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.