BizAcuity

OCTOBER 21, 2019

Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. into structured data to develop actionable managerial insights to enhance their operations. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. One of the biggest challenges is collecting the data.

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 55

Machine Learning Data Science Statistics Deep Learning 55

FineReport

APRIL 26, 2023

As the world becomes increasingly digitized, the amount of data being generated on a daily basis is growing at an unprecedented rate. This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. Enables Predictive Analytics on data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

datapine

MARCH 31, 2022

To help you improve your business intelligence engineer resume, or as it’s sometimes referred to, ‘resume BI engineer’, you should explore this BI resume example for guidance that will help your application get noticed by potential employers. BI Project Manager. SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

datapine

MAY 14, 2019

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. A top data science book for anyone wrestling with Python. Hands down one of the best books for data science.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. Business Analytics is One Part of Business Intelligence.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

BizAcuity

MARCH 31, 2022

With the massive influx of big data, several businesses use AI platforms to help save costs in a number of ways including automating certain procedures, speeding up key activities among others. Artificial Intelligence Analytics. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Grooper

AUGUST 19, 2019

These requirements include fluency in: Analytical models. Data science skills. Technology – i.e. data mining, predictive analytics, and statistics. Best practices for exploring collected data. Data is crucial to the success of business analytics. Machine Learning and Data Science.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

that gathers data from many sources. All of the above points to embedded analytics being not just the trendy route but the essential one. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52