13 Metrics You Should Be Tracking (But Don’t). In this post, we’re going to explore a practical framework for assessing and comparing data quality. You can apply this to data produced internally, as well as data purchased from 3rd-party vendors.
You need reliable information to make decisions about risk and business outcomes. Often this information is so valuable that you may seek to purchase it directly through 3rd-party data providers to augment your internal data. Yet, how often do you consider the impact of data quality on your decisions? Poor information can have detrimental effects on business decisions, and consequently, your business performance, innovation, and competitiveness. In fact, according to Gartner, 40% of all business initiatives fail to achieve their targeted benefits as a result of poor data quality. Organizations that treat information as a corporate asset should engage in the same quality assessment discipline as with their traditional assets. This means monitoring and improving the quality and value of their information continuously. In this post, we’re going to explore a practical framework for assessing and comparing data quality. You can apply this to data produced internally, as well as data purchased from 3rd-party vendors.
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
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Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
The biggest problem we face today is the commoditization of education. Individuals and corporations alike would like quality courses to be offered by the best faculty at the lowest price
For this week’s latest data science job openings, we have come up with a curated list of job openings for data scientists and analysts.