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Levels of the DELTA+
| Question | Answer |
|---|---|
| Inconsistent, low-quality, and unstandardized data hinder meaningful analysis, compounded by a lack of strongly data-oriented groups. | LVL1-Data |
| Data is primarily standardized and structured within functional or process silos. However, there are limited discussion of data management among senior executives. | LVL2-Data |
| Key data domains have been identified, and central data repositories have been established. | LVL3-Data |
| Central repositories contains integrated, accurate, and commonly shared data. However, data remains predominantly an IT concern, with limited attention to unique data needs. | LVL4-Data |
| Continuous pursuit of new data and metrics, harnessing both structured and unstructured data such as text and video. Considers data as a strategic asset. | LVL5-Data |
| Absence of an enterprise-wide perspective on data or analytics is evident, compounded by the challenge of poorly integrated systems. | LVL1-Enterprise |
| The existence of islands of data, technology, and expertise signifies localized value delivery within specific areas or departments | LVL2-Enterprise |
| Emphasis on analytics is primarily centered around specific processes or business units, showcasing a focused approach. | LVL3-Enterprise |
| Key data, technology, and analytics professionals are strategically managed from an enterprise-wide perspective. | LVL4-Enterprise |
| Strategic focus is directed towards aligning key analytical resources with enterprise priorities and fostering differentiation | LVL5-Enterprise |
| Minimal awareness of or interest in analytics within the organization. | LVL1-Leadership |
| Local leaders are emerging, but there is a limited level of connectivity or collaboration among them. | LVL2-Leadership |
| Senior leaders demonstrate a recognition of the crucial importance of analytics and are actively committed to developing analytical capabilities within the organization. | LVL3-Leadership |
| Senior leaders are proactively involved in formulating analytical plans and actively contributing to the development of robust analytical capabilities within the organization. | LVL4-Leadership |
| Effective leaders exhibit analytical behavior and demonstrate a passionate commitment to fostering a culture of analytical competition within the organization. | LVL5-Leadership |
| The current landscape presents a challenge as there are no discernible opportunities for targeted initiatives or strategic interventions. | LVL1-Targets |
| The existing scenario features multiple disconnected targets that often lack strategic significance within the organizational context. | LVL2-Targets |
| Analytical efforts are converging around a concise set of critical targets, showcasing a strategic alignment that emphasizes the prioritization of key objectives. | LVL3-Targets |
| Analytics initiatives are concentrated on a select few key business domains, with a clear focus on achieving explicit and ambitious outcomes | LVL4-Targets |
| Analytics has become an integral component of the company's distinctive capability and overarching strategy. | LVL5-Targets |
| Limited number of skills are currently associated with specific functions within the organization. | LVL1-AnalyticsProfessional |
| Isolated pockets of analytics professionals throughout the organization, and there is a lack of coordinated management regarding the mix of skills within these dispersed groups. | LVL2-AnalyticsProfessional |
| Analytics professionals are acknowledged as key talent within the organization, with a strategic emphasis on directing their expertise towards pivotal business areas | LVL3-AnalyticsProfessional |
| The organization actively recruits, develops, deploys, and engages highly capable analytics professionals. | LVL4-AnalyticsProfessional |
| The organization boasts a cadre of world-class professional analytics experts. In addition, there is cultivation of analytical skills among amateurs across the entire enterprise, fostering a culture of analytical proficiency at all levels. | LVL5-AnalyticsProfessional |
| The current state involves desktop technology and standard office packages being utilized, but there is a notable challenge in terms of poorly integrated systems. | LVL1-Technology |
| Analytical efforts are conducted through individual initiatives, leveraging statistical packages, descriptive analytics, database querying, and tabulations. | LVL2-Technology |
| The organization employs an enterprise-wide analytical plan, incorporating dedicated tools and platforms. | LVL3-Technology |
| The organization employs an enterprise-wide analytical plan and processes, leveraging the capabilities of cloud-based big data solutions. | LVL4-Technology |
| The organization boasts a sophisticated, enterprise-wide big data and analytics infrastructure, incorporating cognitive technologies | LVL5-Technology |
| The current analytical approach is predominantly ad-hoc, relying on simple mathematical methods, extrapolation, and trending for deriving insights. | LVL1-AnalyticalTechniques |
| Analytical methods encompass basic statistics, segmentations, database querying, and tabulations of key metrics, effectively harnessed to derive valuable insights. | LVL2-AnalyticalTechniques |
| The analytical approach involves employing simple predictive analytics, including techniques such as classification and clustering, to generate dynamic forecasts and enhance decision-making processes. | LVL3-AnalyticalTechniques |
| Utilizing advanced predictive methods, the organization deploys sophisticated techniques for uncovering insights. | LVL4-AnalyticalTechniques |
| The organization leverages cutting-edge technologies, including neural networks and deep learning, as well as advanced techniques such as genetic algorithms and machine learning, to push the boundaries of analytical capabilities. | LVL5-AnalyticalTechniques |
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