Big Data analytics outsourcing: How to get it right in 2021

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The big data and analytics market was among the least affected by the effects of the coronavirus crisis. Against the backdrop of economic difficulties, companies once again began to look for an opportunity not only to optimize their existing business in big data outsourcing company, but also to predict changes in order to prepare for them in advance. In modern conditions, this can only be done using analytical platforms.


Key features

Big Data, today, is one of the key drivers of information technology development. This direction, relatively new for Russian business, has become widespread in Western countries. This is due to the fact that in the era of information technology, especially after the boom of social networks, a significant amount of information began to accumulate for each Internet user, which ultimately gave rise to the direction of Big Data.

The term “Big Data” causes a lot of controversy, many believe that it only means the amount of accumulated information, but do not forget about the technical side, this area includes storage technologies, computing, as well as services.

It should be noted that this area includes the processing of a large amount of information, which is difficult to process using traditional methods.

Benefit: Ease of scalability and fast path to mature analysis

In addition to the ability to acquire data analysis skills, outsourcing services can help an organization quickly build an analytic infrastructure that is difficult or impossible to build on its own.

There are plenty of such solutions on the market. Today we are talking about their development in two main directions. First, it is support for corporate reporting. Customers are keen to see analytics platforms help them modernize their reporting systems, making the results more visible. Second, there is the level of use of “augmented analytics”, that is, the use of artificial intelligence and machine learning tools in analytical platforms.

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Analytical solutions market:

• Prospects for the development of regulated data trading.

• Development of uniform standards for the use of data: prospects and forecasts.

• How are the requirements for storing accumulated data changing?

• Regulatory requirements: obstacles or opportunities?

• Import substitution in analytics: how the demand for Russian BI solutions is growing.

• What specialties will the market need after CDO and Data Scientist?

• How the growing availability of predictive analytics technologies will affect the market.

Analyzing data has become a natural part of doing business and today is more than a collection of data warehouses and business analysis,” said Jorgen Heisenberg, director of data science and analysis at Gartner. “However, the enterprise is not always able to cope on its own with the level of scalability and complexity that is required. More often than not, organizations seek external support when there are no internal resources to meet the growing demand. “

Another factor may be the desire to reduce costs when purchasing analytical services, since their suppliers often use the analytical resources they already have – frameworks and accelerators.

“Leveraging a provider’s technical expertise, whether it’s data warehousing, automation and robotic implementation, or cloud-based tools, can be a big plus,” Close added. “Offloading data analysis to an outsourcing provider is driving the transition to innovative solutions that are not currently being considered by the enterprise.”


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