Business Intelligence and Data Handling Report: A Deep Dive

This report examines the critical role of data handling and business intelligence (BI) in modern business operations, focusing on the perspectives of Gartner, a global research and advisory organization. It explores the use of BI for improved decision-making, highlighting the importance of data handling in the context of information technology. The report reviews current trends, including big data, predictive analytics, and cloud services, and emphasizes the significance of authentic data for effective outcomes. It details the processes of data handling, including data storage, disposal, and archiving, and discusses the use of various data sources such as paper-based documents, personal computers, mobile devices, and cloud servers. Furthermore, the report analyzes the impact of data handling on organizational revenue and market position, concluding with the importance of continuous review and research in data handling and BI.

DATA HANDLING AND
BUSINESS
INTELLIGENCE

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Contents
DATA HANDLING AND BUSINESS INTELLIGENCE..................................................................1
INTRODUCTION...........................................................................................................................3
Journal Review.......................................................................................................................3
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
The term business intelligence refers to technology, practices and applications that is
used for collection, analysis, integration and present of information and data related with
business. The main aim to work and implement business intelligence is to support right results
and better decision making for business. This report is written from perspective of Gartner which
is a global research and advisory organisation that offers tools and advice to organisation such as
finance, HR, IT and communications (Grossmann and Rinderle-Ma, 2015). Currently, business is
focused to offer its services for an information technology firm. Moreover, report highlight on
journal review about one current trend of business intelligence. It also leads to enhance
knowledge and systematic understanding related with concept about information technology and
factor.
Journal Review
BI is early inception and it is an abbreviation that stands for Business Intelligence and in
present scenario, it undertakes or evolves those individuals who are from technical staff and
recognise as IT centric process through boosting performance of organisation. This refers that
business must include process of information technology for completing all there task with more
productivity and in minimum time period. Further, the topic which is highlighted from journal is
to understand importance of data handling in a business operation. With the witness and analyse
of organisation as per information technology results that BI and data transform capabilities for
business and leads them to work as per future technology aspect.
From past few years, it is monitored that there is large shift exist in business that leverage
about various trends exists in market. This refers that business houses are performing their work
with motive of sustaining top position in market and also to retain for longer period in
competitive industry (Park, El Sawy and Fiss, 2017). Big data, predictive analytics, cloud
services and data handling are major terms and phase which agree enterprise to enhance its mid-

size business in minimum time period. With the research and analysis of literature it is identified
management consider that data is most effective system for completion of project in minimum
time period. analysis According to research of Gartner it is identified present stage determine to
identify IT-led system that report self-services analytics, business led and completion of task to
work according to modern platforms that leads to complete work in proper manner (Fuchs,
Höpken and Lexhagen, 2014). Along with this it is analysed by company those phase which
enhance revenue of business to work as per current trends of market.
Data handling implement a revolution and decided to dictate paradigm shift for generating
strategies that leads to ensure top position at global level. This also results information is
collected by use various sources. So to handle the trend of business intelligence it is identified
that organisation must develop better results to complete all work properly through matching
information with purpose of organisation benefits and customer benefits. So to understand about
all facts of business intelligence it is identified to complete all work in proper manner data or
information which is gathered must be authenticate and right. So the outcomes from operations
and functions is effective and develop better result through examine role of business handling.
Data handling refers to a process which ensure that all data and information which is
stored, disposed and archived must complete all work with a safe and secure manner. So during
and after completion of research project better conclusion are identified by management.
Moreover, as per present scenario it is also analysed that electronic and non-electronic are two
methods which is used to gather and handle data in minimum time period. From the perspective
of data handling in an information technology context data means to record information of past
few years at a similar place. This also refers to complete research with approach of using data
and information on past basis (Baesens and et. al., 2015). Statistics, graphs and chart play an
important role for collection of information and use them in present scenario for handle and
complete all work in right manner. Along with this right information drive better big data that
defines for complete all work in proper manner. Big data arisen and defined to work something
that practically fit for standards and database to work as per huge information that generate
processes to diverse better work structures, Data are also determine aspects which defines into
three different methods that are defines structured, unstructured and semi-structure data which
sort down to whether that organised pre-defined way. Time-stamped data defines a dataset that
concept for determine defining sequence that capture event time and collect longer result.

Machine data defines digital that exhaust create better system, technologies and infrastructure to
power modern business. So this is an important aspect that leads to paint picture and offer typical
day at work to drive office that respond emails, applications and formats properly to work with
right formats.
From past years, it is saw as a big shift that provides business for consider better and
effective results that solve all major problems for providing data and services with a informative
and detail analysis manner that provides innovative space to make constant changes that refers to
completion of work as per data techniques (Baars and et. al., 2014). Along with this data
preparation also recognise as an important content that deploy platform which is used to improve
work performance. 20th century refer to the information technology year that shift IT-led, system
for record reporting and leading business for organise and agile trusted modern source in order to
provide deep insight about all tools and informative methods which is related with business
organisation and its goals. In the present scenario to make data handling more informative it is
identified that data handling review and its standard outlines public roles, internal and
confidential data through various phase that generates longer results for organisation some of
them is as follow:
 Paper based document which is provided by management define and undertake a topic
that generates right result for audience. This is used for managing work as per search
articles and re-search of literature.
 With globalisation aspect information is also collected by management through use of
personal computer techniques (Alpar and Schulz, 2016). So this helps to gather data at
large platform.
 Mobile devices and information record data is used to ensure results which completes
project in minimum time period. Moreover, most of the all individuals who engage in
operations are focused to use big data. So it is a positive point for management to use
information in an organised manner.
 Remote server and clouds are most important tools that consider all work that is
completed must use password protection, encryption and safety of data. As confidential
information complete all work with motive of understanding and creating information as
an asset to achieve longer results.

CONCLUSION
From the analysis of above report it is identified that business intelligence play an
important role for organisation which is increasing its revenue, goodwill and market area of
organisation through completing project as per data analysis. There are various information
aspects are also present in market due to which organisation manage its task according to trends
which are present in market. Further, understanding and analysing of information technology is
one of complex task for all organisation but with imperative study of journals it is easy to review
essential information and utilise it to generate meaningful and essential information for a specific
project. In the last, with understand of right topic and research about them organisation develop
notes and keep review on essential phase of journal to complete project consistent about data
handling and business intelligence.

REFERENCES
Books and Journal
Alpar, P. and Schulz, M., 2016. Self-service business intelligence. Business & Information
Systems Engineering, 58(2), pp.151-155.
Baars, H and et. al., 2014. Shaping the next incarnation of business intelligence. Business &
Information Systems Engineering, 6(1), pp.11-16.
Baesens, B and et. al., 2015. Fraud analytics using descriptive, predictive, and social network
techniques: a guide to data science for fraud detection. John Wiley & Sons.
Fuchs, M., Höpken, W. and Lexhagen, M., 2014. Big data analytics for knowledge generation in
tourism destinations–A case from Sweden. Journal of Destination Marketing &
Management, 3(4), pp.198-209.
Grossmann, W. and Rinderle-Ma, S., 2015. Fundamentals of business intelligence. Springer.
Park, Y., El Sawy, O.A. and Fiss, P., 2017. The role of business intelligence and communication
technologies in organizational agility: a configurational approach. Journal of the
association for information systems, 18(9), p.1.