Outsourcing data management the right way

21 March 2023 | Noor Khan

Outsourcing Data Management the right way

As technology continues to integrate into modern living, companies are finding that they are dealing with more and more data, lacking the tools, staff, and space to store it and are missing out on crucial information that can truly help a business evolve and grow.

Data management has evolved widely over the last few years and has seen trends in the adoption of cloud technologies, focus on data privacy and security, AI technology, and enhanced focus on quality – all making use of ever-advancing tools and processes.

54% of businesses cite data quality and completeness as their biggest challenge, and 58% of data-driven companies are more likely to surpass their revenue targets than those who do not prioritise data. So, you can see there is a business-critical reason to handle data correctly and make the best use of it.

What specific processes can be outsourced?

Knowing where to start, and what you can outsource to others to handle, can help to save time, reduce wastage, and make effective use of budgets.

Some areas of data management in which you can integrate third-party cooperation include:

What are the key benefits of Data Management services?

Data management services allow you to focus on what you need to, whilst they handle the complicated and time-consuming processes of supporting your business with the data.

Some of the key benefits of having data managed services include:

  • Benefitting from experience and expertise
  • High levels of skill in data technologies
  • Applied knowledge of data storage solutions
  • Tried and trusted processes

When deciding whether to outsource data management, it is important to consider every angle.

What challenges are involved, and how to overcome them?

There are always challenges involved in any process, and in data management, it is important to recognise what these are, and have defined steps in place to handle issues, to keep the operation running smoothly.

Some challenges may include:

  • Working with trusted partners – It is important to evaluate your chosen team, and find out what their strengths and weaknesses are.
  • Compatibility – You must make sure that any third-party providers are creating, managing, formatting, and encoding your data in a way that works with your needs. The data will be of little help to you if your systems are unable to parse it.

What to look for in suppliers and providers?

There are a lot of different suppliers and providers that offer their services, and it is important to look at:

As well as ensure that the company are a good fit for you, by discussing your needs with them, and getting their opinion in return. You should not rush into decisions involving your data, as it will eventually form the backbone of your company – and you need to be certain that you have the right tools, and the right people for the job.

Ardent data management services

If your organisation deals with big data and needs to manage it in a  secure, structured way using world-leading technologies and the most up-to-date practices, we can help. Our data engineering teams are proficient in world-leading technologies and deliver excellence to a wide variety of customers. Discover how our clients are thriving with Ardent data engineering services:

Get in touch to find out more about how we can help you unlock the potential of your data.


Ardent Insights

Are you ready to take the lead in driving digital transformation?

Are you ready to take the lead in driving digital transformation?

Digital transformation is the process of modernizing and digitating business processes with technology that can offer a plethora of benefits including reducing long-term costs, improving productivity and streamlining processes. Despite the benefits, research by McKinsey & Company has found that around 70% of digital transformation projects fail, largely down to employee resistance. If you are [...]

Read More... from Outsourcing data management the right way

Stateful vs Stateless

Stateful VS Stateless – What’s right for your application?

Protocols and guidelines are at the heart of data engineering and application development, and the data which is sent using network protocols is broadly divided into stateful vs stateless structures – these rules govern how the data has been formatted, how it sent, and how it is received by other devices (such as endpoints, routers, [...]

Read More... from Outsourcing data management the right way

Getting data observability done right - Is Monte Carlo the tool for you (1)

Getting data observability done right – Is Monte Carlo the tool for you?

Data observability is all about the ability to understand, diagnose, and manage the health of your data across multiple tools and throughout the entire lifecycle of the data. Ensuring that you have the right operational monitoring and support to provide 24/7 peace of mind is critical to building and growing your company. [...]

Read More... from Outsourcing data management the right way