7 Best Practices for a Successful Data Migration to SAP S/4HANA

Posted by Utopia Marketing on July 15, 2019

There can be a lot of risk when migrating to a new platform like SAP S/4HANA. How do you ensure you're creating a smarter approach to managing the data up front?
  1. Ensure data is part of the timeline. Whatever the defined timeline is, data quality could be one of the things that throws it off the rails. Having a well-defined process and dedicated organizational team to manage process and data components drives the speed and success with which system migration can happen.
  2. Get executive buy-in early. Without early and active participation in the strategy phase of a large-scale move, technology business unit leaders may get involved too late, putting the entire program at risk if there lacks agreement later on.
  3. Agree on one set of business rules, processes and goals, aligned to master data. Having a uniform way to designate data rules and taxonomies to reference throughout the process – this will create only one structure going forward and help align to overall corporate goals.
  4. Have a “champion” in each department or unit who will enforce decisions. Find a subject-matter expert in each unit or department who is respected. Once a decision is made around a new process or business rule, they can communicate it teams within the unit or department and explain the method behind the madness. This will increase speed of adoption and boost the likelihood rules are followed.
  5. Leverage the tools available. If the organization has a governance program or SAP data service already in place, use it as a bridge in the process to accelerate the movement of master data from the old system into the new operating environment.
  6. Seek out low-hanging fruit. Go through the inventory of data assets, where they exist, what systems they’re in, and how they’re relevant to the new model. Profile that data to identify any early opportunities or benefits relevant to business drivers. For example, if one of the drivers is to increase customers by 50 percent, use any clean data to shore up existing relationships to ensure the customer experience doesn’t suffer.
  7. Have a plan for post-migration. While it’s important to define what “good” looks like now, if an organization doesn’t govern good data, it will be right back where it started in 18 or 24 months. The ideal scenario is a combination of data transformation and data governance, so have a plan in place for how to keep the data sparkling clean once the golden record is created.  


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Kicking the Bad Habit of Bad Data

Posted by Katie Mowery on June 25, 2019

It’s time to face the reality... no more kicking it down the road... your organization just might have a data problem. Maybe it started with a few processes that broke down over time. Maybe someone left and took with them the knowledge of their homegrown data archiving strategy. Maybe manual entry or data manipulation destroyed the integrity of your change management. Regardless of how it happened, it has likely led to some enterprise-wide bad data habits. 

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It's Time You Had the 'Data Talk'

Posted by Katie Mowery on June 20, 2019

 A major step on the road to system modernization is the migration to a unified platform, in this case... SAP S/4HANA. While enterprises are prepared to invest in SAP S/4HANA, it’s critical to realize that you need to first invest in your data. You can have the nicest garbage can on the block, but the inside is still trash. 

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The People, Processes & Technology of an Effective Data Migration to SAP S/4HANA

Posted by Katie Mowery on March 30, 2018

When you’re migrating from a non-SAP legacy system or from an SAP ERP system and implementing SAP S/4HANA, your master and transactional data must be migrated from the legacy system into a new environment – and with that comes a lot of things to consider, plan for and build processes around.

Data migration is one of the biggest risks to a new system implementation. 38% of data migrations fail due to a lack of understanding of the source and target systems and poor planning/execution by project teams. A failed data migration as a part of your SAP S/4HANA implementation means decreased value of the powerful business platform  because it’s only as good as the data enabling it.

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Best Practices for Data Migration to SAP® S/4HANA

Posted by Subramaniyam V on March 8, 2018

SAP® S/4HANA enables organizations to lower their operating IT costs by simplifying their IT landscape. However, every organization has different needs. Implementing a data management strategy is imperative for organizations to accelerate their movement to SAP S/4HANA in a cost-effective manner.

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Things to Consider BEFORE Moving to SAP S/4HANA

Posted by Jeff Knotts on December 20, 2017

We’ve seen it before. A company makes a big investment in a new ERP system, and a BI system, then added Balanced Score Cards and very pretty dashboards. But the CEO still gets reports in an Excel spreadsheet.  Ever wonder why this happens?  There are many reasons, however a common one is that when the new system was implemented, no one cleaned the data from the old system(s)  BEFORE it was loaded into the new system.

As a result, all the reports that had wrong information before – still have wrong information. They just now have eye catching buttons and dials on them!

This happens time and time again because the data migration/conversion stream of the ERP system project did not receive the attention that it deserved.  It was left to another team, another stakeholder, another phase maybe– you know the old story. "Here is the file format we need – provide the data in this format and we’ll load it for you." But the responsibility for the quality of the data is with someone else.

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Why Isn’t My New SAP S/4HANA System Everything I Hoped For?

Posted by Jeff Knotts on November 28, 2017

Since SAP S/4HANA is the latest and greatest technology from SAP many people may find themselves asking this question. It’s the same question you may ask after a rollout of any new business suite or enterprise-wide system.

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SAP® Best Practices for Data Migration – Hits and Misses

Posted by Utopia Marketing on April 1, 2014

Data migration guru, John Morris, wrote “data migration is a business issue and not a technical issue.” Having been through many data migration projects myself, I couldn’t agree more. When choosing a framework for data migration one has to keep this in mind. Furthermore when it comes to migrating data into SAP, one needs to take into consideration a few other truisms, such as:

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The Nine Major Risks to Your Data Migration Project

Posted by Utopia Marketing on July 31, 2012

DATA_MIGRATION_RISKS.jpgData migration is a complex process. In-and-of itself, it can be logically done. What it’s basically about is a thousand discrete steps that you need to do in order. If you get those steps out of order, then the entire project could be in jeopardy. One of the key components of doing a data migration is what we call “the pick and shovel work of doing the business rules development” and making sure you capture those.

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Why Data Migration Is Important

Posted by Utopia Marketing on June 5, 2012

Recently I graduated from college, and I have just become a Data Migration Consultant (DMC) at Utopia after the progressive training known as Utopia University (UU3). It was a 12 week journey with ups and downs and included 2 weeks of Boot Camp. I believe my experiences best explain how important it is to manage data. 

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