#Data Science

Kinds of Data from

### Known Data (type 1)
Encompassed in daily, weekly, and monthly reports that are used for monitoring activity, these reports provide the basic context used to inform discussion and frame questions. Type 1 reports aren’t intended to answer questions. Their purpose is to provide visibility of operations.
### Data You Know You Need to Know (type 2)
Once patterns and outliers emerge in type 1 data the question that naturally
follows is: why is this happening? People need to understand the cause of the
outliers so that action can be taken. Traditional reporting tools provide a good
framework to answer this type of query as long as the question is anticipated
in the design of the report.
### Data You Don’t Know You Need to Know (type 3)
By interacting with data in real-time while using appropriate visual analytics,
Tableau provides the possibility of seeing patterns and outliers that are not visible
in type 1 and type 2 reports. The process of interacting with granular data
yields different questions that can lead to new actionable insights. Software
that enables quick-iterative analysis and reporting is becoming a necessary
element of effective business information systems.
Distributing type 1 reports in a timely manner is important, but speed in the
design and build stage of type 1 reports are also important when a new Type 1
report is created. To effectively enable Type 2 and 3 analyses the reporting
tool must adapt quickly to ad hoc queries and present the data in intuitively
understandable ways.