These trends could allow companies leveraging data and analytics to successfully find their way through the financial and operational difficulties caused by Covid-19.
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Firstly, advancements in artificial intelligence (AI) has been identified, with the technology, including machine learning (ML) and natural language processing (NLP) providing insights and predictions on the spread of the virus and the effectiveness of possible countermeasures.
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Video Analytics Market by Component, Application, Deployment, Type, Vertical, and Region - Global
The market size is expected to be USD 4,935 million in 2020 and is projected to reach USD 11,778 million by 2025, at a CAGR of 19.0% during the forecast period.
Factors that are expected to drive the growth of the video analytics market are increased investments and focus of governing institutions on public safety, need to utilize and examine unstructured video surveillance data in real-time, a significant drop in crime rate due to surveillance cameras, growing need among enterprises to leverage Business Intelligence (BI) and actionable insights for advanced operations, limitations of manual video analysis, government initiatives in emerging
Amazon Brand Analytics: Getting the Most Out of Your Sales on Amazon
As part of this effort, they have made some of their most powerful tools for conversion and reporting available specifically to those sellers who participate in the Amazon Brand Registry program.
It allows access to special programs like A+ Content, Sponsored Brand Advertising, and tools to help protect their intellectual property.
One of the powerful, yet often missed, features of Brand Registry is the Brand Analytics and Brand Dashboard.
A conversation about NCAA DI analytics with Nayan Patel - The Ice Garden
The world of women's hockey analytics is small, but growing. Over the past few years valuable contributions have been made from voices that are new to the space. Nayan Patel , Mikael Nahabedian , and Dave MacPherson are among a new wave of analysts who are making significant strides with DI women's hockey data.
In February, Patel gained recognition in the field for presenting a model for predicting the outcome of NCAA DI games at CBJHAC (the Columbus Blue Jackets hockey analytics conference). He works with both men's and women's DI data and shares his work through his site, HockeyUAnalytics.com . Patel's site puts interactive data visualizations for win shares, shot attempts, and more at the fingertips of fellow analysts, media members, players, teams, and fans.
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How Much Data Is Enough In Predictive Analytics? | Demand-Planning.com
If we can gain insights from just a small amount of internal structured data, then how much more could we glean from Big Data? I'm talking that external mass of structured and unstructured data that is just waiting to be collected and analyzed.
But there's a balance between not enough data and too much. What's the right amount of data to work with as demand planner or data scientist?
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Of course, larger datasets are more likely to have errors, and analysts don't always have time to carefully clean each and every data point. Mayer-Schönberger and Cukier have an intriguing response to this problem, saying that "moving into a world of big data will require us to change our thinking about the merits of exactitude. The obsession with exactness is an artifact of the information-deprived analog era."
data analytics: Unlock 1.0: How states are using data analytics to open up - The Economic Times
States are increasingly using data analytics and modelling studies to open up with limited risks as they begin to Unlock. ET's Nidhi Sharma explains how analytics firms are helping states and civic bodies in taking crucial decisions through data-backed decision support systems. Watch
Four Types of Analytics That Will Help You Succeed in 2020 | Inc.com
Regardless of the size of your business or what industry you're in, we've all become increasingly reliant on analytics. It's easy to understand why, as analytics has the ability to help you make better decisions , improve employee engagement , keep customers satisfied, streamline workflows, stay ahead of your competitors and bolster your bottom line.
But analytics can be overwhelming if you aren't staying on top of the latest trends. What you get out of data processes, after all, is only as good as what you put in. Investing in every type of analytics is an exhausting strain, but here are four types of analytics that I believe you need to pay close attention to if you want to succeed this year.
Elevating Your Analytics: A Guide for SEO Beginners
I’ve been working in SEO for longer than Google’s offered analytics, and I still find myself stumped at times, trying to think of how to best measure something.
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One can easily get overwhelmed and what’s worse, it’s easy to miss some important data points – often by simply not knowing how to access it or even that it exists.
Or as I like to think of it, not knowing the right questions to ask, because you don’t know how to frame it.
Happening on Twitter
.@Gartner_IT analyst Rita Sallam examines the top 10 #data and #analytics technology trends that can help data and… https://t.co/W8peXILlUw Gartner_inc (from Stamford, CT) Wed Jun 17 17:42:04 +0000 2020
Trend 1: Smarter, faster, more responsible #AI. Learn more about our top 10 trends in #data and #analytics for 2020… https://t.co/oCh361jsEx Gartner_inc (from Stamford, CT) Fri Jun 19 12:00:07 +0000 2020
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