With great power comes great responsibility.
– Uncle Ben (Spider Man)
As you probably already know, Process Mining allows analysis of any process with only 1 condition – it’s performed using IT systems. Therefore, it is also applicable for almost any industry – since enterprises tend to have similar Sales, Financial and Managerial Management processes among the others.
But who would do the job?
Digital transformation nowadays does not only mean we can bring almost everything to digital space, but also that more people have access to information and the ability to use it in their daily job.
In an ever-changing and highly competitive world organizations shall be flexible and able to act rapidly towards changes and arising issues. That’s why you, as a manager want to enable professionals to draw conclusions out of corporate data by themselves. It simplifies and speeds up the operations.
In case of data analytics, it becomes crucial to let users unrelated to IT be able to discover needed data, analyze it and make conclusions autonomously.
Governed Self-Service solutions represent two ways of managing access to data – Governed IT and Self-Service Analytics.
What is it and what does it mean to ProcessGold users?
Let’s sort this out!
In order to understand what the Governed Self-Service Solution is, we shall first define “self-service” itself.
Historically, working with big data requires high-skilled professionals with computer science knowledge. But what if you want any high-level manager to be able to analyze large data sets and gain insights on business processes, without having to study for 4-years Computer Science degree?
That is what self-service is all about.
With self-service solutions, employees with no-technical background can freely visualize, analyze and make business decisions based on large sets of data.
Self-service streamlines the complicacy and makes the data user-friendly. Employees can access it whenever they want, not relying on other teams, improving decision time for everyone relying on the necessary insights.
Currently, self-service is a term largely used towards Business Intelligence tools, meaning a data analytics approach that enables business users to access and work with corporate data. With the rise of self-service BI (e.g. Tableau Software, Power BI, etc.), statistical analysis becomes more efficient and accessible for everyone.
Despite this fact, self-service solutions are normally ungoverned, which means there is a higher risk for data security – it takes courage to give away corporate data with no control over who gets real access to it and can implement changes.
Furthermore, there is the risk of multiple “truths” circulating throughout the company; people getting the same information in different ways, using different parts of the data.
Result? Discussion about how the analysis was conducted instead of the results and actions discussion.
Still this doesn’t mean we have to completely abandon the idea of self-service solutions – we shall look for a combination instead.
Governed solutions normally mean that business professionals have no actual access to any piece of data they want to analyze – they should first go through an IT department.
Contradictory to the Self-Service solutions, IT Governance gives IT departments an important role as an actual reporter.
As seen above, giving complete freedom to end users in terms of data could lead to insecurity and chaos, therefore governance is a must. Governance lets IT ensure the safety and constant update of data, keeping everything centralized and providing business professionals with a piece of information requested at that specific moment.
However, there are some downsides to this approach. On the one hand, an IT department can become a bottleneck of information quickly when requests get in from all parts of the company.
On the other hand, in order to provide the necessary reports IT needs to properly know the business and what information is needed. Providing suboptimal or incomplete reports can lead to follow-up requests, slowing down the decision-making process of the people relying on this information even more.
Indeed, centralization is great, but giving end users a bit of freedom, IT could specialize in more advanced tasks and focus on data rather than reporting.
Advantages of Governed Self-Service Solutions
The compromise and solution to this dilemma, combining the best of both worlds – Governed Self-Service.
This way an organization can disclose the data openly to its end users, giving them enough flexibility and power to deep dive into any data set, and decide on further actions based on gathered insights. Therefore, it empowers people that need the information and – because of less reliance on IT – speeds up decision times.
At the same time, by setting up a centralized common environment, IT still controls access to the data and ensures security, making sure there is only one “truth”. This normally means – a shared environment created by IT and used by business users to get insights.
Eventually, business users are still limited in their actions but are flexible to perform the necessary work with the information without having to go through the IT department every time.
What Does it Mean for You?
When bringing (process) data into your organization, multiple aspects will influence how it will be used:
- A centralized data model: to reduce the risk of multiple “truths” living throughout the organization.
- Accessibility for business users: to speed–up the decision-making process.
- Security: to make sure that people only have access to data they are allowed to see.
- User friendly reports: to empower employees to utilize their own business knowledge and respond to issues faster.
With a Governed Self Service model, all the above aspects are integrated. On the one hand, the role of IT changes to developing a centralized data model in which end users can get the most out of their reports, keeping data safe at the same time.
On the other hand, it allows your business users to decide what questions they want to get the answers to and get them independently from large data sets. By providing them with these necessary tools, they can operate as fast as the business itself and scale up performance accordingly.