Sentence examples for data analytics technology from inspiring English sources

Exact(18)

Data analytics technology, such as: Visualization; Automated analysis algorithms; or Context-aware computing.

When WellPoint undertook this task, it discovered that there was more to it than simply the challenge of applying data analytics technology — the company's innovation processes had to be reinvented.

Classroom sessions focused on identifying the unique factors that have earned Israel the nickname "startup nation". Last November, students were matched with six different organizations in Israel to work on strategic challenges in areas such as big data analytics, technology, and telecommunications, with an emphasis on early-stage ventures and their growth.

Consequently, big data analytics technology with minimized impact on the environment is highly desirable [43].

69% say increasing in-house data analytics technology and skill levels is the top route to boost data analytics capabilities.

He also used Cloudera Impala, a new data analytics technology based on work also done at Google.

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Similar(42)

In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies.

Namely, the healthcare system can be seen as a cyber physical system (CPS) for patient-centric healthcare applications and services, called Health-CPS, based on cloud computing, Wireless Body Area Networks (WBANs) and big data analytics technologies.

Green computing aligns the big data analytics technologies with the concept of sustainability i.e. reduction, reusability, and recycling.

For example, Tungee, a Guangzhou-based startup cofounded in 2016 by Chen Kairan and Li Zhan, uses artificial intelligence and data analytics technologies to analyze sales results and customer preferences.

Thanks to recent advances in data analytics technologies, oil and gas companies now have the prospect to considerably widen and systematize the scope of their forecasting to include operational processes up and down the value chain.

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