Predictive modeling – an interview with Datarella CEO Joerg Blumtritt

Most of the time, we at Datarella deal with the very near future: what will be the most likely thing that individuals want or what they are up to next? We use mathematical models to predict human behavior. But not only human behavior is what Datarella is interested in. Research papers, internal customer data and external data are being used by Datarella to predict probabilities of success of specific products. We detecs patterns, weaknesses and events in behavior and product design and – together with our customers – we define workarounds, optimizations or completely new data-driven products.

Read More →

Telling the story of people’s lives – Strata+Hadoop, Feb 15, San Jose

We can draw a colorful picture of people’s everyday lives from the data we collect via smartphones. To tell the data-story, we need to translate the raw measurements into meaningful events, like “driving a car”, “strolling in a mall”, or even more intimate, like “being nervous”. We will show how to access the phone’s data, how to derive complex events from the phone’s raw data, and how to bring it into a meaningful story, and how to make it work for businesses. Cases we’ll show: an app for the automotive industry to support ecological driving, learning about preferences of Chinese passengers at an international airport, and supporting people suffering from osteoporosis to stabelize their condition and maintain mobility. More on Strata+Hadoop  

Read More →
Wearable Data Hack Munich 2015

Wearable Data Hack Munich 2015

Today, we would like to announce something special. Something we can’t wait to take place and until mid June it’s going to be tough to sit tight. Please, feel invited to our Wearable Data Hack Munich 2015! The Wearable Data Hack Munich 2015 is the first hack day on wearable tech applications and data. It will take place right after the launch of Apple Watch – the gadget we expect to rise the tide for all wearables. Withe the Wearable Data Hack Munich 2105, we aim to kick-off app development for the emerging smartwatch and wearable tech market. During this weekend you will have the first occasion to share your views and ideas and jointly gather experience with the new data realm. Apple calls the Apple Watch “Our most personal device ever”. And with good cause: The data from wearable tech, smartphones and smartwatches are really the most personal data ever. Our mobile devices accompany every step we take, every move we make. A plentitude of sensors on the devices draw a multidimensional picture of our daily lives. Applications of wearable data range from fitness to retail, from automotive to health. There is hardly an industry that cannot make direct […]

Read More →
The Datarella World Map Of Behavior

The Datarella World Map Of Behavior

Every smartphone user produces more than 20 MB of data collected by her phone’s sensors per day. Now, imagine the sensor data of 2 billion smartphone users worldwide, translated into realtime human behavior, shown on a global map. That is the vision of the Datarella World Map of Behavior. A typical 2015 generation smartphone sports up to 25 sensors, measuring activities as diverse as movements, noise, light, or magnetic flux. Most smartphone users aren’t even aware of the fact that their phone’s camera or microphone never are really „off“ but that they constantly collect data about the noise level or the intensity of light the user is experiencing. Actions speak louder than words Actions speak louder than words – if we want to really know a person we have to know how she behaves, and not only what she says. And that’s not only true for politicians. We all form our opinions on others by looking at their actions, more than their words. Many inter-personal problems result from NOT looking at people’s actions, but focusing on other aspects, such as their looks or their words. Behind superficial distinctions such as physical appearances, over time we often realize similarities with other […]

Read More →
„Analyze Smartphone Sensor Data with R“ – Blog post in reply to our „Call for Data Fiction“

„Analyze Smartphone Sensor Data with R“ – Blog post in reply to our „Call for Data Fiction“

As reply to our „Call for Data Fiction“, Benedikt Koehler has applied the BreakoutDetection packege for R on our sample data set. Here you see his findings with the code: http://beautifuldata.net

Read More →
Access Smartphone Data With our new API

Access Smartphone Data With our new API

Datarella now provides an API for our app ‚explore‘, that allows every user to access the data collected and stored by the app. An Application Programming Interface, in short API, is an interface for accessing software or databases externally. Web-APIs giving us access via the internet, have become the principle condition for most businesses in the web. Whenever we pay something online with our credit card, the shop system accesses our account via the API of the card issuing company. Ebay, Amazon, PayPal -they all provide us with their APIs to automatize their whole functionality to be included in our own website’s services. Most social networks offer APIs, too. Through these we can post automatic messages, analyze data about usage and reach, or control ad campaigns. The ‚explore‘ app was developed by Datarella to access the smartphones internal sensors (or probes), and to store the data. It is however not just about standard data like location, widely known because of Google Maps. ‚explore‘ reads all movements in three dimensions via the gyroscope, accelleration, magnetic fields in the environment. Mobile network providers and Wifis in reception are also tracked. From these data we can learn many interesting things about ourself, our […]

Read More →
Sharing Goods And Sharing Data: Both Is Fun, Big Business And A Social Responsibility

Sharing Goods And Sharing Data: Both Is Fun, Big Business And A Social Responsibility

Around 2010, Lisa Gansky coined the term Sharing Economy, or Mesh companies, offering their customers efficient shared access to their products instead of selling their products to them. Recently, it’s being called Collaborative Consumption or Collaborative Economy. It’s all about finding ways to make better use of valuable resources that have remained unused. Convenient access is being made affordable to people who can’t afford different products, or simply don’t need to own those products since they would only use them infrequently. Typical mesh businesses like AirBnB, LendingClub or Cookening, demonstrate the power of sharing in very different ways: AirBnB is on the way to pass Hilton as the world’s largest hotelier in 2015, that is 7 years after its inception. The US peer-to-peer lending company Lending Club has originated over 4 billion USD in loans – it was originally founded as a Facebook app in 2006. The typical Mesh business runs a stylish app with a high usability. It’s service is new, easy to use and affordable. But all that does not fully explain the tremendous speed they conquer one market after the other. Who is the driver behind the Sharing Economy and it’s success? It’s the user. It’s the […]

Read More →
A Bit of Data Science – What Your Battery Status Tells About You

A Bit of Data Science – What Your Battery Status Tells About You

Working with lots of data, the biggest challenge is not to store or handle this data – these jobs are far from being trivial, but there are solutions for nearly any kind of problem in this space. The real work with data starts when you ask yourself: what’s behind the data? How could you interpret this data? What story can you tell with this data? That’s what we do and we want to share some of our findings with you and motivate you to join our discussion about the meaning of the data . We want to create Data Fiction. Today, we start with some sensor data collected by our explore app – the smartphone’s battery status including the loading process. Below you see sample data for our user’s behavior during the week (Feature Visual) and at the weekend (Figure 1). Figure 2: Smartphone Battery Status (weekend) (Datarella) In Figure 1 you see that most users load their smartphones around 7 a.m. and (again) around 5 p.m. What does that tell us? First, we know when most users wake up in the morning – around 7 a.m.. Most probably they have used their smartphones‘ alarm functions and then connect their devices to the power […]

Read More →
Call for Data Fiction

Call for Data Fiction

DATA FICTION – THE STORIES BEHIND THE DATA Do you read science fiction? Can you make data interesting? Can you tell the story behind a pool of data? Are you a data fictionista? Submit your data fiction. People, animals, plants and things produce data – a lot of data. The data itself is the basic resource – like words are the basis for language. If you put words together to sentences and you combine sentences to chapters and aggregate several chapters – you write a story, you create fiction. Same with data: if you combine different data sources to data pools and aggregate them – you write the story behind the data, you create data fiction. [Strong narrative] augments the available data by way of context, and extends the patience of the audience by sustaining their interest as well. Does that sound like you? We’d love to see and discuss your applications, analyses, case studies and models with you and help you make your data fiction become reality. DATA, APP & COMPLEX EVENT PROCESSING ENGINE The Data We will provide you with sample data resulting from the usage of our explore app. The App The data has been created by […]

Read More →