As the world continued to innovate and evolve, data and its sources grow exponentially, daily. In the age of data discovery, it appears that traditional business intelligence (BI) platforms have failed to keep up with evolving analytical requirements.
According to a Birst White Paper, “the need for organisations to refocus on data governance has re-emerged. Enterprise business leaders demand that a new balance of data management must be established. The new model must promise not only data governance, but also the ability to easily source, share, and manage data across different departments and lines of business with agility. While legacy BI platforms afford analytical strength and governance, they fail to fulfill the needs of today’s ‘discovery-centric’ users.”
Governance in the Modern World
To overcome the sluggish delivery of legacy BI systems, business users have embraced a “imperfect but fast is better than perfect but slow” approach to BI. Using data discovery technologies, businesses are now faced with a new problem; analytical silos that hinder the ability to make decisions with confidence. Today, ensuring BI and analytic success requires acknowledging that some scenarios are more tolerable of imperfect data than others, or don’t require a full view of the business. The reality is that modern businesses need centralised and decentralised governance.
Leverage Trusted Data to Achieve Business Success
The Birst White Paper confirms; “Business users, believing they must choose between agility and governance, seem resigned to accept that self-service comes at the cost of imperfect data. However, leading companies know that there is a powerful and direct correlation between business success and having a trusted view of enterprise data.”
To achieve this, these are capabilities companies should look for when evaluating BI providers:
- Reusability: Enablement of users to create their own measures and dimensions, and instantly make them available to all, while complying with defined security roles and permissions.
- Navigability: The ability to search and browse data and business terms (metadata) across all analytic content, including data sets, visualisations, reports, and dashboards.
- Security: Multiple layers of security can be added to user, role, object, or data-level during discovery and consumption to ensure the right people have access to the right data.
- Networked: A network of interwoven virtual BI instances that share a common analytical fabric, for seamless sharing of measures and dimensions between individuals and groups.
- Completeness: Governance and visibility across all data sets, set once, and available forever, offering reliable data lineage and containing no dark data.
- Consistency: A single view of governed measures and dimensions, for users in both discovery and centralised use cases.
- Transparency at Business Speed: Delivered without administrative overhead.
To discover how iOCO Infor Services can help your organisation achieve this, contact the team by CLICKING HERE.
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