According to Gartner Research, the market for data preparation solutions will reach $1 billion in 2019, with 30% of organizations employing some type of self-service data preparation tool set. So what exactly is data preparation, and why is it so important? Informatica.com defines data preparation as “a pre-processing step in…
We are pleased to announce that Greg LeNeveu has joined Import.io to lead sales and revenue growth initiatives. Greg brings 18 years of proven success in helping enterprise-level software companies grow exponentially by providing strategic value for their customers. “Import.io is at the right stage to bring in a growth…
Tapping into web data represents a competitive imperative for any organization. Web data helps organizations gain the intelligence needed to optimize product and pricing strategies, investment decisions, risk management and much more. In this recorded webinar, find out how Import.io automates web data extraction and enables you to transform the…
Have you ever needed to analyze web data as if you were in another country? Often, this is difficult, because some websites serve different content based on the IP address of the user. Import.io country-based extractors solve this dilemma by enabling you to extract data as if you are located…
“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…
