Data Visualization: Why Does It Matter in Businesses?

February 9, 2022

Learn data, and you can tell stories that more people don’t even know about yet but are eager to hear Data visualization helps to understand trends, outliers, and patterns in data. Data visualization tools help managers find information 28% faster.

Spotlight

CrowdFlower Inc.

CrowdFlower is the essential human-in-the-loop platform for data science teams. CrowdFlower helps customers generate high quality customized training data for their machine learning initiatives, or automate a business process with easy-to-deploy models and integrated human-in-the-loop workflows. The CrowdFlower platform supports a wide range of use cases including self-driving cars, intelligent personal assistants, medical image labeling, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance.

Other Infographics

8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

Infographic | February 12, 2021

Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.

5 Biggest Enterprise Data Science Trends to Unlock Success in 2022

Infographic | June 1, 2022

Data science is a powerful source of innovation and business value.

Ai in Manufacturing

Infographic | December 16, 2019

AI enables organization to optimize product availability by decreasing out of stocks and spoilage. AI can also help with getting a better understanding of sales patterns. AI enables organizations to expediate product development and R&D by reducing the test times and driving more concrete insights from customer data and demands

Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

Maximize the value of your data

Infographic | October 1, 2021

Some of the top benefits organizations saw from machine learning include lower costs, improved workforce productivity, increased sales, and much more. Red Hat and Intel can help you quickly tap into these benefits from one unified platform that focuses on pulling value from data with AI and analytics.

Data Architecture

Data Visualization: Why Does It Matter in Businesses?