Workday Prism vs. Traditional Data Integration

To dissect the differences in the workday prism with the traditional data entry in ascertaining which is best for any organization or company, we will look into what each of them means and their benefits.

What is Workday Prism Analytics?

Workday prism analytics is an analytical tool that enables the integration of non-Workday data into the Workday system.  By merging Workday and non-Workday data, it increases the power of decision-making by delivering financial, operational, and human resource insights all in one location.

The Workday platform includes Workday Prism Analytics. Data can be cleansed, processed, and enriched for analysis after being ingested from any source (Workday and non-Workday). Using Workday’s reporting and dash-boarding features, Prism gives you the ability to create custom analytics once the data has been prepared and provide the insights directly within Workday apps.

How do the majority of organizations use Workday Prism Analytics?

There are several use cases in various sectors. Let’s use a practical example to demonstrate a few:

Prism Analytics was used by a company in the travel sector to monitor and influence Workday employee performance in the customer care department. In order to make decisions about average call answer times, shift utilization, performance trends, and cost per call by location, agent, manager, and region as well as customer satisfaction rates by cost center, they combined HR and Finance data from Workday with call center data. For managers to successfully help staff in their customer care department, Workday has built-in configurable dashboards.

Some clients also incorporate data from internal benchmarking tools into Workday in order to make better judgments. Customers can include data from internal benchmarking tools and third-party travel booking platforms, for instance, using the Workday Prism Analytics platform. The resulting Travel & Expense (T&E) dashboard offers thorough tabs that highlight purchases that are not in accordance with their travel and expense policy and assess how well travel plans are in line with cost-saving techniques. The dashboard also provides in-depth analysis of teams’ spending patterns on travel.

Workday Prism Analytics: How Does It Operate?

There are three primary aspects to the architecture of Prism:

  1. Connect and Integrate: This refers to all methods for bringing data from other databases into Workday Prism for analysis. You can use Workday Custom Reports (RaaS), Manual Load, SFTP, and other methods to add data to Prism.
  2. Transform & Analyze: The Intelligent Pipelines from Workday serve as the foundation for this phase. These pipelines are user-friendly and give users the tools they need to prepare data, such as providing recommendations for choosing the primary key among data tables and predefined functions to maximize output with the least amount of time and data and lessen reliance on IT for complex transformations.
  3. Manage & Administer: All Prism artifacts are kept in the Data Catalog. Planning ahead to manage the data is essential due to the large number of datasets, tables, and data sources. The metadata for each dataset and table in Prism is available as a reportable data source from Workday, giving users the ability to design their own reports and assess the state of the Prism data catalog. Workday intends to launch Workspaces, which will enable more precise control, and governance over artifacts related to specific projects or departments.

Workday Prism Analytics advantages

Workday Prism Analytics has several benefits, but three of the most significant are unquestionably security, usability, and accessibility to the full company picture.

How to Begin Using Workday Prism Analytics

We strive to provide all the information you need in our blog area if you want to “all in” on Workday Prism Analytics. We have your back, whether you want to use the tool, are just getting started and need assistance, or are a seasoned pro looking to improve your setup.

What is Data Integration?

In the business world, data integration is a hot issue, but what does that actually mean? Data integration is the process of combining data from multiple sources into a single, unified view.

As a result, instead of having your company’s information dispersed across various platforms, data integration enables you to access it all through a single system. Since this guarantees there are no overlaps or inconsistencies within your database, this is where the phrase “single source of truth” originates.

Data integration has advantages for everyone, not just data scientists and analysts. Business units like the customer service resource center and global supply chain management gain from improved collaboration. Likewise, greater collaborative skills boost corporate operations all around. The capacity to view data in real time is crucial given that numerous business operations frequently take place concurrently. For remote workers and teams spread across multiple regions, having real-time access to data is particularly essential.

With data integration, processing involving data takes less time. Any attempts to process data in the past were mostly aided by manual labor. Manual data collection can sap staff morale and waste crucial time.

For instance, a worker who is not aware of new data warehousing initiatives will probably need to repeat data analytics tasks. Instead, the time previously needed for data-related tasks can be applied to boosting business productivity. Customer service is also likely to increase when the staff experience is enhanced.

Manual data processing is not only very time-consuming, but also prone to human error. Data difficulties brought on by employee error can cause serious data management and data governance challenges. Real-time data access and high-quality data are crucial given the value that data offers enterprises. Thankfully, firms may invest in a wide range of data management and data integration products. Additionally, data analytics are being further optimized by improvements in machine learning and data integration tools.

Automatic reporting is a typical illustration of an advantage that data integration solutions provide. Businesses can load data reports in real time as needed by automating reporting. In fact, integration methods and technologies are beneficial for many corporate operations. Developers are yet another instance of how data integration benefits corporate processes. Data integration solutions can help, saving you from having to manually hand code. As an alternative, data integration frequently supports supply chain decision making.

Benefits of Integration of Data

The best integration of data may include the following: cost-reduction, enhancing income potential, enhancing effectiveness, affecting more decision making, enhancing data capacity etc.


The value of crucial data can be fully realized within Workday with Prism Analytics, giving enterprises a holistic perspective of workforce, financial, and operational insights. Traditional transaction systems cannot handle the massive volumes of structured and unstructured data that Prism Analytics can handle. It integrates with Workday and is entirely cloud-based. And of course, we know the meaning of traditional data integration. The question of which one is best can be critically analyzed after reading this article, Workday Prism Analyst is the best when it has to do with Human resources jobs and management and data integration can be best when it is holistic.

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