What is the difference between data visulization and data di

What is the difference between data visulization and data discovery? What is the role of data discovery in corporate decision making?

Solution

Data Discovery

Data gathering is easy, almost too easy. Data from an ever-growing number of sources can be captured by corporate systems or purchased from any number of data providers and stored in massive data farms for analysis. These repositories can be vast untapped natural resources for businesses to mine and refine. Data discovery is the process of breaking complex data collections into information that users can understand and manage

Data Visualization

“A picture is worth a thousand words” may be an overused aphorism, but it pithily recognizes that human beings tend to be visual interpreters of the world around them. Representing data in visual form is an established and well-known technique to bring immediate impact to dull and boring numbers. Data visualization takes this concept to new levels by introducing a wide array of tools and techniques to create visual representations that can immediately reveal otherwise difficult-to-perceive patterns or relationships in the underlying data

data discovery platforms also offer speed advantages to IT and the application development process. By minimizing the up-front data modeling that is required of traditional BI systems, data discovery systems can reduce application development time 50% or more. Empowered by this speed advantage, some organizations are using a data discovery platform to “prototype” – at minimal cost and effort – analytic applications that would otherwise have been created with traditional development tools using data from the data warehouse. Through the prototype, the user gets fast access to the data they need to be productive; at the same time, IT and the business together learn whether the application meets the actual business goals.