Data Model and Data Modelling

Data Model is a starting phase of a database designing and usually consists of attributes, entity types, integrity rules, relationships and definitions of objects. Data modeling is the process of creating a data model for an information system by using certain formal techniques. Data modeling is used to define and analyze the requirement of data for supporting business processes.

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53 percent of CEOs consider themselves the primary leader of their company’s analytics agenda.
The education vertical currently has the lowest adoption of big data among vertical industries, but educators are most likely to say they may use big data in the future.
Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.
83 percent of enterprise executives say they’ve pursued big data projects to gain a competitive advantage.
The big data software market was worth $31 billion in 2018, growing 14 percent from the year before.
In the banking sector, investments in big data analytics were estimated at $20.8 billion in 2016.
The big data industry will be worth an estimated $77 billion by 2023.
People generate 2.5 quintillion bytes of data each day.
59 percent of executives say big data at their company would be improved through artificial intelligence (AI).
29 percent of investment professionals use expert networks to derive data.

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