Descriptive Analytics

Reports and Dashboards

Descriptive analytics is the traditional BI technique which provides

insights to the organization by summarizing the historical data in a

visualization layer (dashboard or report). This is the first step for the

organization to analyze the existing data. Descriptive analytics provide

information about what happened. For example, a retail organization can

see how various material groups have performed in the last 5 years; or a

hospital can check the ICU occupancy patterns by using descriptive



Data is getting generated and stored continuously in different data

systems such as ERP, CRM, eCommerce, etc. It is essential to gather all

these data in order to get a visualization platform which acts as a single

source of truth for the organization. Data aggregation from multiple data

sources, data mining methods, and visualization tools (e.g. bar chart, word

cloud, pie chart, tree maps, etc.) help in summarizing the data and identify

the patterns, and relationships that would not otherwise be visible.

Querying, reporting and visualization techniques help in attaining insights

from the raw data. 


The need to access Digital information by average non-technical users

(business users) is increasing in the organizations. Data democratization

is the need of the hour, where all the users of the organization can access

digital data without the intervention of IT. The modern-day visualization

platforms are getting more self-service oriented, which helps the business

users to create their own dashboards without much coding knowledge.

"Two people discussing about a graph at an office meeting"