CRACK THE BIG DATA CHALLENGE WITH POWERFUL, PROVEN ANALYTICS
Big data is the term for extracting and using rich information from massive data stores. Sheer huge scale, data distribution complexity, diversity, or immediacy of need – or all of these characteristics – require you to apply new technological architectures and analytical methods to discern insights and unlock new sources of business value.
NEUBRAIN BIG DATA SOLUTION
A typical analytical architecture comprising Enterprise Data Warehouses (EDW), data maps and Business Intelligence tools is not sufficient to support the needs of big data analytics. This infrastructure hinders real-time extensive data exploration, iterative and flexible analytics, and advanced analytical tools to enable prediction capabilities.
Instead, Neubrain has partnered with leading technology vendors, like Cloudera (Hadoop), IBM, Alteryx, Tableau, BOARD, and devise and deliver big data technology platforms. Neubrain’s data scientists have a unique blend of industry skills and expertise in big data analytical methods and tools to help your organization seize new opportunities and derive the benefits that big data make possible.
Neubrain can support your big data project from strategy and business case development to capabilities blueprinting, technology selection, implementation, and support. Our approach helps you build your own high performance, flexible and cost effective analytics sandboxes that fuse advanced, proven analytical techniques with big data.
Many possible characteristics describe big data, including:
Huge volumes
You may be dealing with up to billions of rows or columns of data elements, or thousands of disparate sources
Complexity
Your data are a combination of structured, semi-structured, quasi-structured, and unstructured types, and we project that up to 90% of future data growth will be of the latter three types.
Speed or velocity of new data creation
Along with great volume and complexity, your data are increasingly perishable, adding pressure to use or lose the precious information they represent promptly and cost effectively.
Veracity
Your confidence in the truthfulness, accuracy, reliability, and correctness of your data and its inherent information is crucial. Confidence can be elusive for big data applications since they often come with data inconsistencies, incompleteness, ambiguity, latency, possible deception, and model approximations.
Quick Audit and Proof of Concept
Determine The Value Proposition Of Business Analytics Technology For Improving Your Decision-Making
Quick Audit and Proof of Concept
Determine The Value Proposition Of Business Analytics Technology For Improving Your Decision-Making
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