Dataconomy
APRIL 18, 2016
‘Disruption’ is a pretty well-worn term these days, mentioned at least three times in the first five sentences of any tech blog and thrown around liberally at any good Silicon Valley hackathon. Up until relatively recently, the efforts of data-led disruption were directed squarely at consumers and changing the way. The post Big Data’s Next Big Impact?
Explosion
APRIL 3, 2016
Because we’ve been doing the same thing for a long time, sometimes we get very used to talking about our work in words that most people don’t use. So, here’s another take on it, in the style of thing explainer. When I was little, my favorite TV shows all had talking computers. Now I’m big and there are still no talking computers. At least, not really talking.
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Christian Haschek
APRIL 24, 2016
The result Github repo: [Link]( [link]
Dataconomy
APRIL 25, 2016
Daniel Mintz is the Chief Data Evangelist at Looker. Previously, he was Head of Data & Analytics at fast-growing media startup Upworthy and before that he was Director of Analytics at political powerhouse MoveOn.org. Throughout his career, Daniel has focused on how people interact with data in their everyday lives and. The post “But those skills for using data to listen deeply have proved invaluable in my career” – Interview with Looker’s Daniel Mintz appeared first o
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Dataconomy
APRIL 12, 2016
There are hundreds of hotel booking sites online. They all have their own method of matching customers with options. There are basic options, like how many bedrooms for less than $200, and users will still end up searching through several pages before finding the right offer. Generic offers and bad. The post Can Big Data Help Us Travel Better? appeared first on Dataconomy.
Dataconomy
APRIL 5, 2016
Psychological research requires a lot of testing, and a lot of surveys. When relying on surveys, there is a necessary assumption that the subject can be trusted, and that they are answering factually rather than guessing or feeling. Much of the reporting around depression is based entirely on these surveys. The post Who Are You? Big Data Tackles Personality, Behavior and Psychology appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
APRIL 11, 2016
Every day it seems, there’s a new buzz worthy entrant into the IoT market – from smart plugs that efficiently connect you to your power source to connected cars that smartly help you avoid would be accidents. But what if you don’t have an IoT device in the pipeline? What. The post 5 Novel Ways to Monetize the IoT appeared first on Dataconomy.
Dataconomy
APRIL 21, 2016
Recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data. Leveraging these advances, new technologies now support SQL on Hadoop, making in-cluster analytics of data in Hadoop a reality. This. The post 3 Reasons Why In-Hadoop Analytics are a Big Deal appeared first on Dataconomy.
Dataconomy
APRIL 28, 2016
Wearables continue to be a hugely popular item across different age groups and even continents. They track steps and sleep cycles, but just how valuable is that information? In reality, this data is only partially useful for the wearer. Without big data to decipher what is more or less healthy, The post Can Big Data From Wearables Help Us Sleep Better?
Dataconomy
APRIL 22, 2016
Since the 1700’s people have been studying insects and in the past decade, more research has been popping up on how insects are used in data science applications – and frankly, it’s pretty cool. From creating an alternative food source to city planning,insects and data go hand in hand in. The post Cockroaches, Bees, Crickets and Big Data may just save lives appeared first on Dataconomy.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Dataconomy
APRIL 1, 2016
NASA is often on the front end of tech trends. They are constantly coming out with new tools, releasing incredible footage and data, and even support open source communities. Given how much information they can and often need to receive from their space equipment, it is no surprise that they. The post Not Just For Earthlings: NASA Has Big Uses for Big Data appeared first on Dataconomy.
Dataconomy
APRIL 19, 2016
Start-up admiration and entrepreneurship are alive and well outside of Silicon Valley. Check out Berlin, London or Amsterdam and you’ll be met with a striking number of founders, start-up hoppers, and entrepreneurs. Silicon Valley does reign supreme, but the tides are continuing to turn outside of the California-bubble. In fact, The post US VS.
Dataconomy
APRIL 8, 2016
As Senior Vice President of Engineering, Peter Sirota is responsible for scaling engineering and managing, organizing and utilizing Quantcast’s tremendous understanding of real-time consumer behavior. What is the impact of big data and how is it being used to identify patterns and trends especially now with media and publishers becoming active. The post “A great deal of tech challenges in our industry are ultimately challenges in understanding people.”-Interview with Quantcast’
Dataconomy
APRIL 29, 2016
In the world of data analysis, one tool is often left unused. While being a very powerful analytics tool, cohorts are often pushed aside due to their seemingly complex nature. With a lot to offer in the way of data analysis, let’s take a deeper (yet simplified) look into cohorts. The post How to Use Cohort Data to Analyze User Behavior appeared first on Dataconomy.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Dataconomy
APRIL 4, 2016
1. C4.5 What does it do? C4.5 constructs a classifier in the form of a decision tree. In order to do this, C4.5 is given a set of data representing things that are already classified. Wait, what’s a classifier? A classifier is a tool in data mining that takes a. The post Top 3 Algorithms in Plain English appeared first on Dataconomy.
Dataconomy
APRIL 26, 2016
Data scientists suffer needlessly when they don’t account for the time it takes to properly complete all of the steps of exploratory data analysis There’s a scourge terrorizing data scientists and data science departments across the dataland. This plague infects even the best data scientists, causing missed deadlines, overrun budgets. The post 4 steps to neutralize a data scientist’s biggest threat appeared first on Dataconomy.
Dataconomy
APRIL 15, 2016
Wladimir Huber (29) worked several years as a professional trader in a German investment bank, founded an eCommerce startup and holds a M.A. in Finance from Leuphana University. Since he graduated from the university, he constantly developed internet business models. He especially enjoys the data-driven and analytical approach to business. The post “Perhaps by the end of 2021, FinTech will no longer be a buzzword at all…” – Interview with SwipeStox’s Wladimir Huber appeared first on Dataco
Dataconomy
APRIL 7, 2016
At a blistering pace and for a variety of reasons, companies are migrating their on-premise database infrastructures to cloud-based solutions—to save costs on hardware, tame the impact of disaster recovery or even to improve security. As the missing pieces of the Cloud continue to be identified and put into place, The post 3 Key Factors to Migrate Your Database to the Cloud appeared first on Dataconomy.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Dataconomy
APRIL 20, 2016
Continuing our ambitious European journey to spread our Big Data knowledge, we stopped for the fifth time in Munich, where on the 7th of April we hosted another great event for our Bavarian community. This time, the event took place at Wayra Deutschland, a startup accelerator owned by Telefonica, who. The post Big Data, Munich v 5.0 Recap appeared first on Dataconomy.
Dataconomy
APRIL 27, 2016
Ioana-Andreea Grapa Events Manager Originally from Romania (the first nation to have a happy graveyard) Calling herself a Berliner for just over a year Appreciates a good glass of red wine :) What brought you to Dataconomy in the first place? First of all, it was my passion for events. The post Behind the Scenes of Dataconomy: Meet Ioana! appeared first on Dataconomy.
Explosion
APRIL 3, 2016
When I was little, my favorite TV shows all had talking computers. Now I’m big and there are still no talking computers, so I’m trying to make some myself. Well, we can make computers say things. But when we say things back, they don’t really understand. Why not?
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