Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. Yet, these professions will remain on the market.

Big Data 127

Big Data Advertising Internet of Things Marketing 127

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

BizAcuity

FEBRUARY 15, 2019

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

Sales Analytics ROI B2B 67

Smart Data Collective

JANUARY 13, 2021

Big data has started to change the world in a lot of ways. quintillion bytes of data every single day. As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree.

Big Data 86

Big Data Machine Learning Data-driven Manufacturing 86

Sisense

JUNE 9, 2021

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. These developments have added a whole new dimension to data analysis.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Jim Harris

JULY 13, 2015

Indeed, I can’t recall a single person who claimed high-quality data wasn’t important. This led me to conclude, by about 2000, that apathy was the number one enemy of data quality. An Ongoing Market Scan. As my interests expanded beyond quality, I expanded the scope of my scan to all things data. The Data D.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56