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TrianglZ specializes in digitally transforming businesses and boosting their performance, through a full-spectrum of software services proudly Made in Egypt; Customized Tailored Solutions, Web Development, Mobile Development Product Management Services, Analysis and Big Data, AI & ML, Software Consulting, UX/UI Design and Software Testing & Quality Assurance.
Through using Agile S... Read More
Imagine a world where technology connects, protects, and empowers. That’s the world ATW is building.
Founded in Cairo in 1997 as an R&D organization, ATW grew into a global leader in digital transformation. From Cairo to Houston, Dubai, and across Europe and Africa, we’re creating secure, intelligent solutions that drive business success.?In 2016, ATW’s second generation launched a ne... Read More
EGID is a leading, CMMI-certified firm established in 1999 as a JV owned by EGX & NASDAQ. With a talented and experienced team, we create the optimal solutions which empower our partners to scale and grow out-bound any limits. EGID uses the latest technologies, along with professional and efficient software development processes and tools that enable it to produce state-of-th... Read More
ITWORX is a global IT Services firm providing Cloud-based and On-premise solutions to the world 's leading organizations with an emphasis on Advanced Analytics, Enterprise Mobility, Performance Management, and CRM. ITWORX has a 20-year proven track record building award-winning solutions for Telco, Banking, Manufacturing, Agriculture, and Government; leveraging its vast pool of talent, wide ran... Read More
KEYS AI helps businesses grow using the power of artificial intelligence. We offer a range of AI services designed to meet different industry needs, ensuring our clients stay competitive and innovative.
Our Services
Machine Learning
Deep Data Mining
Dashboard Design & Data Visualization
AI-Based Recommendation Systems
Image Processing
Natural L... Read More
Link Development is a global technology solutions provider leading the digitalization of private and public sectors. r nWe drive the business transformation of our customers by delivering integrated, inventive and digitally productive experiences that blend cloud, analytics, mobility, smart services, Dynamics 365 - CRM, infrastructure, IOT, augmented reality and others. r nWe help our customer... Read More
QueuesHub is a leading technology company dedicated to empowering businesses with tailored, innovative solutions that drive digital transformation and sustainable growth. With expertise across software development, cloud engineering, enterprise integration, and data management, we provide cutting-edge services designed to meet the unique needs of businesses in a rapidly evolving digital landsca... Read More
Smart System is one of the most prominent system integrators and information technology companies operating in the MENA region. We provide a comprehensive set of the most advanced IT solutions in the world that would allow our customers to innovate without limits, boost their efficiency and go to a whole new level.
Smart System is based in Egypt and has branches in Saudi Arabia and the UA... Read More
Soft Grow is a global technology services provider focussed on providing cloud based and on-premise solutions, bringing organizations to the pinnacle of competitive positioning and operational effectiveness. r n r nSoft Grow is committed to delivering a distinguished service with full meaningful, accurate, reliable and available information to help taking fact based decisions, and process impro... Read More
Sprinters is a dynamic technology company with a wide domain of services that help businesses deliver polished software products or reimagine their systems for the digital age.The services cover software design and development, extending to consultations on software development and deployment, productization, market entry and more.Being in the market for over 20 years, we have extensive experie... Read More
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Big data analytics is defined as the process of assessment of big data to uncover patterns, links, and market trends to help make informed decisions. It is the process of cleaning tremendous amounts of raw data through clustering, regression, etc., to create a powerful information asset for businesses. Big data analytics mainly comprises collecting, processing, cleaning, and analyzing data. -Identify and gather big data. -The structured or unstructured data is later organized, stored, and processed. -The next process is data cleansing, where the big data is cleaned to improve its quality and yield better results. -Valuable insights are gathered from Big data by applying suitable data analytics techniques and practices.
There are four main types of big data analytics: -Diagnostic Analytics: A process that analyzes the data to reason out why and how the data. -Descriptive Analytics: A process of analytics that finds out what and when the data is being collected. -Predictive Analytics: A process to discover what can happen in the future. -Prescriptive Analytics: A process to understand what you must do in the future.
The primary benefits of big data analytics are business efficiency, cost savings, a better understanding of the market and customers, and proactive functioning. Large and small businesses can use big data analytics to gather meaningful insights. The best big data analytics firms can help small enterprises make informed decisions and enhance business growth with suitable data analytics techniques and practices.
Big data analytics companies provide clients with different types of Analytics as a Service (AaaS), managed data analysis, consultation, analytics architectures, easy-to-use analytics solutions, and visualization services. In addition, top big data analytics firms also serve image analysis, data modernization, preparation and management, data storage, robotics, and computing solutions. A few advanced Big data solutions companies also provide development and tuning of machine learning models, data mining systems, AI solutions, and software development and data support services.
The following crucial factors can help you effectively choose the right big data analytics company for your business: - Summarize your big data analytics project requirements, including purpose, location, tech stack needed, deadlines, budget, and more. - Study the latest global market trends in big data analytics. - Decide the preferred location for your big data analytics consultants to ensure time-zone compatibility for better communication. - Search the best big data analytics companies from well-known and reliable listing pages like Top IT Firms, leveraging filters for location, services, industries, and your other preferences. - Contact the chosen companies to discuss the detailed project requirements, deadlines, budget, and the availability of big data analytics firms in your time zone. - Compare the shortlisted top big data companies based on their reviews, ratings, skills, experience, and pricing to choose the perfect big data service provider for your project.
Big data analytics costs $5,000 to $100,000, depending on the technologies used, the severity of customer support, and the types of analytical services. Companies also fix the overall prices based on required licenses, data storage, organizational data needs, data quality, customization features, etc. Confirm with your big data company to understand the costs and related features.
Most industries use big data to derive valuable insights and make informed business decisions. Big data companies offer services to healthcare and pharma, automobiles, IT, cloud computing, educational institutes, logistics and transportation, manufacturing, insurance, energy and utilities, retail and wholesale, and Government institutes. Based on their data size and requirements, big data companies serve various industries, from data gathering and analysis to generating valuable and meaningful data applications.
Hiring a big data developer can be overwhelming for a business. However, the process can be made simple by following these steps: -Define the goals and purpose of your project. -To shortlist a few big data development companies, refer to a reputed and reliable review and rating platform like Top IT Firms. -Compare the shortlisted companies against factors including experience, level of project complexities handled earlier, pricing structure, and reviews from genuine clients. - Make sure you discuss the timeline of the project, the scope, and the complexity of the project.
Whether you need to hire a big data analytics company or manage with an in-house team is a critical decision to manage your data efficiently. These depend upon your business size, data requirements, and future business goals. A dedicated IT staff or a well-trained and proficient team can be a cost-effective and more flexible option if you are a company with limited needs and specific data purposes. But, as the company grows, scaling your data capacity could be difficult. Due to this, hiring or outsourcing to a big data analytics firm has several advantages. Pivoting new trending services, testing different ideas, and trying multiple data architectures are much easier with an experienced, hired big data company. With access to all resources, tools, and technicians, users can expect minimum downtime and superior customer support. Outsourcing to the best big data analytics companies can be cost-effective with round-the-clock service.
The commonly encountered challenges of big data analytics are associated with high infrastructure costs, data acquisition, and analysis. Challenges related to real-time insights, data management, integration with existing systems, identification and elimination of data quality issues, right tool selection, poor knowledge of employees, etc., are also frequent while working with big data analytics. Since big data analytics companies have access to different resources such as highly skilled big data experts, data optimization tools, cyber security professionals, etc., they can help fix the challenges of big data analytics while ensuring optimum data quality and security. They are also proficient in migrating the IT infrastructure to the cloud to handle and analyze massive data sets effectively.