How to Set the Right Initial Scope for Data Governance

Data governance can seem like a daunting task. Described generically, it has the potential to take on an impossibly large scope and a pervasive, enterprise-wide reach. But data governance doesn’t need to solve world hunger … at least not at first. Successful organizations embarking on the data governance journey have thrived by first starting small, proving the value of data governance, and capitalizing on those achievements to expand the scope. The question for those just starting out is: How do we set a manageable initial scope that can produce immediate business benefit while instituting a permanent organizational structure and processes? Read more

Send in the Yellow Jerseys: Organizing for Data Governance

Data governance  institutes a system of accountability when it comes to an organization’s most important data assets. Data providers have an obligation to meet the needs of data consumers when the benefit outweighs the cost. Because this obligation exists across the organization despite functional or geographic distinctions, we have to start with the right organizational structure. Read more

Kalido announces new partnership with Teradata

Today we announced a significant new partnership with Teradata, the world leader in data warehousing and enterprise analytics.  This new alliance will deliver the flexibility and agility of Kalido running on the Teradata family of appliances. With this partnership, customers will be able to rapidly translate business requirements for building new Teradata data marts in weeks, establish new marts to work hand in hand with a Teradata EDW, and use Kalido’s business model based approach to strengthen collaboration between IT and business users through our iterative rapid prototyping approach. Read more

Data Governance Should be Formalized as a Business Process

We at Kalido frequently describe data governance as the business process of managing data assets. Data governance processes are day-to-day activities no different than other end-to-end business processes like order-to-cash and procure-to-pay. Data policies are the instruments of data governance; therefore, activities of data governance should be based on the lifecycle of data policies. We can divide these activities into three sequential steps: policy definition, policy implementation and policy enforcement. Read more