Lena Gaede

Digital transformation and customer experience – how data mining and big data analytics improve customer understanding

The customer is king and the king wishes new services nowadays. Induced by digitalization he has changed his expectations on services and products. While the customer can access product information and purchase easily mobile – whenever and wherever he wants – the competition between companies grows stronger. Thus, the most effective way to distinguish yourself from competitors remains the customer experience: it already drives two thirds of the decisions customers make, according to an insight by McKinsey. The motto is: provide a great customer experience – or you may lose your customer. And as usual, technology is your friend! Read on to find out how digital transformation and data analytics help to improve the customer experience.

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Filiz Sarah Gärtner

CODE_n Alumni | Catching up with … Massive Analytic

Massive Analytic, a pioneer in Artifical Precognition, was one of CODE_n’s finalists in 2014 and has come on leaps and bounds since its time with us in Hanover. In our next part of the CODE_n Alumni catch-up series, we talked to CEO George Frangou about the young company’s most important learnings and greatest achievements (like building a relationship with Microsoft) since then.

massiveanalytic

Following on from your time as a CODE_n finalist, what have been Massive Analytic’s greatest achievements?

George Frangou: I would say our greatest achievement has been the launch of Oscar AP on the Microsoft Azure Marketplace in June of this year. Our technology is now available for purchase. It’s exciting to be building that relationship with Microsoft. We’re also proud of our entry to the Lockheed Martin Virtual Technology Cluster. Getting both of those endorsements have been great for us.

What lessons have you learned or failures you’ve experienced and how have you coped with them?

George Frangou: The key lessons we have learned over the last year is to get our product messaging right. Often it is easy to be passionate about the product and describe it in a manner that does not resonate with the target audience. We were able to set that right on the back of our involvement in CODE_n and the client engagements that followed immediately.

What were your biggest takeaways from your time at CODE_n?

George Frangou: The biggest takeaway from CODE_n for me was seeing how many young innovative companies there are doing different and exciting things. It was great to share experiences and inspiring to see what’s going on. More…

Isabel Alexandre

Meet CODE_n finalist LeanCiti

Eran Aloni

Eran Aloni is the CEO of LeanCiti

In line with the vision of a “Smart City,” LeanCiti enables people, municipalities, and communities to share any type of city-related data about resource consumption within a social network. The platform, created by the Israeli startup LeanCiti, uses big data to help cities and its residents make informed decisions, plan ahead, and use resources optimally. It is applicable in a variety of scenarios, from renewable energy production to water consumption, the reading of smart meters, or the measurement of greenhouse gas emissions. 

The startup was one of the CODE_n14 finalists and had the opportunity to present its project during the five days of CeBIT. In today’s interview, we talk to Eran Aloni, CEO of LeanCiti, about smart cities, their big data solutions, and how they experienced the time spent in the CODE_n hall during CeBIT.

Could you briefly explain how the smart resources platform LeanCiti works?

LeanCiti collects data from smart meters and smart devices that monitor energy consumption and production in smart city environments. We use social networks to change consumption behavior and study patterns, and also allow consumers, producers, and cities to share, compare, and define goals.

How do you encourage usage and get people involved with the platform?

Social engagement, environmental awareness, and gamification.

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Isabel Alexandre

Meet CODE_n finalist AutoGrid System

AutoGrid System is based in Silicon Valley, more precisely, in Redwood City, California. The American startup organizes the vast and growing amount of energy data produced from an increasingly networked and automated grid. With deployments of smart meters, distributed generation, and other grid sensing technologies reaching critical mass, the electricity supply chain now has to deal with greater data volumes than ever before. And AutoGrid is here to work on this problem, improving the production and consumption of electricity.

Amit Narayan, founder and CEO of the startup, explains to us a bit more about how the company connects big data and the energy industry. He also talks about their experience at CODE_n during CeBIT.

Amit Narayan

Amit Narayan, founder and CEO of AutoGrid System

How does AutoGrid use big data, predictive analytics, and cloud computing to optimize the electrical grid?

Autogrid organizes the world’s energy data using Internet-scale, secure cloud computing to process the petabytes of information produced in an increasingly networked and automated grid. AutoGrid employs big data analytics to generate real-time predictions and implement programs for electricity generators, providers, grid operators, and their customers to optimize the use of assets across the grid and manage costs through a comprehensive Energy Data Platform (EDP)™

Apps built upon EDP™ are powered by forecasting and optimization engines, managing functions such as:

  • End-to-end Demand Response with our Demand Response Optimization & Management System (DROMS)
  • Home Energy Management through our customer portal, which Schneider is white-labeling as their Wiser product
  • Peak Charge Management for facilities with Energy Cost Optimizer (ECO), an app co-developed with NTT DATA

Who can use AutoGrid’s platform and how?

Anyone along the electricity value chain can use AutoGrid’s platform and apps, including utility companies, power retailers, ESCOs, facilities, and customers. Apps on the Electricity Data Platform (EDP) are Web-based. Users can subscribe via a Software as a Service (SaaS) model. Additionally, resellers can license the technology. Silver Spring Networks is reselling our DROMS app as their own product, as “Demand Optimizer” within their Utility IQ suite.

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Isabel Alexandre

Meet CODE_n finalist Avansera Oy

“Can you see the future? It is in your hands.” That is how Avansera Oy presents itself. The Finnish startup, that combines historic behavioral data with calculated future intent, can predict what consumers will buy.

Cormac Walsh, CEO and Founder of Avansera Oy, talks in today’s interview about how Big Data can benefit the Fast-Moving Consumer Goods companies and retailers. As one of the Top 50 finalists, he also tells us his experience at CODE_n’s hall during the CeBIT.

Cormac Walsh

Cormac Walsh is the CEO of Avansera Oy

Why create a startup like Avansera Oy?

There is a strong need from the Fast-Moving Consumer Goods (FMCG) industry to see what shoppers are doing in the physical world; this is the core of the need for our customers. To provide the necessary context, let us look at the current market analysis business. Consumer behavioral data is collected through online activity related to online activity, or through questionnaires and focus groups. These approaches are limited in terms of reach and accuracy. Online data collection related to online behavior misses the behavior in the physical world, whereas traditional questionnaires and focus grouping have low accuracy and are very expensive (non-scalable).

In Avansera Oy, we deal with both of these issues. By providing accurate and scalable consumer digital services specifically relevant to the physical world, we can offer a high-value service at a lower price point than the traditional competition.

In an average week in the EU, there are over 600,000,000 grocery trips, not much of this physical data is currently being collected. At Avansera Oy, we want to collect as much of it as we can, and use it to benefit industry and society.

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Janina Benz

CODE_n at CeBIT 2014 – a review

Weisshaar and Kram designed the artistic concept with 12 meter-high terapixel displays everywhere

Weisshaar and Kram designed the artistic concept with 12 meter-high terapixel displays everywhere

The time we spend each year at CeBIT is always a professional and personal highlight. As the CODE_n team descends on Hall 16, our thoughts are occupied by the artistic design, the people behind the startups, and the upcoming award show. We will never forget the moment when we walked into the hall for the first time – wow! 12 meter-high terapixel displays everywhere. At this point congratulations have to go to Weisshaar and Kram for their outstanding artistic concept. There could never have been a more appropriate concept to showcase the 50 most innovative startups from all over the world and their big data solutions.

We’re proud to say that 17,000 people visited the CODE_n hall this year. This excitement was also reflected by the press, venture capitalists, bloggers, and visitors in general. In total, there were 50 startups from 17 countries, creating a palpably entrepreneurial spirit. Everyone was just thrilled by the atmosphere. More…

Isabel Alexandre

Meet CODE_n finalist Intelie

Intelie uses advanced trend analysis and information correlation technologies to help businesses achieve their strategic goals by avoiding possible mistakes. The Brazilian startup created Intelie Live, a platform that can process large amounts of data in real time and correlate them to create business scenarios.

Ricardo Clemente is the founder of Intelie

Ricardo Clemente is the founder of Intelie

In today’s interview Ricardo Clemente, founder of Intelie, talks about their big data solutions, the startup landscape in Brazil and, of course, their impressions about participating at CODE_n and CeBIT this year!

What differentiates Intelie from its competitors?

We have two main differentiators. The first one is related to the technology perspective. Our platform is able to analyze huge amounts of data in real time with low consumption of memory and infrastructure. Therefore, the company is able to perform correlated analysis and get information in real time by using our distributed correlation engine (PIPES). The second differentiator is on the business side. We have developed several segmented solutions per target industry. Thus, we build indicators, alerts, and visualizations for a certain industry, such as e-commerce, retail, oil and gas, insurance, telcos, finance companies, etc.

How can big data change the way companies work today?

Our solution improves the way that people work. The current data analysis culture is based on historical data only, using BI and Analytics tools. We would like to speed up this way of thinking. With our solution, managers make the most of their huge amounts of data and become proactive. They can immediately identify failures or business opportunities and act on them. Managers cannot rely only on daily or even weekly reports. For example, if I am working in e-commerce, I should be immediately informed if my conversion rate is too low or if many payments were blocked during fraud analysis. These blocks may be incorrect and I might be losing money. We have examples for all industries I just mentioned. Our job is to educate the market and show the importance of faster thinking and operational intelligence.

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Isabel Alexandre

Meet CODE_n finalist Science Rockstars

For the Dutch startup Science Rockstars, good science is the key to great business. That’s why they created PersuasionAPI, an SaaS-based API for e-commerce marketing teams. The software acts on powerful insights into the actual behavior of individuals, helping companies increase customer loyalty and conversion.

Maurits Kaptein

Maurits Kaptein is Chief Science Officer of Science Rockstars

The startup is a pioneer in persuasion profiling. And what is this? According to an article about the technique and its creators in Wired magazine, persuasion profiling doesn’t just find content your customers might enjoy, it figures out how they think. The chief science officer at Science Rockstars, Maurits Kaptein, was one of the doctoral students in communications who conducted the research about persuasion profiling at Stanford University. In today’s interview he talks about these studies, the foundation of the startup and their first product, the PersuasionAPI.

Could you briefly explain what persuasion profiling is and the main conclusions of your research on the technique?

A persuasion profile is a collection of estimates on the effect of persuasive strategies and the associated uncertainty. At least, that’s the scientific definition. Basically a persuasion profile captures the sales arguments that a customer is susceptible to. The profile is updated continuously as the customer interacts with a website. By using persuasion profiling you can make sure you select the right sales pitch for the right customer.

What led to the setting up of Science Rockstars?

Science Rockstars initially grew out of my PhD work (at Eindhoven University and Stanford University). We were gradually shifting towards a first viable product in 2012, only in our spare time, and we launched the company in August 2012 when we went live with our first Beta customer Booking.com. We started pulling together to form this great team to grow beyond research into an actual product. And finally, it’s ready!

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