At Helixiora, we strongly believe in autonomy as a driver for growth. However, sometimes its hard to see where and what to improve on your data-driven journey. That’s where we can help. Our Data Culture Assessment provides practical, down-to-earth guardrails to get actionable insights into strategic improvements to help you accelerate your data-driven journey.
People, Process, Technology
The cost-efficient assessment covers not just technology, but also your organization, teams and processes, because we know technology does not operate in a vacuum. We take a more holistic approach by looking at the entirety of your data platform, underlying infrastructure and the teams that operate it, how your users consume data, how these teams interact, and how technology impacts resilience, performance, security, scalability and cost. Additionally, we look at the flow of data across your organization, data collection, quality, accessibility, governance, and alignment with strategic goals.
Actionable Insights
By identifying areas of strength and success within the organization’s data practices and highlighting areas for improvement, this assessment provides valuable insights to inform future data culture enhancements. At the end of the assessment, we deliver a detailed, actionable report with:
- Technological and Operational improvements to positively impact the resilience, performance, security, scalability and cost of the infrastructure
- Cultural and organizational improvements to help improve team interactions, optimize how data is produced and consumed across teams to reduce handovers and improve time-to-value
- Recommendations to improve Data Security and Governance
- Where your organization is now on our data platform maturity ladder.
- A prioritised roadmap with our recommendations and a plan of action to reach the next step on our ladder
- What medium- to long-term actions must be taken to accelerate reaching strategic goals
How we Work
In this assessment, a principal consultant will interview various team members, including product owners and managers, data tech leads, engineers and scientists, platform and/or cloud engineers to understand how your organization uses data and how teams interact.
We’ll look at the technology landscape, including your data platform’s architecture, operational processes, integrations with data sources, look at data pipelines and data processing across data producers and consumers, and dive into security and governance.
After these discussions, we’ll put together a report that summarizes what we learned in simple, clear terms. The report will contain our key findings and identifies areas for improvement. You will have enough information to make these improvements yourself, or we can discuss how we can help with making those improvements.
What do we cover?
In our assessment, we cover the following technological, organizational and cultural aspects:
- Data Platform
- Architecture
- Cloud and Infrastructure
- Database engine and storage
- Data Source integrations
- Data Pipelines
- Data processing (ELT / ETL) pipelines and automation
- Developer Experience across development, test, staging and production
- Data Modelling and Quality
- Master
- Data Modelling Techniques
- Database schemas
- Data Lineage
- Metadata Management
- Data Governance and Security
- Data Standards and Governance
- Identity and Access Management
- Audit Logging
- Data Privacy and Ethics
- Data Cullture
- Data Ownership
- Documentation, programmatic accessibility and associated SLAs
- Master Data Management, sharing and re-use
- Data Skills
- Distribution of skills across teams
- Missing skills
- Training and data literacy
Want to know more?
Contact us through this form, and we’ll schedule a meeting to answer any questions you may have
If you would like to have a PDF of this page to share with your team, you can download it now, no contact details required.