Analytics & Big Data Proof of Concept
In order to get started with Analytics & Big Data initiative, Analytics Advisory Group strongly recommends starting with a PoC.
We help define the scope, get approval, and then execute and deliver on the PoC across the following dimensions:
We help define the scope, get approval, and then execute and deliver on the PoC across the following dimensions:
- Desired Outcomes
- Cost
- Business Benefits & Value
- Architecture
- Governance & Team Structure
- Infrastructure
- Process
- Data
- Analytics
- Technology
Analytics & Big Data Strategy
The Strategy discussions usually hover around answering the following questions:
Analytics Advisory Group helps to Assess, Develop, Review, and Institutionalize the Analytics & Big Data Strategy along topics, including:
- 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
Analytics & Big Data Center of Excellence
Analytics Advisory Group has helped many clients establish an Analytics & Big Data Center of Excellence (CoE) in the past.
The reasons for having a CoE include:
Some of the considerations include:
The reasons for having a CoE include:
- Build strong analytical capabilities and competencies
- Work closely with business and IT teams to identify business areas where analytics can help drive efficiencies, cost optimization and productivity gains
- Develop & Deliver analytical models
- Deploy analytical models in production after successful testing and value creation
- Continue to monitor the model performance and identify other business areas where analytics can help
Some of the considerations include:
- Governance & Executive Sponsorship
- Requirements/Business Needs
- Clear identification of solution areas/use cases (Map to Needs)
- Analytical Techniques & Methods (Map to Use Cases)
- Types of Data & Access
- Methodology
- Infrastructure Support
- Data Perequisites
- Process
- Architecture
- Tools & Technologies
- Competencies, Proficiencies, and Learning
- Roles & Career Paths
Identify Business Use Cases
In order to achieve the strategic objectives, it is imperative to identify specific use cases or hypothesis or questions that one might want to get answered using an analytical approach. These use cases are industry-specific, even down to a specific line of business.
Analytics Advisory Group offers a consistent framework to discover and capture these use cases along with the scenarios in which the associated questions and hypothesis need to get answered. This framework is
Analytics Advisory Group offers a consistent framework to discover and capture these use cases along with the scenarios in which the associated questions and hypothesis need to get answered. This framework is
- Industry agnostic
- Technology agnostic
- Industry Domain intensive
- Business Process intensive
- Enables Exploratory Data Analysis
- Repeatable and consistent
- Aids in framing the analytical initiatives
Competency Center / Training Program
Analytics Advisory Group offers a comprehensive training program that help organizations:
Depending on the needs, incubating, institutionalizing, and sustaining a Competency Center includes focusing on:
- Transition employees into a more value-driven analytical careers
- Setup a continuous learning program internally
- Meet the needs of business with timely, and high quality deliverables
- Setup the right organization structure needed to manage analytics initiatives efficiently
- Continuously adapting to new tools and technologies to meet business needs
- Incentivizing employees to contribute and reap the benefits from a competency center and training program
Depending on the needs, incubating, institutionalizing, and sustaining a Competency Center includes focusing on:
- Organizational Governance structure
- Curriculum Development
- Competency Plans
- Areas of Proficiencies
- Hands-On Training
- Lab setup
- Internal discussion forums, brown bags, evangelizing benefits
- Job Descriptions - Roles & Responsibilities
- Role-based Career Paths
- Training Assets Development
- User Needs
- Faculty development (Train the Trainer Approach)
Descriptive, Predictive, & Prescrpitive Analytics
Analytics Advisory Group helps derive Outcomes-Driven, Incremental Value, utilizing
For a comparison of the 3 types of analytics, and the underlying data foundation needed, see the table below.
- Descriptive Analytics (BI Metrics, Alerts, Triggers, Scorecards, Reports, Dashboards)
- Predictive Analytics (Classification, Prediction, Discovery Modeling)
- Prescriptive Analytics (Simulation What-Ifs, Optimization Modeling)
For a comparison of the 3 types of analytics, and the underlying data foundation needed, see the table below.
Cross & Up-Sell Analytics Capabilites
There is a growing need amongst lot of our clients (and their customers) to exploit "Analytics as a Service" or equip their products or platforms or solutions to have lot more analytical capabilities. Drivers for this include
Additionally, many of them have needs where Big Data could
To explore how Analytics Advisory Group can provide incremental, cross & up-sell Analytics and Big Data capabilities to your existing customers, Contact Us Today.
- Increased competitive pressures
- Need for Market differentiation
- Need for tighter coupling between strategic objectives and the outcomes achieved
Additionally, many of them have needs where Big Data could
- Achieve outcomes in a quicker, cheaper, better fashion
- Provide new business model and opportunities
To explore how Analytics Advisory Group can provide incremental, cross & up-sell Analytics and Big Data capabilities to your existing customers, Contact Us Today.
Tools & Technology Selection
Whether you are interested in selecting RDBMS, Hadoop platforms, Analytical tools, or visualization tools, we have developed a framework that eases the pain and helps to explain the rationale behind the selection choices, as well as describe the different options before selection. Some of the dimensions along which selection is achieved includes:
- Cost
- Features (Functional & Non-functional)
- Integration
- Ease of Use
- Scalability
- Flexibility
- Analyst Rankings
- Partnership
- Performance
- Infrastructure
- Training
- Build versus Buy
- Fit for Purpose
Role-based Staffing Needs
Analytics Advisory Group helps your teams in defining the kind of roles needed to accomplish the Analytics initiatives.
The consulting services include:
The consulting services include:
- Define Roles & Responsibilities
- Team Structure & Composition
- Role-based career paths
- Competency Plans
- Proficiency Plans
- Communication Strategies
- Recruit and/or provide Resources
- Organization Architecture
- Capacity Planning