The document describes a business intelligence software called Qiagram that allows non-technical domain experts to easily explore and query complex datasets through a visual drag-and-drop interface without SQL or programming knowledge. It provides centralized data management, integration with various data sources, and self-service visual querying capabilities to help researchers gain insights from their data.

1. Business Intelligence Software For Inquisitive Minds

4. Piles of project data from various sources Domain experts with many complex data questions Programmers DB The Problem: subject matter experts having to go through a (limited) pipeline of IT expertise to answer complex questions about their domain-specific data. IT DB DB DB DB

8. Symbiotic Expertise = smarter & less IT efforts, faster & better data access for domain experts With the ability to explore data easily, domain experts can quickly identify relevant data, gain actionable insights, and better drive efforts SEA OF DATA

9. Meds Patients Step 1. Drag & drop a set of data on top of another. How does work? Patients on Meds Meds Step 2. Data sets are intelligently and automatically connected to each other. Patients Filter Step 3. Expand the scope and detail of your question with additional data sets, filter conditions, calculations, or other kinds of transformations as necessary. Each “node” is live, so you can retrieve and review the results from each step as you build a complex query. Result Set 1 Result Set 2 Combine Filter Pivot You are now trained in using Qiagram.

11. Cryptic DB you’ll never have easy access to Case Study: Common Problem in Translational Research

12. The Solution Qiagram : our award-winning “draw-your-question” interface - SQL or programming training NOT required! Just drag & drop, and run your query!

13. Qiagram: a visual data query tool Example 1: “reporting & operational statistics” data query

14. Qiagram: a visual data query tool Example 2: hypothesis-driven data exploration

15. Qiagram: a better BI tool for translational research (TR) ... the exploratory & discovery nature of TR requires tools specifically designed for TR endeavors, instead of shoe-horning traditional BI technologies. Traditional BI TR Informatics Budget $$$ $ Purpose Operational Exploratory Questions Simple Complex Data Cleaning & Standardization Precursor to meaningful queries Parallel to meaningful queries Data Sources Well understood Ever-changing Data organization Hierarchical Ad hoc Perspective Static Individualized Collaboration Limited Extensive

16. An enterprise, scalable solution that communicates with all data sources SOAP tab-delimited text DB SOAP RMI HTTP DB Large Flat Files DB Web Forms, Data Files XML Java Objects .TXT Federation Engine DB DB Many ways to get data into the system: Qiagram Framework ETL Framework Data Transformer Qiagram Core API Custom Web Services Enterprise System RMI API Enterprise System WEB UI SQL Scripts

17. Centralize Data: web-accessible system enables immediate data staging, multi-site collaboration, data/site management, data QA/review/reports, and instant data querying results; scalable enterprise deployment Clean & Standardize: improve data quality via built-in data cleaning and standardization tools; establish or import vocabularies & standardized data models Enforce User Roles & Permissions: flexible configurations of how different users/groups/TAs can access specific data sets in collaborative settings Maintain Security & Compliance: transmit data securely, facilitate regulatory compliance, and track all data changes via detailed audit logs in this HIPAA/PHI-compliant system; customizable data backup & recovery plans Integration & Interoperability: multiple interfaces to communicate with other data systems in your IT infrastructure; vocabulary & ontology definitions KEY FRAMEWORK FEATURES

18. Proprietary & Confidential Qiagram: accolades