We have noticed a trend in big data journalism. Topics that receive the most attention aren’t necessarily those that deserve it the most. This is especially applicable when it comes to articles covering the intersection between big data and marketing. There is a strong case to be made that big data is having a tremendous impact on sticker marketing and other forms of offline branding.
Is reading the news feeling a little stressful today? Can’t imagine why. Don’t worry: you’re not alone. A Pew Research study found that seven of 10 Americans today suffer from “news fatigue” — meaning they feel worn out and like they can’t keep up. Meanwhile, an APA survey found that 56 percent of Americans want to stay informed, but it stresses them out.
By using AI to develop better marketing procedures, businesses can boost their visibility to potential clients and achieve a higher level of impact with a lower investment.
More companies are looking to perform analytics on data as soon as it comes into systems and applications, in order to gain insights more quickly.
Predictive analytics is the foundation of modern marketing. Companies rely on predictive analytics to:
Get a better understanding of customer behavior based on past data that has been collected
Use existing data sets to identify future trends that will influence the future of your business
Evaluate previous data repositories to identify threats and take corrective action
Web development platforms are recognizing the importance of incorporating predictive analytics into designs.
Almost everyone has heard of Brexit, even if they aren’t directly feeling the change. The term has made news around the world almost immediately upon conception and hasn’t stopped circulating. For those not in the know, Brexit started as the 2016 vote for the United Kingdom to leave the European Union for a whole host of reasons.
The vote was incredibly divisive.
If Friends was set in the present day, and Chandler, Joey, Rachel, and Monica were playing the who-knows-who-best trivia game, the girls would have easily named Chandler's job, which is, at its very core, a Data Scientist.
Given that companies today are collecting more data than they can handle, data scientists like Chandler are highly sought after. Truth is, it's not as complicated as it seems.
At its most minimal, you really only need Microsoft Excel and an online bootcamp like this one to get started.
Sometimes, reading a lawsuit, it’s tempting to pick sides, to judge who is more right than wrong based on its contents. But a new lawsuit involving two venture-backed companies — both of which are rooted in machine intelligence — makes both sides sound surprisingly careless given their line of work.
The plaintiff is Quid, a now 12-year-old company that has raised roughly $108 million from investors, shows Crunchbase.
Google is announcing several updates to its data analytics products at its Google Cloud Next developer conference today. The company wants to make it easier to move data to Google’s cloud, manipulate data and turn this data into insights.
First, Google wants to make it easier to access all your data from Google’s platform. The company is launching Cloud Data Fusion in beta.
Google today announced a new services that makes the power of BigQuery, its analytics data warehouse, available in Sheets, its web-based spreadsheet tool. These so-called ‘connected sheets’ face none of the usual limitations of Google’s regular spreadsheets, meaning there are no row limits, for example. Instead, users can take a massive dataset from BigQuery, with potentially billions of rows, and turn those into a pivot table.