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Evolve to a Data Driven Organization

Soft-Tech Advisory Services covers all key areas and depending on the maturity level of an organization’s Data Strategy and its current needs, any one, a combination or all services can be provided.

Data Strategy

Create value from your data assets.

  • Contextualization – Developing Perspectives, conducting Data SWOT and creating Data Asset Inventory

  • Ideation – Developing Use Cases

  • Prescription – Developing Road Map and Implementation Plan

Develop a unified view of data.

  • Use Data Management Frameworks

  • Review Organizations Data LifeCycle

  • Review Data Architecture

  • Review Data Storage

  • Review Operations (administration, integration, interoperability)

  • Review Organizations

  • Data Categories (Metadata, Master, Reference)

Data Management

Develop a unified view of data.

  • Use Data Management Frameworks

  • Review Organizations Data LifeCycle

  • Review Data Architecture

  • Review Data Storage

  • Review Operations (administration, integration, interoperability)

  • Review Organizations

  • Data Categories (Metadata, Master, Reference)

Data Governance, Quality and Security

Setting and enforcing organization rules on data, making data reliable, and protecting data from vulnerabilities:

  • Establish & Operationalize a Data Governance Program

  • Define Data Quality – making data reliable

  • Ensure Data Security (Confidentiality, Integrity, and Availability

Data Processes and Technology

Ensure effective use of the organization’s existing technology investments or assist in selecting and acquiring new technology based on the organization’s needs for:

  • Data Generation and Acquisition

  • Data Integration and Management

  • Data Analysis (Descriptive, Predictive, and Prescriptive)

  • Data Operationalization (Robotic Process Automation, Visualizations, Dashboards, BI)

Organization Model and Culture

Implement an organizational structure specifically for data and build an organization’s culture that is data-driven for all decision-making.

  • Creating a Data Organization – Governance Office, Chief Data Officer, Data Stewards.

  • Building a Data-Driven Culture

Our Approach Phases

Depending on specific business needs and objectives, our typical approach varies from one organization to another. All the initiatives are defined after the assessment (Phase 0), and are determined by the selected use cases.

Phase 0:

Assessment: Data Architecture, Use Case Selection, Road Map

Phase 1:

  • Data Lake

  • Data Governance

  • Data Quality

  • Master Data

  • Management

Phase 2:

  • Data Lake

  • Data Governance: Data Catalog

  • Master Data Management: Party or Asset Domain

  • Operational Reporting

  • Data Warehouse: Priority 1 Models

Phase 3:

  • Data Lake

  • Data Governance

  • Master Data Management: Other Domains

  • Operational Reporting

  • Data Warehouse: Priority 2 Models

 

Phase 4:

  • Data Governance

  • Data Warehouse: Other Models

  • Data Analytics: Self Service Analytics

Phase 5:

  • Data Governance

  • Data Warehouse Data Analytics: Regulatory, Risk

  • Advanced Analytics: Forecasting

Phase 6:

  • Data Governance

  • Data Analytics

  • Advanced Analytics: Predictive, IOT, AI

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