IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

OCTOBER 13, 2023

Established and emerging data technologies: Data architects need to understand established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . The overarching goal is, essentially, to turn text into data for analysis, via the application of natural language processing (NLP) and analytical methods.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Smart Data Collective

OCTOBER 20, 2020

Some of these were addressed in the Data Driven Summit 2018. Benefits include: Using data analytics to better identify your target audience Developing a stronger competitive advantage Forecasting trends with predictive analytics to anticipate future market demand. There is no need to hire expensive data analysts.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. The overarching goal is, essentially, to turn text into data for analysis, via the application of natural language processing (NLP) and analytical methods.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60