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Analytics and Big Data Strategy

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

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  • HOME
  • Services
    • Advisory
    • Consulting
    • Training
    • Workshops
    • Career Coaching & Mentoring
  • Industries
    • Healthcare
    • Insurance
    • Retail
    • Financial Services
    • Telecommunications
    • Education
  • Success Stories
  • About US
    • Analytical Approach
    • News
  • Contact Us