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Gmid Associates: R
Capabilities
Business Analytics unraveled
Service Offerings
Industries
BFSI
Telecom
Retail & FMCG
Automotive
Telecom
Manufacturing
Travel & Hospitality
Areas of Expertise
Campaign Management
Cross/Up Selling
Fraud Detection
Credit Scoring/Risk
Claims Analysis
Sensitivity Analysis
Customer Loyalty
Segmentation
Customer
Satisfaction
POS Analysis
Market Basket
Analysis
Demand
Forecasting
Brand Analysis
OurOfferings
Marketing Analytics
Risk Analytics
Supply Chain Analytics
© Gmid Associates Business Analytics unraveled
Gmid Associates combines in-depth industry knowledge, advanced analytics, and technology to deliver solutions that
enable our clients take better business decisions. Using techniques in statistics, econometrics, and operations research
we help embed Data Driven capabilities into the decision making processes of our customers.
Technical Capabilities
Technical Capabilities:
Statistical and Mathematical tools: SAS, SPSS Modeler, R, MATLAB
Analytical Techniques: Statistical analysis, predictive modeling, clustering, decision tree, customer segmentation, forecasting and
simulation, response optimization, risk and decision analysis etc.
Statistical Procedures: Conjoint Analysis, factor analysis, discriminate Analysis, regression Analysis(linear Regression, logistic
regression, generalized linear model, multivariate and univariate analysis), Time-series, association rules etc.
Databases: Oracle, DB2, SQL server, MS Access
Reporting Tools: MS Excel, VBA automation, PowerPoint
© Gmid Associates Business Analytics unraveled
R Analytics Experience
Team Gmid has expert level R programmers as well as analysts with considerable data mining experience on various R
packages. Some of the techniques that our team has implemented using standard R packages are following-
Clustering and Segmentation: Hierarchical Cluster Analysis and K-means clustering among other clustering and segmentation
tools
Classification Techniques: Logistic Regression, Recursive Partitioning and Regression Trees, Support Vector Machines, Rule
based classification etc.
Ensemble Classifiers: Stochastic Boosting, Random Forests Classification and Regression.
© Gmid Associates Business Analytics unraveled
R Case Study: Segmentation & Clustering
We executed a segmentation schemes for our client to have more targeted communication with the payment delinquent
customers. Techniques in statistical clustering and segmentation were employed to group ‘identical customers’ from a
pool of customer population.
Figure 3.2: Results of a Segmentation Analysis conducted by Gmid Associates demonstrating effectiveness of clusters differing significantly by
the number of ‘bad’ customers within them.
R Case Study: Predictive Modeling
Gmid Associates has developed predictive models and scorecards for many business functions across industries.
Using R programming packages, we have developed Fraud Detection Scorecards, Cross-sell Models, Credit Risk
Scorecards etc. Below is an Infographic on a Customer Churn Modeling exercise we undertook for one of the world’s
leading Telcos.
Fig ure 3. 3: Defining the Churn Framework
Fig ure 3. 4:
Results of a
Churn Analysis
conducted by
Gmid Associates.
10% population
captures 63%
customers who
deactivated their
subscription –
ideal scenario for
retention efforts.
© Gmid Associates Business Analytics unraveled
OurTeam
As Jim Collin's in his book, Good To Great rightly put it, "the rig ht pe o ple are a co m pany's g re ate st asse ts".
Gmid Associates has been fortunate enough to have a great team of professionals best suited for all your knowledge
based requirements.
Team Gmid comprises of PhD’s, Statisticians, Business And Financial Analysts, Management and Science Graduates
and Technology professionals to provide customers a comprehensive solution that work all the time.
TeamProfiles:
M.Sc. (Statistics), IIT Kanpur, India
B.Tech. IIT Kanpur/ Delhi/ Kharagpur India
PGDBM/MBA (Finance) from XLRI, Jamshedpur, India
PGDBM/MBA (Marketing) from XIME, Bangalore, India
MS (Marketing)
M.Sc (Mathematics)
Masters in Mathematics, Statistics, Economics
B.A Economics (Hons)
TeamComposition
* SME* (Subject Matter Expert): Masters with decades of
industry / consulting experience
*Statistician* : MS in Statistics; years of working
experience in applied statistical problems with expertise in
statistical software
* Stat-programmer* : BE/B.Sc ; Statistical & quantitative
experience; with experienced in SAS and other statistical
packages
* Research Analysts* : MBA/M.COM /B.COM/B.A (Eco);
with years of relevant research experience ; research
papers in Publications and journals© Gmid Associates Business Analytics unraveled
Contact Gmid Associates
Mudit Chandra
Sales and Marketing Head
Dir: +91 98107 96148
Email: mudit.chandra@thegmid.com
For general enquiries you could also send us an email at enquiries@thegmid.com orfill in the Contact Us format
www.thegmid.com
© Gmid Associates Business Analytics unraveled

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Gmid associates r capability deck

  • 2. Service Offerings Industries BFSI Telecom Retail & FMCG Automotive Telecom Manufacturing Travel & Hospitality Areas of Expertise Campaign Management Cross/Up Selling Fraud Detection Credit Scoring/Risk Claims Analysis Sensitivity Analysis Customer Loyalty Segmentation Customer Satisfaction POS Analysis Market Basket Analysis Demand Forecasting Brand Analysis OurOfferings Marketing Analytics Risk Analytics Supply Chain Analytics © Gmid Associates Business Analytics unraveled Gmid Associates combines in-depth industry knowledge, advanced analytics, and technology to deliver solutions that enable our clients take better business decisions. Using techniques in statistics, econometrics, and operations research we help embed Data Driven capabilities into the decision making processes of our customers.
  • 3. Technical Capabilities Technical Capabilities: Statistical and Mathematical tools: SAS, SPSS Modeler, R, MATLAB Analytical Techniques: Statistical analysis, predictive modeling, clustering, decision tree, customer segmentation, forecasting and simulation, response optimization, risk and decision analysis etc. Statistical Procedures: Conjoint Analysis, factor analysis, discriminate Analysis, regression Analysis(linear Regression, logistic regression, generalized linear model, multivariate and univariate analysis), Time-series, association rules etc. Databases: Oracle, DB2, SQL server, MS Access Reporting Tools: MS Excel, VBA automation, PowerPoint © Gmid Associates Business Analytics unraveled
  • 4. R Analytics Experience Team Gmid has expert level R programmers as well as analysts with considerable data mining experience on various R packages. Some of the techniques that our team has implemented using standard R packages are following- Clustering and Segmentation: Hierarchical Cluster Analysis and K-means clustering among other clustering and segmentation tools Classification Techniques: Logistic Regression, Recursive Partitioning and Regression Trees, Support Vector Machines, Rule based classification etc. Ensemble Classifiers: Stochastic Boosting, Random Forests Classification and Regression. © Gmid Associates Business Analytics unraveled
  • 5. R Case Study: Segmentation & Clustering We executed a segmentation schemes for our client to have more targeted communication with the payment delinquent customers. Techniques in statistical clustering and segmentation were employed to group ‘identical customers’ from a pool of customer population. Figure 3.2: Results of a Segmentation Analysis conducted by Gmid Associates demonstrating effectiveness of clusters differing significantly by the number of ‘bad’ customers within them.
  • 6. R Case Study: Predictive Modeling Gmid Associates has developed predictive models and scorecards for many business functions across industries. Using R programming packages, we have developed Fraud Detection Scorecards, Cross-sell Models, Credit Risk Scorecards etc. Below is an Infographic on a Customer Churn Modeling exercise we undertook for one of the world’s leading Telcos. Fig ure 3. 3: Defining the Churn Framework Fig ure 3. 4: Results of a Churn Analysis conducted by Gmid Associates. 10% population captures 63% customers who deactivated their subscription – ideal scenario for retention efforts. © Gmid Associates Business Analytics unraveled
  • 7. OurTeam As Jim Collin's in his book, Good To Great rightly put it, "the rig ht pe o ple are a co m pany's g re ate st asse ts". Gmid Associates has been fortunate enough to have a great team of professionals best suited for all your knowledge based requirements. Team Gmid comprises of PhD’s, Statisticians, Business And Financial Analysts, Management and Science Graduates and Technology professionals to provide customers a comprehensive solution that work all the time. TeamProfiles: M.Sc. (Statistics), IIT Kanpur, India B.Tech. IIT Kanpur/ Delhi/ Kharagpur India PGDBM/MBA (Finance) from XLRI, Jamshedpur, India PGDBM/MBA (Marketing) from XIME, Bangalore, India MS (Marketing) M.Sc (Mathematics) Masters in Mathematics, Statistics, Economics B.A Economics (Hons) TeamComposition * SME* (Subject Matter Expert): Masters with decades of industry / consulting experience *Statistician* : MS in Statistics; years of working experience in applied statistical problems with expertise in statistical software * Stat-programmer* : BE/B.Sc ; Statistical & quantitative experience; with experienced in SAS and other statistical packages * Research Analysts* : MBA/M.COM /B.COM/B.A (Eco); with years of relevant research experience ; research papers in Publications and journals© Gmid Associates Business Analytics unraveled
  • 8. Contact Gmid Associates Mudit Chandra Sales and Marketing Head Dir: +91 98107 96148 Email: mudit.chandra@thegmid.com For general enquiries you could also send us an email at enquiries@thegmid.com orfill in the Contact Us format www.thegmid.com © Gmid Associates Business Analytics unraveled