qlik view or tableau

White Paper on QlikView or Tableau

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Rehan Sheikh Kant Gupta Dec 4, 2014


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Table of Contents

Why to use BI Tools………………………………………………………………………………………………………………………….3

Compare Qlikview and Tableau………………………………………………………………………………………………………..3

Tableau and Features……………………………………………………………………………………………………………………….4 QlikView and Features………………………………………………………………………………………………….………………….5

Conclusion………………………………………………………………………………………………………………………………………..6

Appendices……………………………………………………………………………………………………………………………………….7


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Why to use BI Tools

Business intelligence (BI) is the set of

techniques and tools for the transformation of

raw data into meaningful and useful

information for business analysis purposes. BI

technologies are capable of handling large

amounts of unstructured data to help identify,

develop and otherwise create new strategic

business opportunities. The goal of BI is to

allow for the easy interpretation of these large

volumes of data. Identifying new opportunities

and implementing an effective strategy based

on insights can provide businesses with a

competitive market advantage and long-term stability

BI technologies provide historical, current and

predictive views of business operations.

Common functions of business intelligence

technologies are reporting, online analytical

processing, analytics, data mining, process

mining, complex event processing, business

performance

management, benchmarking, text

mining, predictive analytics and prescriptive analytics.

In a competitive global business environment,

performance-driven executives have seconds

to convince a skeptical audience. A typical

business presentation may combine text,

graphics, animated charts and graphs, and

interactive dashboards to sell its story. Thus,

the “visual elements” of the presentation play

a vital role in adding clarity and

comprehension to complex business messages.

Graphics-enabled presentations are evolving and becoming more robust.

Today’s business presentations often

leverage advanced visualization tools that

make the brilliant stand out of the ordinary.

The modern-day audience is not happy with

just glossy interactive graphics. They want

more graphics that analyze the presented data

and tell a story! So, the graphics-heavy

documents cannot simply contain visual

elements; the graphics must be neatly

integrated to show insights or trends and

patterns that are obviously visible to both the expert and the novice.

Compare QlikView and Tableau

In this context, two visualization tools worth

mentioning are QlikView and Tableau, both of

which have been defined as leaders in Gartner’s 2014 Magic Quadrant.

Both these tools have scaled beyond the

average capabilities of embellishing the text

with glossy, interactive dashboards and ad-hoc reports.

QlikView and Tableau are two leading

products in the field of BI and both provide

excellent conditions for optimal use. We have

made independent comparison to evaluate the

products from the point of view of the

challenges, features and the company's

situation and to make a choice in favor of a more suitable solution for the company.


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Tableau

Tableau is groundbreaking data visualization

software created by Tableau Software

(www.tableausoftware.com) and is a

powerful, flexible application. Tableau

connects easily to nearly any data source, be it

corporate Data Warehouse, Microsoft Excel or

web-based data. It allows for instantaneous

insight by transforming data into visually

appealing, interactive visualizations called

dashboards. This process takes only seconds or

minutes rather than months or years, and is

achieved through the use of an easy to use

drag-and-drop interface. By using Tableau

visualizations, users gain the ability to quickly

answer questions; company data becomes a

competitive advantage instead of an underutilized asset.

Features: The Visualizations are drag and

drop, and have vibrant automatically generated colors. The drag and drop metaphor makes time to answer very fast indeed. In-memory BI platform enables highly scalable and rapid visualizations. Self-service platform has no need to rely on IT to provide data. Multiple data sources can be used for a single sheet. This also has ability to apply filters and date ranges on the fly and support Mac OX10

recently.

The Enterprise Data Warehouse:

Tableau is an interactive analytic application

that has a rich conversation with database.

Tableau flourishes when this database is fast,

large, and has a variety of data subjects stored

in it. Tableau is bound by all the security

constraints defined at the database level,

which helps organizations be sure that access is properly controlled.

Ease of Use: Tableau solves the problem of

understanding the data not just tabulating it

but by providing data visualization and visual

analysis. It gives users flexible, easy ways to

display data in whatever format makes the patterns most visible.

Tableau offers the ability to create different

views of data and change them as needs

evolve. And switching between views is as

easy as a click, so users don’t have to wait on an IT change request to understand data.

Integration: Tableau can be used to access,

visualize and analyze the data with a broad

range of data sources including spreadsheets,

CSV, SQL , Oracle databases, Salesforce,

Cloudera Hadoop, Google Analytics, Google

BigQuery, Hortonworks Hadoop, Tera data.

Data sources allows for an analyst to be active

with the data in a process of asking and

answering questions – naturally taking

advantage of the Active Data Warehouse concepts

Gain Insight: Tableau allows analytical

frameworks to be manipulated. It allows an

analyst to gain insight by changing

perspectives and seeing information as data

are compared differently. Online Data sources

provide the computing capability and

architecture that allows massive amounts of

data or summaries of those data to be

delivered to changing analytic contexts

efficiently. Thus, the analyst does not lose

perspective as they navigates from one

http://www.tableausoftware.com/


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question to the next. Data sources allow data

to be interactively manipulated as Tableau

allows analysts to experiment with analytical frameworks.

Ad-hoc, on-demand, interactive

exploration: A fixed set of data can never

give users the flexibility to ask whichever

questions they need for exploring information,

refining their understanding as they go and

asking further questions. Tableau solve this

problem with ad-hoc, on-demand, interactive

exploration. The data sources can provide the

speed needed for ad hoc, interactive data

exploration while Tableau provides the analytical interface.

Pricing: Free Desktop version called “Public”

that makes data available to all. Private

versions come with fixed fee $999 or $1,999

depending on data access. Tableau Server -

anecdotal evidence says $1k/server user, with

minimum of 10 users plus maintenance.

QlikView

QlikView is the most flexible Business

Intelligence platform for turning data into

knowledge. More than 24,000 organizations

worldwide have enabled their users to easily

consolidate, search, and visually analyze all

their data for unprecedented business

insight. Effective decision-making is based on

having the right information available and easy

accessible with QlikView. It allows business

users to create their own analyses so they can

arrive at innovative decisions. QlikView lets IT

serve the business like never before—all while

assuring strict data security, quality, and

governance.

Features: Visualizations are wizard-driven;

colors have to be selected. In-memory BI

platform provides much faster analysis than

traditional OLAP. Self-service platform - no

need to rely on IT to provide data. Built-in ETL

engine to transform disparate data sets into a

common data structure. Associative inference

engine for uncovering associations in data sets.

Mac not supported for Server, Desktop. Third-

party connector to statistical analysis platform

R available. In-memory analytics dependent on

abundant local memory if speed is to be maintained.

Enterprise Data warehouse: QlikView

is designed to protect organization’s critical

data and analysis assets. QlikView integrates

with existing security infrastructures

specifically designed to safeguard billions of

records or thousands of users. QlikView’s easy-

to-administer security console enables IT to

control which users see which analyses, data,

metrics, and results, define security from the

application level all the way down to granular

row level & support standard directory service

systems such as Microsoft Active Directory and

other LDAP solutions Enforce group, role-based, and individual user

Integration: Qlikview Integrates with a

very broad range of data sources including

Amazon Vectorwise, EC2, and Redshift,

Cloudera Hadoop and Impala, CSV, DatStax,

Epicor Scala, EMC Green Plum, Hortonworks

Hadoop, HP Vertica, IBM DB2 and many more.

QlikView is designed to tightly integrate with

existing security systems and data sources, and

preserve existing investments. This limits risk

and improves the cost effectiveness of

deployments. Rapid yet controlled

development and deployment ensure a fast

time to value under strict, centralized guidelines.


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Target Users: QlikView enables IT

professionals, who desire strong visualization

capabilities with BI reporting tools, to deliver

far more analytics and BI to the business than

with any other approach. With its rapid

application development capability, requests

from the business for new apps can be

answered much more quickly, changes to

existing applications made easily and with its

self-service approach, business users can get

answers to their own questions without

turning back to IT for a new report. This all

contributes to the success of QlikView and

makes IT groups who provide it to an organization true ‘champions to the business.

Empowers Business Users: QlikView

delivers business value immediately because

few new skills are required by analysts and

developers to produce QlikView apps. With

QlikView, IT managers and business analysts

can rapidly create apps that focus on the

analytics that matter most to business users.

And they can quickly extend and enhance

those apps as business needs change.

QlikView’s self-service model also means

ongoing requests for new reports from

business users are dramatically lowered.

QlikView frees up valuable time for IT

managers and their staff so they can focus on

higher-value tasks such as data governance, data quality, data modeling, and data security.

Maximum Scalability: The QlikView

Business Discovery platform provides Support

for thousands of users or billions of records

and automatic load balancing to ensure

maximum performance even with thousands

of users. QlikView has an optimized

architecture that takes full advantage of the

most advanced 64-bit Intel architectures and

seamless integration of 32-bit and 64-bit data

sources. It can do up to 90% data compression

and has Hybrid in-memory and direct data

access capabilities for Big Data analytics. Also

support for the latest in virtualization and

cloud deployment models Resilience, with

built-in failover options

Gain Insight: It Combines visualization with

in-memory BI tool and ETL engine. Easy to

manipulate data from multiple sources on the

fly. With QlikView search, users type relevant

words or phrases in any order and get instant,

associative results. With a global search bar,

users can search across the entire data set.

With search boxes on individual list boxes,

users can confine the search to just that field.

Users can conduct both direct and indirect searches.

Pricing: Each named user license is $1,350

and $15,000 for a concurrent user. Server

license is $35,000/server. Additional

$21,000/server for PDF distribution service;

$22,500 for SAP NetWeaver connector. May

require RAM upgrades if large numbers of concurrent users

Conclusion

With Tableau it’s easy to produce good

visualizations without really knowing what we

want to see at the beginning of developing a

report because it’s so easy to move

components, change the chart type and build

filters. With Qlikview , we need to have a good

idea of what we want to produce before

starting the report and it takes far longer to

build the different components of the report

than Tableau. From an analysis tool

perspective Tableau is far more powerful than

Qlikview . Qlikview can produce better reports

but it takes more skill and time to develop

than with Tableau. If the company has a

structured environment with relatively


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generous deadlines, supported by a good

technical team then Qlikview could be the

correct product for that company as its slightly stronger for reporting.

Appendices:

https://www.trustradius.com/compare-

products/qlikview-vs-tableau-

desktop#Product_usability

http://www.tableausoftware.com/community/support/documentation-old

http://community.qlik.com/docs/DOC-3325

https://apandre.wordpress.com/2011/12/18/dv-comparison-2011/

https://apandre.wordpress.com/tools/compar

ison/

http://reports4u.co.uk/tableau-vs-qlikview/

https://www.trustradius.com/compare-products/qlikview-vs-tableau-desktop#Product_usability





http://community.qlik.com/docs/DOC-3325



https://apandre.wordpress.com/tools/comparison/

https://apandre.wordpress.com/tools/comparison/

qlik view or tableau

Data & Analytics