{"id":11674,"date":"2022-09-14T17:55:28","date_gmt":"2022-09-14T10:55:28","guid":{"rendered":"https:\/\/bestarion.com\/us\/?p=11674"},"modified":"2025-07-24T15:17:28","modified_gmt":"2025-07-24T08:17:28","slug":"top-6-data-services-businesses-should-outsource","status":"publish","type":"post","link":"https:\/\/bestarion.com\/us\/top-6-data-services-businesses-should-outsource\/","title":{"rendered":"Top 6 Data Services Businesses Should Outsource"},"content":{"rendered":"

\"data-services\"<\/p>\n

If you’re thinking about outsourcing data processing services (or aren’t sure why or what to outsource to a third party without jeopardizing the security or integrity of your enterprise data), keep reading.<\/span><\/p>\n

<\/span>What is Data Service?\u00a0<\/span><\/span><\/h2>\n

Data services in IT are third-party services that assist clients in managing data. Many uses of this term involve services known as “data as a service” (DaaS), there are web-delivered services provided by cloud vendors that perform various functions on data.<\/p>\n

The definition of data services is quite broad. Data services can aid in collecting data from various parts of architecture or establishing a central data centre repository. Data services can handle data in transit or data storage. Data services could also perform various types of analytics on large data sets.<\/p>\n

<\/span>Why Should You Outsource Data Services?<\/span><\/h2>\n

There has never been a better time to pay attention to data. Data has taken centre stage in the creation of value around the world. It influences strategies, approaches, and ROI in a variety of ways. But, while that is important, so is the fact that data processing errors cost businesses millions of dollars each year.<\/span><\/p>\n

It can easily become a significant risk for businesses for all that data (worth $274 billion, touted as a profitable initiative, dubbed the new corporate asset class). Data errors have serious consequences, ranging from poor insights and misdirected growth to billions of dollars in monetary losses.<\/span><\/p>\n

For the past decade, gaining complete control over their data has been the top organizational goal. Despite this, we see businesses defeated by overflowing data year after year; we see poor performance and losses that could have been avoided if the underlying data had been cleaner, more accurate, or better organized. Furthermore, most businesses’ confidence in their data does not correspond to reality.<\/span><\/p>\n

While most respondents in a Validity survey claimed to be data-driven enterprises, nearly 28% reported losing 10-14% of their revenue, and another 28% reported a 5-9% revenue impact due to poor data quality.<\/span><\/p>\n

This points to one conclusion: data requires greater care and heavy-duty monitoring at the atomic level. Outsourcing becomes necessary when businesses fail to do so (for whatever reason).<\/span><\/p>\n

<\/span>What Kinds of Data-Based Services Are Commonly Outsourced?<\/span><\/span><\/h2>\n

Initially, businesses outsourced data-related activities that could be managed from an offshore location and were of little significance but consumed a lot of time. As data outsourcing services evolved, strengthened their infrastructure, began offering specializations, and ensured a more secure (mostly cloud-based) system, so did the requirements.<\/span><\/p>\n

But, among that growing list, which services are currently being outsourced the most?<\/span><\/p>\n

Those that require a significant time investment have no margin for error and become increasingly complex as they scale, and here they are:<\/span><\/p>\n

1. Data Preparation (Sourcing, Cleansing, Enrichment)<\/span><\/h3>\n

Any data ecosystem is only as good or accurate as its smallest component. Two major obstacles prevent businesses from maintaining such thorough precision in a dataset.<\/span><\/p>\n