Story Highlights Science, Energy and Technology Minister, Dr. the Hon. Andrew Wheatley, says embracing open data can bring significant economic benefits for Jamaica. He said it is estimated that approximately 100,000 jobs will be created within the EU over the next couple of years, and estimates indicate that over US$2.2…
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.
INSCMAGAZINE: As a business owner, it’s always beneficial to gain more knowledge on how to attract new customers, so by using web scraping tools on relevant high-traffic websites you’ll be able to gather insights on what your customers are looking for. Original article here: May 22, 2018 Zac Ferry Data analysis…
Original article here: AEIdeas Bringing data to the debate A recent report by Motu Economic and Public Policy Research, seeking to address whether the rollout of the UFB has indeed reduced digital divides makes interesting reading. The report is independent and not government-commissioned research. It uses sophisticated web scraping to collect demographic, economic,…
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…
The UK’s Office for National Statistics — which has faced heavy criticism over the quality of its data in recent years — is experimenting with web-scraping to collect price quotes for food and groceries, for example, and making use of VAT data from small businesses to improve its output-based estimates…
“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,…
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…
