Analytics, Data mining, Structured Data and Visualization

Analytics

Data mining

Structured Data

Visualization

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science

Data Science Data Analytics Prescriptive Analytics Analytics

What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. These systems are often paired with data mining to sift through databases to produce data content relationships.

Data mining

Data mining Data-driven Statistics OLAP

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

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Text Analytics – Understanding the Voice of Consumers

BizAcuity

OCTOBER 21, 2019

Over the decade’s Hospitality Industry wings expand to the new horizon due to the widespread usage of mobiles which allows customers to plan the vacation & visualize the ambiance at their fingertips. Text analytics helps to draw the insights from the unstructured data. . Decoding online reviews through analytics.

Analytics

Analytics Unstructured Data Data mining Structured Data

Webinars

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

MORE WEBINARS

Text Analytics – Understanding the Voice of Consumers

BizAcuity

OCTOBER 21, 2019

Analytics

Analytics Unstructured Data Data mining Structured Data

Understanding Structured and Unstructured Data

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data

Unstructured Data Data Warehouse Structured Data Data mining

Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: NLG is a software process that transforms structured data into human-language content. See [link].

Internet of Things

Internet of Things Machine Learning Manufacturing IoT

5 Pain Points of Moving Data to the Cloud and Strategies for Success

Alation

JULY 13, 2021

Accompanying this acceleration is the increasing complexity of data. Many organizations continue to handle structured data, transactional data, and log data. Complex data management is on the rise. The Five Pain Points of Moving Data to the Cloud. runs Advanced Analytics at TDWI.

Strategy

Strategy Data mining Structured Data Data Governance

What is data governance? Best practices for managing data assets

CIO Business Intelligence

MARCH 24, 2023

SAS Data Management Built on the SAS platform, SAS Data Management provides a role-based GUI for managing processes and includes an integrated business glossary, SAS and third-party metadata management, and lineage visualization. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance

Data Governance Management Metadata Data Quality

Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data.

Data mining

Data mining Machine Learning Deep Learning Marketing

Transforming Big Data into Actionable Intelligence

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data

Big Data IoT Data Warehouse Data-driven

Business Intelligence Solutions: Every Thing You Need to Know

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. All BI software capabilities, functionalities, and features focus on data.

Business Intelligence

Business Intelligence OLAP Data mining Visualization

15 Best Data Analysis Tools You Can’t Miss in 2022

FineReport

JULY 18, 2022

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. Finally, the budget can not be ignored.

Forecasting

Forecasting Dashboards Visualization Statistics

Create a Value Blizzard with Snowflake and Microsoft Azure

CDW Research Hub

DECEMBER 4, 2019

Cloud-based data warehouses can also perform complex analytical queries much faster due to the use of massively parallel processing (MPP), which uses multiple processors—each with its own operating system and memory—to simultaneously perform a set of coordinated computations.

Data Warehouse

Data Warehouse Data mining Data Lake Dashboards

Building Better Data Models to Unlock Next-Level Intelligence

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. But this was only the tip of the analytics iceberg.

Modeling

Modeling Big Data IoT Data Warehouse

Data Leaders Brief

Data science vs data analytics: Unpacking the differences

What are decision support systems? Sifting data for better business decisions

Webinars

Trending Sources

Text Analytics – Understanding the Voice of Consumers

Webinars

Text Analytics – Understanding the Voice of Consumers

Understanding Structured and Unstructured Data

Glossary of Digital Terminology for Career Relevance

5 Pain Points of Moving Data to the Cloud and Strategies for Success

What is data governance? Best practices for managing data assets

Leveraging user-generated social media content with text-mining examples

Transforming Big Data into Actionable Intelligence

Business Intelligence Solutions: Every Thing You Need to Know

15 Best Data Analysis Tools You Can’t Miss in 2022

Create a Value Blizzard with Snowflake and Microsoft Azure

Building Better Data Models to Unlock Next-Level Intelligence

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