Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. Examples include customer reviews, social media posts, medical records, and bank records. One thing that they need to do is collect data their business needs.

Big Data 207

Big Data Data Mining Banking Digital 207

Smart Data Collective

MARCH 30, 2022

They can use data on online user engagement to optimize their business models. They are able to utilize Hadoop-based data mining tools to improve their market research capabilities and develop better products. Companies that use big data analytics can increase their profitability by 8% on average.

E-Commerce 302

E-Commerce Banking Big Data Finance 302

Smart Data Collective

APRIL 8, 2020

This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Data warehousing also facilitates easier data mining, which is the identification of patterns within the data which can then be used to drive higher profits and sales.

Data Warehouse 339

Data Warehouse Big Data Business Intelligence Business Intelligence 339

Smart Data Collective

FEBRUARY 4, 2021

Companies are discovering the countless benefits of using big data as they strive to keep their operations lean. Big data technology has made it a lot easier to maintain a decent profit margin as they try to keep their heads above water during a horrific economic downturn. Do you know the best part?

Data Analytics 354

Data Analytics Data Analytics Big Data Banking 354

Smart Data Collective

JULY 8, 2021

However, they should not be passive about waiting for their bank, insurance company or other financial institution to advise them about new technology that can assist them. A surprising four out of five financial professionals believe big data and AI is upending their business models. This will help you save money.

Artificial Intelligence 359

Artificial Intelligence Finance Banking Data Mining 359

Smart Data Collective

SEPTEMBER 2, 2021

New advances in data analytics and data mining tools have been incredibly important in many organizations. We have talked extensively about the benefits of using data technology in the context of marketing and finance. However, big data can also be invaluable when it comes to operations management as well.

Retail 270

Retail Big Data Data Analytics Data Analytics 270

The BAWorld

NOVEMBER 5, 2024

500 terabytes of data daily. These mind-boggling figures has given rise to the term “Big Data” and “Big Data Analytics” Some other post for “Big Data”!! Making sense of the data in its raw format will be extremely difficult.

Big Data 98

Big Data Data Mining Data Analytics Data Analytics 98

BizAcuity

APRIL 28, 2019

According to a Federal Bank report, more than $600 billion of household debt in the U.S. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. is delinquent as of June 30th, 2017.

Predictive Analytics 246

Predictive Analytics Artificial Intelligence Big Data Data Mining 246

Smart Data Collective

SEPTEMBER 26, 2019

Most ordinary people had to settle for a savings account at their local bank while some even opted to simply put their savings under their mattress. Big Data and Its Impact. One of the main changes in the investment industry in the last few years has been the proliferation of big data.

Finance 206

Finance Big Data Data Mining Retail 206

BizAcuity

MARCH 31, 2022

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Source: Gartner Research). Source: TCS).

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. Use cases of data science.

E-Commerce 263

E-Commerce Cloud Computing Big Data Data Modelling 263

Astera

APRIL 13, 2023

It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. Let’s discuss what is a data warehouse, understand its processes, concepts, and benefits, and explore different types of data warehousing.

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Marutitech

DECEMBER 17, 2021

A predictive analytics model is revised regularly to incorporate the changes in the underlying data. That’s one of the reasons why banks and stock markets use such predictive analytics models to identify the future risks or to accept or decline the user request instantly based on predictions. . Top 5 Predictive Analytics Models.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140