Smart Data Collective

OCTOBER 31, 2021

Analytics technology is incredibly important in almost every facet of business. Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others. The e-commerce sector is among those that has relied most heavily on analytics technology.

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Analytics Data mining Analytics Technologies Predictive Analytics 133

Smart Data Collective

AUGUST 11, 2022

Data analytics technology has become very important for helping companies manage their financial strategies. Companies are projected to spend nearly $12 billion on financial analytics services by 2028. There are many great benefits of using data analytics to improve financial management strategies.

Data Analytics 128

Data Analytics Optimization Analytics Cost-Benefit 128

CIO Business Intelligence

JUNE 14, 2023

AWS Certified Data Analytics The AWS Certified Data Analytics – Specialty certification is intended for candidates with experience and expertise working with AWS to design, build, secure, and maintain analytics solutions. Careers, Certifications, Data Mining, Data Science

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

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Smart Data Collective

OCTOBER 12, 2022

Data analytics technology has proven to be very useful for the real estate sector. A report by McKinsey shows that a growing number of real estate professionals are leveraging big data to improve sales and customer satisfaction. Fortunately, a number of data analytics tools can be very helpful here.

Marketing 133

Marketing Data Analytics Analytics Big Data 133

Grooper

AUGUST 19, 2019

They're the insights needed for better decision making, and they start with the business, not with the data. It's not about the technology - or solving the data silo problem. Business Focus is Required for Success with Transformative Analytics Technologies. Increasing data literacy is the answer.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54