This article is about Tableau BI Governance and its Benefits.
When you are exploring self-service analytics at enterprise scale, BI governance is likely one of your top considerations. Combining process, people, and technology, the Tableau Governance Framework creates accountability and enables to access secure and trusted data and for all skill levels in your organization.
Benefits of Tableau BI Governance
- It has long been believed that the only way to successfully govern a Tableau BI Governance deployment is through rigorous process, tight controls, and restricted access to data and reporting solutions.
- Organizations may think that if the rules are written and enforced by a small the centralized group of individuals residing in IT then the risk of misuse can be higher.
- This rigid approach to BI governance only serves to restrict business users who have the necessary business context and are in the best position to translate and discover data into insights and action.
Organizations that successfully navigate this transition from a culture of empowerment to a culture of restriction will begin to see 5 key benefits:
Broader Adoption for Better Decision Making
- The value of an organization’s data can only be better when its people are empowered to discover, explore, and analyze it in search of key insights.
- A governance model is designed to promote broader adoption and quickly ramp up for new users in a responsible and safe way is required to achieve this goal.
- The impact is exponentially higher when business users, often with little technical skills, are empowered to ask and answer their own questions of data that they know, understand, and trust.
Higher Confidence in the Outcome
- This transformation requires users to become active participants in the governance process that’ll supports an organization analytic initiatives.
- When users are more responsible and feel personally invested the BI (Business Intelligence) governance goes from being a topic that no business user ever wants to talk about to something for which everyone feels personally responsible.
- As users grow even more confident in their findings, they are more interactive to share and collaborate with others, which feeds momentum and broader adoption. This newfound confidence and power is the key to scaling data-driven decision-making across the organization.
Eliminate “Shadow IT”
- Shadow IT organizations are the result of inflexible which has restricted governance policies and this can lead to unsanctioned and untrustworthy analytics. But they can become irrelevant in a BI (Business Intelligence) governance model built on a foundation of empowerment through true self-service.
- The clear cut benefit for users is that eliminating the need for the shadow IT means that they can invest fully in a sanctioned and a trusted environment to support their business process and no need to sacrifice safety for agility.
A More Strategic IT Team
- When the BI governance initiative is to restrict access that is mandatory, IT resources spend a disproportionate amount of their valuable time defining and enforcing rules.
- By adopting a BI governance strategy which encourages the broad use and also shifts the burden of self regulation to the users of the environment, IT can assume a more strategic role in supporting BI initiatives.
- This changes in mindset creates opportunities for IT professionals to move closer to the business processes that they are charged with supporting. With increased bandwidth the IT can focus on R&D and innovation and then bring to light new data sources as well as new techniques and tools that enhance the value of BI to the organization.
Trusted Security by Reducing Risk
- Organizations that embrace a restrictive approach to governance often have a negative sense of security when it comes to how analytics and data are being used.
- If shadow IT and users groups are using data curated by IT as a source to feed downstream processes and analyses outside the purview of IT, the degree to which it can be considered as trusted and safe deteriorates considerably.
- If users have trust in the governance process and trust that the rules can reflect on understanding of the needs of the business and the inherent need for agility, they are far more likely to play by the rules regulations and avoid taking the unnecessary risks.
- With analytics and BI platform modernization on the minds of many organizations, the time is right to adopt a governance model that is designed to empower users to self-serve responsibly and maximize the impact of analytics.