TL;DR — Uncover competitive insights from information and analytics using Federal contracting #opendata. Analyze > 100GB’s of US Federal spending open data with a few lines of Python code.

Previous Blog Post in this series can be found at this link.

Python code and the jupyter notebook for this analysis is on Github here.

Introduction

Several of the most popular and influential HBR articles on business strategy explore the relationship between market share, market growth, and profitability. In this tenth blog in my series, I show you how you can use Federal spending open data (USAspending.gov) …


Gaining an Analytics Edge Using Federal Spending Open Data Series

Context

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

TL;DR — Analyze GB’s of US Federal spending data with a few lines of Python code. Uncover competitive insights from information and analytics.

Previous Blog Post in this series can be found at this link. …


Gaining an Analytics Edge Using Federal Spending Open Data Series

Context

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

TL;DR — Analyze GB’s of US Federal spending data with a few lines of Python code. Uncover competitive insights from information and analytics.

Introduction

In earlier Medium.com blog posts in this series, I focused on the mechanics of downloading and preparing USAspending.gov Federal contractor obligations (spending) data using Python and its ecosystem of open-source packages such as pandas and Dask. In this post, I demonstrate how a business analyst and strategist can use this information to analyze the data in ways that provide context for business investment decisions. …


Gaining an Analytics Edge Using Federal Spending Open Data Series

Context

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

TL;DR — Analyze GB’s of US Federal spending data with a few lines of Python code. Uncover competitive insights from information and analytics.

Previous Blog Post in this series: #6 USAspending.gov Analytics — Exploring Top Executive Compensation…


Gaining an Analytics Edge Using Federal Spending Open Data Series

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

TL;DR — Analyze GB’s of US Federal spending data with a few lines of Python code. Uncover competitive insights from information and analytics.

Introduction

In this post in my series on extracting analytical insights from USAspending.gov, I will show you how to explore a lesser-known source of analytical insights in the open data source — executive compensation information. …


Gaining an Analytics Edge Using Federal Spending Open Data Series

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

TL;DR — Analyze GB’s of US Federal spending data with a few lines of Python code

Introduction

For this fifth blog in the series, I will show you some examples of the information now at your fingertips and preview some analytics. …


Gaining an Analytics Edge Using Federal Spending Open Data Series

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

TL;DR — Analyze GB’s of US Federal spending data with a few lines of Python code

Introduction

For this fourth blog in my series, I will show you ways to process the 10’s of GB of USAspending.gov data you downloaded on your computer (or even a cluster of computers on your local network or in the cloud) in the previous blog (#3). …


Gaining an Analytics Edge Using Federal Spending Open Data Series

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

In my previous post in this series (#2 Automating the Information Gathering Process), I showed you how to download data using the USAspending.gov …


Blog #2 Automating the Information Gathering Process

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

The following Python code automates the manual steps described in my first Medium.com post on this topic found here.

Open this link to start.

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The code below can be found in this FREE Google Colab notebook where you can save a copy into your Google Drive and open the notebook and execute this code on your own. …


Blog #1 Getting Started…

Premise of this Blog Series: Publicly available “open data” sources and open-source technology analytics can provide information to reduce uncertainty when making critical business investment decisions.

Purpose: Demonstrate to executives how easy it is to access and analyze free, open-data sources and motivate them to expect more insight and context from their team when making crucial go/no-go investment decisions on bids and new offerings.

Scope: US Federal Contracting Market.

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Introduction

Deciding whether to commit key talent, time, and money to a new business opportunity is one of the most energizing and challenging decisions that any general manager (profit center manager) must make. …

About

Leif Ulstrup

Strategy, emerging technology, innovation, and management advisor https://www.primehookllc.com/about-us.html, https://www.american.edu/kogod/faculty/ulstrup.cfm

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