Remove Information Remove Measurement Remove Metrics Remove Slice and Dice
article thumbnail

The How-To Guide for Cleaning and Preparing Data for Analysis

Juice Analytics

Columns , then, are the descriptive information about each of the rows. We call them measures (variables that you add up, average, or are otherwise used for calculations) or dimensions (variables that can be put into buckets or describe the things in the rows). Find measure columns that are either empty or all the same value.

article thumbnail

12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive. Structure your metrics. That way you can choose the best possible metrics for your case.

Reporting 280
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets

Occam's Razor

"What is the difference between a metric and a key performance indicator (KPI)?" " "Are goals metrics?" There seems to be genuine confusion about the simplest, most foundational, parts of web metrics / analytics. The post will end with a Web Analytics Measurement Framework. " And many more.

Metrics 138
article thumbnail

Common Business Intelligence Challenges Facing Entrepreneurs

datapine

In the Age of Information, forward-thinking organizations are reaching exciting new levels by leveraging the capabilities of innovative new business intelligence (BI) solutions. They need to make quick and informed decisions. With data spread across multiple systems, getting the information you need can be an arduous task.

article thumbnail

How Product Analytics Differs From Embedded Analytics and Why You Need Both

Jet Global

Analytics is vital now because providing end-users with the ability to analyze, slice, and dice data within the context of their application is essential to staying competitive in today’s fast-paced digital world. Information about everything a customer does on a product, down to the click, scroll, tap, page view, and form fill.

article thumbnail

The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

At the core of everything you will do in digital analytics is the concept of metrics. How do you define a metric: It is simply a number. Your digital analytics tools are full of metrics. Helpful post: Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies.]. Now you have your foundation, metrics and KPIs.

Analytics 150
article thumbnail

Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS

AWS Big Data

It helps you see your mission-critical metrics at different aggregation levels in a single pane of glass. Such analysis can provide insight into customer preferences and behavior, which can be used to inform marketing strategies and product development. Also provides auditability for the generated aggregations.