Analytics outputs are moving from descriptive and diagnostic reports and dashboards to predictive and prescriptive through AI-enabled capabilities and interfaces. As a result, traditional analytic architectures must evolve to become more agile, sophisticated and accessible to the business user. Create consistency and establish trust in analytics. Deliver high-quality data for self-service through a business-friendly data layer, while defining metrics and training users in D&A best practices.
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Head of Analytics and BI
Get actionable, objective insight to help you and your team discover new opportunities and drive value for the business.
Building modern analytics and BI architectures
Improve decision making by understanding and engineering how decisions are made
When designing decision models, organizations have traditionally been subjected to two principal forces: analytics and process modeling systems. Analytics needs process mapping to operationalize its insights; process needs data to get smarter. To build adaptable and resilient systems, organizations should reassemble their decision mechanisms through the decision intelligence discipline.
Top challenges for heads of analytics and BI
Determining Which Decisions to Reengineer and Why
Understanding the decision-making process and aligning core decisions within this framework enables you to begin the conversation and build the business case for moving forward.
Understanding the Roles and Skills to Support Advanced Analytics and AI Initiatives
Define core AI and ML roles and responsibilities to help align the right skills to the required roles for advanced analytics initiatives.
Audit and Migrate Legacy Analytics Dashboards
Many organizations struggle with how to migrate or consolidate their existing analytics dashboards from their legacy systems to new platforms. Use this research to streamline the migration process with a resilient approach.
Improve Decision Making With Data Science
Learn how you can extend the effectiveness of your analytics and BI solutions with data science and machine learning (DSML) techniques to drive better decisions and value outcomes.
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