Data Strategy Assessment

Data Strategy Assessment
Data Strategy Assessment

Data Strategy Assessment (DSA) with DIVNT

Data Strategy Assessment (DSA) with DIVNT

Data Strategy Assessment (DSA) with DIVNT

Maturity Assessment

Maturity Assessment

Enable the database for AI capabilities

Enable the database for AI capabilities

Breaking down data silos

Breaking down data silos

These companies
trust DIVINT
These companies trust DIVINT
These companies trust DIVINT

Services

Our DSA Focus Areas at a Glance

Our DSA Focus Areas at a Glance

Analysis & Discovery (Current State Assessment)

Independent assessment of your data landscape: systems, interfaces, data sources, BI/controlling, risks, and obstacles. A clear overview instead of fragmented views.

Analysis & Discovery (Current State Assessment)

Independent assessment of your data landscape: systems, interfaces, data sources, BI/controlling, risks, and obstacles. A clear overview instead of fragmented views.

Analysis & Discovery (Current State Assessment)

Independent assessment of your data landscape: systems, interfaces, data sources, BI/controlling, risks, and obstacles. A clear overview instead of fragmented views.

Goals, Vision & Use Case Prioritization

Develop shared visions, identify concrete use cases, and prioritize them based on business impact and feasibility – including success criteria (KPIs).

Goals, Vision & Use Case Prioritization

Develop shared visions, identify concrete use cases, and prioritize them based on business impact and feasibility – including success criteria (KPIs).

Goals, Vision & Use Case Prioritization

Develop shared visions, identify concrete use cases, and prioritize them based on business impact and feasibility – including success criteria (KPIs).

Target Architecture & Migration Roadmap

Design the technical target architecture (DWH/Lakehouse, Integration, Governance) and plan a pragmatic, risk-minimized path to achieve it – including steps, milestones, and responsibilities.

Target Architecture & Migration Roadmap

Design the technical target architecture (DWH/Lakehouse, Integration, Governance) and plan a pragmatic, risk-minimized path to achieve it – including steps, milestones, and responsibilities.

Target Architecture & Migration Roadmap

Design the technical target architecture (DWH/Lakehouse, Integration, Governance) and plan a pragmatic, risk-minimized path to achieve it – including steps, milestones, and responsibilities.

Data Governance & Operating Model

Define roles, processes, and policies (Ownership, Data Stewardship, Quality, Security). Auditable standards for access, data protection, and lifecycle.

Data Governance & Operating Model

Define roles, processes, and policies (Ownership, Data Stewardship, Quality, Security). Auditable standards for access, data protection, and lifecycle.

Data Governance & Operating Model

Define roles, processes, and policies (Ownership, Data Stewardship, Quality, Security). Auditable standards for access, data protection, and lifecycle.

Data Integration, Automation & Quality

ETL/ELT strategy, real-time/batch processing, data catalogs, quality rules, and automation for robust, reusable data products.

Data Integration, Automation & Quality

ETL/ELT strategy, real-time/batch processing, data catalogs, quality rules, and automation for robust, reusable data products.

Data Integration, Automation & Quality

ETL/ELT strategy, real-time/batch processing, data catalogs, quality rules, and automation for robust, reusable data products.

Analytics, Self-Service & Empowerment

Foundation for BI/AI: curated datasets, KPI catalogs, self-service guidelines, training sessions. This makes data analytics usable in everyday life.

Analytics, Self-Service & Empowerment

Foundation for BI/AI: curated datasets, KPI catalogs, self-service guidelines, training sessions. This makes data analytics usable in everyday life.

Analytics, Self-Service & Empowerment

Foundation for BI/AI: curated datasets, KPI catalogs, self-service guidelines, training sessions. This makes data analytics usable in everyday life.

Your advantages

Why a Data Strategy Assessment – and What Happens Without One?

With DIVINT as your partner, you benefit from clear added value. Without a data strategy assessment, valuable potentials remain untapped:

With DIVINT DSA

With DIVINT DSA

Benefits

Clear overview of systems, data flows, and responsibilities

Prioritized use cases with a business case instead of technology for technology's sake

Target architecture & roadmap for rapid, measurable progress

Automation reduces manual data search/preparation, resulting in up to approximately 30% time savings

Early identified risks & limits (Security, Quality, Scalability)

Solid foundation for BI/AI, monetization, and data-driven decisions

Without DSA

Disadvantages

Opaque data landscape, redundancy, and shadow reporting

Costly misinvestments in tools without a viable strategy

Slow decisions due to manual data collection

Security/compliance gaps and unclear responsibilities

Island solutions instead of scalable data architecture

Missed use case potentials and ROI opportunities

FAQ

Frequently Asked Questions

What does a data strategy assessment include?

What does a data strategy assessment include?

Who is suitable for a DSA?

Who is suitable for a DSA?

How does a typical DSA session proceed?

How does a typical DSA session proceed?

How long does a DSA take?

How long does a DSA take?

Are the workshops also available remotely?

Are the workshops also available remotely?

Which technologies are being considered?

Which technologies are being considered?

What results can I expect?

What results can I expect?

What next steps do you recommend?

What next steps do you recommend?

Thang Nguyen

CEO, DIVINT

In a free consultation, you will find out how Fabric can transform your business.

Thang Nguyen

CEO, DIVINT

In a free consultation, you will find out how Fabric can transform your business.

Thang Nguyen

CEO, DIVINT

In a free consultation, you will find out how Fabric can transform your business.