Empower your business to take better informed decision and stay ahead of competition with business data fabric
Data is challenging. It always has been!
To stay ahead in the ever-changing competitive market, organization are undergoing massive digital transformation to implement an intelligent ERP. The key to becoming an intelligent enterprise, organizations must have seamless access to their mission-critical business data no matter where it resides. Moreover, In the past decade with the four Vs of data (variety, veracity, velocity, and volume), it is difficult for organizations to gain a 360 view of their data for competitive advantage. Organizations are ascertaining themselves into a chaos of hybrid data platforms with data landscapes distributed across the multicloud and on premises.
Numerous concepts and countless efforts have been spent just to efficiently extract, integrate, and access data, spread across platforms, while maintaining business context and the required security and compliance. Finally, with the rise of AI/ML, IOT and variety source data has added even further intricacies for organizations to manage and tame their data management challenges.
The bottom line of these efforts is to create a fifth V – Value, value generation to business, empower business to take better informed and intelligent decisions securely and proactively without asking for IT help always.
Organizations are looking for a solution to the following unique challenges:
- How to achieve data democratization? (Access the data seamlessly no matter where it resides)
- How to avoid multiple versions of truth? (Data federation and intelligent integration flexibilty)
- How to maintain business context while extracting data from different platforms?
- How to build unified data governance with an enterprise-wide data-catalog to maintain detailed inventory of data assets and data lineage.
For these (and I am sure one can add more) reasons, organizations are shifting towards enabling data fabric solutions. Consider data fabric as holistic view of architectural capabilities help connecting information across disparate data platforms with unified governance without losing business context.
Deloitte’s Data & Analytics First strategy facilitates business data fabric framework build and industrialization.
At Deloitte, we get it that Data is tough and challenging! We strongly believe that strategic business decisions should be based on facts. For years, we have been guiding and advising our clients toward a data fabric (hybrid architecture) approach, pioneering our “data & analytics first” strategy that makes data democratization a foundational element of digital transformation. The Data and Analytics first strategy is just not an approach but also a mindset that must be on top of the digital transformation agenda.
Data and Analytics First | The Inside Track | Deloitte Belgium | Podcast
SAP Datasphere in the realm of business data fabric
SAP understands it too. With the launch of SAP Datasphere, SAP is implying a new era of openness-by-design for data & analytics. It is positioned as a Datawarehouse as a Service (DWaaS) and available on the Business Technology Platform (BTP) public cloud offering. SAP Datasphere offers a comprehensive platform that empowers organizations to seamlessly orchestrate, discover, access, and share data across diverse environments. In a nutshell, SAP Datasphere provides modern hybrid cloud architecture consist of power of SAP HANA and power of open-source ecosystem (Collibra, Databricks, Confluent, DataRobot and Google cloud). With this capability, organizations will be able to unlock and embed S/4 HANA transactional world with the disparate data systems. Additionally, SAP Datasphere enables existing BW customer to leverage existing SAP BW investments and simplify their landscape by modernizing it in Cloud.
Few salient advantages of SAP Datasphere:
- Unified Data Access Connect to data across multiple sources, from on-premises and cloud to hybrid environments. This enables a holistic view of data, eliminating silos and enabling business to make more informed decisions.
- Accelerated Insights With self-service data access and discovery tools, SAP Datasphere accelerates insights and empowers data-driven decision-making at all levels of the organization.
- Reduced Costs and Resource Optimization Data redundancy and duplication are minimized through intelligent data movement and sharing. This results not only in reduced storage costs but also optimizes resource utilization by streamlining data processing and movement.
- Enhanced Collaboration SAP Datasphere is designed to improve collaboration by allowing teams to securely share data across boundaries. This promotes innovation, cross-functional teamwork, and a unified understanding of business goals.
With Deloitte’s Data & Analytics First and SAP Datasphere
Deloitte and SAP are further building on business data fabric strategy to provide organizations with capabilities to take better informed and intelligent decisions which are absolutely data driven!
Here are top three key takeaways by establishing business data fabric:
- Drive data democratization by enabling trust and access to all data no matter where it resides hence decision makers can view the data cohesively and perhaps empower them to create business connection between data which never existed before.
- Accelerate Time to Value by adopting agility, self-service business modeling and end to end data lineage and data federation to rapidly deploy the business data products.
- Data driven intelligent enterprise by partnership with open data platforms for AI, Data Lakehouse, and catalog to simplify data landscapes and expand the AI capabilities and possibilities.
The path has been created for business data fabric and it will further evolve to improve overall data management challenges. As organizations continue with digital transformation, unified and intelligent data fabric will play a vital role to generate value of their data products and assets. It is imperative for organizations to start building a cohesive data fabric strategy to minimize risk and cost of data fabric / data platform modernization while ensuring data protection and compliance.
Please reach out to us to build a cohesive data fabric framework and how Deloitte can help industrialize the strategy.
