Self-Serve Data Preparation and Augmented Data Prep Go Hand in Hand! I was talking to a friend the other day and she shared with me her experience at a recent business intelligence conference. She was a bit confused by some of the terminology and we […]
Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the ‘analytics translator‘. As the enterprise considers the relevance […]
Advanced Analytics, Analytics Translator, Citizen Data Scientist, Data Scientists, Predictive Analytics, Self-Serve Data Preparation What’s So Great About Smart Data Visualization? Exactly what is smart data visualization? Are we now dependent on a computer or a piece of software to decide how we see our data? Have we lost control of our reporting, data sharing and data views? The […]
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The concept of Clickless Analytics is one that will be happily embraced by business users and by the business enterprise. The reason is simple! Clickless Analytics allows users to find and analyze information without specialized skills, by using natural language. In this, the first of […]
Augmented Analytics, Augmented Analytics India, Clickless Analytics, Natural Language Processing, Search Analytics, Smarten Definitions, What is Clickless Analysis?, What is Clickless Analytics? Wondering if Augmented Data Discovery is for You? Wonder No More! If you have heard of Augmented Data Discovery (aka Smart Data Discovery), but you don’t quite understand what it is and its value to average business, then we really need to talk! Augmented Data […]
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Augmented Data Preparation, Augmented Data Preparation India, Data Prep, Data Preparation Software, Data Preparation Tools, Self-Serve Data Preparation, Self-Service Data Prep, Self-Service Data Preparation Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications […]
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