Business Intelligence Using Big Data

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BUSINESS INTELLIGENCE
USING BIG DATA
DATABASE
6/5/2019

EXECUTIVE SUMMARY
Business Intelligence is a new business exploiting technology, implemented today by not
only large scale businesses, but also medium and even reaching small scale businesses,
technically. Since there are more and more technologies and tools are developed every year,
there needs an additional effort for the project managers to choose the appropriate technology
and tool suitable for the respective business case. Business Intelligence enables the
businesses to exploit the data, as never before and today businesses do not need much time to
reach the anticipated levels in the business and achieve the business goals in shorter
durations. Among various technologies and tools for visualization of the extracted data, from
big data, the best tool and architecture are needed to be selected and implemented for the best
outcome.

Contents
INTRODUCTION...................................................................................................... 3
BIG DATA USE CASES AND CRITICAL ANALYSIS OF BIG DATA TECHNOLOGIES......3
TABLEAU............................................................................................................. 3
Differentiating Features...................................................................................3
Feature............................................................................................................ 4
Usability.......................................................................................................... 4
Pricing............................................................................................................. 4
TABLEAU ARCHITECTURE................................................................................ 4
PROS............................................................................................................... 4
CONS............................................................................................................... 5
QLIKVIEW............................................................................................................ 5
Basic Features................................................................................................. 5
Usability.......................................................................................................... 6
Pricing............................................................................................................. 6
Summary......................................................................................................... 6
Differentiating Features...................................................................................6
POWER BI........................................................................................................... 6
Features.......................................................................................................... 7
Usability.......................................................................................................... 7
Pricing............................................................................................................. 7
COGNOS ANALYTICS BY IBM...............................................................................7
Functionalities................................................................................................. 7
BIG DATA ARCHITECTURE SOLUTION.....................................................................8
Business Strategy............................................................................................... 8
Architecture........................................................................................................ 8
CONCLUSION....................................................................................................... 10
REFERENCES........................................................................................................ 10
INTRODUCTION
The advancement in technology today has provided a long list of powerful Business
Intelligence tools and Data Visualization tools, which enable to illustrate the new ideas,
visualize huge data, interact with it, and share the analytics with the global community and

customers. The list of Business Intelligence and data visualization tools is huge, today. These
tools basically help in illustrating the intended idea, visualize the required data, interact with
it, share the analytics of this huge data with the global community and clients of the business
(Coker & Frank, 2014). Since the list is very long, the most commonly used platforms tools
are addressed. To explore the real time usage and variations in functions, it is important to
explore more in terms of functional product value of the tool. It needs to explore primary
features, special features, cons and pros of the most commonly used tools.
BIG DATA USE CASES AND CRITICAL ANALYSIS OF BIG
DATA TECHNOLOGIES
In this telecom project, the basic use case is to analyze the customer, analyze the network
traffic and improve the business and eventually profits.
TABLEAU
Tableau is one of the biggest players in BI. The tool allows data dashboards creation and
distribution in easier way and allows an insightful dynamics depiction, data density
distributions, trends of change, through simple yet effective convenient medium visuals. The
tool facilitates connecting to data of multiple types and sources, with several systematic
types, like data in various file formats, like MS Excel, XML, JSON, CSV, etc., various cloud
systems, like Oracle Cloud, AWS, Microsoft Azure, Google BigQuery, etc., and data
systems, both relational and non-relational, like SQL Server, PostgreSQL, MongoDB,
MySQl, etc.
Differentiating Features
The most differentiating feature of Tableau architecture that makes him stand apart from it
competitors is the special data blending feature. One more feature unique to this tools is the
collaboration ability in real time, allowing it as a valuable investment for the organizations,
no matter non-commercial or commercial, in the same way. The reports of Tableau can be
shared in various ways, via tableau Reader capability of email, via publishing the reports to a
Tableau server, through openly publishing its workbook and allowing access through the link.
These numerous options removes various restrictions and enables the users of Tableau, a
great flexibility. This is the major benefit and reason for choosing Tableau architecture for
this telecom project.
Tableau offers visualization capabilities in a broader variety, with distinct features and allows
deep insight and data discovery to be done in smarter ways. It contains rich visualizations
types library that includes ‘bubble charts’ and ‘word clouds’, which provide comprehension
at higher level and this feature is unique to Tableau. Its treemap helps for depiction of
categorical data parts with more focus on the information that is most relevant.
Dashboards of Tableau are flexible, amazingly. Its basic and central feature enables the user
to layout the dashboard, remarkably, in the way designed with handy overlaps that is very
handy in the ergonomics of screen space.
Tableau architecture allows apprehending as a good working tool, because of its pretty gentle
learning curve. It also allows all the power to provide to all kinds of users, even without
technical aspects of workflows of visualization. It is made possible through intuitive interface