This chapter presents several techniques and examples illustrating how SQL can be used to perform in-database analytics. The examples of SQL code provided in the chapter were tested against Greenplum database 4.1.1.1, which is based on PostgreSQL 8.2.15. The chapter illustrates as SQL also ...
TitleLength Accelerate your advanced analytics: R, Python & MATLAB Leverage your existing investments directly in Tableau to create impactful data stories everyone can investigate. 55 minWatch now Advanced Mapping Techniques For organizations that need to analyze data geographically to drive their business...
Advanced analytics Unlock more value from your data through analytics you can trust To create a robust strategy, you need reliable results. With decades of experience in advanced analytics and complex modeling techniques, we deliver results you can trust. What seems like a black box to many is ...
Empower your business with AI-driven data and analytics services. From consulting to data governance, we help enterprises automate and leverage data for growth.
To grow and make their capabilities in the field much more impactful Employing new tools, such as web scraping, network analytics for use in a wide range of scenarios Improving the way on how to increase the quality of data they receive and how it is being received Looking forward to new ...
help users improve their skills. Existing employees likely know the business and its data; they already understand the business context, which can prove invaluable in analytics. One downside is how much time training can take, especially for more advanced techniques. It requires patience and ...
Risk Analysis: Every business looks for ways to mitigate future risk, but only those that employ advanced analytics can manage large data sets, or even data streams in real time, to identify patterns of risk. Advanced analytics techniques can be used to detect fraud in payments and orders or...
existing data to work that had been trapped in business units and functional silos, and they are managing new types of data coming at them from a wide variety of external sources. They are also building better models with greater predictive power by applying advanced tools and techniques. ...
In this course, Advanced Data Visualization Techniques in R, you’ll learn how to use R and RStudio to create effective and meaningful data visualizations at an advanced level. First, you’ll explore the fundamentals of layering and aesthetics in ggplot2, becoming adept in annotated plots, them...
Advanced Analytics is the systematic examination of data or content using statistical techniques and tools to gain and comprehend deeper insights and provide recommendations, which are beyond the traditional business intelligence (BI). Advanced analytic techniques include those like sentiment analysis, data...