Journey from Data To Data ProductSpeaker: Neha Sharma – Pune, India
Topic(s): Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science
AbstractThe APIs published by Netflix, LinkedIn, Twitter, Facebook etc are the examples of data product. The lecture would emphasize on the journey of data from being raw to getting converted to data products. Data products are typically referred to in the business space, meaning any application of data that is of value to the business. Typical data products are predictive, descriptive or prescriptive models, as well as insights. Those data products that can help a business generate revenue, optimize costs, mitigate risk, improve compliance... make up a large part of what the whole data value chain - from data sourcing to value creation - should strive to achieve. After all, data, its associated effort and its associated technology investment is all a waste of time and money if it does nothing for the organization's stakeholders. The lecture would focus on how raw data, after pre-processing, applying statistical analysis and building models, gets converted into a fully developed product.
About this LectureNumber of Slides: 75
Duration: 90 minutes
Languages Available: English
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