In the business world, it is essential to gain advantage over competitors. In order to have the edge over our rivals, we need well-thought-out and carefully planned decisions. Data-analysis, as a method, is getting more and more widespread in decision-making, which means that there is a well-coordinated work within the whole enterprise using information and communication technologies and introducing more complex business solutions.
The Gartner market research company predicts that a new generation of business intelligence will appear. To justify this idea, they mentioned that there is a growing demand for exploring connections among data.
According to the study of Tableau Software, the most important trends of 2015 in business intelligence are the following:
Data Governance in transition:
In the
world of self-service analytics, we cannot simply lock up data or forbid data
processing. Questions we have to ask are whether the data used in business
planning and decision making are up-to-date; how the different departments
coordinate; and what the legal requirements of security questions are.
Key
questions for determining data-using strategies:
team: its
task is to review the existing data, then to create an effective self-service
system. It is about the coordinated work of computer engineers and managers,
since it is necessary to organize the different needs into one system in order
to create a successful and holistic structure. In addition, the process is suitable
for discovering new sources.
data quality: the formed system has to be able to direct users towards up-to-date, accurate shared data
data
security: classifying data and ranking access levels can help to preserve the
protection of delicate information
report:
preparing straightforward guidelines which explain how to access data
Social
intelligence:
For
businesses, it is crucial to comprehensively analyze the data of social
networks, because information gained from this analysis can show the tendencies
and courses of target audience’s interest. Organizations are in possession of
up-to-date information about what their customers talk about; when a product or
topic gets popular. Feedbacks, posts, reactions (all of which are recorded) related
to products and campaigns create a vast data volume whose study leads us to
understand current trends and behaviors.
Simple, clear-cut usage:
Due to applied innovation in the past decade,
the process of data-storage, usage and supervision has become obscure. Thus, in
the future, simple user interface will become widespread and one of its
embodiments is data visualization. This method will help to carry out
self-service analyses, to share, to facilitate access to operational, planning
and financial information. If we have the necessary information, it can
increase the operational effectiveness.
Widely used
cloud analysis:
While previously,
data usage was limited to cloud-based data, in the past years, analysis of
information stored on storage devices has appeared. From this year on,
enterprises will choose this cloud-based access, only if they can specifically
employ it in their business.
Spread of
interactive data:
By means of
technology, information is interactive enough to motivate us to have a
discussion and to talk about something in a meaningful way. Information
analysis enables the invention of new perspectives and aspects for the audience.
Spread of
visual information:
Online
news-services recognized that visuality is gaining more and more importance;
therefore, the era of data diagrams and graphs is on the rise. Tables and
graphs that visualize connections help us understand information better.
Technical devices in the pocket:
Mobile
analytics tools are especially suitable for ensuring access to information even
if we are not sitting beside our desks. Analytics
provide those who are out of office with fast and live data.
These
forecasts also show how important it is to use new and modern devices and
systems, which we have to take into consideration if we do not wish to lag
behind our competitors.
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