2. Understand Your Data
We are here to help you on every step of the way
Extract &
Process Data
Analyze using
Statistical
Tools
Share Your
Hypothesis &
Finding
3. Get maximum out of your
data
Modify *
Manipulate *
Analyze *
Extract Information *
Prove your assumptions *
7. Statistical Techniques
Basic Analytical Techniques
Frequencies
Mean, Median, Mode
Different Mean
Variances
Hypothetical Tests
Cross tabulations
Top lines
Advance Analytical
Techniques
Regression
Correlation
Factor Analysis
Component Analysis
Cluster Analysis
Discriminant Analysis
Gap Analysis
8. It’s not just limited to list mentioned in this slides, but we are capable of
Doing any type of statistical
analysis in any tool.
9. Analysis of Variance (ANOVA)
• Used to analyze variances
• Used to analyze the differences between
group means
• Types of ANOVA
– One-way ANOVA
– Factorial ANOVA
– Repeated measures ANOVA
– MANOVA
10. Chi-Square Test
• Statistical Hypothesis test for chi-squared
distribution
• Some chi-square tests are
– Pearson’s chi-squared test
– Yate’s chi-squared test
– Chochran-Mantel-Haenszal’s chi-squared test
– McNemar’s test
11. Correlation
• Correlation refers to dependence in statistics
• Different types of correlations
– Pearson’s correlation coefficient
– Rank correlation coefficient
– Cross correlation
– Auto correlation
12. Factor Analysis
• Used to describe variability in
variables/factors
• Type of factor analysis
– Exploratory factor analysis (EFA)
– Confirmatory factor analysis (CFA)
13. Regression Analysis
• Used for estimating the relationships among
variables
• Type of regression
– Simple regression
– Polynomial regression
– Multiple regression
– Ridge regression
– Non-linear regression
14. Time Series Analysis
• Analysis of data in order against time
• Time series analysis used for
– Exploratory analysis
– Prediction and forecasting
– Classification
– Regression analysis
– Signal estimation
– Segmentation
15. Share in best visual
formats
Tables *
Charts *
Dashboard *
Graphs *
Presentation *
16. Sharing the dashboards in common used
applications both statics and dynamic.
Statics & Dynamic dashboards both online
and offline.
It’s help analyzing the data on real time, and
getting results whenever needed on just few
clicks.
Dashboards
17. » Check out the
Dashboard developed in Excel
» Access your data wherever you need them without any
statistician
Access Anywhere