Why must businesses move out of SAP-centric data warehouse right now?

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Why you need to move out of SAP data warehouse right now?

1. Strong vendor Lock-in

SAP-centric warehouse works optimally only if your entire business is built on SAP product suite, which is close to impossible. With all this fragility spanning, you must still pay for maintenance, software upgrades, counterparts, and highly skilled resources with strong vendor lock-in from SAP!

2. Migration & manipulation complexity

If you’re an existing SAP BW user, you may be hesitant to make the move to SAP BW/HANA suite. It demands huge licensing costs, migration, and maintenance efforts.

• Upgrade from SAP BW 7.3 to 7.5.
• Purchase SAP BW/4 and HANA licenses individually.
• Refactor all the legacy SAP BW workloads to SAP BW/ 4HANA.
• Hire a proficient team to manage the retiring SAP data warehouse and adopt modern business intelligence tools.

The process is more cumbersome, tiring, and expensive!

Beyond all these bumps, SAP data warehouse has rigid data formats, inefficient compute architecture, complexity in data transformations, and huge data processing.

3. Prolonged time to market

With lots of siloed data products in SAP, it’s obvious that you’ll take a longer time to market and insights. Implementing DataOps & MLOps culture will become a struggle in SAP-centric business warehouses. In turn, this will have an impact on your timely business & strategic decisions, which are critical in realms such as healthcare, manufacturing, finance, sales, and so on.

4. Frequent upgrades

Upgrades are necessary for every software product, but not too frequently. Semi-yearly rollouts and interconnected systems worsen SAP-centric data warehouse much more. This becomes a daunting task with lots of investment, planning, implementation, testing, and deployment going on.

These short intervals mystify organizations without even analyzing and experiencing real success factors. Your organization ends up adopting upgrades in a loop without having the clarity of business impact and delayed innovation.

5. Lack of integrity

The integrity of tools, resources, and third-party SaaS is quintessential to achieving single-source-of-truth and democratizing data. SAP evidently puts down customers in this aspect!

Unlike other leading cloud data platforms, SAP is not equipped with native connectors to connect diverse source touchpoints, tools, and resources. SAP DWC is reluctant to third-party AI, ML, and other business intelligence tools.

6. Demands high proficiency

Warning!

“Your data specialists must be a polymath of all SAP products and master of SAP DWC/BW/4HANA”!

Managing SAP data management suite demands intensive proficiency in terms of institutional knowledge, sentimental data processing, predictive capability, analytics, AI, and SAP’s overall product suites. And with these holistic skillsets, you end up paying wholesome paychecks to the SAP team.

SAP is experiencing a highly volatile market and so the professionals are also switching to distinct technologies & skillsets to sustain the marketplace. So, even if you make the move from SAP BW to SAP DWC, you’ll have a hard time hiring SAP DWC consultants!

7. Big-budget migrations & maintenance

You may be in the nightmare of purchasing SAP products with a lifetime license. Believe it or not, you have loads of shockwaves with a hefty and hidden cost for its platform upgrades, maintenance, and support.

SAP migration, modernization, and maintenance will take your wholesome capital investments with slapping limitations in elasticity, computational power, velocity, efficiency, and integrity!

8. Limitations on data security

If you’re foreseeing your organizations with insights-driven culture, then you must enforce robust security features and functionalities. But the existing SAP customers are concerned about attaining the row-level and object-level security of data warehouse and BI reports.

The ultimate truth is that most of the modern cloud data warehouses today can bridge all these gaps in SAP-centric data warehouse seamlessly! The benefits are endless!

How can modern cloud data warehouses bridge the gaps in SAP-centric data warehouse?

• Unified data platform -Establish Centre-of-excellence (COE) from diverse touchpoints and formats to lay a strong data foundation across the lifecycle.
• Seamless integration – Integrate with advanced analytics, ML models, and third-party tools to accelerate data transformations and harness data intelligence.
• Preferred skillsets – Let your data teams pick their choice of scripting language and implement the full data lifecycle.
• Unmatched security – Democratize data by adhering to industry standards, organizational structure, & stringent data governance policies with a comprehensive list of security features.
• Elasticity – Scale up and scale down the resources on-demand with modern, multi-cluster compute and storage architecture.
• Pay-for-what-you-use – Employ resource monitors, get alerts, optimize cost, and pay-only-for-what-you-use.

What next? – We help you move out of SAP-centric data warehouse!

Find the appropriate cloud data platform for your business by partnering with us!

We help you figure out the right fit for your data needs from the wide options like Snowflake, Azure Synapse Analytics, Amazon Redshift, and Google BigQuery.

With years of deep technical and street expertise across cloud data platforms, we have intellectual asset libraries to accelerate your SAP data platform modernization.

Here’s why you need to partner with us for SAP migration!

• Data literacy success with modern cloud data platforms for 45+ fortune 500 brands
• Intellectual patented accelerators and frameworks
  • Automated inventory pipelines
  • Online historical load frameworks
  • Dynamic DataOps pipelines
  • Reusable JSON templates for data flow
  • Data reconciliation frameworks for quality deliverables
• In-house team for user experience design and cloud infrastructure setup & maintenance
• Win the competitive edge with continuous enhancements
• A team of 250+ data architects, data engineers, data scientists, and ML experts.
• Delivered 50+ successful data management solutions

Share your data needs and workloads with our thought leaders. We help you with the first POC cloud data strategy and success factors!