“We enable our customers to make business decisions based on data-driven insights using data sourced with Import.io.” StoryFit is revolutionizing how movie studios and book publishers identify winning scripts and manuscripts. Using artificial intelligence and machine learning, StoryFit generates predictive analytics that go deeper and wider than current programs. Never-before…
Originally posted on October 18th, 2017 Data extraction consists of more than just scraping valuable business information and compiling it in a spreadsheet for future use. It can also transform your business by keeping you from spending too much time on tasks like manual data entry. You can simply automate…
The Data Scientist is one of the most sought after positions in tech – and much of the business world. But the demand is very quickly outstripping the supply.
McKinsey estimates that by 2018, the U.S. economy will have a shortage of 140,000 to 190,000 people with analytical expertise. And if you’re a startup or business that’s looking to expand your data science operations, that might sound a little scary.
We’re not saying it’s going to be easy, but with these tips from Data Scientist at Insightly, Sara Vera, it’s certainly going to get a lot easier.
In her keynote at Extract SF 2014, Sara gave us her top three tips for hiring great Data Scientists. And now, she’s sharing them with you! Watch the quick 10 minute video of her talk and then read on for a more in depth look at her insights.
Originally Posted on June 5th, 2017 These days, you hear a lot about machine learning (or ML) and artificial intelligence (or AI) – both good or bad depending on your source. Many of us immediately conjure up images of HAL from 2001: A Space Odyssey, the Terminator cyborgs, C-3PO, Data…
Originally posted on February 25th, 2016 If you’re one of the 125k KimonoLabs users who got this message last week… “After almost 2 years of building and growing kimono, we couldn’t be happier to announce that the kimono team is joining Palantir.” …you’re probably wondering what to do next. KimonoLabs…
From Extraction to Transformation to Insights Tapping into web data represents a competitive imperative for organizations across a wide range of industries, including retail, manufacturing, equity research, insurance, data science, and marketing. By using web data in critical decision processes, organizations gain the intelligence needed to optimize: Product and pricing…
According to Market Research Future, the market for embedded analytics is forecast to grow by 14% per year to a $52 billion market by 2023. So what is embedded analytics, and what’s behind this increasing interest? Analytics in general refers to the data acquisition, data transformation, and business intelligence development…
Want to monitor and analyze product offerings and pricing in each country you serve? Need to ensure price compliance globally, in each country’s currency? Want to analyze customer sentiment and rankings from Amazon based on country? Need to aggregate “local” news from around the world? Import.io country-based data extraction now provides…
“Big data” isn’t just a buzzword; it’s actually an accurate description of the data challenge organizations face today. Consider these statistics from Forbes: Between 2015 and 2020, the total digital universe of data will grow by a factor of 10 By 2020, there will be 6.1 billion mobile phone users,…
Import.io Transform helps customers reduce the time it takes to prepare data for analysis by cleaning the data directly in Import.io. Below is a walk-through of using Transform to clean and prepare data from Amazon.com and analyze customer ratings by brand. Our end-goal is to visualize and monitor how different brands…
