Thibaut Loilier is in charge of Market Research for GFT. As author for CODE_n he shares his knowledge of the start-up business his time in Silicon Valley.
Thibaut Loilier is in charge of Market Research for GFT, member of the innovation team and author of GFT public whitepapers (Open Innovation, Mobile Banking, Mobile Payment and IT Trends). Before joining GFT, he worked as Business Strategy Analyst for BNP Paribas in San Francisco with responsibility for strategic analysis and relationship with Silicon Valley’s technology and innovation ecosystems (start-ups, academics, clusters…). He brings his experience within and knowledge of the start-up industry & ecosystem to the CODE_n initiative.
In the first post of this series “Building the Foundations for Big Data Success”, we introduced several companies that are addressing different software challenges posed by the world of big data, companies like Cloudera, Domo, Data Gravity, and Sqrrll. These companies are, of course, just the tip of the iceberg – the number of start-ups entering the big data marketplace is growing every day.
If you’ve been researching big data players, you may have come across the Big Data Startups Blog. On December 9th, the site published an eye-opening infographic showing the massive scale of investments being made by the new dedicated big-data VC funds in big data start-ups and the huge sums of money changing hands in big data IPOs and acquisitions. More…
Mark van Rijmenam is founder of the BigData-Startups.com and guest blogger for CODE_n
A Big Data study from 2013 by Tata Consulting Services showed that 47% of the 1217 firms surveyed had not yet undertaken a Big Data initiative. A similar research project by the SAS Institute in 2013 revealed that 21% of the 339 companies questioned did not know enough about Big Data and 15% of the organisations did not understand the benefits of Big Data. Several other surveys show more or less the same picture. Many organisations have no idea what Big Data is, even though all those brontobytes heading our way will change the way organisations operate and are managed. Big Data offers a lot of opportunities for organisations. An IBM 2010 Global CFO Study indicated that companies leveraging Big Data would financially outperform their competitors by 20% or more, and McKinsey reported a potential increase of 60% in operating margins with Big Data.
Although many organisations do not yet understand Big Data, it is pouring into all organisations from almost every angle imaginable. Every day, small and medium-sized enterprises can easily collect terabytes of data, while startups can effortlessly reach gigabytes and large multinationals can even generate petabytes without any problem. However, simply having massive amounts of data is not enough to become an information-centric organisation that stays ahead of its competition.
Big Data Strategy – McKinsey reported a potential increase of 60% in operating margins with Big Data
Note that I deliberately do not call these organisations data-driven organisations, but rather information-centric. The difference might seem subtle, but in fact the two terms are very different. Data, after all, is useless without the right tools at hand and the right culture in place. Only when data is transformed into information can it become valuable for an organisation. Information-centric companies have a culture that relies on data that is stored, analysed, and visualized, and in which the results form an integral part of the company’s strategic decision-making. More…
Dr. Ignasi Barri is an expert in innovation management in the technology surrounding and shares his experience on the CODE_n blog
Dr. Ignasi Barri is member of Applied Technologies in GFT Company. His fascination for technology and business helps him in his main goal: empowering innovation in the whole company. Innovation and business experience are combining perfectly to help him in being an author for the CODE_n organization.
As we noted in our first Big Data post, careful planning is key for the successful creation of a big data-ready infrastructure. Big data requires more than a change in mindset – it requires a change in the technologies used to deal with the different types of data in play and the way they need to be handled to maximize the benefits.
Organizations must analyze what data they have and how they want to use that data in order to match back-end infrastructure needs to application requirements; simply looking at the data and the infrastructure as if they exist in separate silos will not provide an appropriate solution.
Five key elements must be addressed to develop an appropriate strategy that takes all aspects of big data use and optimization into account: More…
Pierre DeBois – founder of Zimana, a small business digital analytics consultancy
One trend that startups should pay attentions to is how long established firms in other industry verticals are leveraging expertise. Startups can learn from industry leaders who have seen unique implementation challenges and solutions.
I wrote about one example in an All Analytics post on Sears. For a number of years, Wall Street analysts questioned the value of Sears. Its stores were considered out of step with the digitalization of the consumer retail experience. Even the value of store locations was questioned because many of them were in malls with declining retail traffic. But Sears had been developing its operations efficiency through using Hadoop, an open source noSQL database.
The result of Sears’ dabbling in the database lead to the launch of Metascale, a consultation subsidiary that helps other retailers improve their Hadoop implementation and administration. Time will tell if Metascale changes Sears’ image with Wall Street analysts, but the subsidiary introduced a revolutionary business model for retailers – The concept of consulting based on their industry experience. This is not a sole example. Think Amazon and how it scaled its warehouse operations and databases and you can see what can be possible when your startup scales properly with an eye on data (and particularly, big data). More…
Mark van Rijmenam is founder of the BigData-Startups.com and guest blogger for CODE_n
The healthcare is rapidly becoming another digitized industry that will generate vast amounts of data that can be analysed. Taking into account that a fully sequenced human genome accounts for 100 gigabyte of raw data, it may be clear that the healthcare industry will generate vast amounts of data in the coming years. All that data can be analysed to create tailored medicines, improve treatments as well as reduce fraudulent behaviours. According to PWC, fraudulent, wasteful, and abusive behaviours account for an estimated one-third of the $2.2 trillion spent on healthcare in the US each year, so there is a lot to win with big data.
Personalized medicines and treatments
Sequencing human genomes and DNA has become very cheap and fast today. In 2013 the sequencing of a human genome, including analysing and interpreting it cost only $ 5.000. More…
In today’s interview, we are talking to Ralf Werneth, Senior Sales Manager at Blue Yonder. The company was founded in 2008 and has become the leading software provider for predictive analytics in Europe.
Ralf Werneth – Senior Sales Manager at Blue Yonder
Janina Benz: Could you briefly tell us what exactly “predictive analytics” means and about the software’s origins in the field of elementary particle physics?
Ralf Werneth: Predictive analytics means generating substantiated prognoses on a range of issues, such as item turnover, customer behavior or risk management. For this, we have to use a company’s existing big data, or historical data. Depending on the topic at hand, these data can also be combined with external factors like the weather, for example. The “forecasts” are then generated in real time and can be implemented in any areas – all to the company’s advantage.
Our solution is based on knowledge from elementary particle physics, and our Blue Yonder development team is composed of physicists and computer scientists from renowned research institutes like CERN (The European Organization for Nuclear Physics). In fact, CERN particle accelerators analyze petabyte range data in seconds using software from Blue Yonder. As a machine learning solution, the Blue Yonder Predictive Analytics Suite can determine complete probability distributions. As such, the prognosis quality is far superior to that of conventional methods. More…
Mark van Rijmenam is the founder of BigData-Startups.com, one of the most popular big data knowledge platforms. He is an entrepreneur, speaker and advises organisations on developing their big data strategy. As a regular guest blogger on the CODE_n blog Mark will share his thoughts on the upcoming opportunities with big data volumes.
New technologies allow schools, colleges and universities to analyse absolutely everything that happens. From student behaviour, testing results, careers developments of students as well as educational needs based on changing societies. A lot of these data has already been stored and is used for statistical analysis by government agencies such as the National Center for Educational Statistics. With the rise of more and more online education and the development of MOOC’s all the data gets a completely new meaning. Big data allows very exciting changes in the educational field that will revolutionize the way students learn and teachers teach. More…
Marco Voigt is co-founder of PIN AG and one of the initiators of the GreenTec Awards, the best-known environmental award in Germany. For many years he worked as a consultant for the EU in the Ministries of Economics, of Environment, and of Science, and coordinated several support programs in the field of environmental technologies and electromobility. At the moment, though, he is focused on anchoring clean technologies in German industries. Additionally, he is managing partner at VKP Consulting and partner of Deutsche Messe AG for Business Development, responsible for the international trade fair IndustrialGreenTec.
Janina Benz: Could you tell us about the GreenTec Awards (formerly Clean Tech Awards)?
Marco Voigts: The GreenTec Awards is an annual event presenting the newest advances in green technologies. Green technologies need strong ambassadors! The GreenTec Awards bridges the gap between entrepreneurs, scientists, politicians, artists, media representatives, and consumers, thus raising awareness and boosting the popularity of the sustainable (r)evolution. Projects range from car-sharing concepts to recycled construction materials—any innovative project can be part of the competition. But the GreenTec Awards is much more than just that: we host a session for the jury, encourage people to vote for their favorite projects online, and carry out many other activities to raise awareness for a more sustainable life. One of the event’s highlights is an interactive exhibition that invites guests to experience environmental technologies firsthand. More…