analytics services 2013

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Analytics Services 2013

Understand Your Data

We are here to help you on every step of the way

Extract & Process Data 2Analyze using

Statistical Tools 3Share YourHypothesis &

Finding

Get maximum out of your data

Modify *Manipulate *

Analyze *Extract Information *

Prove your assumptions *

1

Dat

a H

andl

ing

Tech

niqu

es Extraction of data in desired format Cleansing of data in order to remove

disturbances Required modification to make data more

scientifical Required manipulation to create dummy

variable to make data interpretation more easy

Correct selection of variables and records to make analysis fruitful

Loading to data to a system which is easily accessible to end user

2 Extract meaningful information from data

Source *Format *

Tools *Techniques *

Experiment Methods *

IBM SPSSQuantumSTATAEviews

Different Statistical Tools

… and many more.

MinitabSASMS ExcelSawtooth

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

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.

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

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

Correlation

• Correlation refers to dependence in statistics• Different types of correlations

– Pearson’s correlation coefficient– Rank correlation coefficient– Cross correlation– Auto correlation

Factor Analysis

• Used to describe variability in variables/factors

• Type of factor analysis– Exploratory factor analysis (EFA)– Confirmatory factor analysis (CFA)

Regression Analysis

• Used for estimating the relationships among variables

• Type of regression– Simple regression– Polynomial regression– Multiple regression– Ridge regression– Non-linear regression

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

3 Share in best visual formats

Tables *Charts *

Dashboard *Graphs *

Presentation *

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

» Check out the Dashboard developed in Excel

» Access your data wherever you need them without any statistician

Access Anywhere

… converting thoughts to reality.ANALYTICS SERVICES 2013