and analytics software, saying, “I believe that there are six critical capabilities that will be required in BI and analytics platforms going forward. But also a real transformation in #DataCulture.

Analytics 49

Analytics Innovation Machine Learning Artificial Inteligence 49

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. This allows for scalability and adaptability in the MDS setup.

Data 59

Data Technical Review Software Review Open Source 59

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. Many integration tools can also support alternate sources such as streaming data and Internet of Things (IoT) devices. Conclusion.

Data 40

Data Nonprofit Quality Assurance Education 40