Review Our Analytics Maturity Framework & Schedule Your Consultation
The BlastX Consulting Analytics Program Maturity Framework draws on decades of analytics platform experience across a host of technologies and processes to show you where you are and where you could be.
| STAGE |
 ANALYTICS PROGRAM MATURITY FRAMEWORK
|
|---|---|
|
LEVEL 5 LEADER |
The business is a responsible pioneer, setting standards in analytical culture with continuous innovation and optimization at its core. Integrated data is leveraged to innovate and redefine customer experiences. Analytics is deeply embedded in all aspects of the business, driving decisions. Advanced integration of data is in place, providing a complete view of the customer journey and anticipating future needs for innovation and improved customer experience. Often considered the leader of their industry in customer satisfaction and engagement. |
|
LEVEL 4 ADVANCED |
The business has sophisticated analytical capabilities, using advanced predictive and prescriptive analytics across functions. An integrated data ecosystem is in place to drive personalized experiences. First-party customer data strategy is in place and being leveraged. Analytics is fully integrated into decision making, with cross-functional teams leveraging data for dynamic personalization and product optimization. Advanced analytical techniques, such as machine learning and AI, are leveraged to anticipate customer needs, scale marketing and personalization efforts, and drive innovation. |
|
LEVEL 3 INTERMEDIATE |
The business has integrated the analytics framework more fully across teams with operational KPIs each with identified owners. Descriptive analysis is mostly automated via standardized dashboards and insights are gathered and regularly used for diagnostic purposes. The business is beginning to leverage predictive analytics and to analyze parts of the customer journey. The strategy for data usage and reporting is clear, with cross-functional usage of analytics and sharing of insights is common. Predictive analytics informs marketing, product development, and personalization efforts in a limited capacity. Joined data from various sources are used to gain a holistic view of the customer journey. Often, the effort to join and leverage this data is substantial. |
|
LEVEL 2 BASIC |
The business focuses on descriptive data analysis, primarily through monitoring dashboards and occasional targeted analyses. Efforts to begin understanding certain customer journey touchpoints are forming. The foundational structure for data collection and reporting is in place; however, it is primarily used to monitor what is happening and does not often answer the question of why or what to do about it. As a result, data-driven decision making is still not prolific. This reporting framework has limited integration across roles/functions. Rudimentary mapping of parts of the customer journey exists; however, there is an inability to take action from this data. |
|
LEVEL 1 LAGGING |
The business has minimal or no formal analytics processes, relying primarily on ad-hoc methods and basic data analysis, often accompanied by mistrust in data and an inability to leverage data to make decisions. Data collection is fragmented, inconsistent, and prone to data quality issues. Analytics is an afterthought in the organization with few cited examples of confidently leveraging data to make business decisions or take actions from insights. There’s little to no joined data to form a comprehensive view of the customer experience. |
Where did you land on the scale?
You’re likely not where you need to be, and we can show you how to up-level your Analytics maturity and drive better customer experiences. It all starts with a complimentary conversation with one of our Analytics consultants.
Remember, this will help you:
- Assess the effectiveness of your analytics tools and integrations.
- Identify opportunities to align your analytics with business goals.
- Develop a strategic roadmap to maximize performance and ROI.