Analytics & 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 objectves? 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?
Analytics Advisory Group 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
- Descriptive Analytics/Business Intelligence
- 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
- Harnessing