Have you ever met an influential person who always wants to prove his heroic narrative? Everyone meets such persons at a certain time of their lives in their workplace.
When this type of ethos is deeply rooted in an organization, data democratization gets harder to deal with. Whenever you try to implement any process, a senior employee having such a mindset will create obstructions.
In some cases, a rivalry is the main source of democratization challenges. Rivalry can take place in two situations-
● When two or more units perform the same task
● When two or more teams are not competing with each other directly but are competing for resources or for achieving similar goals.
If you are really eager to get your data democratized, you should find out the rivalries embedded in your organization. You need to find out the challenge that is preventing your data from getting democratized.
Listed below are some signs or symptoms that can challenge democratization:
● Company culture
● Lack of transparency
● The interest of the IT department may conflict with sales interest
● Quality problems in data
Some of these symptoms originate from human nature; some come out of conflicting interests between the different departments. By blending information with the human ability to manage a sophisticated social framework, you will be able to use the information to protect your social structures.
It has been said that information is power, and it is the creator of all types of dysfunctions or symptoms discussed earlier. It gives birth to a unit inside your organization for concealing information from internal competitors. Such a unit breaks the integrity of the data system. As an outcome, employees are affected by stress and anxiety, and it impacts their performance adversely.
Challenges associated with IT
Data democratization has a technical element. Some new technologies are taking place in data science and analytics. Over the past few years, the data industry has been witnessing many changes in data management and analysis. For instance, new technologies change the process of performing data warehousing. It compels the professionals to discard their familiar processes and learn new approaches. Affinity for outdated systems and nurturing pride for them can hurt the progress of an organization.
Hence, the IT department must be ready to discard a tool or technique challenging further progress. They should be open-minded and flexible enough for adjusting their approaches. It is high time for organizations to realize that old data warehousing processes and experts are no longer beneficial.
Bottom line
For the betterment of your organization, you need to realize the potential of data democratization. Your success in democratizing the data will depend on how your employees handle the new approaches. Data scientists are responsible for enlightening the new users about the science behind designing experiments and other aspects.
The data professionals of your organization must be enabled to acquire the analytical and soft skills needed to resolve data issues efficiently. This way, they will be able to explore an ocean of new opportunities for themselves and your organization. Data science democratization has a bunch of scopes; all you need is to use them in an appropriate environment where excellent technical and non-technical assistance is available.
