Data Collection and Analysis System Building Blocks for Real Projects

Ariel Sepúlveda, PhD.
ariel.sepulveda@prontoanalytics.com
 President Pronto Analytics Inc.

ABSTRACT

I will demonstrate the building blocks of WL systems Pronto Analytics has created for 1) collecting high quality data in databases using a customizable database data editor and 2) empower decision makers at different hierarchical levels with custom made GUI-based data analysis applications and report generation systems.  The demonstrations will be based on real systems created for different type of organizations.  

Basic elements of the DB editor include dynamic editor suggestions, data type editor selection (String Editor, Text Editor, Date Menu, Integer Editor, Real Editor, Image Editor, Sound Editor, etc.), quick query editor (for identifying and updating records) and user authentication.  Advanced elements of the DB editor include batch updates, design of custom single or multiple table editor template (including individual field quality check), multiple table editor in parallel, data importing from spreadsheets, DB table creation or column property modifications.

Beyond the WL extensive library of data analysis and charting functions our data analysis toolbox include Hierarchical Pivot Table Analysis with infinite number of categorical variables and text analysis capabilities.  Other data viewing, analysis and charting functions like a multiple variable (up to five) data summary chart and a spreadsheet-like data viewer are also available among other.  

These data collection and analysis building blocks are combined to create custom GUI based solutions for any type of client.  Often these solutions include the migration of data from spreadsheets or other type of informal DB system to a formal DB system.  The only requisite for using this technology is that clients must be in need of a more reliable and dependable solution for either their data collection, analysis or report generation system.

Introduction

WL is great!

Shift + Enter is most of the times too complicated for users.

WL provides excellent GUI development tools

Automating data analysis with Wolfram Alpha may be

Too expensive

Not what you need

I’ll show some of the building blocks I’ve created for generating WL based GUI solutions to different types of clients.

Building Block 1: BEST DB Editor

DB Editor: Intro

DB Editor: Application Example 1

DB Editor: Application Example 2

DB Editor: Application Example 3

Building Block 2: BEST Viewpoints

Building Block 3: RADAR Palettes

RADAR Palettes

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Blocks at Work

RADAR Systems Intro 1

RADAR Systems Intro 2

RADAR Systems Intro 3

Example of a RADAR System

Need help promoting the use of Wolfram technology in your organization?

Let’s build a RADAR system to make your work more easily accessible to your organization.

Or, I may help you with training to create GUIs in WL.

Contact

Ariel Sepúlveda, PhD.

Pronto Analytics Inc.

ariel.sepulveda@prontoanalytics.com

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