The Future of Software Development - Devin AI Innovative Approach.pdf
E outsource asia 2010
1. Precision Data Quality,
Leading the Journey
“Poor quality data costs US businesses an estimated
$600 billion a year.”
The Data Warehousing Institute (TDWI)
“High quality, well-integrated customer data is the
cornerstone of a successful CRM effort.”
Gartner Group
“… eliminating inefficiencies associated with using the
wrong data, and more effective risk management
through aggregation of correct data.”
Bank Negara of Malaysia
“Quality is free, but it is not a gift!”
Phil Crosby
2. INDUSTRY DILEMMA
Information Technology executives have been under This is a wake-up call for IT executives to deliver data
constant challenges to deliver despite under tight IT quality initiatives - when applied systematically across
budget. Leveraging on existing assets has become one the enterprise, data quality can build a solid foundation
of the common directives - heavy IT investments must for fact-based, analytical decision making that can help
bring back values to the organization bottom line! organizations strategize with confidence and capitalize
Among the systems under close radar are operational on lucrative business opportunities.
systems such as ERP, CRM, and Data Warehousing, as
well as the structured and unstructured enterprise data Urgent need for data quality initiatives is clearly
from many different channels such as emails, web sites, recognized by IT executives. In a survey by IDC
call centers and collaborative tools. (International Data Corp) and sponsored by SAS®, a
leader in business analytics, IT respondents were asked
Billions of dollars are lost due to errors or makeshift to rate challenges when implementing business
efforts made necessary by poor data quality in analytics software - and the top three responses were,
enterprise data storage. For example, a simple merger • difficulty of integrating data from multiple source
between 2 client data stores may end up introducing systems
duplicate clients, making different Sales Agents having • the quality of the data itself
to visit the same client over and over again! Data • issues when attempting to integrate analytics with
Quality initiatives serve to address this challenge. It enterprise applications
provides the opportunity to streamline operating
processes, hence reducing operation costs, while In IDC report, the proposed solution is, “to implement a
driving revenue growth. flexible and straightforward business analytics
framework that begins with data integration and data
Reaching out to potential market, given poor quality quality”. The end in mind is to enable business
data in organization, can any campaign based on it, executives to access “the right information at the right
likely to achieve the expected revenue lift? time for fact-based decisions at every level of the
enterprise”.
INDUSTRY DILEMMA
3. OUR PROFILE
Who Are We?
E-Outsource Asia is a Malaysian IT Consulting and
Outsourcing company providing Enterprise Solutions
services to local and multinational customers
What Do We Do ?
We provide Business Process Consulting services,
Enterprise Solutions Design and Delivery, and
Outsourcing Services
We provide Outsourcing Services for clients who want
to leverage on our Outsourcing Competency Center to
assist in configuration, development, testing or support
services based on a offsite or offshore model
Why Us?
We have a proven track record of delivery capability
and quality people to get the job done successfully
We have been delivering the results for our
distinguished customers for the past 15 years
We are professional and flexible in our dealings with our
customers to achieve mutually beneficial partnerships
OUR PROFILE
4. BUSINESS ISSUES
360 DEGREES OPERATIONAL DELAY
Who are my customers? Where are my customers? How much time is needed to identify duplicate records?
Databases usually appear to be highly polluted. The And how reliable is the duplicate list? How about
reason is, incorrectly entered, misspelled, or reconciling the data back to source systems? These
misrepresented data are not easily detected in an business questions often time leads to project over-
automated system. Data Quality Solution applies human runs, in terms of time, resources, and even quality of
reasoning and knowledge in order to obtain a single delivery! E-Outsource Asia has experienced long enough
customer view. to understand that manual traditional eyeballing-
intensive practices, simply requires a more efficient way
CROSS-SELLING of handling.
Who are our potential clients? Where are they located?
Can we tap from another data store to cross-sell our FRAUD PREVENTION
product? In addition to prospects for attracting new Is there a fraud data within the database? How to
customers, existing customer base contains a wealth of exhaustively identify the fraud list? Is there a way to
cross-selling opportunities! Many opportunities can smart-scan the database for fraud potentials? How to
lighten up if only the data is kept in good condition, or if match records for black-list? Data Quality Solution
we know how to handle the various forms of data wears the hat of Sherlock Holmes to not only identify
structures, each with their own challenges. the fraud records, but to also uncover new potential of
frauds.
COMPLIANCE
Is the organization in compliance? Is there a standard
template for businesses to check on their Data Quality
score, hence complying to standards set by regulators?
Data Quality Solution provides the answer.
BUSINESS ISSUES
5. KEY BENEFITS
RAISES THE COMPANY VALUE AND IMAGE REDUCES COST
Good quality data can be a mirror-portrayal of the Defective data leads to higher operating cost. Mail
company. A company which consistently providing less- return due to invalid address costs considerable amount
quality data to their customers, can be perceived as of postage fee, as well as staffs’ time and effort doing
being insensitive and ignorance towards their own mail re-processing, if necessary. And duplicate mailing
customers. Even a mere name misspell, consistently, to the same customer address simply amplifies the cost!
may resonate the same perception towards the And more damaging is when mail recall has to be made
company, “if they cant spell my name right, can they upon incorrect data being sent out to customers. Not
handle my financial needs?”. E-Outsource Asia guards only the company credibility is at stake, the whole
against these pitfalls, hence partners with Data Quality recovery process will incur dollars to the company. E-
principals to ensure good quality data at source Outsource Asia understand the risk factors, hence work
systems. closely with Data Quality principals in mitigating the
risk.
RAISES REVENUES VIA CUSTOMERS PROFILING
Knowing our potential customers is one pillar to KEEPING THE CxO OUT OF PRISON
business success. Customer intimacy means we know Sarbanes-Oxley Act of 2002 has established new or
the customers well enough, in terms of their profile, enhanced standards for all U.S. public company boards,
demographic information, spending pattern, etc. management, and public accounting firms. Locally, Bank
Though there are many sources for such information, Negara has laid out a Data Quality guidelines in 2008,
maintaining the information to be most reliable, and for all Financial Institutions to beef up their data
most accurate, are critical so that businesses can target governance, data security, as well as data quality. E-
the right source of potential revenue leads. Similarly Outsource Asia has experienced participating in the
important, is to ensure the recentness of data, so that efforts, and has established Data Quality template
businesses do not end up looking at the “potential-of- scorecard for the FI’s in Malaysia.
past”. E-Outsource Asia, together with solution
partners, strives to integrate the disparate information
together, giving a single view of the customers data.
KEY BENEFITS
6. PRODUCT OVERVIEW
We use world leading Data Quality softwares to help Data Profiling
our clients get the best out of their data. One of the Data profiling gives organizations a better
leading softwares is SAS Data Quality Solution, which understanding of data quality issues that exist within
provides a complete set of data quality tools and easy- data structure, contents and relationships and enables
to-use interfaces designed to meet the needs of both better planning and project execution. SAS Data Quality
business and technical users. The tools include the Solution provides the ability to profile and assess the
ability to profile data to uncover data discrepancies and quality of data across the enterprise. A robust
determine the effort required to rectify them, an easy- environment analyzes data across the enterprise to
to-use interface for defining business rules, and a determine nuances and discrepancies. An easy-to-use
platform-independent server environment to execute interface and an interactive reporting mechanism
the rules on data from any platform in any format. makes it easy to determine areas of poor data quality
and the amount of effort required to rectify them.
When poor data quality is
identified, the solution
provides the ability to
cleanse and augment
that data to ensure
consistency and
accuracy. By providing
the ability to customize
the algorithms used to
parse and cleanse data
based on language-specific
constructs or individual user
requirements, SAS Data Quality
Solution addresses the needs of each customer
and extends the values of any strategic solution.
PRODUCT OVERVIEW
7. Cleansing and Standardization Identification Analysis
Easy-to-use tools enable data stewards, business users This capability determines the gender and race of an
and technical users to analyze and prototype data individual, which may be helpful in segmenting and data
quality cleansing processes, and apply corrections to for targeted marketing purposes. It can also determine
improve the accuracy of analysis. You can parse data whether a value is for a person or an organization,
values (ie name parts, address parts, email addresses, which could be used to determine the type of services
and any free-form text values), apply address to offer when a call is placed to customer service. The
standardizations, and validate address data based on algorithms have been extended to also identify
local standards. significant pieces of contact info, eg name , address,
city, state, IC number, account number, date of birth
Matching and Deduplication etc.
Matching algorithms can join dissimilar data from
multiple sources using algorithms that include heuristics Customization
and multinational data phonetics. This helps eliminate Personalizing or customizing the parsing, matching,
guesswork when complete matches are not possible standardization, and identification algorithms and rules
and creates a consistent view of information. Unique provides the ability to control the data quality process
key values are created with fuzzy logic to group based on an individual organization's business
together information with similar values (eg Mohd, requirements. For example, rules can be enhanced or
Mohamad, Mohammed) across one field or multiple created to control how product codes, quantities, and
fields. You can remove and merge duplicate values in other characteristics are parsed from a string of data. A
data to significantly reduce storage requirements and common Quality Knowledge Base lets you share this
provide consistent information across data sources. information as well as leverage language-specific
algorithms between server and client components.
PRODUCT OVERVIEW
8. THE POWER OF KNOWLEDGE
With wealth of experiences handling regional data set, Intelligent interpretation uses knowledge dictionaries
E-Outsource Asia realizes the importance of embedding containing all possible elements that can
local knowledge to data quality processing. There are a appear in names and addresses, be it on company
number of data quality tools in the global arena, each names or person names. Configurable weightage is
claim for their prowess in data profiling, duplicate given to each determining attributes based on the client
matching, data reconciling, etc. The perceived confidence to their data set. Example, a person name
technological gap between the tools have been interpretation for Race and Gender, may be 60%
shrinking upon time, the key difference is the tools’ subjected to its name value, 30% to its updated IC
ability to incorporate local knowledge base, and E- number, 10% to its Salutation. Within the name value
Outsource Asia offers the difference, thanks to its interpretation, further weightage is configured for the
intensive research and development. different name parts, be it first name, last name, middle
name, other name, etc. This interpretation engine
E-Outsource Asia investment on local knowledge have contains all possible meanings of various element-
led to the development of, among others, an intelligent specific attributes, such as abbreviations, or acronyms
interpretation of data. How can we know that “Astro” in use. In achieving this feat, E-Outsource Asia has
and “Measat Broadcast Network Systems” are probably analyzed ~11 million different unique names locally, and
different names for the same company? How can we plot them out based on statistical and probability
possibly know that a name field with free-text value of theorems.
“Farlisa Azlan” is most likely a female gender? And most
likely a Malay ethnic? How can we know that a given IC E-Outsource Asia has experienced handling not only the
number may not be the correct number for the named names-intensive interpretation, but also other local
person? Humans may be able to make some distinction knowledge like addresses. By doing all these, we have
in a split second, but mere technology based on provided significant values to business practices in
mathematical logic may have limitation. Malaysia. And the fact that SAS Data Quality Solution
supports the integration of local knowledge, this has
further ensure that our clients are assured with
exceptional level of data quality.
THE POWER OF KNOWLEDGE
9. OUR SERVICES
E-Outsource Asia Data Quality Services Team comes
with a comprehensive portfolio of services to support
you in :
Data Quality Audit
Data Cleansing via “Bureau Services“
Data Profiling, Structuring Analysis
Business Deviation / Fraud detection
Automatic Prevention of Data Contaminations
Reference Databases for Local Names, Addresses,
O&G Products
Geocoding for addresses into graphical patterns
(add-on functionality)
OUR SERVICES
10. Precision Data Quality, Leading the Journey
For more information, contact
• Steven Lim (steven.lim@e-oasia.com) +6016-332-5655
• Azlan Zainal (azlan.zainal@e-oasia.com) +6012-346-8510
No. 20-2 & 20-3, Jalan PJU 5/21,
Pusat Perdagangan Kota Damansara,
Kota Damansara PJU 5,
47801 Petaling Jaya, Selangor,
Malaysia
Phone : +603-6142-7026
Fax : +603-6142-7027
Web : www.e-oasia.com