Strategy Consulting

Our methodology facilitates early and frequent value delivery while building a solid data analytics foundation

Purpose

To define a comprehensive strategy to accelerate delivery of business outcomes leveraging data analytics

Engagement Benefits

Defined Strategy

Define a strategy of how analytics will be leveraged to achieve business objectives

Organizational Needs

Understand the required organizational structure and resource needs

Program Estimates

Detailed program development estimates and timeline for implementation

Data Requirements

Understand all aspects of data required for analytics

Technical Architecture

Define the platform architecture for enabling analytics

Prioritized Use Cases

Prioritized analytics use cases for delivering business impact

Phased Roadmap

Phased implementation roadmap with prioritized data subject areas and use cases

GAP Analysis

Identify organizational, platform, process and data gaps

Strategy

Program Vision

Roadmap

Foundation

Platform

People

Process

Early Value

Deep-dive

Design

Architecture

Proof of Concept

Acceleration

Launch Short Projects

Frequent Value Delivery

Strategy Engagement Process

Collaborative and Iterative Process

Client Business Expertise

Client Technology Expertise

Kavi
Expertise

Analytics
Strategy

Capture

Compile

Playback

Strategize

Recommend

Strategy Engagement Collaboration

Path To An Actionable Roadmap

  1. Project Kick-off

    Senior Leadership
    Functional Leadership
    Core Team

  2. Capture

    Core Team
    Senior Leadership
    Subject Matter Experts

  3. Playback

    Core Team
    Subject Matter Experts
    Senior Leadership

  4. Recommend

    Core Team
    Senior Leadership

Strategy & Design Services

Purpose: To define an enterprise wide vision for analytics

Work Packages

Future Vision Development

  Process

  • Interviews (group or individual) of key senior leadership and other influencers within your organization
  • Interviews will be structured and will have primary questions to direct the discussions

  Deliverables

  • Leadership vision for analytics
Current State Capability Assessment

  Process

  • Interview business and technical leaders
  • Determine existing capabilities
  • Map scores across all functions
  • Use as the starting point for implementation

  Deliverables

  • Current state assessment across all business units interviewed
Analytics Use Case Identification And Prioritization

  Process

  • Use cases are created based on interviews
  • Cluster use cases by theme
  • Prioritize use cases using multiple criteria

  Deliverables

  • Prioritized list of use cases
  • Use case benefits
Benefits Evaluation And Business Case

  Process

  • Use interviews and analysis to determine specific outcomes and benefits related to implementing an analytics program

  Deliverables

  • Functional benefits
  • Program ROI estimates
Risk Assessment And Mitigation Strategy

  Process

  • Clearly define program risks
  • Weight each risk over time

  Deliverables

  • Risk assessment and mitigation strategy
Actionable Roadmap Development

  Process

  • Inputs from other work packages – Analytics Vision, Use Cases, Current State and Gap Analysis
  • Scoring model to arrive at the prioritized roadmap

  Deliverables

  • Program roadmap with prioritized phases
  • Implementation cost estimates and timelines
Analytics POV
Kavi Labs, a part of our R&D, enables clients to access to a plethora of technologies for Proof of Value. This fully functional and experimental environment helps clients evaluate technologies without having to invest and commit to costly licenses. Our typical PoV process consists of the following 5 steps:

Define Business Case with RoI
Define Requirements for PoV build out
Design & Develop PoV with limited data resources to prove value
Develop sample data ingestion, transformation and loading routines based on solution requirement
Provide architecture for production implementation

Purpose: To understand how the current data is captured, stored, manipulated and used and how it may need to change in order to be effectively used for analytics.

Work Packages

Data Requirements For Analytics

  Process

  • Data for prioritized use cases
  • Identify data required to satisfy use case

  Deliverables

  • Data requirements for each use case
Data Current State Assessment

  Process

  • Assess current data warehouse – subject areas, granularity, completeness and history.
  • Determine functions that are being served

  Deliverables

  • Current state of the data management
Gap Analysis and Recommendations

  Process

  • Data requirements and Current data warehouse assessment as inputs
  • Identify the data gaps

  Deliverables

  • Data gaps by subject area
Source Systems Analysis

  Process

  • Identify all applicable source systems
  • Map data sources to function, location, subject areas, internal knowledge etc.

  Deliverables

  • Source statements analysis
  • Source systems integration requirements to support prioritized roadmap
Master Data Management Strategy

  Process

  • Identify the list of master data and data relationship
  • Identify the source systems for each master data entity
  • Define the rule for master data management
  • Determine data lineage and history requirements

  Deliverables

  • Master data management strategy for required data subject areas
Data Quality Management Strategy

  Process

  • Review overall data quality of primary data sources
  • Perform data profiling to determine the current state data quality

  Deliverables

  • Representations of data quality across primary data sources
Data Architecture Definition

  Process

  • Work with IT and business SME’s to map the high level data entities
  • Further define the detailed logical data model based on the conceptual model

  Deliverables

  • Conceptual data model
  • Logical data model

Purpose: To understand organizational and staffing needs for implementation and change management requirements for successful adoption of analytics

Work Packages

Current State And Needs Analysis

  Process

  • Inputs from many of the work packages including current state and implementation roadmap
  • Estimate needed capabilities and resources for implementation and support

  Deliverables

  • Role based org chart
  • Role based descriptions of new positions – describe skills and experience
Change Acceleration Strategy

  Process

  • Identify resistance to change
  • Change process to reduce resistance and gain acceptance
  • Arrive at action plan

  Deliverables

  • Program governance structure
  • Action plan to address – Process, People, Culture
Resource Training Strategy

  Process

  • Identify target groups and user type groups
  • Assessment of the group training needs – knowledge/skill required
  • Determine training type, need by and delivery method

  Deliverables

  • Training plan
  • Training cost estimates
Communication Strategy

  Process

  • Communication for each phase
  • Capture voice of the customer
  • Arrive at information, communication type and timing – ensure consistent message

  Deliverables

  • Communication plan
  • Communication content strategy

Purpose: To understand the current software and hardware that are in use and determine what can be leveraged and what gaps exist in delivering analytics to the organization

Work Packages

Technology Current State Analysis

  Process

  • Assess all major technologies currently being used within the organization
  • Determine their usage and which features they provide
  • Determine key features that are missing

  Deliverables

  • Analysis of each technology in the analytics platform technology stack
Gap Analysis and Recommendations

  Process

  • Determine which key tools, required features that are not current in place
  • Propose recommendation of best fit tools to be implemented

  Deliverables

  • Technology gap analysis
Platform Architecture Definition

  Process

  • After understanding current architecture and capabilities, develop an overall architecture to support the analytics roadmap

  Deliverables

  • Platform architecture diagram depicting all aspects of an enterprise wide platform for supporting analytics

Purpose: To understand the business process in adequate detail to develop use cases and identify data needs for each use case. To ensure process maturity to support the program.

Work Packages

RFP Template Development

  Process

  • Inputs from all work packages to arrive at RFP template
  • Work with vendor management and client project team on revision

  Deliverables

  • RFP template for program implementation
  • And/or, RFP template for technology selection
Business Process Map Development

  Process

  • Interview business SMEs
  • Discuss workflow with regards to data
  • Document and create process map and validate with business functions

  Deliverables

  • Business process flow maps of each business unit
Program Governance Structure

  Process

  • Understand existing governance structure maintained for past projects
  • Modify existing structure as needed, or propose new if none exists

  Deliverables

  • Governance structure org chart
  • Recommended guidelines for effective governance of program
Implementation Methodology Selection

  Process

  • Evaluate right fit – Agile/Waterfall/Hybrid
  • Project roles and responsibilities
  • Define project team structure

  Deliverables

  • Implementation methodology
  • Internal and consulting resource plan

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