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 9 - Deployment to Autonomous Agents

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

Overview

This is the ninth blog post in our crash course series on Flow. In this blog post, I provide an introduction to deploying the solution developed in the previous sections to the Flow Autonomous Agent Framework.

Flow Crash Course - Part 9 - Deployment to Autonomous Agents

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

Build HyperCube-Based Autonomous BI Dashboard

In this blog post, I demonstrate how to build a hypercube-based autonomous BI dashboard. I explain t

Overview

In this blog post, I demonstrate how to build a hypercube-based autonomous BI dashboard. I explain the current-state landscape of BI reporting and data analytics technologies. I provide details on the current limitations of existing BI approaches to automated reporting. I then define the characteristics required for a next-generation BI analytics and reporting framework capable of meeting the current and emerging reporting requirements that most businesses face. I provide a worked example demonstrating how to develop a solution which answers these emerging challenges. In the worked example, I show how to compute hypercubes from raw data and use those hypercubes as the basis for n-dimensional drill through dashboards. I explore various transformations and aggregation techniques across hypercubes to demonstrate how to summarize data across multiple dimensions. I show the power of Flow's multidimensional visualization and pivot engine by creating visualizations which allow for 5+ levels of drill-down. I finish the example by designing an interactive dashboard and showing how to distribute the completed report across an organization. Finally, I cover how to deploy the developed workflow to Flow's agent framework to continuously and autonomously execute our reporting tasks on a schedule.

How to Build HyperCube-Based Autonomous BI Dashboard