Flexagon

MARCH 1, 2022

They are adopting new architectures, cloud services, applications , middleware, a nd tools tha t support the planning, testing, securing, and monitoring lifecycle. In 2021 Flexagon worked with organizations around the globe from high tech to biotech, from manufacturing to retail and many more, in both private and public sectors.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Graph technologies and analytics.

Big Data 87

Big Data Technology Tools Cloud 87

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. David Stodder , Senior Director, Research for Business Intelligence, TDWI.

Meeting 63

Meeting Data Technical Review Machine Learning 63

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

Datavail

JULY 14, 2022

It is constantly feeding corporate databanks with up-to-the-minute information, yet because its flow is transitory, the intelligence it offers isn’t available for use until after it’s been captured, cleaned, and integrated into standard data analysis programs. Understand the Status of your Data.

Data 52

Data AWS Analytics Programming 52

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CIO

AUGUST 18, 2022

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Mobilunity

MARCH 31, 2023

Examples: Oracle SCM Cloud, SAP SCM, JDA Software SCM, Infor Supply Chain Planning, Manhattan Associates SCM Business Intelligence (BI) software This software provides data analytics and insights that help organizations make informed business decisions. The UIUX team designs the interface of the future product.

Software Development 52

Software Development Software Review Enterprise Software 52

Protera

MAY 27, 2020

SAP’s new platform, BW4/HANA for Business Intelligence and S/4 for its main ERP system, is “a paradigm leap” that solves one of IT’s biggest problems: the growth and proliferation of the volume of data. The on-premises architecture in SAP and other ERP systems cannot handle the volume.” A system can’t digest it all.

Cloud 52

Cloud Internet Analytics Organization 52

Datavail

JULY 27, 2021

Whether you’re a tiny startup or a massive Fortune 500 firm, cloud analytics has become a business best practice. A 2018 survey by MicroStrategy found that 39 percent of organizations are now running their analytics in the cloud, while another 45 percent are using analytics both in the cloud and on-premises.

Azure 98

Azure Analytics Cloud Company 98

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

NOVEMBER 19, 2020

Basically, shippers, retailers, and logistics service providers may have a very vague idea about their transportation process. This data can in turn be transformed into analytics on your supply chain performance, financial situation, and customer service issues. Business intelligence and analytics.

Transportation 59

Transportation Systems Review System Analytics 59

O'Reilly Media - Ideas

FEBRUARY 11, 2020

On the other hand, between 5% and 10% of respondents work in each of a broad swath of other verticals, including: healthcare, government, higher education, and retail/e-commerce. With respect to business intelligence and analytics, data lineage provides a mechanism business people, analysts, and auditors can use to trust and verify data.

Weak Development Team 128

Weak Development Team Data Technical Review Survey 128

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Day by day, the IoT sees wider adoption, opening new opportunities and driving more value to both businesses and their clients. IoT architecture layers. IoT infrastructure contains several key layers, with an IoT platform acting as a bridge between physical world and business processes.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

OCTOBER 21, 2022

No matter who reads what, the technology found its way to virtually every industry — from healthcare to travel to retail. Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. process data in real time and run streaming analytics. Kafka architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

CTOvision

DECEMBER 8, 2015

That’s why the most successful businesses today are taking data-driven business intelligence to the next level. Retailers gathering data across all their stores—customer traffic levels at different times of day, marketing promotions, local weather events, and more—to optimize staffing. Knowledge is power.

Big Data 62

Big Data Organization Data Business Intelligence 62

Xicom

JANUARY 9, 2020

Services/Expertise section: Mobile Applications, Web Development & Integration, Social Media Marketing, Analytics & Business Intelligence. Service/Expertise section: architectural design, structural design, interior design, visualisation, rendering, interior, engineering, 3D, outsourcing. Location: Dubai.

Software Development 14

Software Development Software Company Development 14

The Cipher Brief

SEPTEMBER 20, 2020

The IC can get those insights by leveraging business analytics—already widely used in the corporate world—to transform the way it performs its mission. Moreover, the IC cannot accurately quantify the number of times a particular piece of raw reporting is accessed by intelligence analysts or cited in finished analytic products.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

NOVEMBER 8, 2019

Mainly, there are two ways to implement NDC in the airline: Completely move from the existing PSS and retailing suite to an NDC-capable one. The API usually comes integrated into a retailing platform that manages offer and order and has additional merchandising services for airlines. The second implementation scenario is less radical.

Airlines 20

Airlines Travel Retail Transportation 20

Altexsoft

DECEMBER 10, 2019

Currently, providers of PSSs are switching from monolithic to service-based design — either service-oriented architecture (SOA) or microservices. Retailing platform. The second-largest PSS undergoes transition period, moving from mainframe computers to microservices architecture. The third generation: service-oriented approach.

Airlines 18

Airlines Systems Review System Travel 18

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10.

Big Data 52

Big Data Analytics Data Analysis 52

O'Reilly Media - Ideas

NOVEMBER 16, 2021

In the past decade, the growth in low-code and no-code solutions—promising that anyone can create simple computer programs using templates—has become a multi-billion dollar industry that touches everything from data and business analytics to application building and automation. Everything Is Low-Code. Low-code: what does it even mean?

Programming 142

Programming Weak Development Team Software Development Artificial Inteligence 142