Need for
Speed (and Scalability): Take Advantage of Cloud Transformation Ready
Solutions
The future
of the company is in the cloud. The numbers support this claim: The global
market for public cloud services alone reached $ 312 billion in 2020, according
to IDC, driven primarily by demand for shared infrastructure, data, and
application resources. Yet despite the high praise and well-publicized push for
the move to the cloud, HIS Markit research found that 74% of companies have
brought a cloud-based solution on-premises after it failed. provide the
expected benefits.
Clearly, the
migration to the cloud is tedious and time-consuming. They are challenged by
extreme complexity that often results in well-intentioned efforts to find the
perfect match.
However,
high-performance organizations continue to move their data platforms to
cloud-native and data flow models, accelerating the demand for cutting-edge
data capabilities. Cloud data platforms help optimize data consumption,
balance, and scalability in three critical areas: DataOps, FinOps, and SecOps.
These areas are the foundation of the XOps concept, a framework that integrates
and coordinates the ingestion, design, dissemination, collaboration, and
understanding of data in an enterprise data infrastructure.
Why
Leveraging XOps Makes Sense for Cloud Data Platforms
Without
question, a powerful XOps strategy integrates and simplifies data ingestion,
design, dissemination, collaboration, and understanding throughout the process.
In the process, XOps addresses four important aspects of business data needs:
Ensures
flexibility and agility: Modern businesses prioritize agile data monetization
to stay ahead of the competition. By leveraging XOps, they can upgrade to
enterprise data pipelines, accelerate data monetization, and leverage data
insights to drive efficiency and revenue, and drive growth.
Build access
and trust: Access to data inevitably depends on an organization's ability to
find and use the right data across all of its business units. And while it may
sound easy, Forrester estimates that only 29% of organizations are good at
"linking analytics to action." With the XOps framework, companies can
reduce reliance on specialized teams and promote better data management,
quality, and analytics.
Improve scalability
- The XOps framework can help standardize a company's growing data landscape.
It also provides the ability to integrate and scale multiple data sources,
including new sources, use cases, data consumers, and more. Data operations can
be simplified and made more efficient and productive.
Drive strong
governance: With a well-defined XOps framework and cloud data platform,
organizations can integrate authentication and authorization across the data
journey to decision making. It also helps centralize business metadata
management and scheduling and recording mechanisms. Last but not least, XOps
enables the infrastructure needed to perform a more detailed audit of checks
and reports.
Data
analytics platforms: to build or not to build
Traditionally,
organizations have often chosen to build data applications and platforms from
scratch. This approach was based on the premise that a Plug and Play solution
would not meet your unique needs. However, organizations have always wasted
time, money, and effort keeping up with the evolving business and technology
landscape. Often times, a custom data platform will require constant
maintenance as the volume, sources, and types of data expand over time. Then
there is also the matter of keeping up with new data types that were not
considered in the original system design.
Upgrading
the system to keep pace with technology and business needs and ensuring optimal
data flow becomes increasingly challenging with DIY solutions. This is
primarily because evolving data sources, silos, supporting applications, and
technology can expand at sometimes unsustainable rates. In addition, the need
for qualified resources must be considered.
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