Adopting a data governance strategy for your newly flowing data lake necessitates some fundamental changes. In this blog post, we discuss some of these changes across people, process and technology dimensions.
Today, with businesses dealing with massive amount of data, it is highly important that their technology landscape include a data lake. In this blog post, we share with you what, why and how to get started with data lake implementation.
Setting up data governance policies involves a lot of stakeholders. In this blog post, we tell you why the marketing team should be a part of data governance conversations and how businesses can find their golden mean when data accessibility becomes a matter of concern.
With businesses collecting huge volume of data and implementing AI technologies for insights, data governance too must shift gears to protect the organization from risks within and outside. This calls for a need to automate data governance. This blog post outlines the need for automation in Data Governance and the processes you can automate to strengthen your DG.
Stepping into an AI-led future, it is important for businesses to be clear about where they stand when it comes to data ethics. This blog post outlines the complex relationship between data ethics and AI, and key guidelines to build trustworthy AI systems.
From master data management being an important part of your data governance strategy to defining your master data and the processes for managing it, we have come to the end of the three-part series. This blog talks about the best practices and steps in creating MDM strategy for efficient business outcomes.
As organisations grow, there is a need to manage data more efficiently — data system becomes efficient when its master data and the processes for managing it are defined clearly, as per business needs. This blog tells us how data governance is different from master data management; how master data can be stored and transmitted across the organisations without any ambiguity.
By including master data management as a part of your data governance strategy, any data related ambiguity or risks can be mitigated. This blog tells us why master data management is important and should be a part of your data governance strategy.
It is important for any organisation that they choose the right tool to manage their data governance programs. Whether the tool is developed in-house or it is a third party tool, there are some key features that the tool must have. This will strengthen the structure, security, interoperability and many other complex depths of data governance. This blog talks about some of the best practices followed to manage your DG programs efficiently and why considering third party DG tools could turn out to be a better option for your organisation. We’ve also recommended some tools based on our experience.
In this era of cloud computing, organizations try to move most data and processes to the cloud barring those restricted by regulatory and performance constraints. With data passing between multiple systems and environments (on-premise and cloud), it is natural to have concerns about data security. A well-formulated data governance policy which includes these integrations will dispel the security concerns. This blog tells us the integration areas that needs to be covered in your data governance policy.