Reference - Blog https://blog.jamesglassey.com James Glassey's Blog Mon, 04 Jul 2022 18:52:26 +0000 en-GB hourly 1 https://wordpress.org/?v=6.5.3 https://i0.wp.com/blog.jamesglassey.com/wp-content/uploads/2022/03/cropped-IMG_3184-2-1.jpg?fit=32%2C32&ssl=1 Reference - Blog https://blog.jamesglassey.com 32 32 209629685 Metrics That I Need to Know About https://blog.jamesglassey.com/metrics-that-i-need-to-know-about/ https://blog.jamesglassey.com/metrics-that-i-need-to-know-about/#respond Mon, 04 Jul 2022 18:52:24 +0000 https://blog.jamesglassey.com/?p=156 This document has metrics that I think will be important to know about. I will add tooltips and blog posts to the metrics when I have a project that requires that I need to have a deeper understanding of them.… Continue Reading →

The post Metrics That I Need to Know About appeared first on Blog.]]> This document has metrics that I think will be important to know about. I will add tooltips and blog posts to the metrics when I have a project that requires that I need to have a deeper understanding of them.

Contents

To Measure Financial Performance

  • Net Profit
  • Net Profit Margin
  • Gross Profit Margin
  • Operating Profit Margin
  • EBITDA
  • Revenue Growth Rate
  • Total Shareholder Return (TSR)
  • Economic Value Added (EVA)
  • Return on Investment (ROI)
  • Return on Capital Employed (ROCE)
  • Return on Assets (ROA)
  • Return on Equity (ROE)
  • Debt-to-Equity (D/E) Ratio
  • Cash Conversion Cycle (CCC)
  • Working Capital Ratio
  • Operating Expense Ratio (OER)
  • CAPEX to Sales Ratio
  • Price Earnings Ratio (P/E Ratio)
  • Accounting Rate of Return (ARR)

Metrics to Understand Customers and users

  • Net Promoter Score (NPS)
  • Customer Retention Rate
  • Customer Satisfaction Index
  • Customer Profitability Score
  • Customer Lifetime Value (LTV)
  • Customer Turnover Rate (Churn)
  • Customer Engagement
  • Customer Complaints
  • Active users

Metrics to Gauge Market and Marketing Efforts

  • Market Growth Rate
  • Market Share
  • Brand Equity
  • Cost per Lead
  • Conversion Rate
  • Search Engine Rankings (by keyword) and click-through rate
  • Page Views and Bounce Rate
  • Customer Online Engagement Level
  • Online Share of Voice (OSOV)
  • Social Networking Footprint
  • Klout Score
  • Social Engagement

Metrics to Measure Operational Performance

  • Six Sigma Level
  • Capacity Utilisation Rate (CUR)
  • Process Waste Level
  • Order Fulfilment Cycle Time
  • Delivery In Full, On Time (DIFOT) Rate
  • Inventory Shrinkage Rate (ISR)
  • Project Schedule Variance (PSV)
  • Project Cost Variance (PCV)
  • Earned Value (EV) Metric
  • Innovation Pipeline Strength (IPS)
  • Return on Innovation Investment (ROI2)
  • Time to Market
  • First Pass Yield (FPY)
  • Rework Level
  • Quality Index
  • Overall Equipment Effectiveness (OEE)
  • Process or Machine Downtime Level
  • First Contact Resolution (FCR)

Metrics to Understand Employees and Their Performance

  • Human Capital Value Added (HCVA)
  • Revenue Per Employee
  • Employee Satisfaction Index
  • Employee Engagement Level
  • Staff Advocacy Score
  • Employee Churn Rate
  • Average Employee Tenure
  • Absenteeism Bradford Factor
  • 360-Degree Feedback Score
  • Salary Competitiveness Ratio (SCR)
  • Time to Hire
  • Training Return on Investment

Metrics to Measure Your Environmental and Social Sustainability Performance

  • Carbon Footprint
  • Water Footprint
  • Energy Consumption
  • Saving Levels Due to Conservation and Improvement Efforts
  • Supply Chain Miles
  • Waste Reduction Rate
  • Waste Recycling Rate
  • Product Recycling Rate
  • ESG Score

References:

  • The inspiration and the information to have a list of metrics came from Bernard Marr.
The post Metrics That I Need to Know About appeared first on Blog.]]> https://blog.jamesglassey.com/metrics-that-i-need-to-know-about/feed/ 0 156 Data Project Aims https://blog.jamesglassey.com/data-project-aims/ Wed, 06 Apr 2022 19:15:49 +0000 https://blog.jamesglassey.com/?p=69 The Intended qualities of a data science project Continue Reading →

The post Data Project Aims appeared first on Blog.]]> [Ongoing List]

Checklist

  • Intended quality of Code
    • Reproducible
    • Generic and Reusable (Can be used with other data inputs)
    • Extendable
    • Modularised
    • Tested Code
    • Version Control (Git and Github)
  • Documentation
    • Project Scope
    • Iterative nature to project
    • Explanation for choices
    • Assumptions of models used
The post Data Project Aims appeared first on Blog.]]> 69 Useful Resources And Figures For Me https://blog.jamesglassey.com/useful-resources/ Thu, 31 Mar 2022 08:10:07 +0000 https://blog.jamesglassey.com/?p=74 References to external resources that I have found useful with the occasional link. Continue Reading →

The post Useful Resources And Figures For Me appeared first on Blog.]]> [An Ongoing list]

Computing:

Coding References:

Computing References

Markdown references:

Design

Compress Image files

Communication

Writing style guide:

  • The Economist Style guide, 12th edition

Organisation

Task tracking management

Time tracking

Figures

General

  • Lex Fridman

Data Science

  • Eric Weber
  • Cassie Kozyrkov
The post Useful Resources And Figures For Me appeared first on Blog.]]> 74 Scientific Notation https://blog.jamesglassey.com/scientific-notation/ Thu, 17 Mar 2022 18:06:01 +0000 https://blog.jamesglassey.com/?p=30 A summary of how to represent very large or small numbers. Continue Reading →

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PrefixesSymbolScientific NotationE notation
*		Order of Magnitude
0.000000000001picopx10-121E-12-12
0.000000001nano–nx10-91E-9-9
0.000001micro–µx10-61E-6-6
0.001milli–mx10-31E-3-3
0.01centi–cx10-21E-2-2
0.1deci–dx10-11E-1-1
1—————-—————-—————-—————-—————-
10deka– dax1011E11
100hecto–hx1021E22
1’000kilo–kx1031E33
1’000’000mega–Mx1061E66
100’000’000giga–Gx1091E99
1’000’000’000’000tera–Tx10121E1212
1’000’000’000’000’000peta–Px10151E1515
* The ‘E’ in E notation does not represent the exponential or the constant ‘e’; it is a placeholder for ‘times 10 to the power of…’. To avoid possible confusion, ‘E’ is uppercased.

Further Information

  • For E notation, it is common to see numerical representations, for example, 2.34000E+3, this is the equlivalent to 2.34×103

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