Transcript Exploring Business Intelligence Tools

GROUP
EXPLORING
BUSINESS INTELLIGENCE
TOOLS
Rama Catur
Goeij Yong Sun
Arief Rakhman
GROUP
4 TECHNOLOGIES
THAT ARE RESHAPING
BUSINESS INTELLIGENCE
Arief Rakhman
BEFORE WE START..
In this assignment, we try to find interesting
development for Business Intelligence tools
from www.intelligententerprise.com.
 Article: 4 Technologies That Are Reshaping
Business Intelligence
 Based on the article, the next-generation BI is
being formed by predictive analytics, real-time
monitoring, in-memory processing, and SaaS.
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PREDICTIVE ANALYTICS
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SAP BusinessObjects Predictive Workbench, helps the
organization reach its goals using predictive analytics.
It can uncover trends and patterns to solve business
problems, anticipate business changes, and gain insight
using this powerful predictive analytics solution.
SAP BusinessObjects Predictive Workbench works with the
existing data environment and allows for efficient discovery
of interesting and predictive findings.
PREDICTIVE ANALYTICS (2)
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IBM Cognos 8 BI, delivers BI capabilities on a single service-oriented
architecture (SOA).
Cognos provide the capabilities and information we need to make better
decisions.
We can use reports, analysis, dashboards and scorecards to monitor
business performance, analyze trends and measure results.
Its key features are:
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Build reports, OLAP cubes, dashboards and scorecards using all data
sources.
Proven scalability to hundreds of thousands of users.
Modular deployment lets you meet immediate user needs and expand or
modify as needed.
REAL TIME MONITORING AND ANALYZING

“Real time” today doesn’t mean subsecond or
even subminute response.
 BI
vendors have techniques to have a trick with the
queries and data captures to get conventional data
warehouse faster.
 Sometime it works, but it may be more troublesome
and more expensive than other alternatives.
REAL TIME MONITORING AND ANALYZING (2)
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Now the real real-time techniques will adopt stream
processing technologies.
It includes low-latency BI, faster business activity
monitoring, and ultra-low-latency complex event
processing.
The real time systems enable a spontaneous action the
users can take to respond an event. It will also have
some automated response system ready.
Low latency allows human-unnoticeable delays between
an input being processed and the corresponding output
providing real time characteristics. (Wikipedia)
GROUP
IN-MEMORY
PROCESSING
TECHNOLOGIES
Rama Catur
IN-MEMORY PROCESSING
The third element poised to change BI is the
much faster analysis that's possible using inmemory calculations.
 In-memory tools can quickly slice and dice large
data sets without resorting to summarized
data, pre-built cubes, or IT-intensive database
tuning.
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IN-MEMORY PROCESSING
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Products such as Spotfire (acquired by Tibco),
Applix TM1 (acquired by IBM, now IBM Cognos
TM1), and QlikTech were pioneers in the
category, and in recent months more vendors
have joined the in-memory ranks, or laid out
plans to do so.
TIBCO SPOTFIRE

The TIBCO Spotfire
Enterprise
Analytics platform
offers a radically
faster business
intelligence
experience and is
far more
adaptable to
specific industry
and business
challenges than
traditional
alternatives.
APPLIX TM1

Applix's TM1 is a complete performance
management application, delivering strategic
business planning, budgeting, reporting and
analytics for powering analysis of financial,
operational, sales, employee and other
business data.
DEVELOPMENT OF IN-MEMORY
The power and appeal of in-memory products
have grown in recent years as multicore,
multithreaded, and 64-bit server technologies
have become more commonplace and
affordable.
 These hardware advances enable in-memory
products to analyze the equivalent of multiple
data marts or even small data warehouses in
RAM.
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DEVELOPMENT OF IN-MEMORY
The technology also eliminates, or at least
minimizes, the need for extensive data prep
and performance tuning by IT.
 For end users, that means faster self-service BI
without waiting in the IT queue.

GROUP
SAAS
SOFTWARE
AS A SERVICE
Goeij Yong Sun
INTRODUCTION OF SAAS
Software as a Service (SaaS, typically
pronounced 'sass') is a model of software
deployment whereby a provider licenses an
application to customers for use as a service
on demand. (wikipedia)
 Solution of BI in fast, flexible, and affordable
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SAAS STUDY CASE
VICOR
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Electronics manufacturer Vicor make a big decision
about minimize time to process budgeting from five
months into eight weeks by replacing spreadsheet
budgeting with use of Saas
SaaS vendor Adaptive Planning customized a data
model and made an online performance management
application accessible to 65 employees across the
United States, Japan, and various regional sales
offices
Employees were able to enter, review, and approve the
2008 budget within six weeks
SHAKLEE
Ken Harris, The CIO of health and beauty products
maker Shaklee taps SaaS wherever he can stretch
his small IT staff and budget--RightNow for CRM,
Omniture for Web analytics, and PivotLink for BI
 The company uploads its sales and financial data
into a PivotLink-hosted data warehouse each
night, and employees use Web-accessible report
and query tools to evaluate sales, marketing
campaigns, and financial performance.
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CONCLUSION
SaaS presented as a solution of an expensive BI
nowdays
 It offers a very simple, fast, and affordable solution
for firm, especially for small and mid firms, for
implementation BI in a simple workflow with data
model that every firms needs
 With fast, flexible, and affordable -- three words
never used to describe a major business
intelligence deployment, Saas try to makes its
mark in business Intelligence.
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BEFORE WE FINISH..
Thank you + Sorry
REFERENCES
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4 Technologies That Are Reshaping Business Intelligence
www.intelligententerprise.com/showArticle.jhtml?articleID=2
19500509
SAP Businessobjects BI Solutions – Advanced Analytics
www.sap.com/solutions/sapbusinessobjects/large/busines
s-intelligence/advanced-analytics/index.epx
Cognos 8 Business Intelligence – Analysis
www-01.ibm.com/software/data/cognos/products/cognos8-business-intelligence/analysis.html
www.insurance.com/
www.ups.com/
id.wikipedia.org/wiki/SaaS