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Organizational Design for an Intelligent Enterprise

At MicroStrategy, we’ve been thinking a lot about how to help our customers make the Intelligent EnterpriseTM a reality. In today’s rapidly evolving business, technological, and regulatory environment, organizations need to be capable of using data to anticipate changes – and convert those changes into opportunity and profit.

In my experience, organizations really struggle with not only the selection of tools to make them more intelligent, but also with how to build and structure teams and marshall resources that transform data into digestible business insight. At MicroStrategy, we have the luxury of working with hundreds of customers who have thousands of users and some of the world’s best business analytics thinkers and practitioners. This has helped us create a perspective on what an organization really needs to think about when building a sustainable intelligent enterprise using today’s tools. Our platform scales for all types of data and global use, but like any business intelligence platform and product, it does so through a collaborative effort inside an organization that involves technical expertise and business process mastery.

This year at MicroStrategy World, we unveiled a “Map of the Intelligent Enterprise” that reflects our perspective on the processes, structures, and roles that organizations need for sustainable usage of business data to deliver insight. This map features an outline of an Intelligence Center function that includes up to nine roles, depending on what an organization is trying to do with its data. As an HR leader, this level of insight is something I wish I had in past positions as I worked to build teams that could leverage powerful business analytic tools, processes, and practices. Here’s a closer look at the nine essential roles:


The Intelligence Director: Intelligence Directors create Intelligence environments by deploying an Intelligence Architecture, supervising an Intelligence Center/Team, and running Intelligence Programs. Their aim is to support enterprise and departmental analytics, as well as mobility applications for all constituents.

The Application Architect: Application Architects create, share, and maintain Intelligence applications for the enterprise. They publish standardized application objects, and promote departmental applications from self-service into the enterprise environment.

Embedded Analytics Architect: The Embedded Analytics Architect injects, extends, and embeds analytics into portals, third-party applications, mobile applications, and white-labelled applications. They are also responsible for publishing web services and data services for use by developers in building departmental applications.

Analytics Architect: Analytics Architects are responsible for the creation, publishing, and optimization of a federated data layer as the enterprise’s single version of the truth. They are responsible for building and maintaining the schema objects and abstraction layer on top of various, changing enterprise assets.

Database Architect: Database Architects must design and maintain database enterprise assets. They are also responsible for optimizing database performance and utilization based on query type, usage patterns, and application design requirements.

Mobile Architect: Mobile Architects build, compile, deploy, and maintain mobile environments and applications. They optimize the user experience when accessing applications via mobile devices and integrate with preferred VPN, SSO, and EMM protocols.

Platform Administrator: Platform Administrators install and configure the Intelligence architecture on-premises and/or in the cloud. They are responsible for maintaining the security layer, monitoring system usage, and optimizing architecture in order to reduce errors, maximize uptime, and boost performance.

Digital Identity Architect: Digital Identity Architects build, compile, deploy, and maintain digital identity applications, integrated with enterprise directories. They are responsible for digitally securing all existing and new logical and physical assets. They also must integrate authentication, communication, and telemetry into other applications.

System Administrator: The System Administrator is responsible for setting up, maintaining, monitoring, and continuously supporting the infrastructure environment through deployment on AWS, Windows, or Linux. Simultaneously, they work to optimize performance and control costs.

Depending on an organization’s business context and strategy, there may be a need for all nine roles or just a subset. It could be that four current employees can fulfill the work of the nine roles, but what our Map provides is a tangible representation of what “ideal” looks like. Building analytics capability requires significant investments of time and capital, be it human or financial. Using the Map to consider the organizational roles and resources to guide your efforts will increase your likelihood of success.

Today’s organizations win by leveraging the data they have available. MicroStrategy’s platform and the presence of an Intelligence Center of Expertise can provide the competitive advantage for organizations that rely on smart decision-making at every level.

To learn more about the Intelligent EnterpriseTM, visit

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