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Posts Tagged ‘universities’

Oracle’s Solutions to Some of Higher Education’s Challenges

Monday, April 13th, 2009

No one would argue that much is turbulent in our economy today, and this turbulence certainly extends to educational institutions as well. Yet, even in more stable times, educational institutions are subject to changing enrollment trends and regulatory requirements, regardless of the economic conditions, and their leaders must maintain the institutions’ abilities to perform. In spite of cuts in budgets and resources, colleges and universities must find ways to thrive in the face of the following challenges:
- State colleges are being deluged with record numbers of student applications, while applications for private colleges are declining due to the higher tuition costs at these institutions.
- Community and specialty colleges are showing increases in the numbers of applications, due to lower costs of tuition and a workforce seeking to retool skill sets in preparation for “the next big thing.”
- Business colleges and universities continue to receive student applications from strong international candidates, despite stringent admission and immigration requirements.
- Federal student financial aid reporting requirements are changing in 2009, along with many college board, state and local reporting requirements.

To meet these challenges, educational institutions are faced with a dilemma. They must either (A) continuously modify their current Student Administration systems to address the new requirements, or (B) upgrade their current Student Administration systems to incorporate new requirements.

At the HEUG (Higher Education User Group) Alliance 2009 conference in Anaheim, California, Oracle addressed the educational challenges by stating the following commitments, relative to its PeopleSoft Campus Solutions product:
- Minimize operational disruption and the capital costs that have often been experienced with major upgrades
- Deliver Campus Solutions as a stand-alone instance
- Give customers options for HCM (Human Capital Management) integration

The release of Campus Solutions 9.0 achieves these goals by offering the following for upgrade customers:
- Campus Solutions 9.0 (CS 9.0) will be the base foundation application being supported.
- CS 9.0 will be independent of HCM 9.1 (CS 9.0 remains connected to HCM 9.0).
Additional changes will be implemented using feature packs. A feature pack is one or more enhancements and/or one or more new features that can be applied directly to the current release, without an upgrade event.
Campus Solutions products will be migrated to service-enabled technology over time.
- CS 9.0 includes enhancements and features that were originally targeted for CS 9.1.
- HCM 9.1 and CRM 9.1 integration are included.
- Service-enabled core product modules (Admissions, Enrollment, etc.) are included.

For those who choose the Oracle legacy path (option A), the caveats are as follows:
- If you are on Campus Solutions 8.9 or earlier, support will last only the next few years and will vary by support contract.
- Any future government-mandated changes will require software customizations.
- Maintenance to legacy systems will need to address both new requirements and modifications to old requirements.

The key benefit in the upgrade option is no further upgrade events. Anyone who has gone through an upgrade realizes the resources, expenses and time needed for such an endeavor. Limiting that impact by using service-enabled (e.g, Oracle Fusion or Java-based) modules is clearly a step in the right direction, and minimizes the impact on costs and resources.

Digital Dashboard for Higher Education (Part 7): Conclusion

Tuesday, September 9th, 2008

In this new era of modern technology, Higher Education is in the midst of rapid change in response to environmental, social, economic, technological and political transformations occurring worldwide. As a result, institutions of Higher Education are facing ever more numerous operational challenges. In order to survive these challenges, Higher Education needs new institutional strategies and decision-making processes. For a Higher Education institution to prosper and perform efficiently, all levels of campus staff and administration must collaborate to create a wave of change by implementing Business Intelligence to manage and monitor campus performance. Going one step higher, a digital dashboard provides a view of campus performance that can be directly mapped to campus vision and mission.

So to all Higher Education institutions out there, please take this opportunity to re-strategize your campus performance management in order to gain or maintain a competitive edge!

Digital Dashboard for Higher Education (Part 6): Improving Performance Using Business Intelligence

Friday, August 29th, 2008

In our last entry, we discussed the data warehouse’s role in the digital dashboard for Higher Education. In parallel to the data warehousing technology, Business Intelligence (BI) is a system of reports, metrics and dashboards designed to drive decisions that optimize an organization’s performance. Reports, scorecards and digital dashboards are some BI applications that could be designed using data warehousing technology. Business Intelligence components reside on the data warehousing platform to enable end users to access them more efficiently.

BI performance management software for Higher Education enables you to:
• Calculate curriculum costs
• Identify good fundraising programs and sources (e.g., Alumni)
• Monitor student headcount and performance, program outcomes, school reputation, national agendas and other KPIs
• Share secure Web-based information with all stakeholders
• Manage endowments and recruitment through driver-based planning
• Spot high- and low-performance schools or programs
• Map enrollment to attendance and attendance to performance
• Speed compliance reporting

We’ll wrap up with our conclusions regarding the digital dashboard for Higher Education in our next entry.

CUNY’s Green Mission

Thursday, August 28th, 2008

The City University of New York (CUNY) is a GREEN leader of huge proportions! CUNY presented a very energizing Webinar yesterday that consisted of a discussion – moderated by a representative of the Center for Digital Education – with Ron Spalter, Executive Director for the CUNY Task Force on Sustainability, and Tria Case, CUNY University Director of Sustainability.

CUNY enrolls 400,000 students and, with all of its 10,000 faculty members and employees included, has about 500,000 people moving through the campuses of its 23 colleges in New York City every day. CUNY occupies 29 million square feet of real estate and consumes 1% of the city’s entire energy load. The system is huge and, right now, it is embarking on changes that will make a huge impact on the environment. The goal is to reduce the institution’s carbon footprint by 30% by 2017.

From an IT perspective, CUNY is changing out all legacy systems and deploying Oracle/PeopleSoft as its base for gaining efficiencies and reducing energy usage. But that is only a small part of the plan. It’s comprehensive, with high participation across all campuses. From the sound of it, the initiative is extremely well orchestrated and no stone has been left unturned.

Check out the CUNY Web site to learn more. You may also be interested in checking out their October 30, 2008, Sustainability Conference. CUNY is committed to minimizing its ecological impact and investing the resources to “construct, retrofit and maintain more sustainable facilities,” and they want to share ideas to ensure success. In addition to the October 30 conference, CUNY is forming an advisory board consisting of a broad spectrum of industry leaders from financial services and utility companies, as well as the “new green industry.”

We’re impressed with this undertaking and wish CUNY the highest degree of success. The road to sustainability will certainly require a sustained effort, and it sounds like they have put the foundation in place to move their enormous and highly complex institution successfully along the path toward their vision. GO CUNY!

Digital Dashboard for Higher Education (Part 5): Data Warehouse

Monday, August 25th, 2008

Data warehouse and Business Intelligence go hand-in-hand with the design requirements of a digital dashboard for Higher Education. The data warehouse provides a platform to store campus-wide information from multiple operational datamarts. In this entry, we’ll discuss the role of the data warehouse in developing the digital dashboard for Higher Education. In our next entry, we’ll cover how to improve performance using Business Intelligence.

Executives at Higher Education institutions are increasingly in need of timely and accurate information to make critical business decisions, assess risks against benchmarks and respond quickly to market changes. Like growing commercial industries, Higher Education is in need of accurate, timely and relevant information on which to base decisions, not only for long-term planning, but also to address day-to-day developments. In order to store vast amounts of historical data electronically and to facilitate reporting and analysis work, Higher Education needs to develop the proper data warehousing architecture.

Business Intelligence applications rely on Data Warehouses, as they function as database repositories designed to support a company’s decision-making process. Information populated on digital dashboards are extracted and transformed from Data Warehouses. For bloggers, a digital dashboard is an aggregation of different types of information accessible from a single Web page.

Data warehouses are assuming a more strategic role in making these business decisions, addressing these three challenges:
1.        Delivering near real-time data
2.        Integrating the applications that make the best use of the data
3.        Providing transparent access to systems that contain business-critical data

Solving these challenges typically requires retrieving and analyzing data; extracting, transforming and loading data; and managing the elements of the data dictionary. Data warehouses are optimized for speed of data retrieval, so even for the largest databases, retrieval speed is not a major concern. Multi-dimensional modeling and denormalized data are key factors that contribute to the fast and efficient performance of a data warehouse that directly expedites the data population on a digital dashboard.

Again, we will cover the Business Intelligence end of the Data Warehouse/Business Intelligence equation in our next blog entry.