Having the right data architecture can make all the difference in making information work efficiently and effectively for the organization. But simply having the architecture and design is not sufficient. The up to date data engineering knowledge to create that architecture is critical.
Data Architecture is a lot like regular architecture. We work with our clients to understand their business and how it works. Rather than designing a building we design how to store and manage their data to maximize the business benefits.
A few of the benefits of a strong data architecture include:
- There is one source of the truth for business decision-making.
- Onboarding new staff and getting them up to speed and contributing is expedited.
- Management costs of storing and managing and backing up data are minimized.
- Regulatory requirements around privacy, data retention and documented processes are addressed.
- Much of the time spent searching for, manipulating and verifying data is eliminated.
How do we develop a data architecture? We use our experience over the last twenty-plus years combined with a number of specialized tools.
- Questionnaires to understand the business and its current use of information as well as desired state.
- Tools that can crawl an organization’s data and deliver a data inventory.
- Collaborative design methodologies to walk through business processes and understand how data evolves
through these processes and activities.
- Assessment worksheets to understand where the organization lies on an information management maturity
What is the outcome of a data architecture project?
- A small set of principles to help guide and expedite future decision making about staffing roles,
technology purchases and initiatives related to data.
- Recommendations on a list of prioritized initiatives to help move the organization towards their
goals for information management.
- Several data architecture diagrams to describe the desired architecture.
- A one-page breakdown of roles and responsibilities by person related to data architecture.