Sentence examples for high-level analytics from inspiring English sources

Think of it as a high-level analytics plan for the whole business.

We are really targeting a simple aggregation for high-level analytics.

Meanwhile, institutions can use the high-level analytics to assess the impact of their care, spot trends and pre-emptively improve care.

There are many applications that focus on those specific industries — like electronic medial record systems in health care, for example — and other companies that provide high-level analytics like Palantir or IBM.

To ease the development of high-level analytics, an important design of DCMS is that the query interfaces are extensible: an analytical query written by a user (called user-programmed analytics) can be integrated into the current DCMS query interface (and become part of the DCMS built-in analytics that can be directly accessed by an SQL statement).

With the right kinds of electronic monitoring (including sensors of all kinds), sufficient data collection, investment in high-level analytic capabilities and appropriately trained staff, a city could become a "smart city". All this digitized data could be displayed in visual form -- across multiple platforms – so that everything would be easy to read and understand.

However, this approach demands a broad knowledge base and high level analytic skills from the intrepid practitioner.

The feedback needed to improve high level analytic and writing skills is particularly detailed and time consuming for both advisor, and advisee, far beyond the resources of even the largest journals to provide [ 16, 22].

In DCMS, we envision two types of user programs: primary queries and high-level data analytics.

By the time you are done, you should have a good high-level understanding of analytics methodologies, including predictive analytics and A/B Testing, and good hands-on comfort using business analytics to solve common problems using Excel as a tool.

Advanced "applied" stat techniques (intro): High-level understanding of predictive analytics: Time Series, Predictive Analytics – Regression and Decision Tree, Segmentation, Neural Networks.