Startup Bootcamp – Dataconomy https://dataconomy.ru Bridging the gap between technology and business Wed, 27 May 2020 08:32:02 +0000 en-US hourly 1 https://dataconomy.ru/wp-content/uploads/2025/01/DC_icon-75x75.png Startup Bootcamp – Dataconomy https://dataconomy.ru 32 32 Smart Cities & Living with Startupbootcamp https://dataconomy.ru/2014/12/10/smart-cities-living-with-startupbootcamp/ https://dataconomy.ru/2014/12/10/smart-cities-living-with-startupbootcamp/#respond Wed, 10 Dec 2014 11:47:09 +0000 https://dataconomy.ru/?p=10884 Startupbootcamp is a global network of industry focused startup accelerators. They take startups global by giving them direct access to an international network of the most relevant partners, investors and mentors in their sector. In addition to their Internet of Things and Data chapter in Barcelona, Startupbootcamp are also in the process of building their […]]]>

Startupbootcamp is a global network of industry focused startup accelerators. They take startups global by giving them direct access to an international network of the most relevant partners, investors and mentors in their sector.

In addition to their Internet of Things and Data chapter in Barcelona, Startupbootcamp are also in the process of building their Smart Cities & Living chapter in Amsterdam. Focused on connected devices and automation, they are aiming to drive data centric solutions to problems such as energy management, waste management, urban planning and smart health solutions.

We spoke to Selection & Alumni Manager Mark Wesselink to learn a little bit more about the program:

Tell us a little about yourself and why you got involved in Startupbootcamp.

I have started 12 companies myself, failed 4 times, sold 2 and one company even did an IPO. The first 3 years in a startup is always the most difficult, and from an angel investor perspective also the most time consuming.

Startupbootcamp provides a way to combine knowledge, experience and network into a 3 month accelerator program, 3 month funding program and an 18 month alumni program. We will be actively involved for a minimum of 24 months and sometimes even longer. In that way we will increase the chance of survival. Our survival rate in Amsterdam is currently 95%.

What are the main benefits of accelerator programmes such as Startupbootcamp vs. going it alone as a startup?

I started a company in 2006 based on a hunch, we validated a lot of the model and it took us 16 months to change the model from personalised baby food to personalised offer for green energy. In an accelerator it would have only taken us a month.

Could you tell us about some of the startups already on your roster in Amsterdam, and the challenges they are aiming to tackle?

We have accelerated 50 companies in Amsterdam and a total of 200 companies with all the programs combined. The main challenge for everybody is that they want to scale too fast without having a good product/market fit and another challenge is to form a solid team with a good caretaker in the middle who can connect all the dots and get things done.

How would you say the scene for data science/smart living focused startups here in Europe compares the US?

In the US there is a culture that failure is not a problem, so people are willing to fail. The only way to learn how to build a startup is by failing fast and learning from it.

We see in Europe a clear shift that people are becoming willing to fail and learn. Don’t forget that the EU market is still the biggest market in the world.

Why did Startupbootcamp choose Amsterdam as the home for this accelerator?

We think that technology can help solving the current problems of cities. More people in cities means more pollution, more cars, more energy consumption etc. Amsterdam is one of the most connected cities in the world, has a Smart Grid, a Living Lab for Smart Homes, and more bikes than people. It is one of the best cities in the world to live in.

The Dutch people are open to innovation and eager to test. A lot of big companies in the world are using the Netherlands as a market to validate and test their product.

Do you see any trends emerging with the startups innovating in this space? Any common pain points they are addressing?

We see more collaborative sharing platforms, IoT clouds, and P2P marketplaces that are connecting people offline. We have connected billions of people online but now local connection seem to be growing in importance. For example, P2P home-care, P2P Lending, P2P collaborative usage of consumer goods and tools.

Are there any challenges you would personally like to see a startup tackle in Smart Cities & Living?

The biggest challenge is to reduce transportation in a city – distribution wise, but also people wise. If we can connect both, we will reduce transport in a city by 50%. We have already accelerated a company which helps to reduce the search for free parking spaces in a city by connecting car owners with free the parking spaces of hotels, companies and private individuals. You can also imagine people giving other people a lift on a scooter, bike sharing, P2P car rentals at airports or in neighbourhoods. We also see platforms where anybody can pick up an item in the city and deliver it to somebody else, because they have to be there anyway. We also believe in local produce and deliver it to local restaurants and consumers.

People are busy, but a lot of people need help on a daily basis. Helping people is the most rewarding thing you can do. Why not combine the two: Let people relieve stress by helping others in the neighbourhood. Technology can help with profiling and matching those people.


Startupbootcamp Marc Wesselink Marc is the Selection & Alumni Manager at Startupbootcamp Smart City & Living. He is a serial Entrepreneur, having started 12 companies in FMCG, Home Electronics, Healthcare, E-Commerce, HR and Finance.


(Image credit: Startupbootcamp)

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10 Big Data Stories You Shouldn’t Miss this Week https://dataconomy.ru/2014/11/28/10-big-data-stories-you-shouldnt-miss-this-week-6/ https://dataconomy.ru/2014/11/28/10-big-data-stories-you-shouldnt-miss-this-week-6/#respond Fri, 28 Nov 2014 12:30:56 +0000 https://dataconomy.ru/?p=10683 “The biggest issue for governments today is how to be relevant. If all citizens are treated with dignity and invited to collaborate, it can be easier for administrations to have a direct finger on the pulse of the nation rather than lose it in transmission through multiple layers of bureaucracy”. This week has seen several […]]]>

“The biggest issue for governments today is how to be relevant. If all citizens are treated with dignity and invited to collaborate, it can be easier for administrations to have a direct finger on the pulse of the nation rather than lose it in transmission through multiple layers of bureaucracy”.

This week has seen several landmark announcements at the intersection between big data and bureaucracy. Firstly, we discovered that the first Prime Minister to use big data to secure a win, Narendra Modi, continues to innovate in his position of power. His office is using sophisticated big data analytics techniques on the mygov.in portal to ascertain public opinion in key areas of policy, in a move which has been described as a blueprint for future democracy.

Whilst India move towards big data adoption, the EU continue to be wary. A landmark ruling in the European Parliament this week voted to “break up” Google, and separate its search functions from its other revenue streams. Whilst the European Parliament lack the autonomy to implement this ruling, it sends a strong and clear message to Google that the EU remain disdainful of their business practices. The UN also approved “The Right to Privacy in the Digital Age”, keeping data privacy and ethics firmly on the agenda.

Here’s our pick of the rest of the key data science announcements you may have missed this week.

TOP DATACONOMY ARTICLES

8297483344_6b63cdfa60_hThe Data Science Skills Network

As a data scientist, I am usually heads down in numbers, patterns, and code, but as crazy as it sounds, one of the hardest parts of my job is actually describing what I do. There are plenty of resources that offer descriptions and guides on the career of a data scientist. I’ve heard them described as those at the intersection of statistics, hacking abilities, and domain expertise. Or, as data analysts who live in San Francisco.

SmashedWhy Organizations Need a Data Strategy

One of the most important tasks that a Data Architect is often asked to help with is the creation of an Enterprise Data Strategy. But why is Data Strategy so important and what exactly does it consist of, and lastly why is this a task that a Data Architect should be leading or supporting?                                                                                                                       …   

Top 5 Data Science Incubators and AcceleratorsTop 5 Data Science Incubators and Accelerators

Unfortunately, one great idea does not make a successful company. When it comes to founding a data science startup, a visionary idea is essential, but so is hiring the right team, gaining an in-depth knowledge of your market, and putting in place the best business practices to help your idea flourish. And then of course there’s funding.

TOP DATACONOMY NEWS

Medium introduces ChartedMedium Rolls Out Slick Visualisation Tool Charted, No Strings Attached                                                                                                

Publishing platform Medium has open-sourced their proprietary data visualisation tool, Charted, on Monday. Now available for public use, data stored on Dropbox or Google Drive can be linked to charted.co and it returns a visualization of that data made shareable through a permalink.                                                                                                    …                                                                                                                                               …

Moogsoft Unveil Deep Monitoring of Docker and OpenStack on Incident.MOOG PlatformMoogsoft Unveil Deep Monitoring of Docker and OpenStack on Incident.MOOG Platform

Moogsoft are the self-proclaimed “leading provider of operational intelligence for the new era of software”. To ensure that they’re firmly at the cutting edge of new technology, they’ve enhanced their Incident.MOOG software product – a service which provides deep monitoring support for hype-laden Docker container environments, as well as open source cloud computing platform OpenStack.

Qubole Provides Self-managing Data Platform as a Service on Microsoft AzureQubole Provides Self-managing Data Platform as a Service on Microsoft Azure

Qubole, a self-service Platform for Big Data Analytics, announced a strategic relationship with Microsoft Azure in a step to make Big Data solutions more accessible to more people on more platforms. Big Data is an elastic workload and the ideal cloud use case. The Qubole Data Service is a great way to drive cloud services revenue while delivering improved time to value Microsoft Azure customers.

TOP UPCOMING EVENTS

Hortonworks2 December, 2014- Machine Learning for Sensory Data Analysis, Australia     

Following the inaugural event successfully held in conjunction with AI’2013 in Dunedin, MLSDA’14 joins PRICAI’14 to provide a forum that aims at bringing researchers on sensory technology, networking, and distributed data mining together in order to respond to the unprecedented research challenges and opportunities resulted from the synergy between big data, machine learning, and wireless sensor networking.

2-3 December, 2014- The Chief Data Officer Summit, New York2-3 December, 2014- The Chief Data Officer Summit, New York

Data is the most competitive tool that your organization has in order to maintain relevance and growth in today’s complex environment. The ground-breaking Chief Data Officer Summit covers the latest innovations you need to advance your organization’s data strategy and management. In addition to the wealth of insight into data development, data governance and innovation, the summit will dissect the role of the Chief Data Officer like never before.

TOP DATACONOMY JOBS

HortonworksPricing Manager / Analyst, Wayfair   

As an Analyst of Pricing you will be responsible for pricing every product that appears on the website. You will manage the daily operational pricing functions while continually seeking to optimize procedures and test strategies to increase gross profit. If you love diving into deep data sets to identify areas for improvement, and be even more enthusiastic about solving those problems then do not hesitate to apply!

Business Intelligence Analyst, CupoNationBusiness Intelligence Analyst, CupoNation

We are currently looking for new talent to join our highly professional and dynamic Business Intelligence team. In your role you will be responsible to design end-to-end solutions that meet our company’s Business Intelligence requirements. This covers the definition and implementation of technical requirements for ETL jobs, creation of new data layers and the optimization and enhancement of the current data warehouse infrastructure.

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