Big data analytics is where advanced analytic techniques operate on big data sets. Hence, big data analytics is really about two things—big data and analytics—plus how the two have teamed up to create one of the most profound trends in business intelligence (BI) today.
GOSOL is a full-service big data analytics company, offering end-to-end solutions and consulting services. Our solutions are designed to meet real-world challenges by integrating various data sources—structured and unstructured databases, text documents, social media feeds etc.—to create a comprehensive view of your customers and their behaviour patterns. The result is an actionable insight that enables you to make smarter decisions based on accurate insights.
GOSOL has a team of industry experts who are well versed in the business needs and objectives of its customers. This enables GOSOL to create solutions that are tailored to your specific requirements. All solutions are seamlessly integrated with existing enterprise software, databases and systems.
The experts at GOSOL can draw out a big data implementation/evolution strategy, conceptualise a big data analytics solution, choose an optimal technology stack, and validate the viability of a big data project in a PoC.
We help you develop a big data implementation/development strategy, choose the optimal technology stack, and prove the viability of a complex big data project, GOSOL draws up a big data analytics solution, conceptualises a big data analytics solution, chooses the right technology stack, and demonstrates the viability of a PoC. To address your company’s needs and objectives, GOSOL develops, produces, and implements a full-scale big data analytics solution with a unique set of features. Onsite and remote help is available to help you diagnose problems with the existing big data infrastructure and introduce relevant changes to ensure optimal ROI for your big data solution and its seamless evolution.
GOSOL designs develop and implement a full-scale big data analytics solution with a unique feature set to address your business needs and objectives.
We build on the most advanced technologies available in the market today, such as Apache Spark™, Hadoop® and other open-source software. Our solutions are designed to meet real-world challenges by integrating various data sources—structured and unstructured databases, text documents, social media feeds etc.—to create a comprehensive view of your customers and their behaviour patterns. The result is an actionable insight that enables you to make smarter decisions based on accurate insights.
GOSOL’s solutions are designed to help businesses capture, store, and analyse data from various sources in order to create a comprehensive view of their customers. GOSOL’s big data analytics solutions can be applied to a wide range of business scenarios.
GOSOL works with you to understand your business objectives and helps you implement the right tools and technology for analysing your business data. Our team includes experts in data science, IT, and business application development who can help you get the most out of your advanced technology tools.
We have experience working with a variety of industries, including telecommunications, finance, banking, consumer goods companies and government agencies. We provide an end-to-end solution that helps our clients capture data from various sources, manage it on their own servers or in the cloud and analyse it using big data analytics tools. Our team has extensive knowledge of both structured and unstructured datasets as well as how they can be integrated into one comprehensive view for better decision making.
Its broad experience in IT infrastructure architecture design for large-scale enterprise applications complements GOSOL’s expertise in big data analytics. Our team has implemented many large enterprise applications that require high availability and scalability to handle increasing volumes of information generated by an increasing number of users across multiple locations worldwide. We apply our expertise in cloud computing technologies such as Amazon Web Services (AWS)
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