Interesting FactsSome interesting facts about Science, some about D|ONE and some "Interesting, but useless information" (IBUI).

Number Category
9411

Distance in kilometers between both D|ONE offices, San Mateo and Zurich.

D|ONE

42

This number comes up in many discussions among certain professional circles (e.g., programmers). We are not sure why but we have our best analysts working to find out ;-)

Trivia

520

If you re-arrange things just a little bit, fate may change a lot: Swapping 2 and 5 (see 250) means a significant upgrade: In Mandarin Chinese the number 520 means, "I love you". To make an extra you may also say "520 1314": I love you forever... "13" meaning "this life", "14" meaning "until death" (or "until next life? according to religious preferences).

Trivia

10

Number of clients representing 80% of D|ONE revenues.

D|ONE

41444351010

Dial this number if you have a need for Data Insight.

D|ONE

111'111'111

First number, consisting only of digits 1, which, squared, does not produce a symmetrical result like 11x11 does.

Interesting but useless info (IBUI)

19

The G-20 is made up of the finance ministers and central bank governors of 19 countries. www.g20.org

Trivia

1193, 1931, 3119, 9311

First 4 digits Circular Prime Numbers.

Scientific

4

Number of Poker Events per year organized by D|ONE.

D|ONE

3

Number of eyes of the Tuatara lizard (lives in in New Zealand).

Interesting but useless info (IBUI)

2005

Year when D|ONE was established.

D|ONE

0.000154

Probability to get a royal flush in Texas hold 'em Poker.

Trivia

1729

Besides being the Hardy-Ramanujan number, 1729 is also a sphenic number because it is the product of three different primes (7*13*19).

Scientific

4

The great pyramids in Egypt have moved 4 kilometers with the earth's crust since they were built.

Trivia

30

30% Probability that the leading digit in many lists of numbers starts with digit 1 (12.5% that it starts with 3). Called Benford's Law. Detected because some pages in logarithm tables looked used more than others. Used in forensic accounting, specifically in fraud detection.

Scientific

4

Four colors are needed to color a map so that no two adjacent regions get the same color (four-color theorem).

Scientific

250

In Mandarin the number 250 (Er Bai Wu) means "moron". Nobody would accept a price or a salary at 250. Explanations about the origin of this expression differ, but a good interpretation seems "on a scale of 1000 you are 250".

Trivia

36y 130d 3h

Average age of D|ONE team members.

D|ONE

4

Four half-moves are needed for the fastest possible checkmate (known as the Fool's mate).

Trivia

4444

Pragmatic as the Chinese are, if you take the the "4" (see 4) issue head-on you may turn it into a blessing: 4 times 4 i.e. 4444 means: may you be 4 times lucky in all four seasons.

Trivia

9'721'368

The largest decimal number where you can eliminate any digit, and the number formed by the remaining digits are divisible by the eliminated digit.

Interesting but useless info (IBUI)

1729

The Hardy-Ramanujan number. The British mathematician G. H. Hardy told this story about the Indian mathematician Srinivasa Ramanujan: "I remember once going to see him when he was ill at Putney. I had ridden in taxi cab number 1729 and remarked that the number seemed to me rather a dull one, and that I hoped it was not an unfavorable omen. "No," he replied, "it is a very interesting number; it is the smallest number expressible as the sum of two cubes in two different ways." This anecdote gave this number its name.


    9^3 + 10^3 = 1729
    1^3 + 12^3 = 1729

Scientific

4

Number 4 is considered an unlucky number in Chinese, Korean, and Japanese cultures because it is nearly homophonous to the word "death". In order not to take unnecessary risks, in most hotels in Hong Kong or Mainland China there is no fourth floor to choose in elevators (caring also about superstitious Westerners, the 13th floor is usually skipped as well).

Trivia

0

Number of uninteresting natural numbers: If there were uninteresting numbers, there would be a smallest uninteresting number - but the smallest uninteresting number is itself interesting by being so, producing a contradiction.

Trivia

0.89

Schwarzschild radius of the earth. Compacted to 0.89 cm, the earth will become a black hole.

Interesting but useless info (IBUI)

16005

amount of revenue in $ Microsoft made in its first year (D|ONE: 114'000 CHF)

D|ONE

55

55% of human DNA is also found in bananas.

Trivia

626

Number of compositions by Mozart listed in the Köchel catalogue.

Trivia

8.1

Days per employee per year invested in training.

D|ONE

1729

On top of being the famous Hardy-Ramanujan number, and being a sphenic number, 1729 is also the third Carmichael number, after 561 and 1105. A Carmichael number is an integer n where bn-1 = 1 (mod n) for all b that are prime relative to n. All prime numbers have the Carmichael property.

Scientific

7

Number of different countries of origin for D|ONE team members.

D|ONE

142857

This number rotates itself:

  142857 X 1 = 142857

  142857 X 2 = 285714

  142857 X 3 = 428571

  142857 X 4 = 571428

  142857 X 5 = 714285

  142857 X 6 = 857142

 

 

Scientific

313

Car number plate of Donald Duck.

Trivia

«We offer extraordinary career perspectives for talented people. This is part of our culture and probably one of our most important strengths.»

Dr. Simon Hefti, Chairman

Selected Analytics Cases

Data understanding often starts with the «known knowns» and aims to fill the gaps related to «known unknowns». Yet the identification and analysis of «unknown unknowns» or blind spots promises the highest potential, be it with respect to the bottom line (efficiency) or top line (revenue growth). The following sections describe typical data analytics approaches which have helped our customers to tap into this potential.

Descriptive Data Analytics

When to use?

Do you know the characteristics of your most valuable customers? Do you know the penetration ratio of your products across the different customer segments? Do you know which acquisition channels bring the most loyal customers?

If these questions are important to you and if your answer is 'No', then you should consider descriptive data analysis.

How does it work?

In Descriptive Data Analytics, the visual representation of the data is key. The basic principle is simple and straightforward: working on your data, we sort them into relevant groups, arrange them in a comparable way, possibly add benchmark data, and present them visually.

Time to Insight?

It is a frequent misconception that predictive analytics can only be done after heavy investment, first in a BI machinery, and then in an analytics system. Typically, we find relevant answers to questions like the ones above within 5 days or less.

Uplift Modeling

When to use?

Do your campaigns fail to meet the desired response rates? Do you reach your limits given your available campaign budget? Do your retention activities increase customer attrition? Do you have the impression that you are contacting customers that would buy anyway?

If these questions are important to you and if your answer is "Yes", then you should consider uplift modeling.

How does it work?

Again, the approach is straightforward: by analyzing past campaigns and predicting the customer's behaviour, we filter out «Lost Causes» and the «Do not disturbs» and target the «Persuadables».

Time to Insight?

As above, relevant insight can be gained quickly. Typically, we analyze previous campaigns and implement the initial uplift model and evaluate its impact based on existing campaigns within 5 days.

Survival Analysis

When to use?

Which are the customer segments that are the least loyal to your business? What is the probability a certain customer will leave your business after x months? What is the lifetime value of your customers? Which acquisition channel is the least valuable? What are the impacts of two different attrition factors on a customer segment?

If these questions are important to you and you don't have the answers, then you should consider Survival Analysis.

How does it work?

The question to answer is: what fraction of your current customer base will still be part of your customer base past a certain time? The approach is to define the lifetime in your business context and to calculate known lifetimes from your data. This allows us to extract hazard probabilities and survival rates, which we use to estimate lifetimes for your active customers.

Time to Insight?

As above, relevant insight can be gained quickly. Typically, within 5 days we do provide an overview of customers' behaviour and quantified and actionable results.

Customer Lifetime Value

When to use?

What is the lifetime value of your customers? Which of your customers have the highest potential for generating additional profits in the future? Which customers are likely to contribute little value by leaving only after a couple of years? Is it worth trying to retain those customers?

If these questions are important to you and you don't have the answers, then you should consider implementing Customer Lifetime Value.

CLV calculation is fundamental for managing and growing customer value across the entire lifecycle, from deciding whether acquisition/marketing costs are justified by the potential gain, to selecting customers to target with loyalty rewards programs or other development measures, to identifying which at-risk clients should be retained.

How does it work?

The approach is to first determine for each present client his/her current profitability. We then model the expected future value of each client probabilistically using historical data covering all aspects of the customer relationship. This allows us to quantify the lifetime value of each client.

Time to Insight?

Insights can be also gained quickly in this case. Within two days we can review your requirements and propose implementation methodology and within two weeks we can produce proof-of-concept prototype.