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Big Data Analytics
Lahore, Pakistan
E
11-50 Employees
2018
Key takeaway
The company specializes in data analytics and software engineering services, emphasizing its commitment to supporting data-driven businesses.
Reference
Product
Big Data Analytics
BigBrother Analytics
Cairo, Egypt
D
11-50 Employees
-
Key takeaway
MediaSci is a data-driven digital agency that has developed a comprehensive platform called Big Brother Analytics, which focuses on understanding and managing the impact of the digital space on businesses. Their Big Data Services, offered through Big Brother Analytics, provide valuable insights into consumer preferences and sentiments, enabling informed decision-making for marketers.
Reference
Service
Big Data Services – BigBrother Analytics
mLogica LLC
Las Vegas, United States
B
251-500 Employees
2004
Key takeaway
mLogica specializes in hyperscale big data ingestion and near-real-time analytics, providing data-driven insights across various industries. Their extensive experience in database and application modernizations positions them as a key partner for organizations seeking to leverage big data analytics effectively.
Reference
Service
Business Analytics for Hyperscale Big Data - mLogica
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Intellibee Inc
Southfield, United States
B
11-50 Employees
2010
Key takeaway
Intellibee is a global IT services company that emphasizes enterprise integration and IT solutions across various industries, including government and healthcare. They highlight their expertise in Big Data and Analytics, ensuring that security is integrated throughout their development processes.
Reference
Service
Big Data & Analytics
Analytics Staffing Solutions Inc.
Vancouver, United States
B
1-10 Employees
2012
Key takeaway
Analytics Staffing Solutions specializes in providing experienced Big Data professionals, including roles in data science and machine learning, to organizations across the USA. Their dedicated approach ensures that clients receive highly qualified candidates tailored to their specific technical requirements.
Reference
Core business
Big Data Analytics Recruitment | Business Intelligence Recruiter
Fragma Data Systems
Bengaluru, India
D
51-100 Employees
2015
Key takeaway
Fragma Data Systems is a Big Data Analytics solutions provider that helps companies across various industries transform their data into actionable insights, enabling better decision-making and operational excellence.
Reference
Service
Big Data and Analytics | Fragma Data
BigData4Analytics
London, United Kingdom
A
1-10 Employees
2012
Key takeaway
BigData4Analytics specializes in applying AI and data analytics to drive significant business transformation and value, particularly for blue-chip and mid-sized organizations.
Reference
Core business
Management Consultants in Big Data | BigData4Analytics
Be Data Solutions
Birmingham, United Kingdom
A
11-50 Employees
2021
Key takeaway
The company specializes in Data Analytics, emphasizing its importance in transforming data into actionable business insights. With extensive experience and a modular approach, they help organizations effectively leverage big data to enhance decision-making and drive growth.
Reference
Service
Data Analytics - Be Data Solutions
With an ever-increasing amount of data available, the challenge many businesses experience is how to use it to generate a return.
Easy Data Analytics
Singapore
C
11-50 Employees
2018
Key takeaway
The company expresses their satisfaction with EDA for their analytics needs, highlighting the positive impact of data analytics on their organization. They are currently in Phase II of implementation, emphasizing EDA's commitment and understanding of their requirements, particularly in the context of Big Data Analytics.
Reference
Product
Big Data Analytics – Easy Data Analytics
SIEGER Consulting GmbH
Frankfurt, Germany
A
11-50 Employees
2004
Key takeaway
SIEGER is a specialized consulting firm that emphasizes digitalization and data management, particularly in highly regulated sectors. They focus on harnessing the power of Big Data and Advanced Analytics, offering tailored solutions to enhance decision-making and identify new investment opportunities while minimizing risks.
Reference
Service
Big Data & Advanced Analytics - SIEGER Consulting
Big Data & Advanced Analytics - SIEGER Consulting
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
edpem
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A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
Use case
Continuous monitoring
Logistics
The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
Big Data Analytics refers to the process of examining large and complex datasets to uncover hidden patterns, correlations, and insights. This approach leverages advanced analytics techniques, including machine learning, statistical analysis, and predictive modeling, to transform raw data into valuable information. Organizations utilize Big Data Analytics to make informed decisions, enhance operational efficiency, and improve customer experiences. By analyzing vast amounts of data in real-time, businesses can identify trends, forecast future outcomes, and gain a competitive edge in their respective markets.
Big Data Analytics significantly enhances decision-making by transforming vast amounts of data into actionable insights. Organizations can analyze trends, patterns, and correlations within their data sets, leading to more informed choices. By leveraging advanced algorithms and machine learning techniques, businesses can forecast outcomes and identify potential risks, enabling them to respond proactively. Furthermore, the ability to access real-time data allows companies to make agile decisions. This immediacy is crucial in dynamic markets where conditions can change rapidly. As a result, organizations that utilize Big Data Analytics gain a competitive edge, streamlining operations and improving customer experiences through tailored services and products.
1. Healthcare
Big Data Analytics plays a crucial role in healthcare by enabling providers to analyze vast amounts of patient data. This leads to improved patient outcomes, personalized treatment plans, and more efficient operational management.
2. Retail
In the retail sector, Big Data Analytics helps businesses understand consumer behavior and preferences. This insight allows for targeted marketing strategies, optimized inventory management, and enhanced customer experiences.
3. Finance
The finance industry utilizes Big Data Analytics to detect fraud, assess risk, and make informed investment decisions. By analyzing historical data and market trends, financial institutions can improve their decision-making processes.
4. Manufacturing
Manufacturers benefit from Big Data Analytics by optimizing production processes and reducing downtime. By monitoring machinery and analyzing supply chain data, companies can enhance efficiency and lower operational costs.
5. Telecommunications
Telecommunication companies leverage Big Data Analytics to improve customer service and network performance. Analyzing call data records and customer feedback helps in predicting churn and enhancing service delivery.
1. Apache Hadoop
Apache Hadoop is a widely-used framework that allows for the distributed processing of large data sets across clusters of computers. Its ability to store and process massive volumes of data makes it a cornerstone for many analytics projects.
2. Apache Spark
Apache Spark provides fast and general-purpose cluster computing. It is known for its speed and ease of use, allowing data scientists to perform complex analytics tasks in real-time.
3. Tableau
Tableau is a powerful data visualization tool that helps users create interactive and shareable dashboards. It connects to various data sources, making it easier to analyze and visualize large data sets.
4. R and Python
Both R and Python are popular programming languages in data analytics. They offer extensive libraries and frameworks for statistical analysis, machine learning, and data manipulation, making them essential for data scientists.
5. NoSQL Databases
NoSQL databases like MongoDB and Cassandra are designed to handle unstructured data. They provide flexibility in data storage and retrieval, making them suitable for big data applications that require scalability and performance.
Big Data Analytics significantly enhances customer experience by enabling businesses to gain deep insights into consumer behavior and preferences. By analyzing large volumes of data from various sources, companies can identify trends and patterns that inform product development, marketing strategies, and personalized services. Additionally, real-time analytics allows businesses to respond to customer needs promptly, offering tailored recommendations and solutions. This proactive approach fosters customer loyalty, as clients feel understood and valued, ultimately leading to improved satisfaction and retention rates.
Some interesting numbers and facts about your company results for Big Data Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 7809 |
| Amount of suitable service providers | 7388 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2004 |
| Youngest suiting company | 2021 |
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Some interesting questions that has been asked about the results you have just received for Big Data Analytics
What are related technologies to Big Data Analytics?
Based on our calculations related technologies to Big Data Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Big Data Analytics?
Start-Ups who are working in Big Data Analytics are Be Data Solutions
Which industries are mostly working on Big Data Analytics?
The most represented industries which are working in Big Data Analytics are IT, Software and Services, Other, Consulting, Marketing Services, Research
How does ensun find these Big Data Analytics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
