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Governance: It's good for your data

07.12.19

Read this if you are an Institutional Research (IR) Director, a Registrar, or are in the C-Suite.

In my last blog, I defined the what and the why of data governance, and outlined the value of data governance in higher education environments. I also asserted data isn’t the problem―the real culprit is our handling of the data (or rather, our deferral of data responsibility to others).

While I remain convinced that data isn’t the problem, recent experiences in the field have confirmed the fact that data governance is problematic. So much, in fact, that I believe data governance defies a “solid,” point-in-time solution. Discouraged? Don’t be. Just recalibrate your expectations, and pursue an adaptive strategy.

This starts with developing data governance guiding principles, with three initial points to consider: 

  1. Key stakeholders should develop your institution’s guiding principles. The team should include representatives from areas such as the office of the Registrar, Human Resources, Institutional Research, and other significant producers and consumers of institutional data. 
  2. The focus of your guiding principles must be on the strategic outcomes your institution is trying to achieve, and the information needed for data-driven decision-making.
  3. Specific guiding principles will vary from institution to institution; effective data governance requires both structure and flexibility.

Here are some baseline principles your institution may want to adopt and modify to suit your particular needs.

  • Data governance entails iterative processes, attention to measures and metrics, and ongoing effort. The institution’s governance framework should be transparent, practical, and agile. This ensures that governance is seen as beneficial to data management and not an impediment.
  • Governance is an enabler. The institution’s work should help accomplish objectives and solve problems aligned with strategic priorities.
  • Work with the big picture in mind. Start from the vantage point that data is an institutional asset. Without an institutional asset mentality it’s difficult to break down the silos that make data valuable to the organization.
  • The institution should identify data trustees and stewards that will lead the data governance efforts at your institution
    • Data trustees should have responsibility over data, and have the highest level of responsibility for custodianship of data.
    • Data stewards should act on behalf of data trustees, and be accountable for managing and maintaining data.
  • Data quality needs to be baked into the governance process. The institution should build data quality into every step of capture and entry. This will increase user confidence that there is data integrity. The institution should develop working agreements for sharing and accessing data across organizational lines. The institution should strive for processes and documentation that is consistent, manageable, and effective. This helps projects run smoothly, with consistent results every time.
  • The institution should pay attention to building security into the data usage cycle. An institution’s security measures and practices need to be inherent in the day-to-day management of data, and balanced with the working agreements mentioned above. This keeps data secure and protected for the entire organization.
  •  Agreed upon rules and guidelines should be developed to support a data governance structure and decision-making. The institution should define and use pragmatic approaches and practical plans that reward sustainability and collaboration, building a successful roadmap for the future. 

Next Steps

Are you curious about additional guiding principles? Contact me. In the meantime, keep your eyes peeled for a future blog that digs deeper into the roles of data trustees and stewards.
 

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“The world is one big data problem,” says MIT scientist and visionary Andrew McAfee.

That’s a daunting (though hardly surprising) quote for many in data-rich sectors, including higher education. Yet blaming data is like blaming air for a malfunctioning wind turbine. Data is a valuable asset that can make your institution move.

To many of us, however, data remains a four-letter word. The real culprit behind the perceived data problem is our handling and perception of data and the role it can play in our success—that is, the relegating of data to a select, responsible few, who are usually separated into hardened silos. For example, a common assumption in higher education is that the IT team can handle it. Not so. Data needs to be viewed as an institutional asset, consumed by many and used by the institution for the strategic purposes of student success, scholarship, and more.

The first step in addressing your “big” data problem? Data governance.

What is data governance?

There are various definitions, but the one we use with our clients is “the ongoing and evolutionary process driven by leaders to establish principles, policies, business rules, and metrics for data sharing.”

Please note that the phrase “IT” does not appear anywhere in this definition.

Why is data governance necessary? For many reasons, including:

  1. Data governance enables analytics. Without data governance, it’s difficult to gain value from analytics initiatives which will produce inconsistent results. A critical first step in any data analytics initiative is to make sure that definitions are widely accepted and standards have been established. This step allows decision makers to have confidence in the data being analyzed to describe, predict, and improve operations.
     
  2. Data governance strengthens privacy, security, and compliance. Compliance requirements for both public and private institutions constantly evolve. The more data-reliant your world becomes, the more protected your data needs to be. If an organization does not implement security practices as part of its data governance framework, it becomes easier to fall out of compliance. 
     
  3. Data governance supports agility. How many times have reports for basic information (part-time faculty or student FTEs per semester, for example) been requested, reviewed, and returned for further clarification or correction? And that’s just within your department! Now add multiple requests from the perspective of different departments, and you’re surely going through multiple iterations to create that report. That takes time and effort. By strengthening your data governance framework, you can streamline reporting processes by increasing the level of trust you have in the information you are seeking. Understanding the value of data governance is the easy part/ The real trick is implementing a sustainable data governance framework that recognizes that data is an institutional asset and not just a four-letter word.

Stay tuned for part two of this blog series: The how of data governance in higher education. In the meantime, reach out to me if you would like to discuss additional data governance benefits for your institution.

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Data is a four-letter word. Governance is not.

As a new year is upon us, many people think about “out with the old and in with the new”. For those of us who think about technology, and in particular, blockchain technology, the new year brings with it the realization that blockchain is here to stay (at least in some form). Therefore, higher education leaders need to familiarize themselves with some of the technology’s possible uses, even if they don’t need to grasp the day-to-day operational requirements. Here’s a high-level perspective of blockchain to help you answer some basic questions.

Are blockchain and bitcoin interchangeable terms?

No they aren’t. Bitcoin is an electronic currency that uses blockchain technology, (first developed circa 2008 to record bitcoin transactions). Since 2008, many companies and organizations utilize blockchain technology for a multitude of purposes.

What is a blockchain?

In its simplest terms, a blockchain is a decentralized, digital list (“chain”) of timestamped records (“blocks”) that are connected, secured by cryptography, and updated by participant consensus.

What is cryptography?

Cryptography refers to converting unencrypted information into encrypted information—and vice versa—to both protect data and authenticate users.

What are the pros of using blockchain?

Because blockchain technology is inherently decentralized, you can reduce the need for “middleman” entities (e.g., financial institutions or student clearinghouses). This, in turn, can lower transactional costs and other expenses, and cybersecurity risks—as hackers often like to target large, info-rich, centralized databases.

Decentralization removes central points of failure. In addition, blockchain transactions are generally more secure than other types of transactions, irreversible, and verifiable by the participants. These transaction qualities help prevent fraud, malware attacks, and other risks and issues prevalent today.

What are the cons of using blockchain technology?

Each blockchain transaction requires signature verification and processing, which can be resource-intensive. Furthermore, blockchain technology currently faces strong opposition from certain financial institutions for a variety of reasons. Finally, although blockchains offer a secure platform, they are not impervious to cyberattacks. Blockchain does not guarantee a hacker-proof environment.

How can blockchain benefit higher education institutions?

Blockchain technology can provide higher education institutions with a more secure way of making and recording financial transactions. You can use blockchains to verify and transfer academic credits and certifications, protect student personal identifiable information (PII) while simultaneously allowing students to access and transport their PII, decentralize academic content, and customize learning experiences. At its core, blockchain provides a fresh alternative to traditional methods of identity verification, an ongoing challenge for higher education administration.

As blockchain becomes less of a buzzword and begins to expand beyond the realm of digital currency, colleges and universities need to consider it for common challenges such as identity management, application processing, and student credentialing. If you’d like to discuss the potential benefits blockchain technology provides, please contact me.

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Higher education and blockchain 101: It's not just for bitcoin anymore

The late science fiction writer (and college professor) Isaac Asimov once said: “I do not fear computers. I fear the lack of them.” Had Asimov worked in higher ed IT management, he might have added: “but above all else, I fear the lack of computer staff.”

Indeed, it can be a challenge for higher education institutions to recruit and retain IT professionals. Private companies often pay more in a good economy, and in certain areas of the nation, open IT positions at colleges and universities outnumber available, qualified IT workers. According to one study from 2016, almost half of higher education IT workers are at risk of leaving the institutions they serve, largely for better opportunities and more supportive workplaces. Understandably, IT leadership fears an uncertain future of vacant roles—yet there are simple tactics that can help you improve the chances of filling open positions.

Emphasize the whole package

You need to leverage your institution’s strengths when recruiting IT talent. A focus on innovation, project leadership, and responsibility for supporting the mission of the institution are important attributes to promote when recruiting. Your institution should sell quality of life, which can be much more attractive than corporate culture. Many candidates are attracted to the energy and activity of college campuses, in addition to the numerous social and recreational outlets colleges provide.

Benefit packages are another strong asset for recruiting top talent. Schools need to ensure potential candidates know the amount of paid leave, retirement, and educational assistance for employees and employee family members. These added perks will pique the interest of many candidates who might otherwise have only looked at salary during the process.

Use the right job title

Some current school vacancies have very specific job titles, such as “Portal Administrator” or “Learning Multimedia Developer.” However, this specificity can limit visibility on popular job posting sites, reducing the number of qualified applicants. Job titles, such as “Web Developer” and “Java Developer,” can yield better search results. Furthermore, some current vacancies include a number or level after the job title (e.g., “System Administrator 2”), which also limits visibility on these sites. By removing these indicators, you can significantly increase the applicant pool.

Focus on service, not just technology

Each year, institutions deploy an increasing number of Software as a Service (SaaS) and hosted applications. As higher education institutions invest more in these applications, they need fewer personnel for day-to-day technology maintenance support. In turn, this allows IT organizations to focus limited resources on services that identify and analyze technology solutions, provide guidance to optimize technology investments, and manage vendor relationships. IT staff with soft skills will become even more valuable to your institution as they engage in more people- and process-centric efforts.

Fill in the future

It may seem like science fiction, but by revising your recruiting and retention tactics, your higher education institution can improve its chances of filling IT positions in a competitive job market. In a future blog, I’ll provide ideas for cultivating staff from your institution via student workers and upcoming graduates. If you’d like to discuss additional staffing tactics, send me an email.

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No science fiction: Tactics for recruiting and retaining higher education IT positions

We humans have a complex attitude toward change. In one sense, we like finding it. For instance: “Now I can buy something from the vending machine!” In reality, we try to avoid change as much as possible. Why? Because it’s frightening. Consider this quote from Mary Shelley’s Frankenstein: “Nothing is so painful to the human mind as a great and sudden change.”

The key word in that quote is “sudden.” Because the more we prepare for change, the less painful it becomes. One crucial way to prepare for change is to assess how ready we are for something new.

Which brings us to you. The fact you are reading a blog post with the words “Readiness for Enterprise Systems” in its title suggests that you have considered, or are considering, changing your institution’s Enterprise Resource Planning (ERP) system or other enterprise software, such as LMS, SIS, CRM, etc. This change is no minor adjustment.

Enterprise systems are complex, impacting institutional activities at many levels, from managing student records, finances, and human resources, to enabling student enrollment and registration. Is your institution prepared for transformation across the organization? To find out, assess your institution’s readiness for change. To help illustrate what an assessment might entail, I’ll outline BerryDunn’s method.

Step #1: Understanding Key Indicators for Readiness
When assisting a client to determine readiness, BerryDunn begins engaging stakeholders from across the institution (e.g., staff, faculty, and students) to understand the current environment. This allows us to address seven key indicators for change readiness:

  1. Stakeholder Buy-In. The key to success in changing an ERP platform is for users to understand the value that the change will bring. “Do stakeholders know how the new system will benefit them? Or, from their perspective, ‘What’s in it for me (aka, WIIFM)?’”
  2. Executive Sponsorship. In order to obtain stakeholder buy-in, leaders have to communicate effectively with various parties about change. They will be required to display strong and consistent leadership when stakeholders are faced with challenges with vendors, timing, scope creep, or other issues. “Are leaders prepared to lead the charge? Are they committed to change?”
     
  3. Vendor Ability. Each institution has specific operational needs and programmatic objectives. ERP vendors will highlight their strengths and may de-emphasize weaknesses that may exist in their products. “Are vendors actually able to meet the institution’s functional needs and align their software with strategic objectives?”
     
  4. Business Process Redesign. As mentioned above, it can be a struggle to align operational needs and programmatic objectives with vendor software. It’s even harder to achieve this while ensuring that, in implementing a new ERP system, an institution won’t lose valuable functionality that had been provided by the previous ERP. “Does the client fully understand the impact of a new ERP system on their processes?”
     
  5. Project Management. Proactive project management is critical when changing an ERP system. Project managers need to engage institutional stakeholders, project sponsors, and vendors to keep them apprised of progress. “Are project managers empowered to maintain strong communication with all stakeholders?”
     
  6. Data Governance. Another key indicator of ERP readiness is how well-defined data management is before implementation. ERP replacement projects are jeopardized when institutions don’t understand their data assets, or don’t know what level of data migration is necessary. “Is the institution prepared for data migration?”
     
  7. Software Change Management. As ERP vendors move their products to the cloud, the software they sell will become less customizable, but more configurable. In other words, customers won’t necessarily be able to modify the base software code, but they will have more options in regards to defined fields, workflow, and user interface. Although this sounds limiting, it is actually an opportunity to streamline operations, add discipline to software update timelines, and require organizations to consider how to best complete their administrative functions. It is critical that an institution adapt its software change management practices to meet this reality. “Do the institution’s software change management practices reflect how software is delivered by vendors today?”

Step #2: Establish Agreed-Upon Metrics
Based on our analysis from Step #1, we then score these indicators of readiness based on a maturity scale from 0 – 5, using the following parameters:

0  Non-existent
1  Aware, but not ready to change
2  Aware and open to change, but lack understanding of path forward
3  Accept that change is needed, but clear action plan is not in place
4  Accept that change is imminent and is being planned for
5  Readiness for change has broad understanding, is accepted, and is being executed 

Step #3: Score the Readiness of Your Organization
When you work with a consulting firm to assess your institution’s readiness for change, you should expect tangible takeaways that will inform stakeholders and provide a baseline metric. For example, we prepare a brief report that outlines a score for each of the seven maturity indicators of ERP readiness and provides supporting information for the basis of each score.

Here is an example of a Software Change Management section from a hypothetical ERP Readiness Report:

READINESS INDICATORS

BASIS FOR SCORE

SCORE (0 – 5)

Software Change Management

The University does have an effective software change management methodology, and a standard process for prioritizing requests to its current ERP system. This model may change significantly if a cloud system is chosen, and will require a new approach to configuration and asset management.

3


Finally, based on the weighted aggregate score of the report, BerryDunn determines the institution’s readiness for change, and provides recommendations on how to remediate low scores, and sustain higher scores.

Now for the good news. By setting a baseline early in your readiness planning, the scoring can be revisited over time to measure progress and provide project leadership with a simple, but effective, approach to tracking change management within the organization.

Next Steps
As you can see, implementing a new ERP doesn’t have to be a monstrous experience. You simply need to determine your ERP readiness, and follow a common-sense plan for change management. If you’d like to talk more about this process, send me an email: dhoule@berrydunn.com. I look forward to learning about the great changes your institution has planned.

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Assessing organizational readiness for enterprise systems

Focus on the people: How higher ed institutions can successfully make an ERP system change

The enterprise resource planning (ERP) system is the heart of an institution’s business, maintaining all aspects of day-to-day operations, from student registration to staff payroll. Many institutions have used the same ERP systems for decades and face challenges to meet the changing demands of staff and students. As new ERP vendors enter the marketplace with new features and functionality, institutions are considering a change. Some things to consider:

  1. Don’t just focus on the technology and make change management an afterthought. Transitioning to a new ERP system takes considerable effort, and has the potential to go horribly wrong if sponsorship, good planning, and communication channels are not in place. The new technology is the easy part of a transition—the primary challenge is often rooted in people’s natural resistance to change.  
  2. Overcoming resistance to change requires a thoughtful and intentional approach that focuses on change at the individual level. Understanding this helps leadership focus their attention and energy to best raise awareness and desire for the change.
  3. One effective tool that provides a good framework for successful change is the Prosci ADKAR® model. This framework has five distinct phases that align with ERP change:

These phases provide an approach for developing activities for change management, preparing leadership to lead and sponsor change and supporting employees through the implementation of the change.

The three essential steps to leveraging this framework:

  1. Perform a baseline assessment to establish an understanding of how ready the organization is for an ERP change
  2. Provide sponsorship, training, and communication to drive employee adoption
  3. Prepare and support activities to implement, celebrate, and sustain participation throughout the ERP transition

Following this approach with a change management framework such as the Prosci ADKAR® model can help an organization prepare, guide, and adopt ERP change more easily and successfully. 

If you’re considering a change, but need to prepare your institution for a healthy ERP transition using change management, chart yourself on this ADKAR framework—what is your organization’s change readiness? Do you have appropriate buy-in? What problems will you face?

You now know that this framework can help your changes stick, and have an idea of where you might face resistance. We’re certified Prosci ADKAR® practitioners and have experience guiding Higher Ed leaders like you through these steps. Get in touch—we’re happy to help and have the experience and training to back it up. Please contact the team with any questions you may have.

1Prosci ADKAR®from http://www.prosci.com

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Perspectives of an Ex-CIO

If you’ve been tasked with leading a high-impact project for your organization, you may find managing the scope, budget and schedule is not enough to ensure project success—especially when you encounter resistance to change. When embarking on large-scale change projects spanning people, processes and technology, appointing staff as “coaches” to help support stakeholders through the change—and to manage resistance to the change—can help increase adoption and buy-in for a new way of doing things.

The first step is to identify candidates for the coaching role. These candidates are often supervisory staff who have credibility in the organization—whether as a subject matter expert, through internal leadership, or from having a history of client satisfaction. Next, you need a work plan to orient them to this role. One critical component is making sure the coaches themselves understand what the change means for their role, and have fully committed before asking them to coach others. They may exhibit initial resistance to the change you will need to manage before they can be effective coaches. According to research done by Prosci®, a leading change management research organization, some of the most common reasons for supervisor resistance in large-scale change projects are:

  • Lack of awareness about and involvement in the change
  • Loss of control or negative impact on job role
  • Increased work load (i.e., lack of time)
  • Culture of change resistance and past failures
  • Impact to their team

You should anticipate encountering these and other types of resistance from staff while preparing them to be coaches. Once coaches buy into the change, they will need ongoing support and guidance to fulfill their role. This support will vary by individual, but may be correlated to what managerial skills they already possess, or don’t. How can you focus on developing coaching skills among your staff for purposes of the project? Prosci® recommends a successful change coach take on the following roles:

  • Communicator—communicate with direct reports about the change
  • Liaison—engage and liaise with the project team
  • Advocate—advocate and champion the change
  • Resistance manager—identify and manage resistance
  • Coach—coach employees through the change

One of the initial tasks for your coaches will be to assess the existing level of change resistance and evaluate what resistance you may encounter. Prosci® identifies three types of resistance management work for your coaches to begin engaging in as they meet with their employees about the change:

  • Resistance prevention―by providing engagement opportunities for stakeholders throughout the project, building awareness about the change early on, and reinforcing executive-level support, coaches can often head off expected resistance.
  • Proactive resistance management―this approach requires coaches to anticipate the needs and understand the characteristics of their staff, and assess how they might react to change in light of these attributes. Coaches can then plan for likely forms of resistance in advance, with a structured mitigation approach.
  • Reactive resistance management―this focuses on resistance that has not been mitigated with the previous two types of resistance management, but instead persists or endures for an extended amount of time. This type of management may require more analysis and planning, particularly as the project nears its completion date.

Do you have candidates in your organization who may need support transitioning into coaching roles? Do you anticipate change resistance among your stakeholders? Contact us and we can help you develop a plan to address your specific challenges.

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How to identify and prepare change management coaches

Cloud services are becoming more and more omnipresent, and rapidly changing how companies and organizations conduct their day-to-day business.

Many higher education institutions currently utilize cloud services for learning management systems (LMS) and student email systems. Yet there are some common misunderstandings and assumptions about cloud services, especially among higher education administrative leaders who may lack IT knowledge. The following information will provide these leaders with a better understanding of cloud services and how to develop a cloud services strategy.

What are cloud services?

Cloud services are internet-based technology services provided and/or hosted by offsite vendors. Cloud services can include a variety of applications, resources, and services, and are designed to be easily scalable, cost effective, and fully managed by the cloud services vendor.

What are the different types?

Cloud services are generally categorized by what they provide. Today, there are four primary types of cloud services:

Cloud Service Types 

Cloud services can be further categorized by how they are provided:

  1. Private cloud services are dedicated to only one client. Security and control is the biggest value for using a private cloud service.
  2. Public cloud services are shared across multiple clients. Cost effectiveness is the best value of public cloud services because resources are shared among a large number of clients.
  3. Hybrid cloud services are combinations of on-premise software and cloud services. The value of hybrid cloud services is the ability to adopt new cloud services (private or public) slowly while maintaining on-premise services that continue to provide value.

How do cloud services benefit higher education institutions?

Higher education administrative leaders should understand that cloud services provide multiple benefits.
Some examples:

Cloud-Services-for-Higher-Education


What possible problems do cloud services present to higher education institutions?

At the dawn of the cloud era, many of the problems were technical or operational in nature. As cloud services have become more sophisticated, the problems have become more security and business related. Today, higher education institutions have to tackle challenges such as cybersecurity/disaster recovery, data ownership, data governance, data compliance, and integration complexities.

While these problems and questions may be daunting, they can be overcome with strong leadership and best-practice policies, processes, and controls.

How can higher education administrative leaders develop a cloud services strategy?

You should work closely with IT leadership to complete this five-step planning checklist to develop a cloud services strategy: 

1. 

Identify new services to be added or consolidated; build a business case and identify the return on investment (ROI) for moving to the cloud, in order to answer:

• 

What cloud services does your institution already have?

• 

What cloud services does your institution already have?

• 

What services should you consider replacing with cloud services, and why?

• 

How are data decisions being made?

2. 

Identify design, technical, network, and security requirements (e.g., private or public; are there cloud services already in place that can be expanded upon, such as a private cloud service), in order to answer:

• 

Is your IT staff ready to migrate, manage, and support cloud services?

• 

Do your business processes align with using cloud services?

• 

Do cloud service-provided policies align with your institution’s security policies?

• 

Do you have the in-house expertise to integrate cloud services with existing on-premise services?

3. 

Decide where data will be stored; data governance (e.g., on-premise, off-premise data center, cloud), in order to answer:

• 

Who owns the data in the institution’s cloud, and where?

• 

Who is accountable for data decisions?

4. 

Integrate with current infrastructure; ensure cloud strategy easily allows scalability for expansion and additional services, in order to answer:

• 

What integration points will you have between on-premise and cloud applications or services, and can the institution easily implement, manage, and support them?

5. 

Identify business requirements — budget, timing, practices, policies, and controls required for cloud services and compliance, in order to answer:

• 

Will your business model need to change in order to support a different cost model for cloud services (i.e., less capital for equipment purchases every three to five years versus a steady monthly/yearly operating cost model for cloud services)?

• 

Does your institution understand the current state and federal compliance and privacy regulations as they relate to data?

• 

Do you have a contingency plan if its primary cloud services provider goes out of business?

• 

Do your contracts align with institutional, state, and federal guidelines?

Need assistance?

BerryDunn’s higher education team focuses on advising colleges and universities in improving services, reducing costs, and adding value. Our team is well qualified to assist in understanding the cloud “skyscape.” If your institution seeks to maximize the value of cloud services or develop a cloud services strategy, please contact me.

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Cloud services 101: An almanac for higher education leaders

People are naturally resistant to change. Employees facing organizational change that will impact day-to-day operations are no exception, and they can feel threatened or fearful of what that change will bring. Even more challenging are multiyear initiatives where the project’s completion is years away.

How can your agency or organization help employees prepare for change—and stay motivated for an outcome—many years in the making?


Start With the Individual

Organizational change requires individual change. For the change to be successful and lasting, an agency should apply organizational change management strategies that help lead people to your desired outcome.

With any new project or initiative, people need to understand why the project is happening before they support it. Communicate the reasons for the change—and the benefit to the employee (what’s in it for them)—so each individual is more inclined to actively support the project. Clearly communicating the why at the onset of the project can help employees feel vested in, and part of, the change. As Socrates said, “The secret of change is to focus all your energy, not on fighting the old, but building the new.” A clear vision can inspire each employee’s desire for the “new” to succeed.

Shift to Individual Goals

It’s a challenge to maintain your employees’ motivation for an organizational change occurring over the long haul. Below are some suggestions on how to sustain interest and enthusiasm for multi-year projects:

  1. Break the project down into smaller, specific milestones. Short-term goals highlight important deadlines and create tangible progress points to reach and celebrate. The master project schedule should be an integration of the organizational change management plan and the project management plan so any resource constraints you identify in the project management plan also become an input when identifying change management resources and activity levels. This integration also highlights the importance of key organizational change management milestones and activities in an effort to ensure they are on a parallel tack as traditional project tasks.
  2. Effectively communicate status updates and successes. In large, agency-wide projects, there are often a variety of stakeholders, each with different communication expectations and needs. The methods, content, and frequency of communication will vary accordingly. Develop a communications strategy as part of your organizational change management plan, to identify who will be responsible to send communications, when and how they will be sent, key messages of the communications, and what feedback mechanisms are in place to continue the conversation after initial delivery. For example, the project team needs a different level of detail than the legislature, or the public. Making the content relevant to each stakeholder group is important because it gives each group what they need to know so they don’t drown in a flood of unneeded information.
  3. Create buy-in by involving employees. A feeling of ownership naturally results from participation in a project, which helps increase enthusiasm. Often the time to do this is when discussing changes to business processes. Once you determine the mandatory features of the future state, (e.g., financial controls, legal requirements, legislative mandates) consider including stakeholder feedback on decisions more focused on preference. It is important for stakeholders to see their suggestions accepted and implemented, or if not implemented, that there was at least a structured process for thoughtfully considering their feedback, and a business case for why their suggestions didn’t make it into the project.
  4. Conduct lessons learned assessments after each major milestone. The purpose of conducting lessons learned activities is to capture what worked and what didn’t. Using surveys or other feedback systems, such as debrief meetings, allows stakeholders to voice their thoughts or concerns. By soliciting feedback after each milestone, leadership can quickly adapt to challenges, address any misunderstandings or concerns, and capitalize on successes.
  5. Reinforce how the project meets the goals of the agency or organization. Maintaining enthusiasm and support for a long-term goal takes a constant reminder of the overall organizational goals. It is important for senior leadership to communicate the impact of the project on the agency or organization and to stakeholders and keep the project at the forefront of people’s minds. Project goals may change during the duration of the project, but the project sponsor should continue to be active and visible in communicating the goals and leading the project.

Change is difficult—change that is years in the making is even more challenging. Applying a structured organizational change management process and using these tips can help keep employees energized and help ensure you reach the desired project goals.

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Change management: Keeping employees motivated during multiyear projects

As a leader in a higher education institution, you'll be familiar with this paradox: Every solution can lead to more problems, and every answer can lead to more questions. It’s like navigating an endless maze. When it comes to mobile apps, the same holds true. So, the question: Should your institution have a mobile app? The Answer? Absolutely.

Devices, not computers, are how millenials communicate, gather, inform, and engage. Millennials, on average, spend 90 hours per month on mobile apps, not including web searches and website visits.

Students are no exception. A 2016 Nielsen study showed that 98% of millennials aged 18 – 24, and 97% of millennials aged 25 – 34, owned a smartphone, while a 2017 comScore report stated that one out of five millennials no longer use desktop devices, including laptops. Mobile apps have quickly filled the desktop void, and as students grow more reliant on mobile technology, colleges and universities are in the mix, creating apps to bolster student engagement.

So should you create an app? Here are some questions you should answer before creating a mobile app. Welcome to the labyrinth! But don’t be frustrated—answer these questions to help you avoid dead ends and overspending.

1. Is a mobile app part of your IT Strategy? Including a mobile app in your IT strategy minimizes confusion at all levels about the objectives of mobile app implementation. It also helps dictate whether an institution needs multiple mobile apps for various functions, or a primary app that connects users with other functionality. If an institution has multiple campuses, should you align all campuses with a single app, or if will each campus develop their own?

2. What will the app do? Mobile apps can perform a multitude of functions, but for the initial implementation, select a few key functions in one main area, such as academics or student life. Institutions can then add functionality in the future as mobile adoption grows, and demand for more functions increases.

3. Who will use the app? Mobile apps certainly improve engagement throughout the student life cycle—from prospect to student to alumni—but they also present opportunities for increased faculty, staff, and community engagement. And while institutions should identify the immediate audience of the app, they should also identify future users, based upon functionality.

4. Who will manage the app? Institutions should determine who is going to manage the mobile app, and how. The discussion should focus on access, content, and functionality. Is the institution going to manage everything in house, from development to release to support, or will a mobile app vendor provide this support under contract? Depending on your institution, these discussions will vary.

5. What data will the app use? Like any new software system, an app is only as good as its supporting data. It’s important to assess the systems to integrate with the mobile app, and determine if the systems’ data is up-to-date and ready for integration. Consider the use of application program interfaces, or APIs. APIs allow apps and platforms to interact with one another. They can enable social media, news, weather, and entertainment apps to connect with your institution’s app, enhancing the user experience with more content for users.

6. How much data security does your app need? Depending on the functionality of the app you create, you will need varying degrees of security, including user authentication safeguards and other protections to keep information safe.

7. How much can you spend for the app? Your institution should decide how much you will spend on initial app development, with an eye toward including maintenance and development costs for future functionality. Complexity increases costs, so you will need to  budget accordingly. Include budget planning for updates and functionality improvements after launch.

You will also need to establish a timeline for the project and roll out. And note that apps deployed toward the end of the academic year experience less adoption than apps deployed at the beginning of the academic year.

Once your institution answers these questions, you will be off to a good start. And as I stated earlier, every answer to a question can lead to more questions. If your institution needs help navigating the mobile app labyrinth, please reach out to me

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The mobile app labyrinth: Seven questions higher education institutions should ask

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