Data management needs performance indicators to guide itself. Also known as KPIs (Key Performance Indicators), they are relevant for determining how an enterprise makes decisions and pointing out whether the new tools, technologies, and methodologies used by the company are making a difference.
Indicators monitor an organization’s objectives because they can place data as protagonists in the decision-making process. When they guide us, it is easier to measure what is expected of each member of the team or department, facilitating communication within companies and the distribution of responsibilities.
Also, KPIs bring more visibility and transparency to an organization. Still, it is necessary to know how to define each one and which ones cannot be left aside in data management. Check the indicators that must be constantly evaluated within your business and how they are associated with digital transformation, analytical solutions, and Big Data.
Digital Transformation
Less than 15% of companies have the resources to analyze how digital transformation affects their business; that is, starting to worry about this type of KPI will be a competitive advantage. The main challenge when measuring the impact of digital transformation is that traditional indicators are not always appropriate for measuring the immediate efficiency of efforts.
Most of them offer a long-term view. However, as changes in digital transformation occur at high speed, it is necessary to work with efficient performance indicators. It is interesting to analyze, for example:
Operational Metrics
The digital transformation requires continuous improvement. The impact on the mentality of professionals, their behaviors, and the results they obtain.
Adoption metrics can help you determine whether employees are using the tools the company has purchased. Evaluate application quality, productivity, and performance for operational metrics. Monitor the tools, their use, how much they become part of the daily lives of employees, and what types of activities are most frequently applied.
User Experience
Many see user experience KPIs as “vanity metrics,” that is, information that cannot be used in decision making. However, UX (User Experience) metrics are among the most important indicators for assessing digital transformation.
How easy it is for your team at the data scientist course in Bangalore to use data management tools influences the frequency with which they add data to the systems and how they adapt the insights obtained there in their routines. Consider the time that a tool is used depending on the amount of work done with it. Thus, it will be easy to assess whether resources increase or decrease the efficiency of employees.
Address :
360DigiTMG – Data Science, Data Scientist Course Training in Bangalore
No 23, 2nd Floor, 9th Main Rd, 22nd Cross Rd, 7th Sector, HSR Layout, Bengaluru, Karnataka
Zip Code (Required)
560102
Phone Number (Required)
1800-212-654321
