Define Data Strategy
Leverage Lintao's framework to define an actionable and realistic Data Strategy, ensuring your data capital is leveraged as an organizational asset
Why partnering with Lintao to define your Data Strategy
Data Strategy: Envisioning
Defining and deploying a Data Strategy is about realizing a successful transformation when Data will be leveraged as a key organizational asset.
Leverage Lintao's framework to define your Data Strategy
Across the last 20 years, we defined a framework to define and deploy an actionable Data Strategy.
This framework is based on six main streams:
Governance of BI-related subjects: Animation of the Network, Cultural Change Management, Governance, Steering
Governance of Data-related subjects: Referential Data, (Shared) Data Management, Data Flows, Data Quality, Data Policies, Data Access, Data Protection, Data Retention & Data Measurement
Framework for organizing the data, information management and technology components that are used to build & run Data & Analytics solutions
BI Solutions Delivery
Build & Supply of new BI solutions for business users
Run, Support & Maintenance of BI solutions according to a designated level of service
Exploitation of BI Solutions by business users: Data Science (acquisition, consolidation, mining & restitution), Business Analysis
Defining your Data Strategy in a structured way
We will customize our existing Data Strategy framework across an in-depth analysis of your environment.
For each of the strategy pillars of the strategy (Vision, Organization, Processes, Solutions & Architecture), we will cover four topics:
- Baseline: Where do we stand today? How this is done today?
- Envision: Where do we want to go? What is the expected future? What are common practices?
- Assess: How to go there? What do we have to do to move from current to expected situation? Gap & Impact analysis
- Plan: What are the priorities? How to orchestrate actions? When to go there? Prioritize, Budget & Roadmap