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DEVELOPMENT, DEPLOYMENT & DELIVERY

Languages and software environments for analytics development as well as analytics deployment and delivery models to help organizations achieve their goals.

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  • TDWI Business Intelligence and Analytics Foundations: Charting the Course to Data-Driven Success

    Business intelligence has evolved dramatically since its introduction over a quarter of a century ago. It is now integrated into many business planning, decision-making, and operational practices and has expanded to provide new capabilities for insight, forecasting, planning, agility, and strategy execution to meet dynamic business needs. more

  • TDWI Business Intelligence and Analytics Architecture

    A business intelligence and analytics architecture is a set of frameworks to organize the data, management, and technical components used to build BI systems and analytical capabilities. Architecture plays an important role in business intelligence and analytics programs and projects, ensuring that the development efforts of multiple projects and teams fit together to form a cohesive and valuable whole. more

  • TDWI Data Warehouse Automation: Better, Faster, Cheaper … You Can Have It All

    Building a data warehouse is among the most labor-intensive and time-consuming activities of BI development. There are many moving parts—requirements, source data analysis, source-target mapping, data acquisition, data transformation logic, ETL design, database loading, scheduling, error handling—and getting it right the first time isn’t easy. more

  • TDWI BI Program Management: A Competency Center Approach to BI Excellence

    A BI program is a large and complex undertaking with competing interests, conflicting priorities, and simultaneous projects that must be managed from a “big picture” point of view. more

  • Hands-on Data Science in R

    With the advent of big data, there is an increased focus on data mining and the value that can be derived from large data sets. Data mining is the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown information for business benefit. more

  • TDWI Project Management for Business Intelligence

    Managing BI projects is a difficult responsibility that challenges even the most experienced IT project managers. Source system dependencies, uncertain data quality, volatile business requirements, and business urgency are but a few examples among a multitude of challenges. more