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Why does Your Organization Need to Shift to the Cloud

Why does Your Organization Need to Shift to the Cloud?

By prompt 0 Comment October 12, 2020

Today organization, either small or medium or large, are looking for more business value from their data. Business data has become spinal of businesses because every decision and actions are dependent on it. Thus, the increased dependency has increased the pressure on data executives to access, manage and distribute and analyze the data coming out from different sources before it becomes worthless.

The task of processing the volume data are both challenging as well as expensive with legacy systems, architectures and storages plans while shifting organizations towards cloud migration. The shift to cloud migration can cut off the cost and increase access and viability.

Well, the reason for a shift can be different for different organizations and is based on the organization’s need.

Here the list of few common reasons for shifting to the cloud:

  • Consumption-based model: The consumption-based model is one of the beneficial advantage offered by the cloud. The high price of storage, servers and operations designed for on-premises implementations are the reason for the switch to clouds. Cloud provides a utility-based model which allows user to pay for ‘what and when’ it is used.
  • Value-added insights: Aquiring value-added insights from the data is a goal of organizations. The available ongoing costly solution requires high maintenance due to the complex and massive data flow. The traditional data warehouse solutions are not capable of meeting the needs of an organization and does not provide value-added insights for better results.
  • Reaching end-of-life/end-of-support: The traditional platforms and technologies are not capable of reaching end-of-life/end-of-support or scale-up. Cloud Migration that results from data warehouses is capable of reaching the end of life/support by the provider.
  • Leveraging analytics and AI/ML: Old platforms and warehouse solutions disappoint in leveraging analytics and AI/ML for extracting better business insights. They fail to support organizations in meeting the set objectives and goals. On the other hand, they require a high cost of maintenance too.

Well, if you have decided for cloud migration, then let’s get to ‘where’ and ‘how’ questions directly.

From where to start for migration?

Suppose an organization has made a mind for cloud migration, then the most important question which strikes in mind is ” where to start?”. Cloud migration is no different from any large transformational initiatives as it involves a logical starting point. The already existing data warehouse is actually a starting point because it stores a large amount of data.

Read More: Six Inevitable Steps to Bring Digital Transformation in Your Business

How to start?

The database migration or complete end-to-end cloud migration requires a whole focus on the source of the transformational initiative.

Some of the success factors which can help in cloud migration are as follows:

A) Developing a strong business use case resonates across the organization. It ensures clarity, provides vision, offers strategic guidance for initiative and provides a methodology to measure success. A well-designed business use case involves different technologies, platforms and IT. It provides a common framework to deliver optimal value.

B) Keeping knowledge of current state and future state while sharing a common perspective across the organization is essential. This involves cross-checking the technical architecture, understanding the cultural and political dynamics present around the initiative. When everything is clear that is a solid understanding of the current state and its requirement, future goals and objectives and existing gaps, then a precisely planned roadmap can be efficiently followed for near-term or long-term value.

C) While undertaking a data-driven program, one should follow the set standard and requirements for collection, identification, storage purposes. Data governance involves unstructured data, semi-structured data, structured data, registries, taxonomies and ontologies as it contributes to organizational success through regular and compliant practices. Guidelines from administration need to discuss all types of new data requirements that must be included as a part of any new program. Thus this must be addressed at the source to ensure that the resulting insight can be trusted to assist the organization in achieving value from the investment made.

D) Precise planning and keeping an eye on future guarantees success. Today, new tools and technologies are available in the market. Creating a well-planned data strategy allows organizations to scale-up and nurture their investment in a most-favourable manner. Data strategy recognizes the critical skills required and what is needed to achieve business objectives, plans and strategies.

A complete data strategy will also help in overviewing data management and assures that all essential steps involved in the modernization process are followed. The modernization process involves data migration, cleansing, standardization, and governance.

To confirm long-term, scalable and sustainable data program, an organization must go for single approach instead of being involved in different projects for the same purpose. Disparate projects do not lay the required right foundation for business transformation. An enterprise data warehouse implementation or modernization is not an easy task. Still, a precisely-designed, well-socialized, futuristic strategy supported by the right level of capability can assist organizations in achieving their objectives.

Prompt Softech is an IT company working with a motive to elevate businesses through innovative and smart technologies. The IT company assists businesses which require cloud migration. The Softech company gives priority to the current need of businesses and delivers the most fitting solutions. If you wish to benefit more from the data, then must switch to the cloud and enjoy the advantage by generating the business value data.

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