What you can expect from Datarella in 2016

We always take a little time in the very first days of a year to define Datarella’s main goals for this year. This time it was a pleasant task since 2015 went very well for Datarella: we achieved most of our goals and we could start without any legacy issues.

So, what to expect from Datarella in 2016? Beside our growing consulting business with fascinating projects and clients, we will focus on our product Data Trust and our project Data Coach.  Due to our tight schedule in 2015, we haven’t published much about Data Trust and Data Coach, yet.  I’d like to give a brief overview on both in this post.

Data Trust
Generally speaking, Data Trust is a secure data market model for Big Data projects. Sharing data between businesses makes much sense: Both, data processing and analytics scale with the data, and development, quality assurance, as well as support become very efficient. The problem: Many businesses are hesitant to share their data with partners for security reasons, to maintain their competitive advantage, and also obligatory compliance aspects regarding data protection.

Data Trust solves this deadlock: With it we provide a secure sharing solution for corporations. Datarella organizes each client’s original data in separate data buckets.

Data Trust enables businesses to put their data to work together with the data of their business partners with guaranteed data security and control. Without giving away their data, they can now profit from analytics, results, and predictions that are based on the joint data within their network of partners. Thus, Data Trust is a market model – it provides each participant of a market with unparalleled insights into the market.

Datarella Prediction Engine

The Datarella Prediction Engine runs on top of the separated data buckets. The Datarella Prediction Engine has been designed for gathering precise statements regarding future business success in the areas of media & advertising, eCommerce, finance, mobility and health.  Together with the Datarella Prediction Engine, Data Triust provides an absolutely trustful environment for clients to manage and analyze their company’s data.

Of course, the Datarella Data Trust can be audited.

Data Coach
Whereas Data Trust already is a product and is already creating value for our clients, Data Coach is still in an experimental phase. The user interface of Data Coach is an app that provides the user with body activity and environmental data.  The user shares this data with a closed professional graph and receives actionable insights into her health condition, behavior, training, etc. as feedback. Based in this feedback the user can react by changing her behavior.

The core of Data Coach is a blockchain environment that provides three essential elements of a professional network:

  1. Data Security
  2. Data Provenance
  3. Peer-to-Peer Architecture

Cryptographic hash functions and completely historicized data chains make data sharing absolutely secure. The user completely owns her data. And she always knows her data’s whereabouts and defines whi can use it, how and when.

An essential part of our Data Coach project is our partner Ethereum, that provides a decentralized blockchain platform we build Data Coach on.

We are running very early tests of Data Coach in the area of sports and entertainment. We are active,y looking for partners to establish a pilot project in the health sector. So, if you think Data Coach could add value to your business and customers or patients, please don’t hesitate to contact me.

If it’s smart, you can wear it!

It started with the first smart clothes in 2006, motivated luxury brands like TAG Heuer of LVMH to add some smartness to their watches and even lets farmers recognize patterns in dairy cow movements: wearables have become mainstream.

At our Wearable Data Hack this June, we partnered with Wearable Technologies, a Munich based company specialized in marketing wearables. One part of our hackathon’s prizes were tickets to the 2016 Wearable Technologies Conference, taking place in Munich, January 26-27. Looking at the impressive lineup of speakers at the conference, we’re sure that our winners will learn a lot about the near future of wearables!

If you also want to attend the conference, you might want to use this special link and our friends&family code Datarella_Friends for receiving a 15% discount. 

See you at the Wearable Technologies Conference 2016 in Munich!

Know And Speak To Your Customer Through The IoT

Equipped with sensors and microchips, ever more of objects can communicate, with each other and with human beings – the Internet of Things and Humans is born. Even washing powder is set to become smart through attached sensors on its packaging that detects when the product is being used, and that communicates with readers like smartphones when scanned. From today’s 5 billion to 21 billion by 2020, the number of wirelessly connected things will increase. 

Who will profit from the Internet of Things – or IoT – most?
Let’s look at the obvious applications, first: Stock-keeping and supply-chain management processes will have implemented technologies making objects communicating with each other, thus enabling businesses to follow the progress of their products from factories to shops to end-consumers. Espresso beans will tell baristas about the best temperature to keep them in stock. Batteries will inform their owners when reaching the last phase of their power-providing lives.
From our perspective, however, the biggest potential lies in customer relations. Brands are realizing that the best way to sell their products is to build personal relations with customers rather than to spend lavishly on marketing. Until today, many brands come only second behind retailers with regards to communication to their customers. Often, it’s the retailer who knows the customers‘ preferences best, and who is able to retain them through loyalty schemes. Ask yourself: where do you buy your stuff? Online retailers are the ones understanding their customers best, often they have the complete customer journey available.

Speak to your customer
Now it becomes cheaper to add sensors and microchips to products, and to connect them to the internet. The direct result of the IoT is a huge influx of customer or end-user data. Whereas nobody at manufacturers and brands had to – or better: was able to – gather data of actual customer behavior so far, there now arrives Big Data describing everything these companies have ever wanted to know. In theory, this data will help them develop their products and services more rapidly, fix any bugs more quickly and tailor products better to their end-users‘ needs.

In practice, the gigantic flood of data may imply significant structural changes for manufacturers: is the IT infrastructure set to cope with Big Data? Is the IT personnel eqipped with the necessary knowledge amd experience to handle data sampling and dara storage correctly? Are there adequate in-house resources to munge and analyze the data? And, after all, will anybody visualize and instrumentalize the data in a meaningful way? Sure, there already are best practices regarding individual steps of this Big Data process. And for each part of the process, there are tools that can be used a software-as-a-service. But it`s a long way from data sampling to a smoothly managed customer relation through objects.

A new era of competition
Managing and optimizing the company’s own customer relations through the IoT is just one part of the equation: when retailers start a direct communication with their end-users, retailers won’t passively stand on the sidelines. They will fight back trying to defend their position of being „first-to-the-customer‘. And on the operative level, retailers have a big advantage: they have always been the ones with a direct contact to the customer. They know their customers (or at least they should). Everybody who switched from working in a company without direct contact to the customer to an end-user shop has experienced a cultural clash: you won’t imagine the expectations of a typical end-user – i.e. ourselves. Let alone all additional privacy and cyber-security issues.

That said, the IoT offers manufacturers the biggest opportunity since the industrialization. They can understand and learn from their customers. They can even partner with them. But first they have to do their homework and provide all the needed resources in IT infrastructure, processes, and human resources.

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.

Breaking Bad Habits with Self-Tracking

For the forth time, the Quantified Self Conference took place in Amsterdam. Quantified Self is a way to get „self knowledge through numbers“ as the two founders Kevin Kelly and Gerry Wolf put it, learning about one’s life by measuring various aspects of our bodily funcions, our actions, habits, and environment. With all kinds of tracking devices from simple step counters to complex sleep monitors, that are know generally available in every consumer electronics store, Quantified Self has matured from a nerdy, rather esoteric niche to a mainstream trend. In many countries, healthcare institutions are experimenting with self-tracking, and there is a plethora of self-tracking apps for iOS and Android smartphones.

„Self-tracking is about change. But change is more often not about doing, but about stopping to do something.“ Gerry Wolf introduced this year’s conference with a keynote about breaking routines. A routine, he remarked, is a method to fight entropy. It consumes energy to maintain routines. Routines are efficient, as long as the conditions remain unchanged, but it restrains our acting freely. Self-tracking for most people is about uncovering routines in daily life, making bad habits visible, and then guiding the change by supplying an indicator.

When self-tracking is used to break habits, it opens additional degrees of freedom. Thus self-tracking is not so much about self-discipline, about restricting actions, living according to more rules, but about pushing the boundaries, and reliefing from constrains that are not neccessary, but exist just because we are used to do things that way.

Bad habits can creep into all our everyday activities. And self-tracking is not limited to counting the steps or measuring blood pressure. There are already a few apps that support people by tracking their driving. Acceleration (respectively breaking), turing, and speed can easily be tracked with the sensors that sit on every smartphone. From the readings of these probes, indexes can be derived, that give feedback on the quality and safety of driving. Becoming aware of bad habits can not only help the driver to save energy by learning to drive more ecologically, but reduce stress and lower the risk of accidents. Self-tracking can by this help driviers to act more consciously, and thus give them more freedom on the road.

Wearable Data Hack 2015 – Official Announcement

Wearable Data Hack 2015 – Official Announcement

Munich, 19 June 2015 – On the weekend of June, 19-21, Stylight, Datarella and Macromedia University proudly present the first hack day on wearable tech applications, data and design – the Wearable Data Hack 2015. the Wearable Data Hack 2015 will be the first occasion for most of the participants to share their 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 multidimensional pictures 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 use of it. And yet, wearable apps are still in their childhood.

Telling the stories of people’s lives

Wearable data is not an end in itself. Data is the raw material of our behavior. After data has been collected it has to be analyzed. There are algorithms which define the semi-finished results – these have to be enriched with other, contextual data. Analyzed and enriched data result in stories describing our lives.

Data & Design

For decades, designers have been seeking to design products to meet the seemingly never-ending rise of consumption. Since then, we appear to have evolved from an industrial economy to a knowledge- and data-driven economy. New models of thinking and new patterns of behavior and social values appear. Design thinking seems to provide some answers – it focuses on a human-centered approach, which combines design activities with research on human needs, and technological and business aspects, in order to create knowledge and solutions for highly complex problems.

The tracks

Hackers, designers and thinkers can choose from these tracks:

– Data-driven business models for wearables
– Data-driven wearables
– Smartphone app (Stand alone / comb with smartphone)
– User Experience
– Design
– API
– Open Data / Shared Data
– Medical data / mHealth

We invite hackers, designers and thinkers to meet each other, to discuss and find ways of using data in order to tell the people’s lives and create examples of socially relevant technology.

The date

Friday, 19 June – Sunday, 21 June

The location

Stylight, Nymphenburger Str. 86, München.

Stylight’s lofty office is well established as one of Munich’s coolest venues for Hackathons and perfectly suited to accommodate up to 100 participants.

The organizers

STYLIGHT is the first ‘shoppable’ fashion magazine in Germany. The STYLIGHT editorial team creates the best inspirational content every day, satisfying all the lifestyle news their users crave. No matter whether it’s fashion, beauty or stars – STYLIGHT is the number one website for inspirational excellence linked with innovative online shopping technology. With STYLIGHT you will never miss out on a trend again and can shop featured products instantly from all your favorite online stores.

Datarella is the mobile data technology company. The Munich-based startup taps into smartphones and wearable devices to harvest the data. Datarella supports data-driven analytics and product development for connected cars, smart home, mHealth, and retail.

Macromedia University follows these developments in its capacity as a university, and conceives itself as a place for reflecting on all aspects of media society. Our courses of study cover the broad spectrum of modern media careers, from management, and content jobs such as journalism, to the creative fields of design, gaming, and film and television. With over 80 professorships and over 2000 students in all five media centers of Munich, Stuttgart, Cologne, Hamburg, Berlin and Milan, the University trains the next generation of media talent for an international media society.

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

 

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 use of it. And yet, wearable apps still are in their childhood. The Apple Watch will be hitting the street in April and will get the ball rolling.

The Wearable Data Hack Munich 2015 is jointly organized by Stylight and Datarella.

THREADS TO BE PURSUED
Developers, data geeks and artists will pursue one or more of these threads:
– Data-driven business models for wearables
– Data-driven wearables
– Smartphone app (Stand alone / combined with smartphone)
– User Experience
– API
– Open Data
– mHealth / Medical Data

So let’s explore what we can do with this data! Let’s play with the possibilities of our wearable gadgets and mobile sensors.

APPLICATION
To apply for the Wearable Data Hack Munich 2015, please send us an email with
– your name
– your profession
– your take on wearable data
– 3 tags describing yourself best.
Don’t wait for too long – the number of participants is limited.

For more information, please have a look here! See you at Wearable Data Hack Munich 2015!

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 people based on their and our actions.

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Our vision of a World Map of Behavior
At Datarella, our vision is to show the actions of people around the world on a global map. By displaying the actions of people of all continents, we want to tell stories about the differences and similarities of global human behavior – to draw a picture of human co-existence. There already are snapshots of global behavior, provided by data focused companies, such as Jawbone, who map sleep patterns worldwide. From that we know that Russians get up latest, and Japanese get the least sleep in total . And there are different behavior-related maps, showing the world’s most dangerous places, defined by the number and seriousness of crimes or actions of war.

Co-operation & Participation
To create the World Map of Behavior is our ambitious project for 2015 that we won’t complete alone. We need your support: if you are an expert in the field of mobile sensor data or if your company already focuses on collecting and interpreting mobile sensor data in the fields of mobility, finance, health or transport and travel. If you are interested to play a role in this project, please send us an email with a brief description of how you would like to contribute. We are looking forward to hearing from you!