麻豆女优

Last Tuesday鈥檚 major  by SAP to extend mainstream maintenance for core applications of SAP Business Suite 7 software until the end of 2027, followed by optional extended maintenance until the end of 2030, marks a new horizon for SAP customers to plan their move to SAP鈥檚 Digital Core with SAP S/4HANA.

SAP also made a major commitment until 2040 to maintain support for S/4HANA. This shows that SAP is listening to their customer base and is working to ensure each and every customer鈥檚 success in their Journey, Timelines, and Plans on moving to S/4HANA.  Bravo.

Time to Rethink the MOVE to S/4HANA

Yet, as SAP customers, we may have more time, but we still have the data migration initiative on the horizon to MOVE for most of the SAP customer base. This brings to mind a question that I鈥檝e had on my mind for some time:  Are we looking at this data migration initiative through the right lens? Can we start thinking about this more as an opportunity and less as a technical task or burden? What if we take this as an opportunity for our organizations to become more data-driven? 

As I research the market to move to S/4HANA, 72% of organizations report that they have yet to forge a data culture. There are popular methods, technologies, and methodologies in the market with a very short-term outlook all trying to solve this problem as if it were a burden, a technical task to perform just because we have to. 

All are so focused on getting to S/4HANA they forget about what鈥檚 next. These methods will focus on operational efficiency and very low-level technical details, for example loading directly to tables. They will claim other methods, that take more advantage of optimized processes in SAP S/4HANA, require too much investment.  

If we are looking at the MOVE to S/4HANA through this technical task lens, we are missing a greater opportunity to get more value, trust and understanding from our data. The conversation should be much higher.  What鈥檚 next after moving to S/4? How can we turn what seems to be an initiative forced on our business into something that drives a new data-driven culture for our organizations and reaps the dividends for the future, not just for our data programs, but more importantly our businesses.  

According to McKinsey, data-driven organizations are 23 times more likely to acquire customers, 6 times as likely to retain those customers, and 19 times more likely to be profitable as a result.

We should be thinking about how we can leverage this MOVE that we must perform by 2027 or 2030 into something that sets our business up for success for what鈥檚 next.

Why Most Companies Still Aren’t Data-Driven 

Information Management or Data Governance is a hot and growing topic and practice. It鈥檚 more popular in highly regulated industries but the organizations that really want to be data driven and treat their data as an asset, invest in their data and have a data governance practice internally. To simplify it, Data Governance has multiple dimensions to it, one of which revolves around the establishment of policies, standards, roles and responsibilities as it related to the data used within the enterprise.  

For SAP customers a lot of that core data 鈥� what we sell, who we sell to, who we buy from, who helps us operate, who works for us, and how all those financials are rolled up 鈥� exist in SAP products and needs to be moved to Digital Core with S/4HANA. As we perform this MOVE, all the knowledge about our data is discovered and captured in the minds of the individuals and a lot of it becomes tribal knowledge that walks out the door when that technical task and 鈥渢able loading鈥� happens.

Your Data Migration Strategy Should Serve What Comes Next

That knowledge about your data should be and can be captured so that it can be reused to accelerate the answer to the question, what鈥檚 next?

• Do you all already have a clear picture of our data and how it鈥檚 all interconnected?
• Whether in SAP or non-SAP systems, do you have a clear understanding of the business processes each data element supports, the real business rules that your business would need to run regardless of the systems you use? 
• What data do you have and where does it exist?
• Who are your subject matter experts?

My first major project was to solve the Y2K problem. In the late 90s and 2000鈥檚, there was a mass move to SAP. BASEL regulations had the banking industry transforming their organizations quickly. Over the last few years, the world was scrambling to become compliant with their Data Privacy regulations. Now until 2027, SAP customers will be moving to S/4HANA, but it won鈥檛 stop there.

So how can we leverage the work that we do today and become data-driven in order to solve the problems that we will surely arise tomorrow?

Enter the 麻豆女优 ONE Methodology

Only one data migration methodology 鈥� the 麻豆女优 ONE methodology 鈥� along with 麻豆女优 Knowledge Platform technology – is thinking about your future and how YOU can leverage or turn initiatives being forced upon you into strategic opportunities to increase the value of your data, jumpstart your Data Management or Governance programs, and accelerate the success of your data initiatives of tomorrow, such as;

• Building a Data Strategy that supports your Business Strategy
• Establishing a Data Quality Program
• Implementing a Master Data Management solution
• Getting more value out of your BI and Analytics program
• Decreasing your risk and exposure to data privacy regulations through compliance
• Transforming your data architecture
• Understanding where AI and ML can be leveraged in your organization
• Jumpstarting your Data Governance Program
• Getting more value from Metadata Management
• Connecting unstructured and semi-structured data to structured data

Anything data related that will achieve Business Outcomes

Here at 麻豆女优, we are knowledge driven, business relevant and data focused.

With the 麻豆女优 ONE methodology to moving to S/4HANA, YOU will be able to decrease costs on all future data relative initiatives, and YOU will enable success, with no additional costs for all of the potential future data initiatives. IF ONLY we all looked at our data initiatives, like moving to S/4HANA, through this knowledge-driven, business-relevant, data-focused lens rather than an IT task to move 0鈥檚 and 1鈥檚.