Data to Decisions

Automation, Integration, Analytics, Reports & Dashboards

Flow Crash Course - Part 5 - Generic Expressions and Data Point Computing

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

Overview

This is the fifth blog post in our crash course series on Flow. In this blog post, I provide an introduction to Generic Expressions in the Flow Computing Framework.

Flow Crash Course - Part 5 - Generic Expressions and Data Point Computing

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

 

 

Perform a Word Count Analysis with Flow Flow Analytics

Overview This article demonstrates how to perform a word count analysis in Flow. In this blog post,

Overview

This article demonstrates how to perform a word count analysis in Flow. In this blog post, I provide a worked example showing how to take in unstructured natural language data and compute a unigram language model against that data. The result of the language analysis returns a new profile dataset which holds each unique token present in our natural text and the count of times each word occurred. This blog post teaches a quick one-step technique for doing an initial exploratory analysis of natural text data.

How to Perform a Word Count Analysis with Flow Flow Analytics