OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. The introduction of Pentaho Business Analytics 5.0

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

Xebia

JANUARY 19, 2023

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Architect for scalability.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. They deliver on the promise of Hadoop and Big Data, by providing a collaborative and intuitive visual environment for teams to quickly create and deploy analytics workflows and predictive models.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Openxcell

OCTOBER 2, 2023

After analyzing the performance, scalability, and cost-effectiveness of the current system, they recommend improvements and optimizations. If you want to reimagine business processes, adopt cloud solutions, integrate data analytics, and embrace emerging technologies then this service is for you.

Technical Review 52

Technical Review Security Technology Weak Development Team 52

Datavail

JUNE 21, 2022

If you are involved with managing data, analytics, or business intelligence, you know that your organization is going to increase its appetite for making decisions based on its large reservoir of data. Responding to the Increase in Demand for Data and Data Analytics. Here are the top challenges you’ll need to address.

Data 52

Data Analytics Strategy Case Study 52

O'Reilly Media - Data

JULY 23, 2018

Executive Briefing: from Business to AI—missing pieces in becoming "AI ready ". Executive Briefing: Agile for Data Science teams. Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Cloudera

AUGUST 3, 2018

Cloudera’s diverse and expansive partner ecosystem includes major tech companies constantly redefining the industry, consultancies guiding some of the most comprehensive digital transformations, fast-emerging ISVs challenging status-quo, and cloud companies providing unparalleled flexibility and scalability.

Azure 40

Azure Analytics Machine Learning Artificial Inteligence 40

RapidValue

APRIL 20, 2020

Some of the notable technologies and tools boosting the cloud-native model are microservices, containerization, Agile methodology, CI/CD and the like. . With faster deployments, scalability and improved visibility across applications, cloud computing is a hit among DevOps-minded teams. Burgeoning Container Services.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Hu's Place - HitachiVantara

JUNE 18, 2019

Scott Baker, posted a blog IDC: Object Storage More Than A One Trick Pony , which expanded on this IDC report and showed how our Object Storage platform, Hitachi Content Platform, HCP, evolved from a t rue archival compliance tool to one fine-tuned for Big Data analytics. However, simply migrating to any object store is not enough.

Storage 66

Storage Software Review Banking Technical Review 66

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. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Actian

MAY 28, 2019

Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Most companies use multiple databases to store data at various levels of refinement, from raw source data to highly curated analytics and reports.

Data 40

Data Analytics Machine Learning Artificial Inteligence 40

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

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

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Scalability.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Datavail

SEPTEMBER 1, 2021

Should you move your data analytics to the cloud? What Do You Want from Your Data Analytics? We’ve done research on this question, and we’ve found that there are a variety of things businesses want: Self-service data exploration and discovery-oriented forms of advanced analytics. Scalability. Fast response.

Analytics 97

Analytics Technical Review Cloud Data 97

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

Altexsoft

APRIL 5, 2021

Unsuitable for on-demand or real-time analytics. ETL technologies are intended for the following use cases: Business Intelligence. Social media data, consumer information, and web analytics are common examples of marketing data that is moved by the ETL process for further analysis. Use Cases of ETL. Conclusion.

Company 78

Company Data Technical Review Analysis 78

TechCrunch

DECEMBER 10, 2021

and analytical background related to data,” as well as the consulting expertise for startups that he provides. Furthermore, we both had seen firsthand how terrifyingly crippling waterfall and broken agile could be for the progress of a project. Why did you choose the boutique consultancy model? What is your billing model?

Weak Development Team 255

Weak Development Team Software Development Software Review Fractional CTO 255

InfoBest

JULY 18, 2018

MongoDB is currently the most popular NoSQL platform and it helps companies like Expedia, Forbes, MetLife or TheGuardian extend their services in areas like the Internet of Things or Business Intelligence. Also, NoSQL has become more and more popular when developing AGILE (quick iterations, no downtime).And CouchDB (Apache).

Engineering 61

Engineering Technical Review PHP Software Review 61

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 BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions.

Pharmaceuticals 318

Pharmaceuticals Business Intelligence Technical Review Government 318

Actian

JUNE 17, 2019

For companies that want to develop a sustainable competitive advantage, they must start aggregating, organizing and refining their massive data stores into the real business intelligence that leads to better decisions and more efficient operations. “We Business agility is only achievable with near real-time information insights.

Data 40

Data Sustainability IoT Report 40

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

Datavail

JUNE 24, 2021

Business Intelligence is a key component to staying competitive in today’s market. Making the decision to move to the cloud from on-premises analytics solutions can be challenging. Let Datavail put your mind at ease by answering some of the most common questions about cloud analytics and addressing any concerns.

Analytics 52

Analytics Cloud Business Intelligence Hardware 52

Existek

NOVEMBER 22, 2021

Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. Web development is suitable for any business size, but the larger the company is, the more the application’s complexity grows. First of all, enterprise solutions have to be highly scalable and perform well. Accounting.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

Sunflower Lab

APRIL 22, 2024

Did you know that between 60% to 73% of enterprise data remains unused for analytics, with the manufacturing industry being the biggest contributor to it? Another issue is scalability. Scalability: They just can’t keep up as your operations get bigger and more complex. And let’s not forget about integration.

Energy 52

Energy Weak Development Team Analytics Analysis 52

Kaseya

NOVEMBER 9, 2023

Storage: Cloud storage acts as a dynamic repository, offering scalable and resilient solutions for data management. Along with the computing resources of IaaS, PaaS also offers middleware, development tools, business intelligence (BI) services, database management systems and more.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

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. Always remain open throughout.

Project Management 52

Project Management Recruiting Agile Quality Assurance 52

Cloudera

AUGUST 21, 2021

Working towards delivering a strong customer experience and shortening time to market, the organization sought to create a centralized repository of high-quality data which could also allow them to stream and conduct real-time data analytics to rapidly derive actionable insights. .

Industry 99

Industry Data Banking Analytics 99

LaunchDarkly

JANUARY 17, 2019

“We’re very laser-focused on making the developer extremely successful and happy and comfortable, comfortable that we’re reliable, comfortable that we’re scalable, comfortable that we can handle their load. JM: Logi Analytics is an embedded business intelligence tool. It’s an embedded analytics tool.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Protera

MAY 23, 2023

There are several quality cloud providers on the market, but you want to choose the one that best aligns with your unique business requirements and objectives. Other areas of focus to this end could include security, performance efficiency, scalability, and of course cost.

Cloud 52

Cloud Testing Data Center Systems Review 52

Xicom

JANUARY 9, 2020

Additionally, the company is specialized in endured designing, stimulating product development and agile prototyping. Services/Expertise section: Mobile Applications, Web Development & Integration, Social Media Marketing, Analytics & Business Intelligence. Pricing: $50 – $99 / hr. Location: Dubai.

Software Development 14

Software Development Software Company Development 14

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. An OLAP or Online Analytical Processing cube is the tool used to represent data for analysis in a multidimensional way.

Data 64

Data Analytics Construction Cloud 64

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49