nsuchaud – insights that matters

Key financial metrics for tech growth

Voici quelques formules à connaître , en anglais pour coller au tableau ci-apres :

Spécial bourse

EPS = Earnings per Share (EPS)
Net Profit / Total Shares Outstanding

PE = Price-to-Earnings ( PER en France) :
Price per Share / EPS

ROI = Return on Investment : Net Profit / Total Investment

ROE = Return on Equity :
Net Profit / Shareholders Equity

ROA = Return on Assets :
Net Profit / Total Assets

Spécial startups

MRR = Monthly Reccuring Revenues :
Operating MRR + new MRR – Churn MRR + Expansion MRR – Contraction MRR

ARR = Annually Recurring Revenues

CH = Churn : lost MRR / Opening MRR

ARPU = Total revenues / number of clients

CLV = Customer lifetime value : average monthly revenue* average month’s active

CB = Cash Burn : Cash from Operating Activities + Cash from Investing Activities

NPS = Net Promoter Score :
% Promoters – % Detractors

Les incontournables

OCF = Operating Cash Flow = Net Income + Other Non-Cash Items – Changes in Working Capital

FCF = Free Cash Flow : Operating Cash Flow – Capital Expenditures

CCC : Cash Conversion Cycle : Days of Inventory Outstanding + Days of Sales
Outstanding – Days of Payables Outstanding

NCF = Net Cash Flow : Operating Cash Flow + Investing Cash Flow + Financing Cash Fl.

DCF= Discounted Cash Flow :CF17 (1+5)1 + CF2 (1+52 + ….. + CEn / (1+r)n, where CF
is cash flow, r is the discount rate, and n is the number of periods.

FV = Future Value : CF x (1+r)^t, where CF is cash flow, r is the interest rate, and t is the number of periods.

PP = Payback Period :
Initial Investment / Annual Cash Flow

CR = Cash Ratio 🙁 Cash + Marketable Securities) / Current Liabilities

GP = Gross Profit : Total Revenue – Cost of Goods Sold (COGS)

EBITDA = Earnings Before Interest Taxes Depreci. & Amort: Net Income + Int Expense – Int Income + Taxes + Depr + Amort

GPM = Gross Profit Margin : Gross Profit / Revenue

NOI= Net Other Income:
Other Income – Other Expense

OM = Operating Margin :
Operating Income / Revenue

ROCE = Return on Capital Employed
Operating Profit / Capital Employed

Beaucoup d’autres ratios & définitions dans le tableau de synthèse ci-dessous, que j’ai emprunté à Josh Aharonoff, CPA (US)

Le VRM de plus en plus proche du social CRM

A l’occasion de l’arrivée de l’été et d’un court instant de pause, je vous propose de creuser un sujet qui est encore peu vu sur le web et peu exploité par les entreprises.

Après plusieurs échanges avec des spécialistes des datas, une réflexion sur le sujet que j’ai abordé avec eux est une nouvelle vision de la relation client. La restauration de la confiance et de la fidélité devenant un des enjeux majeurs des marques et des entreprises. Face à ça le respect des individus et de leur données devenant un point crucial, une nouvelle approche a été développé depuis plusieurs années. Cette approche formalisé en 2006 par le chercheur Américain Doc Searls proposait le concept de VRM (Vendor relationship Management) un concept à mi-chemin entre la relation client, et l’usage des données personnels.

CRM - VRM -  Experience

Continue with reading

Datatainment to serve TV channels

datateinment

Very interesting contribution that I made alongside researcher of the Orange labs about Entertainment, Social TV and Big Data opportunity.

Innovation is always unexpected. Most often, it stems from an expected point of origin. Let us consider television for example: social interaction is one of its main features since its creation, more than fifty years ago. This screen was conceived as an entertainment device but also as something that would gather up people in a single room for a friendly interaction moment.

However, the evolution of the digital environment over the last few years was a complete game-changer. Thanks to newly developed tools and devices, such as smartphones, we acquire new senses. These senses allow us to multiply ourselves in time and space. This is how the concept of the Augmented Man was born. In just a few years, these augmented men have moved from a society of information to a society of recommendation. These technological and social transformations could very well alter the entire ecosystem.

More about here