Business intelligence makes your work easier by organizing your data so you can access and analyze quickly. Later, decision-makers can look through the analyzed data and get the required information quickly, saving time and prompting them to make informed decisions. Quick decisions are one of the benefits of business intelligence. It’s best used when BI is available to most of the employees within your company. Many companies have involuntarily developed cultures of elite analyst—those of whom are only permitted to retrieve this kind of data. But that shouldn’t be the case, as it limits the full use of your enterprise.

Rather, you should allow data analysts to work as data specialists and mentors to the other members of your company. This streamlines data analytics and allows more people to learn how to use BI to increase their output, value, and fulfillment.

System Scalability

System scalability is viewed as the scalability demand that most executives are already familiar with, as each system must be in sync with the company’s requirements. There’s a specific method used to measure the ability to perform at the scale required to calculate the following dynamics involved in analysis:

  • Number of users
  • Query volume
  • Data sources

If any of the aforementioned dynamics increase, the system demands also increase—sometimes exponentially. These demands can be managed with cloud solutions. If you are allowing your team to view the data sources, you need to make sure that your system can scale accordingly.

Adoption Scalability

Adoption scalability is seen as a strategy that introduces BI as the new model of working; it also involves improving training and enhancing usability.

Expanding BI tools to more users also requires simplifying the user interface. This solves the queries for new users who want to skip it up as it’s too difficult to learn. You can view usability as a design case and challenge the tech team to work on it and develop extremely user-friendly interfaces. Still, some training or workshop is required to educate the new users and solve any queries. You can do it by organizing mentor sessions, building interactive educational modules, and forming user groups that enhance the social aspect of education, thereby increasing enthusiasm and understanding significantly.

A well-designed system trains its user as well as updates regularly. Here, user feedback plays an important role in removing any faults and using them to the best of its ability. The user feedback doesn’t come from one worker but from the whole organization, which utilizes teamwork to achieve organizational goals.

Data Scalability

Data is an essential key element of business intelligence. Don’t just focus on big data; take a look at small numbers also. Data scalability should speak to and control different forms of data like text documents, images, videos, cloud data, email archives, and spreadsheets.

To create better data scalability, you should focus on presenting BI as another specification. User-friendly technologies that are built for more users will result in the creation of new data sources and gathering practices that prepare you for effective data scalability. Try to visualize a data environment that develops and adapts to the analyses of previous data queries, creating a data environment that keeps with the flow and creates new streams and sources of exploration and profitability.

Analytic Scalability

Analytic scalability is often the most overlooked but most important part of scalability. The ability to pull out specific information for a particular problem from significant data sources and small data files gives you the innate intelligence to meet the current demands and needs. Along with scalability demands, flexibility is also part of any analytic process. It should have the ability to be flexible according to needs; the better your analytics can handle unique problems, the sharper and relevant your BI becomes. Thus, you have to ensure your system has enough tools to present data in a different format according to your needs, like showing different data information into bar graphs and maps that avoid misinterpreting the data.

Analytic scalability focuses on system issues. You should ensure that the system has enough capacity to meet your intelligence demands. A good system should meet user requests and deliver your data queries’ most valuable and relevant representation.

When your system meets these four scalabilities—system, adoption, data, and analytic—you will find that your system is not just a function, but it opens a new path of communications, ideas, and inspirations for your team. Using BI in your workforce boosts the intelligence of your system and your team, thus encouraging you to work as a team.

You have to create a strategy, roadmap and allocate resources to implement and scale BI in your team successfully. It’s a big project and needs several months before you can measure any measurable ROI. Many companies find success using different innovative ways to use BI to reduce operating costs and improve profits to create a data culture.

Unlock the Potential Hidden in Your Business Data

Let MIBAR help you unlock the potential hidden in your business data. Thanks to Microsoft and Power BI, the MIBAR team can transform your static business information into a rich interactive experience, delivering ad-hoc capability for even the most technophobic executive. With Power BI, MIBAR can now do in days what used to take weeks and months to achieve. If you’re ready to leverage all the information your data is trying to tell you, we’re prepared to help you make the most of your business insights. Connect with us for a free consultation today.

Check out our study on five key considerations when implementing modern BI and webinar on Business Intelligence Made Easy—Power BI Case Study.

Additional Business Intelligence Resources

Collaboration in Business Intelligence: A Team Approach to Growth

The Right Information in the Right Hands: How Real Users Leverage Power BI

The Power of Dashboards: How to See the Big Picture with Power BI

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