External Data acquisition

External Data acquisition

Finding the right data is the key to your success.

Finding the right data is the key to your success.

External data might often be the missing part to see the full picture about your customers or processes. Information such as demographics, moving patterns or lifestyle of customers can me obtained through external data.

Having established that External Data is important, it is vital to point out how difficult and time intensive it is to obtain the right kind of data today. In fact, a recent a scientific study found, that experienced data scientist’s judgments on the relevancy of a given data source is roughly as accurate as a coin-toss!

Given, that data first needs to be obtained and pre-processed before its value is quantifiable, misjudgements on what external data to acquire can be very costly.

  Industry-Standard Approach PeakData Approach
Number of potential data sources Few* Many*
Quality of ideas for Data Sources Equal share of relevant and irrelevant sources* More relevant sources*
Acquisition cost Normal* Half*

You can decide to use any module of our methodology, or all of them sequentially. We bill by the time (and wages paid) to the crowd workers delivering your results in each step. Since you see the intermediate results (and the current cost), you can decide to end the process at any time.

Data Scientist for hire

Data Scientist for hire

Highly skilled reinforcements for your Data Science team billed by the week

Highly skilled reinforcements for your Data Science team billed by the week

If you quickly need to scale up your capacity, you can hire our data scientists on a weekly basis. Our team has versatile education and hands on experience to support various data-driven initiatives.

autorenew

Agility

We thrive in environments with short feedback cycles and agile teams. This way, we integrate well with your existing team and IT / DevOps landscape and will contribute to your Data Science products with a little warm-up time.

build

Technologies

We use state of the art technologies to deliver cutting edge data products. We are especially proficient in Amazon AWS Big Data technologies such as Kinesis, Redshift and EMR as well as other tools frequently used in data science projects such as Spark, MapReduce and Kafka

battery_full

Motivation

We are a young and motivated company, who believes in honest collaboration with clients. We believe that it is crucial to communicate the risks and opportunities involved in the project, such that the client can make educated decisions on how to move forward.

Data Science Workshops

Data Science Workshops

Ensure the growth of your Data Scientists

Ensure the growth of your Data Scientists

The target audience of our workshops are intermediate Data Scientist who would like to deepen their understanding in one of the topics below.

For managers who are interested to explore how they could leverage the internal data of their enterprise to generate value, we offer free strategy workshops. Learn more

Practical Statistics

An introduction to Statistics for Data Scientist who received the basic training at their higher education.

Topics include: Null-Hypothesis Testing (and why it isn't always the best option), Bayesian Statistics and Regressions.

  • Theory: 1-3 days, depending on your education goals
  • Practice (Optional): 1 day
Big Data processing with Amazon AWS

Learn how to run your code in the cloud, what services exist, how to scale up, and how to store/distribute results safely

  • Theory: 0.5 day
  • Practice (Optional): 0.5-1.5 days, depending on your education goals

Workshops can be conducted on your premises or on ours. The target audience is people with technical backgrounds. To allow for an interactive learning experience, we recommend splitting groups larger than 10 people into multiple workshops.

CHF 2000 per workshop-day.

If the workshop is conducted at your premises, we bill commuting at 150 CHF/hr from Zug starting from the second hour (the first hour is free). There is no surcharge for workshops conducted in our Zurich office (Next to the train station in Schlieren).

Note: Michael teaches an extended version of the Practical Statistics course at the University of Zurich for PhD students. Therefore, PhD students at ETH or UZH can enroll for free on the Vorlesungsverzeichnis

Data Science Coaching

Data Science Coaching

Get a sparring-partner for your Data Scientists

Get a sparring-partner for your Data Scientists

Sometimes, all you need is access to an expert to conduct your analysis. Someone who can help you when you’re stuck, who can help you decide what statistical method to use, what Software to apply or how to nest and optimize your models for a given task.

We have been in such situation ourselves and appreciated the help of our peers. Therefore, we offer a flexible support model, where you can reach out to us with questions or ask us for advise.

For architectural questions, or when project managers are at a cross-roads, we can support you with extensive research on the potential alternatives as well as further suggestions extending them. The format of such discussions is up to you; whether you'd like informal phone calls, reports or presentations; we can help.

Talk to us to reach a framework agreement that allows your team to reach out to us with questions and let us be your sparring partner.