Gartner research reveals that 87% of organizations have low maturity in Business Intelligence and Analytics. This represents a major obstacle for companies that want to increase the value generated by their data and distance them from so-called advanced analytics, such as Artificial Intelligence and Machine Learning.
Among the characteristics that place companies in the low-maturity category are: the old IT infrastructure, limited collaboration, bottlenecks between IT and business users, data rarely linked to a business outcome, and BI functionality based only in reports.
But how should BI be? What does it take to achieve good maturity?
According to Gartner, there are four steps that Data & Analytics leaders can take in the areas of technology, strategies, governance and people to increase their organizations’ data maturity:
1. Develop a holistic BI strategy
That is, develop data and analysis strategies that talk to each other, with a clear vision. Individual Data & Analytics (D&A) projects can result in inconsistent data silos and processes. For this reason, D&A leaders must coordinate with IT and business leaders to develop continuous and dynamic strategies that can adapt to future business and environmental changes.
2. Create a flexible organizational structure, exploring analysis resources and implementing continuous analysis
With information identification and analysis, future needs can be anticipated and skills and functions are developed in organizations. With limited internal resources for data analysis, a good alternative for D&A leaders is to use consultancies to create and exploit these analysis skills. This speeds up and facilitates the entry of knowledge, in addition to allowing the company to concentrate its resources in other areas.
3. Implement a data governance program
Most organizations with low BI maturity do not have a formal data control program. Data & Analytics leaders can view governance as rules to support business objectives and ensure balance between opportunities and risks in the digital environment.
4. Adopt integrated analysis platforms
Low-maturity organizations often have primitive IT infrastructures. Its Business Intelligence platforms are more traditional and focused on reports, embedded in ERP systems, or simple reporting tools. To improve their analytics maturity, Data & Analytics leaders should consider integrated analytics platforms that extend their current infrastructure to include modern analytics technologies.
Our Data Analytics Journey fits in very well with this process: we understand which step the company is, we apply the solution that matches your current situation and guide the organization in its analytical evolution!