Data Analytics Write for Us, Contribute, and Submit Guest Post

Data Analytics Write for Us

Data analytics process of analyzing raw data to find trend and answer questions. It has broad scope across field. This process includes many techniques and goals that shift from industry to industry.

The data analytic process has components that help variety of initiative. By combining these components, successful data analytics initiative help answer business question related to historical trend, future prediction and decision-making.

What is the Role of Data Analytics?

Data analysts work at intersection of information technology, statistic and business. They combine these field to help businesses and organization succeed. A significant goal for data analyst is to increase efficiency and improve performance by discovering pattern in data.

Types of Data Analytics

There are four major types of data analytic:

  • Predictive (forecasting)
  • Descriptive (business intelligence and data mining)
  • Prescriptive (optimization and simulation)
  • Diagnostic analytics

Future Scope of Data Analytic

1. Retail

To study sales pattern, consumer behavior, and inventory management, data analytic applied in retail sector. Data analytics use by retailer to make data-driven decision regarding what product to stock, how to price them, and how to organize their store best.

2. Healthcare

Data analytics use to evaluate patient data, spot trend in patient health, and create individualized treatment program. Data analytic used by healthcare companies to enhance patient outcome and lower healthcare expenditures.

3. Finance

In finance, data analytics used to evaluate investment data, spot trends in financial markets, and make wise investment decisions. Financial institutions use it to lower risk and boost performance of investment portfolio.

4. Marketing

By analyzing customer data, spotting trend in consumer behavior, and creating customize marketing strategies, data analytics used in marketing. Data analytics can used by marketer to boost efficiency of campaigns and their overall impact.

How to Submit Your Guest Post?

To submit guest posts, please read through guidelines mentioned below. So, you can interact with us through website contact form or contact@technologyburner.com.

Write for Technology Burner – Data Analytics Write for Us

  • Writing for Technology Burner can expose your website to customer looking for Data Analytics.
  • Technology Burner presence is on Social media, and also we will share article with the Data Analytics-related audience.
  • Hence, you can reach out to Data Analytics enthusiasts.

Search Terms Related to Data Analytics Write for Us

process
custodians
information technology personnel
data cleansing
causation
information displays
bar chart
pie chart
exploratory data analysis
data visualization
correlation
cleansing
transforming
data mining
hypothesis
unstructured data
data integration
data visualization
raw data
iterative
business intelligence
exploratory data analysis
confirmatory data analysis

Search Terms for Data Analytics Write for Us

Data Analytics Write for Us
Guest Post Data Analytics Contribute
Data Analytics Submit Post
Submit Data Analytics Article
Data Analytics becomes a guest blogger
Wanted Data Analytics writers
Suggest a post-Data Analytics
Data Analytics guest author
Data Analytics writers wanted
Guest author Data Analytics

Article Guidelines on Technology Burner – Data Analytics Write for Us

We at Technology Burner welcome fresh and unique content related to Data Analytics.
Technology Burner allows minimum of 500+ words related to Data Analytics.
Editorial team of Technology Burner does not encourage promotional content related to Data Analytics.
To publish article at Technology Burner, email us at contact@technologyburner.com

Related Pages

Smart Technology write for us

write for us

Smart Glasses write for us

Electronics write for us

CCTV write for us

 Android write for us

Banking Write for us 

Space Technology write for us