1. Still a Toddler but growing fast
Fall 2013
Still a Toddler but growing fast
It is all about the Process:
The Users; The Sponsors; The Requirements; The Data; The Models; The Presentation layer; The Technology
Fall 2015
Fall 2017
East Carolina University – Enterprise Analytics
Ruben Villasmil -
Beyond

2. The Users Office of the Provost Enrollment Services
Institutional Planning, Assessment
and Research
Registrar Office
Deans, Associate Deans
Dean of Graduate School
Director of Admissions Graduate School
Program Directors
UG Admissions Office
Current Executive Summary Dashboard
Total Registered Students equals
SDM “career feed” Students for Open Enrollment Term

3. The Sponsors
Registrar Office: Initial Commissioning – Fall 2013 – Ongoing Additions
Dean of Graduate School: Key Functional User - Spring 2015
College of Arts and Sciences: Commissioning of Course Section – Spring 2016
College Of Business: Commissioning of Tailored Dashboard - Spring 2017
The Requirements (The need for the Dashboards):
Collect and surface early registration and enrollment data
Be able to compare enrollment to previous years and
drill down to specific categories to include programs
Collect and surface section enrollment data for Course Planning
Surface ongoing operational data after census

4. The Requirements (Time Line)
Initial Requirements
Fall 2013
Data Collection
Built Hist. Data
Parameter Based reports
Spring 2014
Setup SharePoint 2013 Infrastructure
Reqd. For other ITCS projects
Summer 2014
Leverage SharePoint Infrastructure
Created 1st OLAP cube
Prototype-Demo 1st Dashboard
Fall 2014
Updated Dashboard
Dean Of Graduate School Presents single dashboard to Dean’s Meeting
Spring 2015
Go Live Dashboards
(5 views)
May
2015
Course Section Snapshots
Course Section Based Cube
Summer Cube
Spring 2016
Updated Look and Feel all Dashboards
New Summary Dashboard based on tabular technology
Summer 2016
Sql Svr 2016 Infrastructure
Real Time Section Enrollment Tabular Model and Dashboard
Spring 2017
COB Dashboard
Degreeworks Planner Dashboard
WD Dashboards
Summer 2017
Power BI On Premises
Mobile Reports
Fall 2017
Spring 2018
Who Knows
NEXT 2018

5. The Data Over 100 million records and growing.
(It does not include our Enterprise Operational
Data Store ODS records : 1.8 Billion records)

6. The Data (Cont’d) Registration Snapshots *
Live Since January 2014 : Collected over 50 million records: Includes enrollment data after census day
Data is snapshot every morning at 6 am : About 30,000 records.
Rebuilt registration history for Fall and Spring from Fall 2010 to Spring 2014:
Over 22 million records rebuilt up to census day for each term.
Developed Oracle Procedure to mine the registration audit table : Academic period , date and “time of date“
Procedure returns registered students and metadata necessary to build student record. Data accuracy 99.5% of original data (Based on summary comparisons of existing s. Multiple Data Points).
Residency and program information only elements unable to match 100%.
Course Registration Data snapshot at the section level: Began collecting data on Spring Rebuilt CRN data for prior two years using same methodology as Registration Snapshot. Historical and newly collected data at the section level: Over 5+ million records.
Admissions Application Snapshots
Live since April Over 21 million records collected. Data is collected 365 days prior to Beginning of Term (BoT) up to 10 days after (BoT)
Note *: Registration Snapshot is similar to a combination of the SDM Career, Career program and Basic student feed

7. The Data (Cont’d) History Daily Controlled ETL to Load
and Process data.
Uses same infrastructure
as Ellucian ODS (OWB/ODI)
SSAS OLAP cube.
Refreshes every day to
Re-calculate the latest day
Summary Table: Additional Attributes added.
Program Crosswalks
Appends the data for the latest day collected.
(Select count(*) N, a, b, c, d from snapshots
group by a, b, c, d).
Recycles itself (via OWB/ODI ETL) at the beginning
of a new registration term

8. The Data – Multi-Dimensional Model (Cont’d)
Our Approach:
SSAS OLAP cube: Avoid the “STAR”
MS tools allow the cube to be built from
physical Fact tables and Physical Dimensions
(STAR Schema model) or from Edited Queries.
We use a single “Edited Query” for each cube.
Benefits: Avoid the need for physical dimensions,
related sequences and triggers in the Oracle side.
Consideration must be given to the amount
of data to be processed to avoid performance
Issues when processing the cube.
Select from summary table
Added attribute “latest” logic
via case statement

9. The Data – Multi-Dimensional Model (Cont’d)
Key attributes: “Days from Census” and “Registration Day”. Allows dashboard data to be presented from different perspectives.
Model allows for natural hierarchies that are not time based. Allows previous and previous – n values.
OLAP Data surfaced via Sql. Server Management Studio
Dashboard surfacing OLAP data via Excel Services
“Latest” attribute value is used to default the dashboard.

10. The Data – Multi-Dimensional Model : Currently 3 OLAP Cubes
18 Dimensions
Multiple Measure Groups
20 Dimensions
10 measures
20 Dimensions
10 measures

11. The Data – Tabular Model
Section Enrollment Cube
You can import data from multiple sources, and then enrich the model by adding relationships, calculated tables and columns, measures, KPIs, hierarchies.
Key benefits:
- Easy to build
- Allows for direct queries
to Enterprise Data
- Measures based on
DAX
- Data is surfaced to client tools
same as Multi-Dimensional
models
Tabular Model
The Summary Dashboard is based on a Tabular Model
That combines the data from the Registration
and Section Enrollment Cubes
Registration Cube

12. The Presentation Layer
Evolving : From parameter based reports to Interactive dashboards and Mobile Reports

13. The Presentation Layer (Cont’d)
From Subscription Based Daily Report
(Prior to Spring 2014)
To a Parameter Based Report comparing current and previous Year data

14. The Presentation Layer (Cont’d)
From Parameter Based Reports
To Interactive Dashboards Using SharePoint 2013 Excel Services

15. (No credit hour information)
The Presentation Layer (Cont’d)
Summary Dashboard Ver. 1.0 Summer 2015
(No credit hour information)
Summary Dashboard Ver. 2.0 Summer 2016

16. The Presentation Layer (Cont’d)
From Dashboards Based
on MS Excel Services
To Dashboards on MS Power BI On-Premises Server and Mobile Reports
Dashboards based on MS Power BI;
Mobile Reports

17. The Technology
MS BI Stack
Architecture
Oracle Data Appliance Oracle OWB/ODI tools
and Ellucian ODS Software
ECU Enterprise Data Warehouse (EDW): Oracle Data Appliance (RAC based)
With Oracle Data Guard Physical Stand by (back-up site). Oracle OWB/ODI tools and MS SSIS tools for Loading into EDW
Special Thanks to Keith Washer our BI Infrastructure Architect

18. Live Dashboards
Dashboards based on MS Power BI;
Mobile Reports