Data-As-A-Service
Data-As-A-Service

Data
As-A
Service

We are helping businesses to turn to a new approach: Data as a Service. This strategic direction is an investment towards consolidating and organizing the enterprise data in one place with quality control, validation and batch/real time updates , then making it available to serve new and existing digital initiatives including AI and ML. Data as a Service becomes the backbone of a system of innovation, exposing data as a cross-enterprise asset. It unlocks data from legacy systems to drive new applications and digital systems, without the need to disrupt existing backend.

KEY POINTS TO CONSIDER

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SCALABILITY, RE-USABILITY AND UNIFORMITY

Data Services in a DaaS environment is intender to serve multiple projects and use cases, and the value of the data formats and data services should be designed to both outlast and exceed the value of the particular systems, have a scalable and adaptive design and should be compatible with all data and analytics systems of the business

SECURITY

Security, in a data-as-a-service deployment must be uniform and ubiquitous. FOr businesses with different security models across different data assets face this barrier to adoption. Different entities will not share data without built-in security, and extensive data without controls becomes a privacy and compliance risk.

 
 
 
 
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DATA VIRTUALIZATION AND ABSTRACTION

Data abstraction, is the handling of data in meaningful ways, or the ability to re‐ represent the data using structures that are more meaningful to the users of the data and the AI/ML deployment. Data virtualization is used to integrate data from multiple disparate sources that may exist within the enterprises, outside the enterprise, or cloud computing‐based, to provide a unified virtualized view of the data for use by any number of data consumers.

CLOUD COMPUTING MODEL

With the DaaS Cloud computing model, data is readily accessible through a Cloud-based platform. Simply put, DaaS is most optimum path to accessing business-critical data within an existing datacenter. Within the DaaS environment information can be delivered to a user regardless of organizational or geographical barriers. Some of the most common business applications powered by DaaS technology includes Customer Resource Management (CRM) and Enterprise Resource Planning (ERP) applications.

 
 
 
 
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