Building an actionable strategy for data, analytics, and AI.

DATA & AI Strategy

• Data Strategy

  Explore our actionable data strategy services that focuses on delivering real results fast.

• Analytics Strategy

  Accelerate analytics maturity throughout your organization with our analytics strategy service.

• AI Strategy

  Increase AI adoption, effectiveness, and overall success of your new and existing AI initiatives.

You want to be successful with your current (and future) AI, data, and analytics initiatives but lack a solid strategy that everyone across the enterprise is bought into. This is where phi-nexus shines to create the ideal strategy for your business.

Enhance the use of data insights for decision-making

Business Intelligence and Analytics Plan

Review current activities related to BIA (reports and/or dashboards, etc…

the plan will include the following, as a minimum:

A roadmap of activities and milestones for the implementation of BI and Analytics use cases. The plan includes what is necessary to achieve this Domain’s specifications as per (NDMO)

Strategy & Plan

Data Strategy

Data Ecosystem Set-up

Data Quality Audit

Opportunity Realization

Business Intelligence Strategy

Data Governance & Strategy

BI and Analytics Use Case Identification

1. Identify: list of identified use cases documented.

2. Prioritization: The long list of use cases can be shortlisted based on a predefined prioritization with criteria such as impact and complexity

3. Analytics Use Case Personal Data Protection (PDP).

4. The name & description of the use case.

6. The desired & achieved objectives of the use case.

7. The stakeholders of the case.

BI and Analytics Use Case Detailing

Each Analytics Use Case will have the following documented:

1. Objective to be achieved from the use case

2. Type of Analytics leveraged (among the five maturity levels of discovery, descriptive, diagnostic, predictive, prescriptive)

3. The expected benefits and business value aimed to be derived (ROI) through development of a business case

4. List of business requirements to implement the use case

5. Data sources that would feed the use case with the required data fields

7. The technologies required to implement the use case

BI and Analytics Use Case Implementation Plan

Detail Functional and Non-Functional Requirements - Use case objectives translated into analytics requirements

High Level Design - Conceptual design of the analytics.

Staging and Production Environment Preparations - Analytics solution during and after development.

Testing - Scope and types of testing to be conducted

Deployment and Schedule - Timeline for establishing a pilot and / or delivery of the complete use case

Acceptance Criteria - Key criteria for measuring the successful implementation of the analytics use case.

Strategy Execution Plan

Data Lifecycle Management control, as per (NDMO) requirement the Entity shall define and conduct a validation process to validate use cases outcomes and shall leverage a data science team to implement them

BI and Analytics Use Case Validation

• Analytics Use Case functional and non-functional requirements.

• Analytics Use Case Personal Data Protection (PDP)

• Data Analytics Use Case Return on Investment (ROI) for each target set.

Data Science Team

Hybrid team on project basis: On-Site & Remote

Democratize data. Scale a data science team to the whole company.

Business Intelligence and Analytics KPIs

BIA Portfolio Effectiveness with pre-defined Key Performance Indicators (KPIs).

• The number of the identified / shortlisted use cases.

• The number of use cases in the pilot / beta phase for testing.

• The number of the implemented use cases that are widely utilized.

• The total Return on Investment (ROI) value generated from use case implementations.

We’ve helped them

We've partnered with many household brand names to deliver insights and solutions to their problems with big data.

Contact us

Whether you have a request, a query, or want to work with us, use the form below to get in touch with our team.