Data to Decisions

Automation, Integration, Analytics, Reports & Dashboards

An End-to-End Data Analytics Walkthrough

Overview This blog post provides a worked example of an end-to-end automated business intelligence s

Overview

This blog post provides a worked example of an end-to-end automated business intelligence solution. This blog post demonstrates how to load data from different sources, join the data together, cleanse and correct data quality issues, compute hypercubes, and design a dashboard. I then demonstrate how to deploy the solution to the autonomous agent framework for continuous execution.

An End-to-End Data Analytics Walkthrough

Flow Crash Course - Part 8 - Data Visualization / HyperCube Visualization / Multi-dimensional Tables

This is the eighth blog post in our crash course series on Flow. In this blog post, I provide an int

Overview

This is the eighth blog post in our crash course series on Flow. In this blog post, I provide an introduction to HyperCube Visualizations and Multi-dimensional HyperCube Tables in the Flow Computing Framework.

Flow Crash Course - Part 8 - Data Visualizations and HyperCube Multi-dimensional Results

Flow Crash Course - Part 4 - Basic Data Summary Functions

This is the fourth blog post in our crash course series on Flow. In this blog post, I provide an int

This is the fourth blog post in our crash course series on Flow. In this blog post, I provide an introduction to Basic Data Summary Functions in the Flow Computing Framework.

Flow Crash Course - Part 4 - Basic Data Summary Functions

A Quick Introduction to the Five Types of Filters in Flow

In this blog post, I provide an introduction to the five filter actions in Flow. Filter actions are

Overview

In this blog post, I provide an introduction to the five filter actions in Flow. Filter actions are functions which select a specific subset of records from a designated data collection based on some target match criteria. This blog post introduces the different types of filters and provides a comprehensive worked video example demonstrating how to configure and implement these filters against a sample data collection. The filter actions are some of the most elementary and integral operations in the Flow computing framework. Mastering the different types of filters is key to data processing, data analytics, and business intelligence workflow design.

A Quick Introduction to the Five Types of Filters in Flow

 

 

Cognitive Computing using Flow Analytics

This post provides a hands-on introduction to cognitive computing applications in Flow. It introduce

Overview

This post provides a hands-on introduction to cognitive computing applications in Flow. It introduces the IBM Watson cognitive actions for unstructured text analytics.

Cognitive Computing using Flow Analytics

 

 

Building Tables and Pivot Tables in Flow Analytics

Overview In this post, we'll build a six-step workflow that produces Pivot Table and Table results.

Overview

In this post, we'll build a six-step workflow that produces Pivot Table and Table results. It shows how to load data, use expressions to derive time-period values from a date field, build a hypercube using those time-period values as dimensions and, finally, how to create and view pivot table and table results using the hypercube.

Building Tables and Pivot Tables in Flow Analytics

A Basic Introduction to Multidimensional Analysis Using Flow

Overview This article presents a basic introduction to multi-dimensional analysis and analytics-orie

Overview

This post presents a basic introduction to multi-dimensional analysis and analytics-oriented processing using Flow. It discusses data sets, measures, dimensions, and hypercubes; then it provides a step-by-step example of building a workflow to analyze some fictional A/B test data.

An Introduction to Multidimensional Analysis