CIO Business Intelligence

MAY 7, 2024

When it broke onto the IT scene, Big Data was a big deal. Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. Data is the cement that paves the AI value road. Data is data.

Big Data 131

Big Data Statistics Machine Learning Data Science 131

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 131

Testing Behavioral Analytics Data-driven Big Data 131

The Unofficial Google Data Science Blog

MARCH 31, 2016

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. ICML, (2005). [3] 2005): 301-320. [9]

Modeling 40

Modeling Statistics Advertising Testing 40

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Computerworld – Gartner: Customer-service outsourcing often fails , Scarlet Pruitt, March 2005. Here we come back to the upward trend in searches for Data Science.

Cost-Benefit 55

Cost-Benefit Data Warehouse Data Science Consulting 55

Rita Sallam

JULY 22, 2016

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. Sisense supports a wide range of relational, NoSQL and big data sources.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109