2. What is Excel ?
Microsoft Excel is a spreadsheet program which
allows one to enter numerical values or data into
the rows or columns of a spreadsheet, and to use
these numerical entries for such things as
calculations, graphs, and statistical analysis.
3. Why to use Excel ?
(Very Basic)
Using Excel as a calculator
The calculator can be pre-constructed
Graphically displaying equations (analytical
models) and real data
Graphically comparing results from a model and
observations
4. Excel used for Business:
• allows you to store customer data in a very flexible format.
Customer Data
• Excel's easy-to-use data entry tools make it a great choice for
month-to-month accounting.
Basic Accounting and Financials
Employee Scheduling
• Beyond record-keeping, Excel allows businesses to organize data
into charts and graphs for business reports or presentations
Sales and Projections
Return On Investment
5. Reasons Why Business
fail :- Role of Excel
Insufficient Capital
• Financial and Budgeting Modeling
• Product Pricing Comparison
Chronic Negative Cash Flow
• Cash Flow Forecasting
• Profit and Loss Statement and Analysis
Lack of Labor
• Collate & email reports
• Gather Data from Internet
Lack of Management
• Excel can help business owners organize everything from finances to
inventory to marketing
No Sales
• Forecast Sales Model
6. Analytics Execution Methodology
Business
Objectives
Data
Study
Data
Preparation
Analysis &
Modeling
Evaluation
Reporting &
Deployment
Determine
business
objectives
Assess
situation
Determine
data mining
goals
Produce
project plan
Collect initial
data
Describe
data
Explore data
Verify data
quality
Select data
Clean data
Construct
data
Integrate data
Format data
Select
analysis /
modeling
technique
Generate test
design
Build model
Assess model
Evaluate
results
Review
process
Determine
next steps
Plan
deployment
Plan monitoring
and
maintenance
Produce final
report
Review project
Domain expert
finalizes
objectives with
client
Analysts use
data mining
software to
integrate and
understand
relevant data
Complex data
cleansing
algorithms used
to collate all
relevant data
into an
analytical data
mart.
Statisticians select
techniques) based
on hypothesis.
Business consultants
and analysts
collaborate to
unearth key drivers
and forecast key
business indicators.
The solutions are
evaluated and
validated by the
business users and
practice head.
The solutions are
integrated with
the relevant
business
processes.
We us the industry standard CRoss Industry Standard Process for Data Mining
(CRISP-DM) for developing and deploying our solutions
7. Major Versions of Excel:
1985
1987
(Window
Version
)
1992
(Popular
version)
1993
(multi
sheet &
VBA)
1997
(New
interface
for VBA)
8. Data Cleaning
Home Tab+ Data Tab
Data Processing
Data Tab+ Formula Tab
Information Gathering
Formula Tab+ Developer
Tab
Presentation
Insert Tab+ Page layout
Tab+ View Tab + Review
Tab
