Oribi , an Israeli startup promising to democratize web analytics, is now launching in the United States.
While we’ve written about a wide range of new or new-ish analytics companies , founder and CEO Iris Shoor said that most of them aren’t built for Oribi’s customers.
“A lot of companies are more focused on the high end,” Shoor told me. “Usually these solutions are very much based on a lot of technical resources and integrations — these are the Mixpanels and Heap Analytics and Adobe Marketing Clouds.”
Other things to check out:
Data scientists are pushing the boundaries of analytics and making a fortune.
TLDR: From data analysis to machine learning to artificial intelligence, The 2020 All-in-One Data Scientist Mega Bundle this training explains it all.
In the event you aren't a numbers person, it's entirely possible that the science of breaking down data, putting it into a new configuration and thereby recontextualizing its meaning may feel like geek gobbledygook.
But data science isn't about making information impenetrably complex. It's about making huge data sets more relatable to the average person. Like new mom and data scientist Caitlin Hudon, who used her professional skills to visual map the changes her new baby had on Mom's daily routine . And in case you couldn't guess, the change was seismic.
Survey Finds SMBs Aren't Fully Leveraging Business Analytics - insideBIGDATA
Despite spending hundreds of hours and thousands of dollars on their data analytics solutions annually, 86% of SMB managers and executives surveyed by Onepath said their companies could be making better use of these technologies .
Onepath , a long-time provider of managed technology services to small and midsize businesses, completed a survey of 100+ managers and executives in SMBs on the topic of data analytics. The research found that 67% of SMBs are spending at least $10,000 annually on people and technology to maintain their data analytics solutions, and 75% of survey respondents reported spending at least 132 hours each year on maintenance of these systems.
Coronavirus an unavoidable discussion at this year's Sloan analytics conference - The Boston Globe
The specter of the global coronavirus pandemic cast a "keep your distance" chill over the 14th edition of the popular gathering for data and analytics enthusiasts.
More than 3,000 attendees from 43 states trekked to the sprawling, but enclosed Boston Convention and Exhibition Center. One of the first sights was masked and gloved members of the cleaning staff positioned at the tops and bottoms of escalators, holding a sanitary wipe on top of the moving rubber hand rails. Some attendees got the message, standing in the center of the moving stairway. Others gripped the rail, oblivious.
And here's another article:
SMBs aren't getting their money's worth out of data analytics - TechRepublic
Despite 67% of SMBs spending $10,000 USD or more annually on analytics software and people, and 75% spending at least 132 hours annually on maintenance tasks related to analytics, 86% of leaders say they could be using them better.
"There seems to be very little debate as to whether data analytics tools are necessary for SMBs--they all agree these systems add tremendous value and could be delivering even more," said Onepath senior vice president of sales Brian Kirsch.
Cloud or On Premise for Data Analytics: How to Choose | CustomerThink
GitLab , Dropbox and WhatsApp . All of them started in the cloud, and all of them moved back to private cloud or on premise infrastructure. Why? We sent our content team to find out. Two weeks (and several gallons of coffee) later, here are the results of their research.
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In this article, we'll briefly cover each factor and the implications for your company. As you read, bear in mind that we approach this from the perspective of natural language processing ( NLP and text analytics), since that's our focus. However, these lessons are applicable to all forms of data analytics.
Container shipping technology: Industry turning to analytics to navigate COVID crisis
12 Striking Statistics from the 2020 Global State of Enterprise Analytics Report - Business 2
The last decade has seen incredible business enthusiasm around becoming data-driven. With digital disruption surprising and sometimes snuffing out even the best-known brands, enterprise organizations have received a clear wake-up call that the only constant is change – and insights are needed to move quickly and successfully forward.
A new survey of 500 analytics and business intelligence professionals from around the globe reveals that while some organizations and industries have opted to hit the snooze button on data-driven business transformation, others are off to a fast start in a new decade that will demand real-time, informed experiences and decisions.
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