The Strategy discussions usually hover around answering the following questions

• Where are we organizationally, in the maturity model for Analytics & Big Data i.e. what is our "current state"?
• What are the needs, requirements, and pain points of the business in achieving their strategic objectives? What is working/not working?
• Where should we be heading i.e. what is our "future state"?
• How can we achieve the future state from here? i.e. what is our "Roadmap"?
• What sort of costs and investments are needed to achieve the future state?
• How can we apply repeatable processes, frameworks, best practices, and learnings to efficiently achieve our future state?

AAG helps to Assess, Develop, Review, and Institutionalize the Analytics & Big Data Strategy along topics, including:

• Analytics
  • Descriptive Analytics/Business Intelligence
    • Reports, Scorecards, Dashboards, Alerts, KPIs
  • Predictive Analytics
    • Classification, Prediction, Regression
    • Discovery, Clustering, Association Rule Mining
  • Prescriptive Analytics
    • Simulation, Optimization
  • Text Analytics
    • Supervised Learning Techniques
    • Unsupervised Learning Techniques
    • Topic Discovery
    • Information Retrieval
  • Statistical Algorithms
  • Machine Learning Techniques

 

• Big Data
  • Harnessing
    • Hadoop, Spark, Storm Ecosystem
    • Data Warehouse/Data Integration
    • Data Architecture, Data Quality, Data Governance
    • Hybrid Architectures
  • Harvesting
    • Business Use Cases
    • Exploratory Data Analyses
    • Root Cause Analyses
    • Data Visualization