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What-If Scenario
It is a process of changing the
values in the cells
 to see how those changes will
affect the outcome
 of formulas on the sheet.
What-If Tools
It is similar to What-If tools but
the main advantage is that with
this we can work with multiple
values.
Goal Seek
It helps to find out the inputs that
lead to a particular output.
Solver
Solver is a more elaborate form of this
tool, where multiple inputs and
outputs are possible.
Solver deals with the equations with
multiple unknown variables.
Consolidating Data
It means combining data from
different sources into one place.
It helps you collate with minimal
efforts.
Creating Subtotals
It is used for generating subtotals
to summarise data.
It helps to manage, analyse and
extract specific information from
the rows of related data.
Ex-MySQL, Oracle, Access
Advantages of Database
 Reduces data redundancy
 Sharing of data
 Data Consistency
 Data Integrity
 Data Security
 Backup and Recovery
 Enforcement of Data Standards
10 class.pptx
10 class.pptx
10 class.pptx
10 class.pptx
10 class.pptx
10 class.pptx
10 class.pptx

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10 class.pptx

  • 1. What-If Scenario It is a process of changing the values in the cells  to see how those changes will affect the outcome  of formulas on the sheet.
  • 2. What-If Tools It is similar to What-If tools but the main advantage is that with this we can work with multiple values.
  • 3. Goal Seek It helps to find out the inputs that lead to a particular output.
  • 4. Solver Solver is a more elaborate form of this tool, where multiple inputs and outputs are possible. Solver deals with the equations with multiple unknown variables.
  • 5. Consolidating Data It means combining data from different sources into one place. It helps you collate with minimal efforts.
  • 6. Creating Subtotals It is used for generating subtotals to summarise data. It helps to manage, analyse and extract specific information from the rows of related data.
  • 7.
  • 9.
  • 10. Advantages of Database  Reduces data redundancy  Sharing of data  Data Consistency  Data Integrity  Data Security  Backup and Recovery  Enforcement of Data Standards