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Reflecting on the Past Decade in Analytics

DataRobot Blog

From what I can remember, in-memory analytics, mobile BI, OLAP cubes and easier to use drag-and-drop analytics tools got all the buzz. by Jen Underwood. What was hot and what was not? Read More.

OLAP 85
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12 Jobs That Are Booming in the Age of Big Data

Smart Data Collective

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. It is going to continue to change the workforce in the process. Robotic Engineer.

Big Data 127
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An Overview of Sales Analytics in Event Industry

BizAcuity

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC.

Sales 67
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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. MongoDB MongoDB, which gained popularity in 2010, is a NoSQL document-oriented database platform that is free and open-source.

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Five Sweet Web Analytics Resolutions To Kick It Up A Notch

Occam's Razor

Change is hard, even if we know that we should be executing a multiplicity strategy to win in the web analytics 2.0 Before all the excitement of the new year wears out, here are five simple things I would love for you to try so that your company will have a glorious truly data driven 2010! #1: 1: Don't suck. Seems obvious.

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How Big Data is Changing the Internet Experience for Average Consumers

Smart Data Collective

A Gallup poll conducted back in 2010 found that most Internet users were willing to pay for online privacy. These benefits include the following: Improving Internet security by using new threat scoring models that are dependent on predictive analytics. There are a number of benefits of machine learning with websites.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

The 1990s also saw Manchester United adopt analytics and become a dominant force in English and European football. It’s no surprise that rivals followed suit and that by 2010 analytics were widely used by top teams in leading international leagues. Enhanced coaching: Real-time data and predictive analytics.