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Over the past few
years, there has been a significant surge in the amount of data
generated by organizations, driven by the widespread use of digital
devices, internet growth, and cloud computing. This has resulted in
a complex and diverse distribution of data across various
applications, databases, files, and geographical locations, posing a
challenge for businesses to efficiently manage, process, and analyze
this vast amount of data for informed decision-making. Organizations
need access to this data in real time and on demand for effective
decision making.
Data as a Service (DaaS) brings together
data and presents it through APIs or services. It enables businesses
to access data easily and quickly, as if it were on tap. Data is
readily available when and where it is needed, simplifying access
and facilitating information driven decision making.
Benefits of Data as a Service (DaaS)
DaaS platforms
typically provide organizations with effective data management
solutions. The core principle behind DaaS is to improve a company's
agility, productivity, and profitability by unlocking the full
potential of its data.
Here are some benefits of using a
DaaS platform:
1) Provides unified data, where different
aspects of the data may come from different sources and devices.
2) Efficiently and rapidly integrate many legacy systems, new COTS
(Commercial off-the-shelf) systems, files and several other data
sources. 3) Responsibly retire legacy systems in an orderly
manner without disrupting the business. 4) Rapidly implement
intuitive end-user centric 'For-Purpose' applications.
5) On-demand 'visibility' across the business processes with
business intelligence (A / BI) and ML capabilities. 6) Ensures
that data is consistent, accurate, and up to date, improving the
quality of data-driven business. 7) By simplifying data access
and analysis, DaaS platforms enable companies to rapidly develop API
Factories and launch new products and services more quickly, giving
them a competitive advantage. 8) With DaaS, businesses can scale
up their data management solutions as their data volume grows,
allowing them to adapt to changing business needs.
Challenges of Data as a Service (DaaS) platform
Here
are a few challenges that organizations may face when implementing a
DaaS platform:
1) Integration with existing systems:
Integrating a Data as a Service (DaaS) platform with existing
systems and workflows can present challenges, particularly when
dealing with legacy systems or COTs products with complex
architectures. The successful integration of a DaaS platform
requires the platform to be mature enough to handle these challenges
and to provide tools that can address them effectively. In the
absence of maturity, significant effort and resources may be
required to ensure effective data integration and proper system
configuration. Therefore, it is essential to assess the DaaS
platform's maturity and the available tools to minimize the
complexity of the integration and ensure its success.
2) Regulatory Compliance: Compliance with industry
regulations such as ITAR, HIPAA, GDPR, or PCI-DSS is a significant
challenge while selecting your DaaS provider. For instance, a
company in the aerospace industry that handles sensitive military
data must comply with ITAR regulations, while a healthcare company
must follow HIPAA regulations, and a payment processing company must
adhere to PCI-DSS regulations. Therefore, it is crucial for
companies to ensure that their chosen DaaS platform meets the
necessary compliance to avoid legal and financial penalties. For
example, if an aerospace company selects a DaaS provider that does
not comply with ITAR, they may face severe consequences such as
legal action, fines, and loss of contracts.
3) Vendor
reliability: Choosing a reliable DaaS provider is essential to
ensure that the platform remains available and functional, and that
data is stored and processed securely. Any disruption or downtime in
the DaaS platform can have severe consequences, including production
delays, revenue loss, and damage to the company's reputation.
Therefore, it is crucial for businesses to carefully evaluate the
reliability and track record of any potential DaaS provider before
selecting one to ensure that they can provide the necessary level of
service and support. Despite the importance of reliability, finding
a trustworthy DaaS provider can be challenging, especially when
dealing with smaller or less established vendors.
eQube®-
Data as a Service (DaaS) Platform to meet your data needs.
Our eQube®- Data as a Service platform establishes a Data Fabric
with a connected network of integrated data, applications, and
devices that puts the power of analytics in the hands of end users
leading to Actionable Insights.
eQube®- Data as a Service is
a Low/No-Code Platform that enables businesses to access data from
various sources on demand. The DaaS platform has a built-in data
virtualized layer that exposes the data from underlying applications
and data sources in a uniform manner. This provides users with a
unified view of data that is then exposed as a Web service, REST
service, OData service, or API, without physically moving or
replicating the data to multiple applications. This optimizes
queries and reduces data latency, facilitating quick retrieval and
analysis of data. Additionally, eQube®-DaaS architecture
incorporates other data management technologies like self-serve
analytics, data governance, data integration, and data
cataloging.
With our platform, intuitive 'For-Purpose'
applications can be quickly implemented without writing a lot of
code. The Analytics products built on top of eQube®-DaaS platform
provides on-demand 'visibility' across business processes through
advanced analytics and business
intelligence (A / BI) capabilities. With eQube®-DaaS, end-users
can integrate and migrate data, retire legacy systems, and perform
multi-system data mashups with stunning visualization.
Additionally, eQube Platform's pre-built 100+ connectors use
application-specific APIs, leveraging application security,
application logic and out-of-the-box as well as customized object
models.
Let’s Connect
Every enterprise is different and so are your integration challenges.
Whether you're modernizing legacy systems, enabling a digital thread,
or unifying siloed apps, we’re here to help.