15/02/2022
Gathering insights from Big Data remains a challenge for most companies in 2022.
According to Sigma Computing, employees from 63% of companies say they can’t get insights from their data before it becomes outdated. Another Forrester report highlights the same problem from a different angle, stating that between 60 and 73% of all data is never used for analytical purposes.
Today market recognizes the importance of Big Data and its immense role in digital transformation. So why do companies fail to make efficient use of valuable data at hand?
Innotech’s expertise in Big Data is concentrated in a separate unit - Datatech. We asked Alexander Fridman, First Deputy CEO of “Datatech”, to explain why many market players are still struggling with this issue despite collecting large volumes of information:
“Today working with Data is critically important in order to stay on top of the continuous market changes. It is essential for any business to be able to make fast decisions and come up with the right products based on customer needs. Hence, companies need to be data-driven.
Society around the world continues to embrace digital era. This involves new ways of content consumption, active use of internet, new ways of shopping, etc. Our everyday activities generate an immense amount of data, which has potential to be used both by business and individuals for their benefit.
Estimates may vary, but experts agree that all industries combined generate over 2 exabytes (2,000,000,000,000,000,000 bytes) each day. An impressive number, however, when it comes to comprehensive data analysis, two key issues instantly emerge:
1. Lack of Budget. To effectively process all incoming information, you need to set up an appropriate data management architecture. It is absolutely crucial in order to receive analytical information, efficiently assist with decision-making and strategic planning. But such architecture, even though fully worth the cost, can be really expensive. Many business owners are not ready to commit to such investments.
2. Shortage of qualified data scientists and developers. You really want experienced IT specialists to run your data management. At the moment there are simply not enough of them for the entire market.
Despite these continuous issues, some industries seem to be doing much better than others. Online entertainment is definitely one of them. Take Netflix and Spotify. Due to efficient data management these services are able to offer instant and precise content recommendations to users. People are encouraged to keep paying subscription fees until they get bored (which may never be the case due to endless personalized recommendations).
A great example of what happens when a company fully commits to investing in Big Data management”.
So what about Datatech’s expertise? How is the company prepared to face today’s challenges?
“We are fortunate to have some of the best specialists in Big Data in Eastern Europe within our team, including data engineers, data scientists, analytics, developers and more“– says Alexander.
He continues: “Even though officially our company was recently born, our staff has years of experience within IT sector. Last year Russian banking industry reported huge profits. This would not have been possible without effective data management, an area where our team members have contributed to.
We combine and make the most of data science, artificial intelligence and machine learning to integrate a full management cycle, from corporate storage to unstructured Big Data analysis platform. We also develop industrial solutions involving modern analytical methods as well as ML and AI Technologies.
Datatech is very excited for new partnerships and is fully committed to providing industry-leading data management services.”