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…
Data analytics tools can help deliver that value and bring that data to life. A lot of hard work goes into extracting and transforming data into a usable format, but once that’s done, data analytics can provide users with greater insights into their customers, business, and industry. There are three…
There are thousands of Big Data tools out there. All of them promising to save you time, money and help you uncover never-before-seen business insights. And while all that may be true, navigating this world of possible tools can be tricky when there are so many options.
Which one is right for your skill set?
Which one is right for your project?
To save you some time and help you pick the right tool the first time, we’ve compiled a list of a few of our favorite data tools in the areas of extraction, storage, cleaning, mining, visualizing, analyzing and integrating.
The term “wrangling” evokes images of cowboys lassoing runaway cattle, getting them under control, and taking them back to the herd. Data wrangling is also like lassoing data and putting it to work in your business. According to IBM, our output of data was roughly 2.5 quintillion bytes a day in…
Cool use of data scraping with Import.io! Craig (@craigsdewar) shows how he uses data scraping to get horse racing data from http://racenet.com.au using @importio and @alteryx to create a cool CRAIGsBET @Tableau dashboard.
“Import.io gives us access to a continuous supply of high-quality data for market intelligence.” Situation The key to XiKO’s success lies in its ability to apply linguistic modeling to vast amounts of data collected from websites. Before Import.io Home-grown tool Losing production time to data extraction – not core competency…
