I am assembling some presentations for a client on information strategy and thought it it might be interesting to share some of those thoughts as I develop my materials. This post provides a framing definition of information strategy.
A strategy is a plan and set of policies intended to help achieve specific objectives. An information strategy elucidates the way that principles for information use across the organization will help the organization achieve its intended goals. Read more
Continuing dependence on system interoperability for data synchronization, coupled with rapid acceleration of data volume growth combine to create growing challenges associated with data consistency, accuracy, and reliability. Without a strategy for enabling operational synchronization, your organization risks not having the ability to support those critical real-time activities that business processes increasingly demand. Read more
Filed under: Business Intelligence, Business Rules, Recommendations, Replication
In my last post, we looked at some common use cases for operational synchronization, and each of those examples were effectively abstractions of scenarios in which there is benefit in establishing consistency and currency among either logically or physically distinct data assets. For example, creating a holistic and complete view of shared data entities is critical to any distributed master data management repository or distributed identity management service. Read more
Filed under: Data Integration, Metrics, Performance Measures, Replication
In my last post, I introduced the need for operational synchronization, focusing on the characteristics necessary for a reasonable methodology for implementation. In this post, it is worth examining some example use cases that demonstrate the utility of operational synchronization in a more concrete way. Read more
Filed under: Business Intelligence, Data Analysis, Data Integration, Metadata, Recommendations, Replication
Over time, organizations have employed a variety of strategies for managing data assets in accordance with the specific needs of the different business applications in operation. For the most part, applications were designed to achieve specific objectives within each business function. Correspondingly, any data necessary for the business function would be managed locally, while any data deemed critical to the organization would be subsumed into a centralized repository.
Yet this approach to centralizing data has come under scrutiny. Read more