Introduction
The purpose of this chapter is to provide an overview of the Data Ocean solution and highlight its justification, advantages, and benefits for the organisation.
The Data Ocean Solution
Organizations continually strive to make the most of their data assets in today's data-driven environment in order to get insightful knowledge and influence business decisions. However, managing and making data accessible can frequently be difficult, particularly when data is compartmentalized, dispersed across numerous systems, and lacking in standardization.
DA & AI is introducing the Data Ocean, as a solution, to address these issues.
As data becomes increasingly critical for decision-making, the Data Ocean solution offers a comprehensive approach to capitalise on data analytics and drive better business outcomes.
The goal of this chapter is to better understand the value proposition of the Data Ocean and how it could affect the success of the company for business decision makers and business leads.
1.1 What is the Data Ocean?
The Data Ocean represents a holistic and scalable data architecture designed to efficiently manage and leverage massive volumes of structured and unstructured data within the organization.
It serves as a central repository for all data sources, providing a unified and accessible platform - providing a streamlined and open platform for data-driven insights and decision-making - a single version of the truth (SVOT).
The Data Ocean represents a paradigm shift in data management, enabling the organization to expand self-service data and data-driven decision-making capabilities to encompass all enterprise data, in a comprehensive data ecosystem that allows for the central governance, management, and utilization of data assets across the entire organization.
What will we achieve:
- Single converged cloud capability
- Self service with access to transformed and untransformed source data
- Single place for Data & Machine Learning use cases
- Enable vertical and horizontal use of data (GBU, Industry, R&I)
- Cost effective and simpler architecture - easier to manage and maintain
This will address a number of challenges:
- Remove duplicates and silos
- Enable local autonomy and global sharing
- Efficiency of data ingestion - ingest once and use multiple times
- Shareable base by authorisation
- Standardise business definitions (data model)
- Foster data quality continuous improvements
Key highlights
- Data Ocean answers to our vision and key challenges faced today
- Data Governed centrally, enabling vertical and horizontal use of data (GBU, Industry, R&I) + local autonomy and global sharing
- Self-Service Data accessible by the whole company, supporting our vision of a data-driven company
- Enable standardization of business definitions, fostering Data Quality
1.2 Justification for the Data Ocean
The Data Ocean solution addresses the evolving data landscape and the increasing need for organizations to harness the power of data analytics.
With the exponential growth of data sources and formats, traditional data management approaches have proven to be insufficient. The Data Ocean provides a strategic response to these challenges by offering a flexible and scalable infrastructure that can accommodate diverse data types, volumes, and velocity and help solve the problems of the past.
- Different Applications are connected directly to the different source systems.
- The same data is repeatedly extracted, maybe with varied periodicities and targeted filters, resulting in redundancy, incoherence, and inefficient use of resources both at the source and at the destination.
- Data transformation and business logic is replicated in different applications, leading to data quality and consistency issues.
- Using BW as the data foundation for Products has proven to lack flexibility & agility, causing delays on PI delivery and GBU frustration.
- Implementing all business logic in BI Tools pushes that platforms to its limits and causing issues on performance and maintainability.
- Investments done in data modeling for specific BI Tools are not reusable in others or even in Data Science Tools, slowing down AI rollouts.
Advantages of the Data Ocean Solution
2.1 Capitalizing on Data Analytics
The Data Ocean empowers the business to extract valuable insights from their data assets through advanced analytics techniques. By consolidating data from various sources and enabling efficient data processing and analysis, the solution unlocks the full potential of data analytics (Figure 3), enabling data-driven decision-making, and fostering a culture of data exploration and innovation.
2.2 Enhanced Data Accessibility and Collaboration
The Data Ocean facilitates seamless data access and collaboration across the organization. Data Owners can easily share and publish their domain-specific datasets, making them readily available to other teams and stakeholders. This democratized access to data promotes cross-functional collaboration, accelerates insights discovery, and encourages a self-service data culture (Figure 3).
2.3 Improved Data Quality and Governance
With the Data Ocean, organizations can establish robust data quality measures and governance frameworks. The solution enables Data Owners to define and enforce data standards, ensuring data accuracy, consistency, and compliance. Through centralized metadata management and data lineage tracking (Figure 4), the Data Ocean enhances data transparency and accountability.
2.4 Scalability and Agility
The Data Ocean provides the scalability and agility required to adapt to changing business needs and evolving data landscapes. The solution accommodates the growth of data volumes and supports new data sources, enabling organizations to scale their analytics capabilities without compromising performance. It also allows for agile data integration, empowering teams to quickly onboard new datasets and adapt to emerging business requirements (Figure 4).
Business Benefits of the Data Ocean Solution
3.1 Data-Driven Decision-Making
By leveraging the Data Ocean, organizations can make informed decisions based on reliable and timely data insights. The solution enables Business Decision Makers to access comprehensive and accurate data, providing a holistic view of the organization's operations, customers, and market trends. This data-driven decision-making approach enhances business agility, accelerates innovation, and supports strategic planning.
3.2 Cost Efficiency and ROI
The Data Ocean promotes cost efficiency by eliminating data silos, reducing data duplication, and optimizing data storage and processing. Through streamlined data management and improved resource utilization, organizations can achieve a higher return on their data investments. The centralized infrastructure and standardized processes also reduce maintenance and development costs associated with managing disparate data systems.
Conclusion:
The Data Ocean solution (Figure 2) presents a transformative opportunity for organizations to leverage data analytics and drive better business outcomes. By providing a high-level overview