Business Intelligence Software

For Inquisitive Minds

2

Exploration Acquisition Analysis Analysis

Typical Scientific Data Workflow

1. Data Acquisition • Excel, Access, homebrews • (Electronic?!) forms, notes • LIMS & instruments output • Labmatrix forms & records • Other enterprise resources • etc…

2. Data Exploration

3.Data Analysis • SAS, R • Spotfire • Tableau • Statisticians

• etc…

• Easy, graphical queries • ETL & data cleaning tools • Formulas & calculations • Visualize charts & graphs

Once you have:

1. Collected… ()

2. Standardized… (Not yet? Use built-in data cleaning tools)

3. Normalized… (Not yet? Use built-in formula calculation tools)

…some, or all of your project data,

how do you best make use of them?

Piles of project data from various sources

Domain experts with many complex data questions

Programmers

DB

DB

DB

DB

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

IT / Programmers Domain Experts / Researchers

• Can’t access data by myself • My data inquiries are taking

too long to process • I have many more inquiries

but afraid to ask • IT misinterprets my inquiries • Changed my mind about

inquiries in process already • Data result doesn’t look right • Didn’t IT know I need to relate

A with B in this specific way? • …

• Too many throw-away or one-off project requests

• They keep changing their minds about how to cut the data

• Nothing is standardized • No prioritization: using brute

force approach to grind through all data instead of critical path

• Could use more domain expertise when processing piles of complex data

• …

DNA! Biomarkers! Transcription!

Primary key! Data type! Object model!

Clashing of Expertise

IT / Programmers

DB

DB

DB

DB

DB

The Solution:

Domain Experts

1. Common workspace 2. Shared “language”

centralize

All raw & prepared data can be centralized here. The data processes and data queries are shown graphically, so they are easily understood by both IT and domain experts.

IT / Programmers Domain Experts / Researchers

• Can explore data by myself • Get results from complex questions

in minutes instead of weeks • Gain actionable insights even from

rough or messy data (within institutional guidelines)

• Visually share interesting data queries with colleagues

• Visually share data workflows and issues with IT personnel

• Help IT identify data issues and prioritize fixes

• …

• Centralized environment to prepare and present data sets

• Built-in import, data cleaning, standardization & ontology tools

• Centrally manage data access and audit all changes and activities

• Prepare and fix data issues with guided priority from end-users

• Develop & reuse code for projects via programmatic interface

• Self-serve model allows IT to work on other things

• …

Symbiotic Expertise

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

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.

Current Client Application Areas:

• Clinical & Translational Research

• Biomarker Discovery

• Healthcare Data Utilization/Consumption

• In silico Clinical Trial Feasibility

• Consortium Collaborations

• Cheminformatics Research

• …

Cryptic DB you’ll never

have easy access to

Case Study: Common Problem in Translational Research

The Solution Qiagram: our award-winning “draw-your-question”

interface - SQL or programming training NOT required!

Just drag & drop, and run your query!

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

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

15

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

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.

An enterprise, scalable solution that

communicates with all data sources

ETL Framework

SOAP

tab-delimited text

Data Transformer

Qiagram Core API

Custom Web Services

DB

SOAP Enterprise

System

RMI API RMI Enterprise

System

WEB UI HTTP

DB

Large Flat Files DB

SQL Scripts

Web Forms, Data Files

XML

Java Objects

.TXT

Federation

Engine

DB DB

Many ways to get data into the system:

Qiagram

Framework

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

Proprietary & Confidential

Qiagram: accolades