Unlocking Intelligence with Saviant's BI Maturity Transformation Model
It is well established that data is fundamentally changing the way companies operate. A higher maturity drives companies to make decisions faster, automate processes and thus create value significantly greater than competitors. Our experience however shows that most global enterprises are still capturing only a fraction of the potential value. This essentially means that one view of the entire organization is yet to be achieved and the reporting process often involves high manual effort.
Saviant’s BI Maturity Transformation Model
Saviant’s BI Maturity Transformation Model is a result of our rich Business Intelligence consulting and implementation experience with global organizations across Energy, Utilities, Manufacturing, Logistics, Healthcare & Retail. The intention behind creating the model is to help customers in addressing two key areas in their BI transformation journey:
- Assessment of existing maturity level
- Ready roadmap to progress on this journey
The model describes five levels of maturity which an organization goes through sequentially.
The BI Maturity starts at this level where an organization has defined processes to capture relevant data in respective systems. However, the organization has not started initiatives to combine this data into a single data repository. As a result, the reporting tool is generally function specific.
This level indicates that the data of the entire organization is available in a single data repository and although the transactional data still gets captured in separate systems, the data extraction process from these systems to the data repository is completely automated.
Real intelligence begins at this Level, also called as Reactive Level of BI Maturity. This represents the first and most basic level of intelligence. Organizations operating at this level will exhibit the following characteristics:
- Single source of truth with an MDM layer, aggregations & calculations and best practice architecture optimized for reporting
- Hierarchies and role-based performance metrics to bring context to numbers (Red and Green indicators)
- Dashboards created as per Saviant’s principles of dashboard design
It is worth noting here that Level 3 as the name suggests is still reactive intelligence and the organization acts on what has already happened. While some organizations are enjoying good success by operating at Level 3, most are still exploring possibilities. Our experience of working with various global players reveals that there is a strong willingness to understand this maturity model, assess existing maturity and establish prerequisites that are needed to move from each level to the next.
The next level, Level 4 or Proactive level of the maturity model drives organizations to proactively gauge threshold breaches before they happen. This means that for respective roles, every person gets notified about what might turn red in the near future. This is typically achieved through a set of intelligent notifications that are pushed from the system which demand action to be taken. This ensures that there is time at hand to act and possibly prevent undesirable outcomes. Here, data of proactive action or the lack of it gets captured too.
We have observed that organizations operating at this level of maturity are successful in effective delegation, faster turnaround and getting rid of non-value adding communication across hierarchy.
The final level of BI Maturity Model is the Predictive Level where Organizations move towards highly sophisticated AI / ML use cases. At this level, self-sustained models take hold of processes. The data not only comes from the single source of truth established in Level 3 but also from Level 4 where data related to proactive actions is captured. This ensures that there is continuous learning and event prediction mechanism gets established over time.
While the model itself is fairly easy to understand, it is evident that the BI Maturity is not only a function of maturity of dashboards but also maturity of data and maturity of the organization as a whole. All these factors increase the complexity and hence underlines the need for a coordinated effort to carry out an effective implementation. Our work has shown time and again that moving up this maturity curve leads to top line and bottom-line impact, builds future competitiveness and unlocks real business value.