Exploring Trends in Data Handling and Business Intelligence

Data Handling and Business Intelligence

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Recognize and analyse systematically latest trends in data-warehousing, business intelligence
and data mining:..........................................................................................................................3
Presenting a thorough understanding of core concepts and values through the use of predictive
analytic software:.........................................................................................................................6
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
Data handling is primary challenge or issue for organizations to coordinate and evaluate all facts
to generate a legitimate outcome. Business intelligence is also one critical dimension in which
enterprises explain the extent that accurate data are gathered and accurate findings obtained. This
is since data obtained are processed for business purposes and targets (Božič and Dimovski,
2019). The report focuses on journal review of key vital latest trends in business-intelligence,
data warehousing and mining based.
MAIN BODY
Recognize and analyse systematically latest trends in data-warehousing, business intelligence
and data mining:
I. Business Intelligence: The expertise, systems, technologies, frameworks, and strategies
that help in decision-making in enterprises can be characterized as Business Intelligence (BI).
This is a wide array of the applications and technologies utilized to store, evaluate, store,
correlate and provide people accessibility to data captured to help them make better strategic and
business decisions. In this context here are several vital trends related to business intelligence, as
follows:
 Artificial Intelligence: In many businesses, the acceleration of adoption of the Artificial
Intelligence (AI) is now a truth, but those who don't incorporate it in recent period may feel
they are slipping back. Nearly 40% of corporations now have AI technology, as well as a
greater percentage of businesses initiate projects at the earliest opportunity (Das and
Ngamruengphong, 2019). A clear instance is use of chatbots. Because there is still certain
infrastructure missing, organizations are actively working to develop their systems. But as it's
a important phenomenon, its efficient operations for all businesses that already use AI in
every sector are on improvement agenda.
 Storytelling (what is actually behind numbers): Organizations must interpret and critically
evaluate their information. Thus, specialized tasks are developed for all of this. Analysts
must always be trained and skilled to do what, called storytelling. The problem is, which
techniques are these interpreters going to use? That functionality is internally developed by
some corporations. For instance, some start-up companies have already implemented
storytelling tools for tell lengthy-form narratives about data. However, almost all of these