Cloud Data Strategy

Strategize and achieve your organization's goal by mobilizing resources to execute the actions.

 
 

Cloud Data Strategy

Strategize and achieve your organization's goal by mobilizing resources to execute the actions.

Charting a high-level course of action

We are living in Digital World where most major companies have “data-driven culture” where data is considered the most prized asset and have a major influence on the company’s goal. The underlying principles of an Enterprise Data Strategy comprise a multi-step framework, a well-designed strategy process, and a definitive plan of action. However, in reality, very few businesses today have their Data Strategy aligned with overall business and technology goals.

DigitalGlyde’s Data Strategy, along with aligned technology and business goals, can significantly contribute to the core performance metrics of our client’s business.

Data Management

Large number of data, if not handled properly can lead to Data Management failure from time to time Data provides “insights” that businesses use for competitive advantage. When overall business goals and technology goals are left out of the loop of an Enterprise Data Strategy, the data activities are likely to deliver wrong results, and cause huge losses to the business. So, it is important to align a good Data Strategy with overall business and technological goal of the business to ensure proper flow of data and analysis of the data.

DigitalGlyde ensure that the client’s company/business have a well laid out Data Strategy plan that seeks to transform the current state of affairs into “strategic Data Management initiatives” leading to the fulfillment of desirable business needs and objectives in the long term, then there is a higher chance of that Data Strategy achieving the desired.

 

DigitalGlyde for Data-Driven

DigitalGlyde helps clients/Businesses to adopted a data-driven culture and put efforts to explore the underlying relationships between the overall business goals, technology goals, and Data Strategy goals. Clients/businesses can use DigitalGlyde’s advanced analytics infrastructure to make this assessment before drafting a policy document for developing the Data Strategy.

In today’s digital ecosystem, the Data Strategy means the difference between survival and extinction of a business. Any business that is thinking of using data as a strategic asset for predetermined business outcomes must invest in planning and developing a Data Strategy. The Data Driven Strategy will not only aid the business in achieving the desired objectives, but will also keep the overall Data Management activities on track.

Cloud Adoption

As Data Strategy and Data Governance continue to gain momentum among global businesses, another parallel trend that has surfaced is the rapid shift to cloud infrastructures for business processing.

As the industries move towards Data Strategy and Data Governance, cloud adoption is essential to achieve the goal of the industries. Cloud Adoption for Data Management strategy practices, Cloud Data Management practices also revolve around Metadata Management, and Data Quality on which Industries are focusing more to provide their customers a better service without compromising on the quality of the delivery.

While any industry/company can have their own server/database to handle such scenarios, most of them prefer cloud adoption for an uninterrupted data flow, data security and privacy.

Cloud as Data Strategy

When the industries think about data strategy, Data Management, Data Security & Privacy along with cost effective is what most important to consider.

One can have their own data center but the cost will be very high and maintaining is also not so effective as there will be some down time now and then. Thus, the more appropriate and cost-effective way for the data strategy to implement is going to cloud and let them handle the data along with security & privacy setting.

As cloud enables Big Data Analytics at scale, it is a popular computing platform for larger businesses who want the benefits without having to make huge in-house investments. Cloud holds promises for medium and small businesses, too, with tailor-made solutions for custom computing needs at affordable cost.

Strategies Essential for Cloud Environments?

According to IDC, investments in “digital transformation” are slated to touch $2.0 trillion in 2020, with cloud infrastructure taking the top growth slot at 29.4 percent CAGR. The shocking anomaly is that while businesses are making huge investments in setting up cloud infrastructures, they have not yet developed well-rounded Cloud Strategy and Data Management strategies to protect their investments.

The following points should be kept in mind while developing a strategy plan for the cloud transformation:

Consensus Building for Cloud Data Strategy:

The core requirement behind building a successful Data Strategy for the cloud is consensus building between the central IT Team, the cloud architect, and the C-Suite executives. The blog post 5 Steps to Develop Your Cloud Data Management Strategy suggests that so far, business operators have not spent time on developing optimized cloud strategies, which includes Cloud Data Strategy. This problem is compounded in cases where businesses may be mix-matching their cloud implementations.

Data Architectures on Native Cloud:

The news feature titled Six Key Data Strategy Considerations for Your Cloud-Native Transformation throws light on cloud-native infrastructure, which is often ignored during a business transformation. According to this article, though enterprises are busy making investments in a cloud-native environment, they rarely take the time to plan the transformation, thus leaving Data Architecture issues like data access and data movement unattended.

Creating Data Replicas:

Data replication on the cloud must avoid legacy approaches, which typically enabled data updating after long durations.

Data Stores across Multiple Clouds:

HIT Think: How to Assess Weak Links in a Cloud Data Strategy specifically refers to storage of healthcare data, where data protection and quick data recovery are achieved through the provisioning of multiple cloud vendors. These solutions are not only cost-friendly, but also efficient and secure. Data Storage Strategy: Pre- and Post-Cloud Computing covers data storage strategy on the cloud.