Why a Data Diagnostic?
Leaders hire us to perform a Data Diagnostic of their organization to address these main concerns:
- What should be our approach to data?
- How to secure data effectively?
- How to get the most value out of data?
- How to optimize data-processing tasks to save employee time?
- Inadequate data tools and systems
The goal of the diagnostic is to help our clients:
- Understand the roots of problems (causes and consequences for ecosystem around it)
- Identify strengths and weaknesses of systems, processes, strategies, and organization
- Provide concrete and feasible ways to improve, ordered by priority level
In a Data diagnostic, we examine the following topics:
- Understanding of client business and main processes
- Data Organization
- Data Inventory (types of data used by the organization)
- Inventory of IT Systems & Tools (hardware, software, databases, AI & Automation, specialized tools)
- Data Collection & Storage
- Data Security
- Data Integrity
- Data Analytics, Visualizations, Dashboards
- Data Exchange/Sharing
- People & Organization
Process & Deliverables
The duration of a Data Diagnostic varies, based on the size of the organization and required level of depth. For a small business (less than 50 people), it can be done in 1-2 days. For a division of a large corporation, it can take 2+ weeks.
We present our findings during an in-person meeting and in a written report.
As with all our diagnostics, the Data Diagnostic includes individual interviews, group meetings, and independent examination, all conducted on site at the client. The meetings parts of the Diagnostic are often combined with an Executive Workshop in order to save time and deliver more value for the diagnostic participants involved. The Executive Workshop enables to share more expert knowledge and examples and have more time to answer client questions about the diagnostic topics.
A Data Diagnostic can lead to a follow-on project of Solution Design & Implementation to fix some of the problems identified in the diagnostic.