Good afternoon
Before I begin, allow me to first introduce myself and the organization I work for -SAS.
I am presently the director for professional services for SAS Malaysia and my responsibility is for oversight and success of all our client engagements in Malaysia. I am trained as an engineer but made a career shift to management consulting when I first joined management consulting firm Andersen Consulting which subsequently became Accenture. After 9 years there I moved on to work for the world largest outsourcing company EDS for 7 years and I have now been with SAS for 2 years.
It is indeed an honor for me to be invited to speak at this conference. SAS and I express our gratitude for this opportunity.
I have to say something about SAS – otherwise “potong gaji”
SAS has its roots in acedemia – it was born out of software that was developed by Prof Jim Goodnight and some of his colleagues for agricultural research. Over 35 years it has grown to be:
The worlds largest privately held software company.
50,000 customer over 127 countries.
90% of the Fortune 100 companies uses SAS.
SAS has a unique culture in its campus in NC (focusing on R&D) and has ranked No. 1 in Fortune Magazine’s best place to work – beating companies like Google
In line with the theme of this conference, I’m going to be speaking about how analytics can enable fact based governance in universities and IPTAs.
Education is about Advancement of Knowledge and Dissemination of Truth. But this is not limited to the lecture halls but also for university operations and its governance
Hindsight, …. Insight,…..Foresight
I will first like to share with you
Generically how to enable fact based governance
What is Analytics
How Analytics is enabling fact based governance in other industries
A case study of how Analytics enabled fact based governance
As we were invited to speak here about 10 days ago we didi a little research on what typical university goals and aspirations are. In governing Universities there are many areas that require hindsight, insight and foresight.
A simple example is in income generation
Hindsight: Essential to know how income has been trending over the last few years by college, by section, etc
Insight: What are the income and cost elements that have been increasing or decreasing and why?
Foresight: How does income change with for example, combination of virtual learning environments and physical learning environments?
Similarly for employability – what has been the trend? Hindsight. What are the known factors? Insight. By changing course content, language skills or industry knowledge, will it improve? Foresight.
Step 1. Integrate Data across the enterprise
Challenge : Fragmented data at multiple systems in multiple departments – a common challenge across all industries
Step 2. Equip all decision makers with reporting and analysis capabilities
This is not about producing reporting packs on a monthly basis – but about putting in the hands of decision makers analysis capabilities. For example a bank that we are working with is embarking on having their analytical reports on the ipads of board members for to drill down and understand and make swift fact based decisions in the boardroom.
Identify current and future trends by applying analytical techniques
Discover the complex relationship between factors and model them …. This is predictive analytics.
From “How many first-year students dropped out each past semester?” to “Why did these students drop out?” to “How many will drop out next year?” to “What is the best intervention for the future?”
A simple definition, - analytics is the process of obtaining an optimal or realistic decision based on existing data or information. This information can be internally generated information or external information.
Includes statistical analysis in order to discover and understand historical patterns to predict and improving business performance in the future.
Analytics closely resembles statistical analysis and data mining, but tends to be based on modeling involving extensive computation.
How can Analytics enable fact based governance
- With the right reporting to identify what happened, how many, how often,…….. provide Hindsight
With capabilities to drill down to where exactly the problem stems from, what actions are needed, why is it happening …….. provide Insight
With ability to determine what impact if trends continue, what will be impacted next, whats the best course of action …….. Provide Foresight
1. Financial Services
Banks are the biggest users of analytics. I was involved in a 2 year programme with a large bank where they were looking to improve their governance and management using analytics. We started with the basics –
1. Financials - first in planning and budgeting to understand where the expenses are then in profitability management. This area started with hindsight, insight and then foresight. Impact was huge – the bank discovered some lines of business were unprofitable for years, for example HP. The managment team and the board then had to consider big questions like – why should they continue to offer hire purchase and what could make it profitable?
2. Risk – we helped them establish the hindsight to understand their credit risk of their loan portfolios, we then helped them establish the insight so they head a clear determination based on their historical information, how risky some loans were and their probability of default. Finally we helped them establish foresight by determining based on their historical information and external information what are the key attributes for a loan applicant that had very low probability of default. This transforms who they market to and how they price their loans.
3. Customer Analytics – with the deep insight obtained from the financials and from the risk, the bank could now look at segmenting their customers based on customer lifetime value to the bank – they could see which customer were unprofitable and understand what to do to make them profitable, they had foresight to devise how to market to different segments of customer to cross sell products such as investment units trusts and personal loans to grow their business.
Key decision makers across UCF were being challenged by rapid growth – and finding ways to support and enable this growth while optimizing student experiences.
Enrollment at UCF more than doubled in the past 15 years to over 53,000 students.
As it grew in size to #1 in Fl and #3 in the US, the school wanted to marshal its resources effectively.
To do this, however, business users needed a way to let data drive decisions about students, programs, resources and facilities.
Data was housed in multiple systems. Databases were disconnected, data management was ineffective.
The staff took a few weeks to provide information to its’ consumers.
There is little time left over for actual analysis – to derive insight.
Most reports were in a simple format. Spotting trends was difficult. Drill down analysis for root causes is not possible
The Solution Journey:
Strategic Plan – Data
Integrated solution – SAS Business Analytics Framework – for data warehouse, analytics and information delivery
What was enabled:
Deep analysis and reports on its colleges, programs, student life cycles – admissions, course taking behaviour, retention and completion/continuation patterns.
Internal research on university management – eg. cost studies, faculty activity, benchmarking and resource utilization
Enrollment planning is one of the four main areas for UCF.
They used population projects and high school graduations rates to forecast enrollment and plan demand. They built a model of predictive analysis accurate to 1%.
They now use this for their budgeting, faculty resource planning and course offering planning.
Strategic planning is one of the four main areas for UCF.
UCF benchamraks against 2 peer groups – institutional and aspirational.
They use National Educational statistics to compare and understand – organization, student characteristics, faculty-student ratios, retention and graduation rates.
Driving improvements through execution of their strategic plans some of the aspirational peers have become institutional peers.
Management analysis is one of the four main areas for UCF.
They look at the entire student life cycle and post graduataion success factors
For example they see if they have enrolled elsewhere after UCF and determine how many are finding employment within state, etc..
It gives them a cleare picture of how they are doing at improving employability of their graduates.
Exploratory analysis is one of the four main areas for UCF.
Institutional Research on cost studies, faculty activity, benchmarking and resource utilization are a few examples of their exploratory analysis
If you would like to find out more about this case study or other case studies visit sas.com/higher-education or you could go to our Youtube channel – look for the SAS Software channel and you will be able to see Dr Archer and her team share with you directly how they have enabled fact based governance at the university of central florida.