

ABOUT
Madison Data Consulting(MDC) is a professional services firm offering end to end data services including Data Strategy Planning, Data Architecture Design, Data Platform Construction, Data Governance and Machine Learning.
As the Data Expert, MDC is distinct in its ability to help clients solve their data problems, from strategy to implementation.
Our goal, is to help our clients be successful to transform vast amounts of data they collect into information and insight so they may better understand—and make intelligent decisions about —their customers, brand, competitors, operations and market opportunities and ultimately help our clients generate values.
With more than 20-year experience in big data, data warehouse and business intelligence are, MDC is aiming to become the leader in Data Consulting.

SERVICE PERSPECTIVE




SERVICE PORTFOLIO

Data Strategy &
Digital Transformation Planning
A.I.
Artificial
Intelligence
B.I.
Business Intelligence &
Big Data Intelligence
C.I.
Customer
Intelligence
D.I.
Data
Integration
D.G.
Data
Governance
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Customer Segmentation
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Recommendation
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Churn Prediction
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Customer Scoring
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Predictive Maintenance
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Social/Text Analysis
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Fast Data Analysis
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Data Visualization
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BI Mart Design
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Dashboard Design
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Report Design
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CRM/CEM
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O2O/Omni-Channel
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Single Customer View
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Data Driven Marketing
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Campaign Management
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Predictive Call Center
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Big Data Integration
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Data Lake
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Data Warehouse
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Data Mart & ODS
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Open Data Integration
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Cloud Data Analysis
Data Architecture & Model Design
EDW, Big Data, Cloud, Open Data, Social Media Data
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Org Design
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Policy, Regulation, Procedure Design
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Data Quality
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Data Cleansing
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Data Profiling
Skills Training & Knowledge Transfer
AI & Machine Learning, IoT, Big Data & Data Lake, Data Modeling, Data-Driven Marketing, EDW Methodology, Data Governance & Data Quality
Data Platform Construct & Implementation
EDW
Data Lake
Dashboard
NoSQL Database
SQL Database
Machine Learning
Metadata Tool
BUSINESS VALUE ACCELERATOR
DATA ARCHITECTURE DESIGN
Design the data platform architecture to fit every corporate's data analytics needs, including DW, Big Data, Machine Learning.

DATA WAREHOUSE IMPLEMENTATION METHODOLOGY
Methodology to build a data warehouse, including business/information discovery, data model design, ETL process.

DATA GOVERNANCE
Data Management of all the data which an organization has to ensure that high data quality exists throughout the complete lifecycle of the data.

DATA STRATEGY ROADMAP PLANNING
Methodology to collect needs for data and provide the actionable initiatives on people, technology, and process. By mapping initiatives with existing resources, a tangible roadmap with time-line will be provided.
DATA STRATEGY ROADMAP PLANNING

MACHINE LEARNING
Data science that uses statistical techniques to give computer systems the ability to "learn with data, including customer segmentation, event prediction, customer scoring, and product recommendation.

BUSINESS INTELLIGENCE
Technology-driven process for analyzing data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions, including visualization, reporting, and dashboard.

TRAINING
Data-Driven & DW

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CRM/Data Warehouse/Basic Big Data Concept
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DW Methodology
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Data Quality & Data Governance
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Intoduction of Data Mining
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Data Mining Techniques
Data Modeling
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ER Modeling Skill
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Dimensional Modeling
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Data Modeling
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Telecom
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Banking
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Retail
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Big Data
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Everything in Big Data
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Why does Big Data Projects always end up failing?
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Building an Analytic-Driven Corporation
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Data Warehouse v.s. Data Lake
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Delve into Big Data #1#2
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Big Data Use Case in Telecom Industry
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CEM Business Case in Telecom Industry

AI
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Application and Trend in AI
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Python: Machine Learning Practice
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Machine Learning

Cloud Analytics & IoT
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Building Smart IoT
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Strategy of Cloud Analytics for your enterprise
