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Analytics Write For Us, Guest Post, Contribute, and Submit Post

Analytics Write For Us

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Analytics is the science of information gathering. It is a collection of computer-based methods to process and receive data. So, Information can be analyzed afterward. The most technical aspect of analytics, which is the main field of business in the digital world, is web analytics. Here, the facts that describe the characteristics of the users serve as the raw material.

Analytics is a science that is based on the analysis of Information. Additionally, various analytical tools enable more practical and understandable analysis and reporting, and Analytics facilitates the analysis of the raw data.

Types of Analytics

Business Analytics

In business management, business analytics is a crucial management methodology. Analyzing the company’s strengths and shortcomings offers tremendous value, increasing the possibility of the business achieving its goals.

Data Analytics

The science of data analytics is in charge of analyzing a data set. And last, to conclude the data to make choices or gain more Information.

Google Analytics

You can track websites, blogs, and social networks with Google Analytics. Additionally, it offers you configurable and default reports. The Wikipedia entry for Analytics states it “provides categorized Information on the traffic. The audience determines the website traffic, the purchase, the user’s behavior, and the conversions made there.

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Enterprise decision management

Business Analytics

Operations research

Data Analytics

Business Data

Predictive Analytics

Marketing optimization

prescriptive analytics

store assortment

descriptive analytics

stock-keeping unit optimization

cognitive analytics

sales force sizing and optimization

Big Data Analytics

Data Mining

People analytics

Text Mining

Portfolio analytics

Logistic Regression

Risk analytics

predictive modeling

Digital Analytics

customer segmentation

marketing experimentation

Software analytics

Web analytics

marketing campaigns

HR analytics

customer retention

workforce analytics

customer satisfaction

HRIS analytics


Big Data

Business Intelligence

Structured Data

Artificial Intelligence

Complex event processing

Analytic applications

Data presentation architecture

Cloud analytics

Operational reporting

Visual analytics

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