TRAINING GAINING CUSTOMER INSIGHT THROUGH DATA MINING
Training Customer Relationship Management
Training Pengenalan Gaining Customer Insight Through Data Mining
Pembicara / Fasilitator
Salman Taufik: gaining experienced as banking professional since 1990, mastering in risk modeling and data analysis. He has background in statistics and has worked with large data set for economic and business research using SAS and SPSS. Now he is consultant and trainer in risk management and data mining for business intelligent.
Emphasizing practical skills as well as providing theoretical knowledge, this hands-on course covers segmentation analysis and profiling in the context of business data mining. Topics include the data mining modeling techniques and application : classification and prediction model, clustering, association and sequence.
SESSION-1: INTRODUCTION
* The Customer Relationship Management Strategy
* Data Mining in the CRM Framework
* Customer Segmentation
* Direct Marketing Campaigns
* Market Basket and Sequence Analysis
Supervised Modeling
* Classification modeling: predicting Events, marketing application
* Screening models
* Prediction Model
Unsupervised Modeling Techniques
* Segmention with Clustering Techniques
* Dimensionality of Data Reduction Techniques
* Association or Affinity ModelingTechniques
* Sequence Modeling Techniques
* Record Screening Modeling Techniques
Machine Learning/Artificial Intelligence vs. Statistical Techniques
SESSION-2: CUSTOMER SEGMENTATION
Customer Segmentation
* An Introduction to Customer Segmentation
* Segmentation in Marketing
* Segmentation Tasks and Criteria
Segmentation Types in Consumer Markets
* Value-Based Segmentation
* Behavioral Segmentation
* Propensity-Based Segmentation
* Loyalty Segmentation
* Socio-demographic and Life-Stage Segmentation
* Needs/Attitudinal-Based Segmentation
Segmentation methods
* Behavioral Segmentation Methodology
* Value-Based Segmentation Methodology
Data mining for segmentations
* Principal Components Analysis
+ Why consider PCA (Principle Component Analysis)
+ How Many Components Are to Be Extracted?
+ What Is the Meaning of Each Component?
+ Does the Solution Account for All the Original Fields?
+ Proceeding to the Next Steps with the Component Scores
+ Recommended PCA Options
* Clustering Techniques
+ Data Considerations for Clustering Models
+ Clustering with K-means
+ Clustering with the TwoStep Algorithm
+ Clustering with Kohonen Network/Self-organizing Map (SOM)
* Examining and Evaluating the Cluster Solution
+ The Number of Clusters and the Size of Each Cluster
+ Cohesion of the Clusters
+ Separation of the Clusters
* Understanding the Clusters through Profiling
+ Profiling the Clusters
+ Additional Profiling Suggestions
* Selecting the Optimal Cluster Solution
* Cluster Profiling and Scoring with Supervised Models
* An Introduction to Decision Tree Models
+ The Advantages of Using Decision Trees for Classification Modeling
+ One Goal, Different Decision Tree Algorithms: C&RT, C5.0, and CHAID
Exercise Case:
Segmentation Application in banking
Segmentation Application in Telecommunication
SESSION-3: DIRECT MARKETING CAMPAIGNS
* Approaches for direct marketing
* How’s data mining help in marketing campaign
* Scoring in RFM analysis
* Approach-1: Budget optimization
* Concept of lift and gains chart
* Approach-2: Optimizing the campaign
* Measuring the P/L
* Approach-3:Customer optimization
* Find the best model: regression, neural network, decision tree
* Confusion matrix
* Churn/attrition model
* Preventing Customer attrition
* Decision tree analysis
SESSION-4: MARKET BASKET AND SEQUENCE ANALYSIS
The RFM Analysis
* The RFM Segmentation Procedure
* RFM: Benefits, Usage, and Limitations
* Grouping Customers According to the Products They Buy
Wajib diikuti oleh
Anyone who wants to learn how to find meaningful segments in their customer data, focusing on practical business solutions as well as statistical rigor; business analysts, managers, marketers, programmers, and others can benefit from this course
Jadwal Pelatihan Galeri Training training gaining customer insight through data mining terbaru :
Jadwal Pelatihan Galeri Training Tahun 2025 :
- Batch 1 : 7 – 8 Januari 2026
- Batch 2 : 11 – 12 Februari 2026
- Batch 3 : 4 – 5 Maret 2026
- Batch 4 : 8 – 9 April 2026
- Batch 5 : 6 – 7 Mei 2026
- Batch 6 : 10 – 11 Juni 2026
- Batch 7 : 8 – 9 Juli 2026
- Batch 8 : 5 – 6 Agustus 2026
- Batch 9 : 9 – 10 September 2026
- Batch 10 : 14 – 15 Oktober 2026
- Batch 11 : 4 – 5 November 2026
- Batch 12 : 2 – 3 Desember 2026
Catatan : Jadwal dapat menyesuaikan dengan kebutuhan anda dengan catatan kuota peserta minimum 2 (dua) peserta terpenuhi.
Biaya dan Lokasi training customer relationship management terbaru :
Lokasi :
· Jakarta : Hotel Amaris Kemang, Amaris Tendean,Trinity Hotel, Ibis Budget.
· Bandung : Hotel Santika, Hay Hotel,Ibis Style, Novotel Hotel, Golden Flower Hotel, 1O1 Hotel, Grand Tjokro Hotel, Tune Hotel, Four Point by Sheraton Hotel .
· Yogyakarta : Hotel NEO+ Awana, Cordela Hotel,Ibis Style, Boutique Hotel, Cavinton Hotel, Mutiara Hotel, Dafam Malioboro Hotel, Prima Inn Hotel .
· Surabaya : Novotel Hotel, Ibis Center Hotel, HARRIS Hotel, Favehotel, Alana Hotel .
· Malang : Amaris Hotel, The 1O1 Hotel, Ibis Style Hotel, El Hotel, Whiz Prime Hotel .
· Bali : Ibis Kuta, Fontana Hotel, HARRIS Hotel & Conventions .
· Lombok : Favehotel, Novotel Lombok, D Praya Hotel .
Catatan : Biaya diatas belum termasuk akomodasi/penginapan.
Investasi training pengenalan gaining customer insight through data mining murah :
Investasi pelatihan selama tiga hari tersebut menyesuaikan dengan jumlah peserta (on call). *Please feel free to contact us.
Apabila perusahaan membutuhkan paket in house training, anggaran investasi pelatihan dapat menyesuaikan dengan anggaran perusahaan.
Fasilitas training konsep data mining murah :
1. FREE Airport pickup service (Gratis Antar jemput Hotel/Bandara)
2. FREE Akomodasi Peserta ke tempat pelatihan .
3. Module / Handout training customer relationship management terupdate .
4. FREE Flashdisk .
5. Sertifikat training gaining customer insight through data mining terupdate .
6. FREE Bag or bagpackers (Tas Training) .
7. Training Kit (Dokumentasi photo, Blocknote, ATK, etc) training pengenalan gaining customer insight through data mining terbaru .
8. 2xCoffe Break & 1 Lunch, Dinner.
9. Souvenir .
