Data governance is an important issue in business. The storing of gathered data was once a relatively simple task that implemented fundamental security concepts. Of course, this was when points of entry and access were limited. Data control and monitoring did not play as active a role in day-to-day business activities.
As complex data types arise from various sources, the need for centralized and selective security parameters has grown into a concept. This concept requires a system that can support the stresses of sensor-driven intelligence and interdependent data-technology platforms while also allowing for streamlined democratization that facilitates innovation.
That was a lot of technical jargon, most likely leaving you with this question:
What does any of that mean?
To use an analogy, the club of your stored numbers doesn’t need just a bouncer anymore. They require a team of experts to shepherd orders and fun safely for the club and be efficient with orders while letting you be as creative and imaginative as possible with your fun.
To do this and vie for game-changing capabilities, you also need a tool to handle the business intelligence side of things. This includes the need to make sure data is prepared properly and data governance paired equally with self-service BI tools.
Business Intelligence (BI) refers to the technologies, applications, solutions, and practices for working with business information. BI encompasses every aspect of interaction with gathered and stored data.
It’s a necessary umbrella term and concept that allows companies to make better decisions through a wide array of processes. The business intelligence umbrella includes:
Proper data setup can help cut through the fear-inducing quivers inherently present in technology. A well-set up data governance system eliminates the need for the arcane knowledge of data scientists, engineers, and analysts. This will empower business users by directly accessing clean and manicured data sources and tools.
Data governance sets layers of blueprints for architecture, operational framework, and processes. Established processes and responsibilities ensure the quality and security of the data used across a business or organization.
To continue with the club metaphor, it numbers the tables set up computers and systems for order delivery by those it has allowed placing an order. For example, if you’re a cook in the kitchen, you do not have order placing capabilities because you wouldn’t need them. You’re the one making the food, which is also a part of the operational framework and processes set in place.
Whether information-related or associated iteration, processes are executed according to agreed-upon models. These models outline a vast array of parameters regarding actions. These parameters dictate the action they can take with collected information, including who can take what actions with said information, when and under what circumstances, and what methods.
The adage of knowledge being power has survived the centuries for one particular reason: it’s true. There’s an argument to be made for knowledge being more invaluable now than at any other time in history. It has the power to interpret what has happened, translate what is, and predict what will be.
Between designing data architecture and tasks generally reserved for oracles, the concept of data governance might start sounding like a daunting mountain of tasks— and it can be. But that’s why it’s also important to choose the right framework and team to help you build.
That’s right: you don’t have to do it alone depending on the size of your company, the formation of a Data Governance Council. This is a group of people assembled to cover all areas of data governance. This includes people from the mining of information to its interpretation from a business vantage.
A general overview of this team ought to look something like this:
And, if done well, then there’ll be an all-star squad in your dugout prepared to make beneficial decisions for the betterment of you, your company, and all those involved.
Keeping your data safe and secure is very important to keep your business growing and thriving, and data governance is an issue you should pay attention to. It would be best to have a business intelligence solution that could make you feel safe and eliminate any worries you might have about your precious data.
Good news, because that’s us. Yurbi stresses the importance of keeping your data secure from any threats, and that includes data governance.
For one, Yurbi has a multi-level security model. App Shield also has a data-level security feature that restricts which data a user can see in a report or dashboard. With App Shield alone, you can feel safe because no one will be able to see data that they are not supposed to see. This feature helps you protect your data and keep it from the wrong people.
Lastly, Yurbi’s audit and data governance feature allow admins to track user behavior within the product and aids in user adoption by displaying who is and who is not running reports. If specific users aren’t running reports, it could mean they need more training or assistance with product adoption.
Notifications are another important aspect of Yurbi auditing and data governance. When new users gain access to a Yurbi App connected to a data source they are responsible for, it can send notifications to assigned users to keep them “in the loop.”
Of course, there are more advantages to using Yurbi over many other business intelligence solutions available, such as its affordable pricing points and high-quality service.
You deserve high-quality data security, no matter how much you pay.
Want to learn more? See a live demo? Contact us to make it happen, and we can learn more about your requirements and see if Yurbi is a fit.