The ITA Data Analytics Center provides the nexus of Domain/Subject Matter Expertise, Statistics/Machine Learning, and Software Engineering to provide our customers value added and focused data analytic solutions. Our unique ITADAC ARENA Process starts with asking the right questions, with the intent of fully understanding our customers needs and objectives. After understanding the customers business goals, we apply industry techniques and tools to help answer those questions. We are well versed in leading tools and techniques to ensure we choose the right tool for our customers needs.
Ask
- Interview Stakeholders
- Define and Document Business Objectives
- Data Maturity Model (DMM)
- Data Analytics Customer Engagement (DACE)
A
Review
- Determine “As Is” Data Maturity
- Collect Preliminary Data Sets
- DMM
- Metadata Evaluation Tool (MET)
- Data Managment Body of Knowledge
R
Evaluate
- Determine “To Be” Data Maturity
- Collect Final Data Sets
- Perform Extraction, Transformation and Load (ETL)
- Amazon Web Services (AWS) Glue
- DMBOK
- Python
E
Navigate
- Define Problem Classification
- Assess Available Data Algorithms
- Scikit-learn
- Jupyter Notebook
- AWS SageMaker
N
Analyze
- Visualize Data
- Evaluate Algorithms
- Scikit-learn
- Jupyter Notebook
- AWS SageMaker
A
Industry Leading Tools & Technology
Our unique ARENA Process combines ITAs deep domain and subject matter expertise, with industry best practices and analytic tools to provide a holistic solution to your business needs. We are well versed in various leading tools and techniques to include (but not limited to), Microsoft Power BI, Sisense, ML Jupyter Notebooks, Scikit-Learn, Data Maturity Model, Data Management Body of Knowledge, Python, and AWS.
Global Security
Operation and engineering services and products for government customers
Data Analytics
Gathering the best minds to solve difficult analytic challenges.