- Data architecture projects have often failed in the past, causing businesses today to view the launch of a new project as a costly initiative with unclear business value.
- New technologies in big data and analytics are requiring organizations to modernize their data architecture, but most organizations have failed to spend the time and effort refining the appropriate data models and blueprints that enable them to do so.
- As the benefits for data architecture are often diffused across an organization鈥檚 information management practice, it can be difficult for the business to understand the value and necessity of data architecture.
Our Advice
Critical Insight
- At the heart of tomorrow鈥檚 insights-driven enterprises is a modern data environment anchored in fit-for-purpose data architectures.
- The role of traditional data architecture is transcending beyond organizational boundaries and its focus is shifting from 鈥渒eeping the lights on鈥 (i.e. operational data and BI) to providing game-changing insights gleaned from untapped big data.
Impact and Result
- Perform a diagnostic assessment of your present day architecture and identify the capabilities of your future 鈥渢o be鈥 environment to position your organization to capitalize on new opportunities in the data space.
- Use Info-Tech鈥檚 program diagnostic assessment and guidance for developing a strategic roadmap to support your team in building a fit-for purpose data architecture practice.
- Create a data delivery architecture that harmonizes traditional and modern architectural opportunities.