Smart Data Collective

MAY 21, 2021

New advances in data analytics and a wealth of outsourcing opportunities have contributed. Shrewd software developers are finding ways to integrate data analytics technology into their outsourcing strategies. Big data can play a surprisingly important role with the conception of your documents.

Software 100

Software Data Analytics Analytics Data mining 100

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.

Analytics 109

Analytics Data mining Analytics Technologies Sales 109

Smart Data Collective

NOVEMBER 10, 2021

One of the most important changes you can make is using data analytics technology to choose the best possible policy. It might not make a massive difference to your bottom line, but let’s look at some things you can do to save money on insurance with data analytics. Bundling Up Your Policies.

Insurance 121

Insurance Analytics Big Data Data mining 121

Smart Data Collective

FEBRUARY 9, 2022

Analytics technology has become an invaluable aspect of modern financial trading. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Allows creating 3D charts for an easy study of trading Algos.

Visualization 134

Visualization Optimization Analytics Testing 134

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.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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