Data service: the 6 steps to a successful choice

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Learn how to avoid mistakes and find the right data service provider for your business with these best practices.

Oct 9, 2018
Information is the raw material, and business intelligence and analysis processes shape it into results with the potential to generate value. But in this process, there is a need: data services.

A data service is any type of service offered by a company outside the business that helps manage the business's data assets by virtue of the powers granted through an outsourcing contract . Outsourcing is very common in matters related to data management and, nowadays, it can be done in very diverse and flexible ways. An example of this are the recent DaaS, data as a service , which are services delivered by cloud service providers that deal with different functions, such as analysis, security or quality processes, among others.

The main benefits of a data service include scalability and cost-effectiveness . But these are not the only advantages; data services give IT more flexibility to choose storage that is cost-effective viber database easy to maintain . Thus, data services make it possible for organizations to store data in the cloud or use a hybrid cloud for data storage . Once created, data services are reusable, which makes it possible for the organization to save a lot of time in future development. In addition, because developers have fewer data-related programming tasks to complete, new IT initiatives can be implemented quickly, making the organization more agile.







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Data services and the retail industry
For most retailers today, the question is not usually whether leveraging the cloud is a good idea. Now the most common questions are how to get the most out of the cloud and which applications and processes to opt for, which data service to choose.

Migration analysis, big data processing and cloud data storage are often priorities in the retail industry.

The quest for greater agility is another goal for companies in the sector. The addition of cloud-based data processing capabilities provides this, allowing them to react to changing market conditions. Choosing the right data service drives deeper customer relationships and often delivers significant cost savings and operational efficiencies.

As you evaluate different options, it is important to consider the following:

How services will work with existing tools and systems.
What specific security and governance requirements will exist.
But retail is not the only industry that relies on data services. In fact, more and more companies from very diverse sectors are seeking the support that these services offer in the cloud.