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Big Data Analytics
Lahore, Pakistan
11-50 Employees
2018
We provide data analytics and software engineering services to data driven businesses. Bits is a Fintech product that helps customers build a credit score. Scroll Finance offers smart and flexible financing for homeowners. Cheetay is a homegrown Pakistani technology company that operates in the last mile delivery space.
Product
Big Data Analytics
... Big Data Analytics ...
atlan-tec Systems
Germany
11-50 Employees
1994
Das eröffnet neue Potenziale für smarte Erkenntnisse, smarte Entscheidungen und smarte Produktionsprozesse. So entwickeln wir maßgeschneiderte Lösungen für Ihren individuellen Produktionsprozess. Pro Sekunde entstehen in Ihrer Produktionsanlage tausende von Daten. In einem ganzheitlichen Ansatz werden Out-Of-Spec-Produktion reduziert, Rohstoff- und Energieeinsatz minimiert und Effizienz gesteigert. Bis heute haben wir bereits mehr als 1.200 Industrieprojekte und 470 verschiedene Produktionsprozesse erfolgreich begleitet optimiert. Wir optimieren weltweit technische Produktionsprozesse in derzeit zehn verschiedenen Branchen.
Service
Advanced Big Data Analytics für eine smarte Produktion
... Advanced Big Data Analytics | Software für smarte ...
Data Science Monks
Bengaluru, India
1-10 Employees
2017
Our Big Data Analytics Course Include 100+ hands-on case studies of analysing real-time datasets using Apache Spark with Scala/Python and AWS stacks with your PC and/or on multi-node EMR cluster! Stay ahead in the market with practical examples on MongoDB, AWS Glue & Data-bricks Delta Lake, Join online Big Data course now and grow your carrier. You can get into a Big Data role in max 2-3 months! 60 hours of hands on sessions are more than sufficient. We discuss every possible interview questions and a lot of programming assignments while discussing a topic. We keep on improvising our example codebase and those can be directly used in your projects in later stage.
Core business
Big Data Analytics Course From Industry Experts
... , Learn Big Data Analytics From Industry Experts with ...
PARFINTECH SRL
Udine, Italy
1-10 Employees
2020
Società iscritta nella sez. speciale del Registro delle Imprese di Udine e Pordenone riservata alle start-up innovative viene costituita nel 2020 con un capitale sociale di. Par.Fin.Tech srl - start-up innovativa - vuole diventare il punto di riferimento nel panorama del Big Data Analytics reso accessibile alle piccole e medie imprese. Data mining, sentiment analysis e software di machine learning resi accessibili e personalizzabili in tempi rapidi. In aggiunta alla gestione di EXTRADATA, piattaforma di raccolta e gestione dati (big data), la società investe nelle campagne di equity e lending crowdfunding attraverso le piattaforme. Il nostro software è in grado di ricercare sul web tutte le informazioni necessarie al funzionamento ottimale della tua azienda, compresi gli insights sui trend di mercato più attuali.
Core business
Big Data Analytics a supporto della tua azienda
... Big Data Analytics a supporto della tua azienda. Par.fin.tech. srl offre ...
DataMicron
Malaysia
51-100 Employees
2002
Datamicron builds long term relationships with customers and partners through our dedicated and professional workforce. DataMicron is a solution provider that offers innovative and patented technologies encompassing of Artificial Intelligence, Big Data, Internet of Things, Private Messenger and Business Intelligence (BI). Our product helps world leading organizations to remain competitive by managing and improving their business processes, operational excellence, human capital alignment and business strategy through the usage of machine learning, big data, data analytics and IoT.
Product
Banking - Big Data Analytics
... Banking - Big Data Analytics ...
Binfact LLC
Kansas City, United States
1-10 Employees
2016
BINFACT, a speciality IT service company located in Kansas City, Missouri, provides comprehensive Business Intelligence (BI), Data Integration, Big Data Analytics, and application development solutions. As a result, we are able to be strategic advisors with our clientele—that is, we progress businesses into the future with our technology services and empower them to make better decisions. Our team prides themselves in being experts in the IT field.
Service
Big data Analytics
... Big data Analytics – BINFACT ...
Polymatica Europe
Moscow, Russia
51-100 Employees
-
Polymatica allows forecasting without involving data scientists.And because it analyses full datasets, forecasts are more complete than ever before – removing the need for guesswork when making critical decisions. Polymatica Decision Manager enables the easy creation, deployment, and centralized management of decision-making strategies based on both artificial intelligence models and user expertise. Polymatica has expanded the functionality of its machine learning platform, Polymatica ML, by introducing the capability to use Auto ML. Polymatica, the world famous developer of zero-coding analytical systems, has presented the first commercial version of the Polymatica ML module, which enables business users to create machine learning models and control their life cycle. And our team of experts have the knowledge and the skills needed to help you do just that. Association rules might be used to reveal products most often bought together, or, in finance, pinpoint predictors of credit risk – all without custom coding. Use rules to increase revenues, decrease risk or leapfrog competitor offerings.
Product
POLYMATICA: Big Data Analytics and Data Science Solution
... POLYMATICA: Big Data Analytics and Data Science ...
Plianto Technologies
India
11-50 Employees
2010
Plianto Technologies implemented end-to-end Big Data solutions with Machine Learning, Deep Learning and NLP seamlessly baked into it. Plianto Technologies, established in January 2012, is a team of experts having a combined experience of more than 100 years in data analytics, software design and development. We are a team of committed and passionate professionals, who have a rich experience in data analytics, enabling us to design and develop integrated and effective solutions. Plianto Technologies implemented end-to-end Big Data solutions with Machine Learning, Deep Learning and NLP seamlessly baked into it. Plianto Technologies has developed Academic Institute Management System (AIMS), which offers a suite of smart features that allow seamless integration of resources, and processes for enabling improved performance. Plianto Technologies Pvt Ltd IIT Hyderabad Technology Research Park, IIT Hyderabad Campus, Kandi, Sangareddy - 502285. Plianto Technologies Pvt Ltd 4077 Caribbean common Fremont CA 94555, USA. We rely on the business requirements to determine the right technology for the product rather than limiting your solution options.
Core business
Big Data Analytics
... Big Data Analytics Plianto Technologies implemented end-to-end Big Data ...
Neuralbeans
Corfu, Greece
1-10 Employees
2021
We are the software factoryfor smart innovative apps. We are a technology startup created with the aim of making our clients’ products and services more innovative and intelligent, thus offering a rewarding end-user experience. Companies will thrive or wither depending on whether they realize this potential.”. We are a team of IT professionals bringing over 20 years of combined experience and know-how to the table in an effort to drive the successful adoption of AI. Make smarter products and services to improve people’s quality of life.
Product
Big Data Analytics
... Big Data Analytics – ...
SNSKIES
Islamabad, Pakistan
51-100 Employees
2007
SNSKIES has an exceptional blend of people, deep domain expertise, and technology capabilities to help you generate top-line growth. With SNSKIES Cloud Transformation Solutions, you can unleash the potential of the cloud. Leverage SNSKIES Software Testing & QA Services to achieve high quality and performance. SNSKIES provided PTCL with an integrated SOC solution along with a resident engineer to ensure unhampered support services that help secure PTCLs mission critical applications, systems and networks from the latest malware and emerging online threats. SNSKIES provided Level 2 DNS & SMTP SLA Support Services for Jazz on its IP Transit links. For entire contract period SNSKIES always achieved the target SLA and ensured 99.9% service uptime. SNSKIES provided this services for 5 years and trained Jazz team before they insourced the DNS services to their own NOC engineers. SNSKIES presented TWA with a Web filtering solution to fullfill 100% compliance to regulatory standards.
Core business
SNSKIES - Solution Design & Deployment | Software Development - Cyber Security - Big Data | Data Analytics | Network Solutions
... , lawful interception, big-data analytics and integration, cloud ...
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
Go to product
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.
Some interesting numbers and facts about your company results for Big Data Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 2521 |
| Amount of suitable service providers | 2709 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2004 |
| Youngest suiting company | 2021 |
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Big Data Analytics refers to the complex process of examining large and varied data sets — or big data — to uncover information such as hidden patterns, unknown correlations, market trends, customer preferences, and other useful business information. The analytical techniques applied can include various forms of advanced analytics, such as data mining, predictive analytics, text analytics, and statistical analysis, among others. This method utilizes both structured and unstructured data, drawing from a myriad of sources like social media, sensors, digital images, and sales transaction records. The primary aim is to aid organizations in making more informed decisions, optimizing operations, and identifying new market opportunities. In its role within its respective field, big data analytics has transformed the landscape of industries by providing insights that lead to more effective marketing strategies, enhanced customer service, improved operational efficiency, and competitive advantages. For example, in healthcare, it enables the prediction of epidemics, improves care, and reduces costs by identifying inefficiencies. Similarly, in retail, it helps in understanding consumer behaviors, thus tailoring offers and managing supply chains more effectively. Essentially, the impact of big data analytics is profound, ushering in an era where data-driven decision-making is paramount to achieving business success and innovation.
1. Enhanced Decision Making
Big Data analytics allows organizations to sift through vast amounts of information quickly, leading to more informed decisions. By leveraging real-time data, companies can adapt to market changes swiftly, ensuring they remain competitive.
2. Cost Efficiency
By identifying more efficient ways of doing business and optimizing operations, Big Data analytics helps in significantly reducing costs. Tools and technologies available for big data analytics, like cloud-based analytics, can also offer cost advantages by bringing down the expense of storing large amounts of data.
3. Improved Customer Insights
Big Data analytics enables businesses to understand their customers better by analyzing and interpreting large datasets. This insight into customer behavior and trends can lead to more effective marketing strategies, personalized experiences, and consequently, higher customer satisfaction and loyalty.
4. Risk Management Enhancement
The predictive capabilities of Big Data analytics can be utilized for better risk management. By analyzing patterns and trends within the data, companies can predict potential risks and devise strategies to mitigate them, enhancing their resilience against unforeseen events.
While evaluating the different suppliers make sure to check the following criteria:
1. **
Data Security
**
Ensure the supplier has robust data security measures to protect sensitive information. This includes encryption, secure data storage, and compliance with regulations like GDPR.
2. **
Scalability
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The supplier's solutions should easily scale to accommodate growing data volumes and complexity, ensuring consistent performance.
3. **
Analytics and Reporting
**
Look for advanced analytics capabilities that can provide deep insights and facilitate data-driven decisions. The ability to customize reports is also crucial.
4. **
Integration Capabilities
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The supplier should offer seamless integration with existing systems and platforms within your organization to ensure smooth operations.
5. **
Technical Support
**
A reliable supplier provides excellent technical support and service to address any issues promptly, minimizing downtime.
6. **
Cost-effectiveness
**
Evaluate the total cost of ownership, including setup, maintenance, and subscription fees, to ensure it aligns with your budget and offers good value for the investment.
Big Data Analytics has revolutionized how businesses across various sectors make strategic decisions, leveraging vast amounts of data to drive efficiency and innovation. In the finance industry, it's used for risk management by analyzing transaction patterns to detect fraud and assess credit risks. Financial institutions can thus offer more personalized services and safeguard their operations against potential threats. In healthcare, Big Data Analytics enables predictive modeling, improving patient outcomes through personalized medicine. By analyzing patient data and clinical research, healthcare providers can identify effective treatments faster, reduce errors, and enhance service delivery, leading to better patient care and operational efficiency. The manufacturing sector employs Big Data Analytics for predictive maintenance, utilizing sensor data from equipment to anticipate failures before they occur. This approach minimizes downtime, reduces maintenance costs, and extends the lifespan of machinery, significantly boosting productivity. Retail businesses leverage Big Data Analytics for customer segmentation and personalized marketing. By understanding shopping behaviors and preferences, retailers can tailor their offerings and marketing messages to meet individual customer needs, enhancing the shopping experience and driving sales. In logistics and supply chain management, Big Data Analytics facilitates route optimization and inventory management. Analyzing traffic patterns, weather data, and supply chain disruptions, companies can optimize delivery routes, reduce shipping times, and manage inventory more effectively, ensuring timely deliveries and customer satisfaction.
Big Data Analytics has reached a high Technology Readiness Level (TRL), generally considered to be at TRL 9, indicating that it is fully mature and operational in real-world environments. This classification stems from the extensive development, refinement, and integration of big data technologies across various sectors, including finance, healthcare, and retail. The technical underpinnings for this maturity level include advancements in data storage solutions, such as cloud services, which provide scalable and cost-effective platforms for handling vast amounts of data. Furthermore, the evolution of machine learning algorithms and artificial intelligence (AI) has significantly enhanced the capacity to analyze and derive meaningful insights from large datasets, making big data analytics more accurate and actionable. Parallel computing and advancements in processing power have also played a crucial role, enabling the real-time analysis of big data. The widespread adoption and successful deployment of big data analytics in solving complex problems and facilitating decision-making processes underscore its operational readiness and effectiveness, solidifying its position at TRL 9. These technical achievements not only demonstrate the robustness and reliability of big data analytics but also signify its essential role in driving innovation and efficiency across industries.
In the Short-Term, advancements in big data analytics are poised to significantly improve real-time data processing capabilities. Technologies such as in-memory computing and faster data streaming services will enable organizations to analyze data as it is generated, offering insights with minimal delay. This immediate access to data-driven insights will enhance decision-making processes across various industries, from retail to healthcare, where time-sensitive decisions are critical. Moving into the Mid-Term phase, we can expect a deeper integration of AI and machine learning with big data analytics. This synergy will not only automate the analysis of large datasets but also refine the accuracy of predictive models. As machine learning algorithms become more sophisticated, their ability to uncover patterns and predict trends from vast amounts of data will become more nuanced. This period will likely witness the emergence of more personalized and precise analytics services, catering to the specific needs of businesses and individuals alike. In the Long-Term, the frontier of big data analytics will expand with the advent of quantum computing, transforming data processing capabilities beyond current comprehension. Quantum computing promises to process complex datasets exponentially faster than traditional computing methods, potentially solving problems deemed intractable today. This quantum leap in processing power will unlock new possibilities in data analysis, offering insights from data volumes and complexities previously unimaginable, and fundamentally changing the landscape of big data analytics.
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 ZR-Tech UK Ltd.
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, Finance and Insurance
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.
