The prospects of a BI solution in Russiawhere Kuryshev | 02.10.2020
Business analyst (Business Intelligence BI), the controversial field of activities, understanding of problems and their solutions which are very diverse. Someone thinks that
business intelligence is, first and foremost, economists, financiers and managers. And someone focuses on the technical component, rightly noting that business analysis is inextricably linked with how it
General and in Big Data, Data Lake, and IoT in particular.
In fact, both are right. Most of the representatives of the directions of BI – more cross-functional professionals. And if until recently from the default ones required deep
competence in certain segments of it, but today working with BI tools is simplified and there are even such classes of employees as citizen data scientist(“civil
the data specialist”). Moreover, amid the current situation in the world becomes clear how important this activity is.
To understand the trends and prospects of the market of BI solutions, we spoke with its leading representatives in Russia – software developers, system integrators and their employees
consulting units.
Market trends
Yulia KUDRYAVTSEVA (“foresight”):”We are waiting for the era of streaming Analytics that will determine the level of development of analytical tools.”
Director of strategic development of the company “foresight” Yulia KUDRYAVTSEVA noted that not long ago, many companies felt that to improve efficiency enough
to automate the several key processes, but today the approach has changed. Customers are acutely aware that their goal is to ensure the transition to the all business processes on the basis of platform solutions.
The requirements for functional capability of analytical systems will be developed based on the processes of digitalization, sure, Ms. Kudryavtseva, and enterprises embarked on the road of digital
transformation, are the necessary tools streaming Analytics and voice control. In addition, declare itself the trend of simplification of the systems themselves business analysis that will allow us to expand the number of
users of BI solutions and make easier work on the analysis of the data.
The development of a streaming Analytics will be stimulated and the spread of 5G technologies, we will see more widespread adoption of the Internet of things. These processes, as a consequence, will require new capabilities and
from analytical systems, therefore, will be actively developed and implemented tools for processing streaming data in real time, says Julia Kudryavtseva. About the democratisation of the system
business analysis say a long time, but significant steps in this direction we expect in the near future. The distribution of BI systems involves expanding the number of business users, and creators
solutions are working on the development of capabilities self-service BI: simplified processing tools, downloads and analysis of data, including such complex tasks as modeling and forecasting.
“Today we, as developers of solutions for business Analytics, collide with the interest of customers to the capabilities of voice control. In the next couple of years this trend will gain momentum”, –
said Ms. Kudryavtsev. To accelerate and simplify the analysis processes customers will use voice queries to BI systems is the next step in the “democratization” of intelligence, when the result
issued as quickly as possible, which increases the efficiency of the business processes of the enterprise.
Among other things, increasing demand for big data tools. Ms. Kudryavtseva stressed that it is not just about pilot projects: today, enterprises are developing strategies for working with
Big Data based on current and projected business objectives with the development of technological infrastructure, so in a few years we will witness the implementation of large-scale systems analysis
big data. All of these trends require bi systems to new levels of power and flexibility, in connection with which an enterprise platform expect major architectural changes, especially
in the context of their adaptability and compatibility with other solutions/technologies.
Another important trend is the development of mobile Analytics. According to Ms. Kudryavtseva, the number of corporate mobile applications will grow, will expand the range of available functions and capacity.
In addition, in the foreseeable future BI apps on your smartphone will be used by analysts and managers at all levels.
Svetlana VRONSKAYA (GK “KORUS Consulting”):”the Main trend of the industry is self-service BI, that is the independent work of the users on customizing and creating reports and dashboards”.
Marketing Manager, Department of analytical solutions GK “KORUS Consulting” Svetlana VRONSKAYA believes that the role of it in implementation and support of BI is minimized – business analyst
moves to the position of data scientist and or disappears as the business users to do everything yourself. The second trend – augmented analytics (augmented Analytics) becomes a consequence of the first:
all modern BI systems will be complemented by the functions of artificial intelligence, particularly machine learning, referred to e self-service BI and will help implement (e.g.,
tell users what data to take, how to arrange them and what to do).
Another global trend Ms. Vronskaya calls the integration of BI with the field of Internet of Things (IoT, Internet of things). Transmission of sensor data using such systems is extremely important
task, since in many cases (e.g., complex manufacturing, or in mining) is not always possible to transfer data for processing in a centralized
hub, and from there to BI, in which case they have to upload in to place and handle. “Therefore, vendors will embed in their products functionality for receiving and processing
data from IoT devices and systems,” concludes Ms. Vronskaya.
Anton SPIRIN (“Technoserv Consulting”):”a Significant trend is the use of mobile BI solutions available with BYOD technologies that allow you to work with enterprise data on personal mobile device to maintain corporate-level security.”
Commercial Director of the company “Technoserv Consulting” Anton SPIRIN among the significant trends of the market of BI solutions highlights the development of predictive Analytics and build end-to-end Analytics, and how
at the company level and at the level of individual units and personalized dashboards for employees. These dashboards will be configured by business users. This trend is not new, but
BI technologies in this field are constantly improving and today achieved a significant breakthrough both in terms of basic capabilities that provide a modern BI platform, and in part
easy setup, highly specialized ad-hoc reports, or so-called self-service Analytics. “The important thing is that users are able in real time to interpret the results and
if necessary, adjust the BI reports on the fly to Refine a particular hypothesis” – explains g-n Spirin.
Andrey PIVOVAROV (Oracle):”BI systems are increasingly used not only as an Analytics tool but also as part of business processes, when they are made the automated processing and analysis of data, initiated the necessary actions in other systems.”
The head of a group of promising technologies for pre-project consulting, Oracle in Russia and CIS Andrei PIVOVAROV believes that currently the field of business analysis is experiencing
a transitional stage from the era of self-service to the era of augmented intelligence, in which machine learning and artificial intelligence give an opportunity of access to the data and extracting valuable
information. In recent years, an increasing number of specialists required to conduct their own research data, and, unlike in previous years, among them a lot
IT-specialists. Thus, the functionality of BI systems will continue to evolve in the direction of simplify building reports and visualizations with the use of self-service tools. In addition, due to
new technologies of modern BI tools provide the ability to build predictive models and use other algorithms is much easier than before. In turn, the tools themselves
become more “intelligent” – this is reflected in the emergence of the so-called augmented intelligence (custom analytics). “As a result, the functional BI tools is expanding: today they can
to find hidden patterns, to make recommendations on how best to visualize the data, give other tips,” says Mr. Pivovarov.
Sergey KULIKOVSKY (“Polymedica”):”Speaking about Russia, not to mention the impact of import substitution and increasing level of digitization in the public sector. Successful experience of implementing analytical systems for the FNS became a reference point for certain other Federal authorities”.
General Director of “Polymedica” Sergey KULIKOVSKY sure that the market BI-systems in our country is an interesting situation. A few years ago there was a feeling that
reached the phase of saturation: all who wanted, have already got dashboards and sales began to decline. However, a new round of digitization, and as a result, growing data volumes that need
processing in online mode caused the resumption of strong demand. Mr. Kulikovsky points out that, as before, an important idea of self-service and citizen data scientists –
business users, for whom data analysis is part of the daily working process and they cope with it without the involvement of professional analysts or IT Department. “This
the simplification was made possible due to the fact that the technical work performs analytical platform, offering “under the hood” a large number of algorithms and visualization tools, available at
the click of a mouse,” he says.
Andrew SMERECHUK (OCS Distribution):”Due to the wide adoption of BI tools for enterprise reporting and visualization of intelligence, a fairly wide range of employees have an opportunity to shape reporting in real time”.
Head of business intelligence company OCS Distribution Andrew SMERECHUK focuses on the automation of the process of getting Analytics and reporting in real time. Not less than
important the ability to self-work on the reporting of each employee, he said: “on the one hand, this requires a qualitative approach to data management that significantly improves
the complexity of the implementation, especially for organizations with a long history and a large inheritance already formed systems and datasets. And on the other hand, it allows to make a qualitative
the transition to the new level of the situation, both outside and inside the company.” Ultimately, employees at all levels have access to necessary Analytics in real time, what gives
the company the ability to respond quickly to changes and make informed decisions, underlines g-n Smerechuk.
(To be continued)
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