Big Data

How to Build a Big Data Strategy with Translation at its Core

How to Build a Big Data Strategy with Translation at its Core

Big data and translation may not seem like two concepts that go together on the surface. However, with increasing collaboration across the world, a big data strategy can benefit hugely from quality translations. Below, we’ll go into how to work language translation into your big data strategy and how to achieve cost-efficient translations in the process.   

Learning the Basics of a Big Data Strategy Before Language Translation 

In order to know how language translation will work with a big data strategy, it’s important to know what the overall parts and goals of such a strategy are. 

A big data strategy outlines and defines a comprehensive method across an organisation for how to become a data-driven operation. It helps the organisation understand the benefits of a big data plan. More specifically it might:

  • Establish principles that guide a vision with data as its core
  • Help the business establish specific goals
  • Support data-driven planning across all levels of the organisation

The main goal of a big data strategy is to make sure all departments across the organisation are making use of data in a similar manner, with the same strategy in mind. Without such a plan, different departments could run analytics and data programs differently. That could lead to fractured organisational planning and operations. 

Every part of the big data strategy needs to be included with the organisational strategy. At the centre of any great big data strategy is, of course, the data itself. Big data encompasses anything that refers to massive amounts of data that grow exponentially. Big data sources can include:

  • Employee tables
  • Contact information forms
  • Email usage stats
  • Social media platform data
  • Remote monitoring using healthcare wearables
  • Credit card use monitoring
  • Sales data, like demographic surveys, store inventory, and POS data
  • Traffic flow monitoring
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These days, if it happens, odds are technology has made it quantifiable. A good big data strategy helps a company identify which data is important and how that data will be processed, analysed, and acted upon. It enables a business to make sense of unprecedented amounts of data.  

So, what do a big data strategy and quality translations have to do with one another? Below we’ll go into why you should include language translation in such a plan.

Why Big Data Needs a Language Translation Agency

As mentioned above, big data strategies are massive, organization-encompassing plans outlining how to look at and act upon data. Ofer Tirosh, CEO of language service provider Tomedes points out:

“If a corporation operates in multiple regions, data will be coming in from multiple areas and may well be in different languages. As such, it makes sense to include the use of a translation agency in a big data strategy. You may need language translation to handle data that are in other languages, like demographic surveys. A good translation agency can help make sense of data that are listed in other languages, from different numerical formats to the language used to describe the data.”

Across the planet, we have a vast amount of data to sort through. And even that is a massive understatement. The rate at which we are generating data is ramping up significantly. By 2013, 90% of the world’s data was generated in just the previous two years.

Fast forward to 2020 and each person now generates 1.7 megabytes of data per second. A translation agency can help organise how that data is displayed. Many translation agencies handle business documents like financial or business reports, which often outline data collected by the organisation. 

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Another part of big data is predictive analysis. With enough data, a company can anticipate buying trends and even look at how the business might perform in a new market. A big data strategy might outline how data will be used to analyse or predict new demographics into which to expand. If those demographics speak other languages, language translation can help with the analysis of, and expansion into, those markets. 

How to Source Quality Translations

What are the best practices regarding choosing a translator? You can ask around your network or look online for local agencies using keywords like translation agency UK. You might also use search terms like translate to Spanish, translate to Hindi or translate English to French.

Once you find a translation agency, vet the quality of the service to find cost-efficient translations. A few things to keep in mind include:

  • Look at past work portfolios or client testimonials. Pay close attention to any work that has been completed related to data, like business reports, financial statements or spreadsheets. 
  • Make sure the translator has past work or educational experience in the language they translate. Some translators may also belong to a professional organisation in the language sector. 

You might also consider preparing a list of questions for the agency or translator. Some questions you might want to ask include:

  • What is your experience with quality translations related to data?
  • Have you ever helped a company expand into a new market with the help of data analytics?
  • How do you ensure translation quality? For instance, multiple stages of review of the documents are common.
  • How do you keep on task to meet deadlines? 
  • How do you deliver cost-efficient translations?
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This will help you assess the translation company’s communication skills. Clear communication is essential to building a big data strategy that has translation at its core.

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