Build a data strategy that stands the test of time
Your data is a strategic asset. Develop a roadmap to ensure your organisation can trust and leverage this asset to drive better decision-making and maximise business success. Your data journey starts here.
Our solutions are trusted by the greatest data teams
What to expect?
A clear data strategy provides a competitive edge by guiding data-driven decisions that boost efficiency, improve customer experiences, and adapt to market trends. Our strategies define how to collect, store, and use data to meet goals, align business objectives with data initiatives, and establish strong data governance while fostering a data-driven culture.
Data strategy assessment
We assess the current state of your data management practices. We identify strengths, weaknesses, and areas for improvement in data quality, infrastructure, security, and analytics.
Technology assessment
We evaluate your current technology infrastructure. We consider the suitability, scalability, and gaps in your technology stack, advising on any new technologies or upgrades that may be suitable.
Operating model
We outline the proposed structure, processes, and roles for implementing the data strategy. Our recommendations ensure alignment in accountability, data management, and organisational structures.
Data strategy refinements
In an ever-changing world, regular review and updates to your data strategy is vital. Vizify is here to help refresh your data strategy, aligning your data, processes, and technology with your business objectives.
What can you expect From Our Data Strategy ?
Data Strategy Assessment
We will evaluate the current state of your data management practices. We identify strengths, weaknesses, and areas for improvement in data quality, infrastructure, security, and analytics.
Technology Assessment
We evaluate your current technology infrastructure. We consider the suitability, scalability, and gaps in your technology stack, assessing any new technologies or upgrades that may be suitable.
Data Strategy Operating Model
We outline the proposed structure, processes, and roles for implementing the data strategy. Our recommendations ensure alignment in accountability, data management, and organisational structures.
Data Strategy Refinements
In an ever-changing world, regular review and updates to your data strategy is vital. Vizify is here to help refresh your data strategy, aligning your data, processes, and technology with your business objectives.
Slide Background
Data and analytics are the management of data for all uses (operational and analytical) and the analysis of data to drive business processes and improve business outcomes through more effective decision making and enhanced customer experiences.
Gartner
Slide Background
Data and analytics are the management of data for all uses (operational and analytical) and the analysis of data to drive business processes and improve business outcomes through more effective decision making and enhanced customer experiences.
Gartner
Strategy
Do you have a data & analytics strategy
that is aligned to the wider business strategy?
Sponsorship
Alignment to business strategy
Analytics Roadmap
Benefits tracking
Platforms
Are you using the right analytics platforms?
Data storage and management
Preparing, cleansing, modelling
Metadata management
End-user tools
Data
What does your data landscape look like?
Data variety and sources
Data availability
Data definition and modelling
Data cleansing and governance
Analysis
How sophisticated are you in your analysis?
Sophistication
Automation
Dissemination
Security
Culture & Skills
How Data-driven are your people?
Community
Skills (technical and soft)
Learning and development
Best practices and standards
Process
Do you have processes in place to manage
analytics development and support adoption?
Demand pipeline
Reporting lifecycle management
Business processes
adoption
Our Data Maturity Assessment Framework
Strategy
Do you have a data & analytics strategy
that is aligned to the wider business strategy?
Sponsorship
Alignment to business strategy
Analytics Roadmap
Benefits tracking
Platforms
Are you using the right analytics platforms?
Data storage and management
Preparation, cleansing, modelling
Metadata management
End-user tools
Analysis
How sophisticated are you in your analysis?
Sophistication
Automation
Dissemination
Security
Culture & Skills
How data-driven are your people?
Community
Skills (technical and soft)
Learning and development
Best practices and standards
Data
What does your data landscape look like?
Data variety and sources
Data availability
Data definition and modelling
Data cleansing and governance
Process
Do you have processes in place to manage analytics development and support adoption?