Data Warehouse and Reporting

Slides:



Advertisements
Similar presentations
The Evolution of Business Intelligence at SPC: One Year Later January 2013 Florida Association of Institutional Research Annual Conference.
Advertisements

PeopleSoft EPM & OBIEE Data Warehouse Reporting Project Update Wednesday, April 11, 2012 Tejune Kang, Jen Drake (ITS)
SEM Planning Model.
Lecture 5 Themes in this session Building and managing the data warehouse Data extraction and transformation Technical issues.
From Implementation to Campus Use: Binghamton’s Experience with the ODS Daniel Jardine Alisa Martin Presented to AIRPO Winter Workshop White Plains, NY.
Business Intelligence Michael Gross Tina Larsell Chad Anderson.
Alliance for Strategic Technology (AST) SUNY Business Intelligence Initiative January 8, 2009.
Data Warehousing at Notre Dame October 7, 2004 Dale Carter, Manager, Decision Support Jared Barnard, Database Administrator.
Dana C. Voss Manager, Decision Support Services, UIS University Information Technology Services INDIANA UNIVERSITY May 2003 Copyright Dana C. Voss, 2003.
Data Warehouse Components
Data Warehouse Toolkit Introduction. Data Warehouse Bill Inmon's paradigm: Data warehouse is one part of the overall business intelligence system. An.
An Overview of Data Warehousing and OLTP Technology Presenter: Parminder Jeet Kaur Discussion Lead: Kailang.
LEVERAGING THE ENTERPRISE INFORMATION ENVIRONMENT Louise Edmonds Senior Manager Information Management ACT Health.
Jeremy Brinkman Director of Administrative Systems University of Northwestern Ohio Great Lakes Users’ Group Conference August 10-11,
1 CADE Finance and HR Reports Administrative Staff Leadership Conference Presenter: Mary Jo Kuffner, Assistant Director Administration.
How Business Intelligence Transformed the Culture at SPC June 2013 State Assessment Meeting.
Republic of Albania Ministry of Finance, Treasury System AMoFTS.
Information Assurance The Coordinated Approach To Improving Enterprise Data Quality.
An Update: UGA’s New Student Information System. Project Overview ConnectUGA is the project name for the Banner software implementation of the new student.
Data Warehouse Overview September 28, 2012 presented by Terry Bilskie.
ETL Overview February 24, DS User Group - ETL - February ETL Overview “ETL is the heart and soul of business intelligence (BI).” -- TDWI ETL.
IT Governance Purpose: Information technology is a catalyst for productivity, creativity and community that enhances learning opportunities in an environment.
MIS Reporting Henry Stewart – SunGard Higher Education.
RESULTS-ORIENTED MANAGEMENT Technology Days Presentation June 2, 2014 Presented By: Kevin Stevenson, Nicole Dopson, Candice Lai, and Kyle Roth.
2 Copyright © Oracle Corporation, All rights reserved. Defining Data Warehouse Concepts and Terminology.
Right In Time Presented By: Maria Baron Written By: Rajesh Gadodia
Best Practices in Higher Education Student Data Warehousing Forum Northwestern University October 21-22, 2003 FIRST QUESTIONS Emily Thomas Stony Brook.
REPORTING RIGHT NOW WITH ARGOS JESSICA ASHBROOK – LANSING COMMUNITY COLLEGE BRIAN STEVENS – EVISIONS ACCOUNT EXECUTIVE.
 Understand the basic definitions and concepts of data warehouses  Describe data warehouse architectures (high level).  Describe the processes used.
New Frameworks for Strategic Enrollment Management Planning
Business Intelligence and Decision Support Systems (9 th Ed., Prentice Hall) Chapter 8: Data Warehousing.
REPORTING AT THE UNIVERSITY OF CHICAGO AUGUST 20, 2010.
2 Copyright © 2006, Oracle. All rights reserved. Defining Data Warehouse Concepts and Terminology.
Kansas Education Longitudinal Data System Update to Kansas Commission on Graduation and Dropout Prevention and Recovery December 2010 Kathy Gosa Director,
MIS & Data Consultation
Principles of Good Governance
Making Cross-campus, Inter-institutional Collaborations Work
Western University of Health Sciences
Still a Toddler but growing fast
Community Ethics Network Strategic Planning Results: 2008 and 2011 Kimberley Ibarra Program Evaluation Specialist | Ethics Consultant, Toronto Central.
Data Warehouse Components
Advanced Applied IT for Business 2
Responsibilities & Tasks Week 2
Harvard CRM Service Strategy
Data Warehousing and Data Mining By N.Gopinath AP/CSE
Business Performance Management works for everyone
Welcome! BI Executive Sponsors November 17, 2015
Moving the Needle Conference 2017
Overview of UVA Job Structure
Statistics Canada Internal Services Business Transformation Experience
Educational Information System Replacement Plan Overview
Data as an Institutional Strategic Asset
Data Warehouse Overview September 28, 2012 presented by Terry Bilskie
Volunteer Field Representative Program
What does the business office really do?
Constance Pierson, Ph.D., Associate Vice Provost, IRADS
Optimize faculty load & course scheduling Summary of Recommendations
Business Intelligence
Data Warehouse Overview September 28, 2012 presented by Terry Bilskie
Developing an information portal
Alice Faraone, Villanova University Dan McGee, Villanova University
Data Warehousing Concepts
College Work Readiness Assessment
MIT Institutional Research
Data Governance at UMBC: Built from the Bottom Up
Volunteer Field Representative Program
Hierarchy of Governance Structures – Directorates
Information Technology Organization Overview RFP #220-05
WORK STREAM TEAM DELIVERABLES
IT Next – Transformation Program
Presentation transcript:

Data Warehouse and Reporting Panel Discussion

Panel Participants University of Northern Colorado Bret Naber – Director of Applications and Database Development Colorado School of Mines Tom Boyd - Dean of Graduate Studies Colorado Community College System Julie Ouska - Information Officer / Vice President

UNC Reporting Architecture ODS 3.1.1- Oracle 10.2 - 42 gig EDW 1.4 Nightly Refresh average – 1-2 hours Full Loads – 20-25 hours Banner 7.3.x - Oracle 10.2 - 60 gig Webfocus 7.6.6 Developer Studio Report Caster Resource Analyzer AD Authentication

More information All Faculty/Staff have accounts Three Tiers of users Request access to “Views” Three Tiers of users Report viewer Report writer Report developer

UNC - Project Goals Create a central repository of all critical institutional data that is available to all academic and administrative units Validated data Appropriate data security

UNC - Project Goals continued   Provide relevant , consistent and timely reporting and analysis to decision-makers at all levels of the university Single source of the truth Standardized data definitions Relevant data collected Decentralized skilled report writers Identification of key performance indicators Centralized analysts of complex information

UNC - Project Goals continued Consolidate and streamline existing reporting processes Effectively use specialized skills of complex analysts Leverage business process and subject matter expertise of report writers in administrative areas

TemporaryProject Manager Project Leadership TemporaryProject Manager Decision Support Project and Information Management Team IT ADDS Team System Adminstrator OBIA Strategic Analysts College Power Users & Report Writers Other Academic Power Users & Report Writers Business System Trainer/ Report Director Temp Report Coordinator - Peggy Hoff Administrative Data Stewards (incomplete list) Graduate Robbyn Wacker Report Coordinator Power Users & Report Writers Auxillary Tobias Guzman Financial Aid Donni Clark Student Nolan Oltjenbruns Admissions Chris Dowen HR Marshall Parks Finance Paul Squillace Various Cross-Functional Project Teams

CHECO Building Your Own Data Warehouse September 23, 2008

I’ll go on the record that I don’t recommend the “Build It Yourself” approach. But if you want to go that direction, I have some suggestions. Fall CHECO Conference 11/11/2018

Start by thinking about the end result first Institutional research? Operational reporting? Longitudinal analysis? Student / Financial Aid? Finance? HR? Fall CHECO Conference 11/11/2018

Random Thoughts The more data required, the more complex the infrastructure and technology becomes Analysis over time requires the ability to freeze data snapshots It is not always obvious where the data resides in Banner – you will guess wrong a lot. Think about ETL upfront. Lots of data will probably require an incremental refresh later. Very difficult to retrofit. Not an IT project – executive leadership is required. Functional user input also required. Banner must be the authoritative data source – don’t “fix” stuff in the DW that is wrong in Banner, fix the data/process in Banner. Start small and expand on success Fall CHECO Conference 11/11/2018

Infrastructure is critical If the extract, transform & load process does not work well, your staff will spend all their time working on ETL, and not on developing views and reports. Make it easy to add new data Put data in the DW once, use it many times Agree on the transformational values such as FTE, full-time, part-time, etc., up front and across the institution Fall CHECO Conference 11/11/2018

Success factors Discrete project with a reasonably sized data set Go for the 80/20 rule Look at the reports that are used over & over – variation on a theme Use a web-based, click & point reporting tool for most users Expand use slowly, use focus groups to improve data and delivery Validate data very carefully & thoroughly Fall CHECO Conference 11/11/2018

Additional thoughts or questions?