BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . Text mining is also referred to as text analytics, is the process of deriving high -quality information from text. High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning.

Analytics 73

Analytics Data mining Unstructured Data Structured Data 73

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

JUNE 30, 2020

Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. Data visualization is used to make the consuming, interpreting, and understanding data as simple as possible, and to make it easier to derive insights from data.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text. High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning.

Analytics 40

Analytics Data mining Unstructured Data Structured Data 40

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Rita Sallam

JULY 22, 2016

Summary of Differences Between Traditional and Modern Business Intelligence Platforms by Analytic Workflow Component. Q2: Would you consider Sisense better than others in handling big and unstructured data? Q4: Are we going to discuss Predictive types of Analytics in this discussion?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. " I don't think so.

Big Data 128

Big Data Data-driven Unstructured Data Marketing 128

Grooper

AUGUST 19, 2019

Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Business Analytics. Business analytics is a focus on practical requirements needed for understanding current performance and for predicting future outcomes. Data science skills.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. Its a symptom of needing one.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78