Top

Important Do’s and Don’ts for Reporting and Analytics in SAP SuccessFactors

 

These days organizations put in extensive efforts in enhancing the human resource-related operations of the business. As a result, enterprises spent years implementing different Human Resource solutions in an attempt to enhance the existing operations and drive better results. Leveraging solutions such as the SAP SuccessFactors can enable the organization to augment its Human Resource operations.

 

However, as we know, the primary aim behind deploying any HR solution is to ensure that the organization is leveraging data and the insights that come with it to drive better decision-making. The reporting and analytics competencies of SAP SuccessFactors can help an organization realize that goal without any hassle. However, either this or it can also have an adverse effect on decision making where decision-makers are overwhelmed with the amount of data making it further difficult to make an effective decision.

 

Therefore, if an organization finds itself trapped in this cycle, reporting and analyzing and ultimately ending up right where it all started. Here are a couple of dos and don’ts that can help one break out of that cycle.

Do’s:

 

  • Anticipate questions and understand the audience: Whenever we are preparing ourselves to present any type of data to the concerned stakeholders anticipating the types of questions that could arise can be very helpful. This is important because being well prepared for our presentation can benefit us. If we fail to answer the questions raised by the stakeholders, then it automatically raises doubt on the integrity of the data presented by us.

 

This can further result in others looking for discrepancies in the data, and as soon as one gets one, we would have already lost the opportunity to comprehend the story behind the data. It is also important to better understand the audience as different people will raise different questions, and knowing the audience can help us better anticipate the questions.

 

  • Set practical goals and targets: We understand that there is always a purpose behind studying and reporting data. This makes it important to set the right goals to deal with the changes reflected in the metrics, and it is more important to ensure that these goals are practical. When one sets such unachievable goals, they can end up tiring out the team and reduce the efficiency even more.

 

On the contrary, when one sets realistic goals, this increases the chances of realizing those goals and results in boosting the morale of the team, motivating them to work even harder. For instance, if a team is allotted a task that generally requires 15 days but due to some urgent requirements, the team is asked to accomplish that task in 8 days. This will end up deflating the entire team while damaging their morale simultaneously.

 

  • Try to depict the story for reporting and analytics data in hand: It is no secret that using only numbers and graphs to represent data can be very boring. This kind of presentation will only raise further questions, allowing one to further portray the meaning behind the data. Therefore, it is recommended to try and create a narrative of the data to present it as a story more effectively.

 

It is important to define the context and the insights that one needs the stakeholders to understand while also taking note of the response garnered from the audience. The presenter must focus on the ‘why' element of the data as this can help engage the audience even more. Further, presenting the data in the form of a story makes it easier for the stakeholders to understand the data more effectively.

Don'ts:

 

  • Avoid adding continuous metrics and do not let off the old ones: It is very important to ensure that we do not add new metrics and retire the previous ones. We say so because this can have an adverse effect on the team working to realize that goal.

 

When we are certain that we can reach that goal and even sustain the set target, it is time to retire the said data from the regular reports. One can even go back to check if things are going as planned whenever required. If one is lagging behind, it is advisable to put the data back in the rotation. All in all, this is important because one ends up spending a significant proportion of time analyzing data without making any beneficial use of the data.

 

  • Avoid including data that require more efforts in collecting as compared to the value yielded by the data: First, we must clarify that labor-intensive data collection is not something that can always be avoided. Therefore, it is highly recommended to evaluate the value of the data and determine if it is worth all the effort. There are many instances where teams put in extensive efforts to generate the data for a particular department while that data yields very little value.

 

This can be very frustrating for the team working so hard to generate valuable insights from the data making it feel like an insult. Hence one must ensure that their metrics are trackable and the process used for tracking is also easy to replicate.

Wrapping Up

These are some of the most important points that can help an organization enhance its reporting and analytics effort in SAP SuccessFactors. This will help because the ultimate goal is to present the data in an understandable manner so that the audience can understand the story behind the data. Therefore, feel free to leverage our SAP consulting services and drive augmented reporting and analysis with SAP SuccessFactors.

 

——————————————————————————————————————————————

 

Author Bio: Eric Smith is an SAP professional providing a wide range of SAP consulting services to his clients. With a knack for technology, he loves to write on the latest SAP developments and share his knowledge with the readers.

 

No comments yet.

Leave a Reply

Google+