There are a number of complexities that your team will have to grapple with after migrating to SAP Datasphere and it’s important to account for these in advance. This allows the company to ensure strong standards of data governance every step of the way while streamlining the Datasphere implementation process.
In many cases, a team might struggle due to the manual nature of this switchover – but automated solutions can make this a lot simpler for everyone at every stage.
In this article, we look at the main difficulties of SAP Datasphere migration, as well as how your organization can surmount these challenges.
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Challenge 1: Data complexity
Any approach which involves radically transforming the company’s long-term business data strategy may seem complex at first glance. This is a significant change, so leaders and team members alike will need time to adjust and discover exactly how the new system works.
SAP Datasphere is an intuitive product – but every application has a learning curve. Your team might also be generally resistant to change after such a long time working with company data in a particular way.
The main way to counter this challenge is to thoroughly educate your staff on how SAP solutions work, as well as the many benefits it delivers over traditional on-premises data analysis. A qualified SAP partner can serve as an effective guide in this regard – using their experience with these solutions to make sure your team is able to navigate Datasphere and its diverse features. This also helps your organization discover how to use Datasphere in ways that guarantee long-term success.
Challenge 2: Process inefficiencies
Inefficient data migration can compromise the effectiveness of your data storage. For example, poor migration might lead to the program not having access to all of your mission-critical business data. The application is only able to use the information it receives from your company; any interruption or issue facing this process can compromise the data’s integrity. In addition, the organization might have ineffective documentation standards – meaning the company’s important data may not exist in the desired format.
It’s essential that your business conducts a comprehensive and detailed data audit before migration. This is the only way to guarantee that SAP Datasphere has everything it will need to enrich your use of analytics. Your SAP partner could again help with this as they understand exactly what Datasphere requires to deliver its results as well as how to execute an effective migration. External SAP-compatible data software solutions also help make sure your data strategy is more efficient.
Challenge 3: Lack of visibility
Data visibility is a core component of any successful information-based strategy. This helps the firm better plan for the future with high confidence. If your company can only see a portion of its critical data, they are without one of the digital age’s main advantages.
Organizations of all types – including your competitors – use this data to determine which actions to take. Without good data governance, a lack of visible data could seriously affect Datasphere and its effectiveness.
The main way of addressing this issue is to directly engage with it by improving data visibility before migration; this ensures the information is ready for SAP Datasphere at the right time. One of this program’s main benefits is its ability to readily collect and display data that is relevant to your enterprise, meaning the team won’t need to worry about visibility after implementation. A rigorous approach to data integrity is paramount even before implementing third-party data management solutions.
Challenge 4: Data ownership
Information about the company spreads across many individuals and teams, which means the actual ownership of this data can be another concern. Without strong communication across departments, members of staff can end up managing contradictory datasets – this adds major complications to any migration process.
Information silos could develop and impact the business in various ways by limiting communication. This is especially true if team members are unaware of the data that specifically relates to the work they conduct.
The solution to this is again a precautionary one; the organisation must enact a strong strategy that clearly sets out who is responsible for which datasets. Communication should also be a priority for the firm as this helps to encourage sharing data between teams and individual staff members.
SAP Datasphere can help teams monitor the management and ownership of individual datasets with more efficiency after migration. However, it’s vital your company has clear data management protocols in place.
Challenge 5: Quality of data
The general quality of your team’s business data also has a clear impact on how well the business incorporates SAP Datasphere into its strategy.
For example, the information can be inconsistent without thorough duplicate checks – misaligned data records is another common issue that could limit a company’s database. Your team might encounter serious operational problems if the data they rely upon is of poor quality; they may also make decisions that negatively affect the organization without realizing it.
Your company could invest in data software solutions that perfectly complement SAP Datasphere and validate the organization’s data, correcting misaligned records with powerful yet collaborative workflows.
Another app can help the team identify duplicate or inconsistent data using algorithms to make the company’s information more efficient. This approach improves the effectiveness of Datasphere and streamlines the organization even further. Bluestonex products can offer these benefits and more – allowing you to transform your business and how it applies its own internal information.
External data management platforms are able to revolutionize your organisation’s long-term approach to data, ensuring a high return on investment in the process. However, these solutions depend on clear and consistent information in order to provide the best results.
At Bluestonex, we specialize in developing software that can perfectly complement your SAP platforms and prepare your data for the final migration, including by removing duplicate records.
About the Author: Jack Roberts
Jack Roberts is a digital marketing analyst at Bluestonex, which provide companies with the solutions they need to best configure their experience with SAP’s premium software. Passionate about UX innovations, he enjoys helping people get the most from their investments. When not working, he’s discussing all things F1 or walking his dog, Ruppert in the scenic Shropshire countryside.
