Self-Service Reporting or Self-Service BI (Business Intelligence)

What is Self Service Reporting (or Business Intelligence)?

Self Service Reporting is nothing but a strategy now a days most of the companies are offering to their customers to have direct access to organized data, where customers can analyze the data and create their own reports and decide how to represent their datasets. It reduces overall support costs and customers have more access to the data.

Difference Between Self Service BI and Traditional BI

In Traditional BI, Business users collect requirements for specific reports/dashboards and submit the request to the IT department. IT Department, extracts the data from one or multiple sources, loads this data in a data warehouse and creates a Model for analysis. Reports and dashboards are created and informed to Users. Users check the reports as per their requirements and approve the report or may request changes.

While in Self-Service BI, the IT team gathers the requests for self-service tools. The requested data is loaded into the database and models are created. The department provides access to these models to the business users. Business Users can directly access the data and can create their own reports. Users can filter, sort, analyze and visualize data themselves without the intervention of an organization’s BI team or IT teams.

Benefits of Self-Service Reporting

  • Quick Insights helps in making quicker decisions based on the data.
  • IT Departments are less involved and not overloaded with multiple data requests or change requests.
  • Centralized data management.
  • Lower Support Cost
  • Provides flexibility to the users, with reporting and dashboards to make important decisions on time.
  • Any user can generate reports in real-time.
  • One-time implementation with minimal requirements.
  • Data can be used from multiple sources.
  • User access can be handled by the BI admin.
  • Non-technical users can also generate the reports quickly.

Power BI as a Self-Service BI tool

There are a lot of other tools available in the market, which can be used as a self-service BI tool, which have various benefits. Power BI is one of the most common tools, used for Self-service reporting. Below are the benefits of using Power BI over other tools:

  • Quick Deployment
  • Interactive visualization, quick and easy to learn.
  • Integrates with other Microsoft platforms and can connect with external services.
  • Row-level and Column level security is available.
  • Easy analysis for Business Users
  • Large community to help and support.
  • Data Refresh scheduling
  • Quick Decision-making as reports are quickly loaded.

Best Practices for Self-service BI

  • Install/Deploy easy-to-use BI tools
  • Monitoring of BI tool environment
  • Scalable model as per business needs
  • Keep costs under control.
  • Establish a data governance committee.

In conclusion, more companies are moving towards the self-service tool to have more competitive strategies, where Power BI can play an important role, with the features it has over other competitive tools. 

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SOAIS - Worksoft Newsletter

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Dear Default Value,

Welcome to SOAIS Newsletter of September 2021!

Continuous Testing with Remote Execution
The speed of innovation continues to increase, driving rapid and relentless change for today’s ever-evolving IT landscapes, creating greater risk as IT and business teams scramble to ensure timely delivery. How can your organization keep pace? Test more, worry less. With Worksoft’s Connective Automation Platform, you can easily build and maintain automated tests, accelerating testing time without losing scope or volume. You can schedule and execute remote, continuous tests to intercept defects sooner and prioritize remediation - without sacrificing your nights and weekends. Explore how continuous test automation and remote execution can empower your organization.

Click here to connect with us to get more information on our services.

Skip Costly Rework with Dynamic Change Resiliency​

Change resiliency is imperative in ever-evolving IT environments. Our patented object action framework streamlines change management by assigning object definitions to your shared assets. The same object may be used in a thousand automation steps, but it can be easily updated by making one simple change to the model definition. The change automatically propagates to every single instance where that object may have been used without a single line of code or manual human involvement. For more change readiness you can also engage our Impact Analysis for SAP to predict how changes in SAP transports will affect your business processes. 

Please click here to watch the video to get a gist.

SOAIS Blog – Nuts and bolts of Certify Database Maintenance​

One of the key thing, which is often missed by the organizations, who have invested in using Worksoft Certify for automating their Business Process Validation initiatives, is implementing a Database Maintenance Plan. While the business and the test automation consultants get excited about the shiny new thing that they have got and start building the regression suite; planning and executing a database maintenance plan for most of the customers gets pushed down the priority list. However, since all the test assets in Certify are stored in a Database, a robust database maintenance plan is very important to maintain smooth operation of Certify with acceptable performance criteria. The customers usually start facing issues once they have built significant number of Certify processes which they have started executing on regular basis. Such executions add a lot of data to the tables storing results data and increase the overall size of the Certify database.

Please click here to read the complete blog.

Worksoft Blog – Process Intelligence: A Multi-Dimensional Approach

The ability to extract process knowledge has become easier through the years. Technology has evolved to the point where we can deploy capabilities that connect at multiple levels to extract different types of process insight. In the past, organizations were forced to spend enormous energy extracting data manually from different applications and databases. Then, they would have to use things like spreadsheets to transform the data and convert it into meaningful information. 

Please click here and read the complete blog.
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