2012Get a “Data Verified and Validated” Stamp Think Green, Think                           Rely on Relevant               ...
Data Verification and Validation | February 2012Table of ContentsINTRODUCTION……………………………………………………………………………………………………………………....
Data Verification and Validation | February 2012     Is data driving your dynamic business environment?     Is accurate da...
Data Verification and Validation | February 2012            How Accurate Data Accelerates Business ProcessesWhy Data Verif...
Data Verification and Validation | February 2012                           Other Reasons for B2B Data Decay (Yearly)      ...
Data Verification and Validation | February 2012DATA LAUNDERING MECHANISM                                   Clean Up Clutt...
Data Verification and Validation | February 2012Verification and validation applied in combination provides for quality as...
Data Verification and Validation | February 2012CLOUD BASED DATA VERIFICATION                           Revolutionalize yo...
Data Verification and Validation | February 2012The way forward is to integrate data quality management into business proc...
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Data Verification

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Gain an overview of data verification and validation, the methods and techniques used to keep data clean as well as new business practices in the industry that help in maintaining data quality and preventing data decay.

Adopt new approaches of “Think Blue” and “Think Green”, in order to create a pollution free virtual environment.

Check out more - http://www.infocheckpoint.com/Images/pdf/Expand-your-Enterprise-Exponentially-whitepaper.pdf

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Data Verification

  1. 1. 2012Get a “Data Verified and Validated” Stamp Think Green, Think Rely on Relevant Take Data Quality to Blue’, Make the Data! Refresh, the Next Level, Data Internet Highway Revamp and Verification via the Devoid of Data Revitalize your Cloud! Junkyards! Database! Expand Your Enterprise Exponentially!
  2. 2. Data Verification and Validation | February 2012Table of ContentsINTRODUCTION……………………………………………………………………………………………………………………..….1 Why Data Verification and Validation is Important……………………………………………..……………….3DATA VERIFICATION AND VALIDATION DEFINED ……………………………………………..……………………..4DATA LAUNDERING MECHANISM ……………………………………………………………………………………………………..5NEW BUSINESS PRACTICES ..................................................................................................................... 4CLOUD BASED DATA VERIFICATION ...................................................................................................... 8CONCLUSION ............................................................................................................................................. 9SUMMARYThis whitepaper aims to provide enterprises with an overview of data verification andvalidation, the methods and techniques used to keep data clean as well as new businesspractices in the industry that help in maintaining data quality and preventing data decay. It alsoaims to encourage enterprises to extend new approaches of “Think Blue” and “Think Green”, inorder to create a pollution free virtual environment. 2|Page
  3. 3. Data Verification and Validation | February 2012 Is data driving your dynamic business environment? Is accurate data important in business decision making? Is verified data relevant if valid? Is validated data relevant if accurate?If your answer is yes to the questions above, you will definitely understand the basis of whydata verification and validation is considered two sides of the same coin.While new age concepts of ‘Think Green’ and ‘Think Blue’ are focused on conserving and‘cleaning’ the environment, a similar drive on the Internet needs to be explored to obliteratedata dumps and create a pollution free virtual space.INTRODUCTION Verification + Validation = ValuableData is the heart of every organization and is an integral aspect in enabling decision making.The importance of accurate data is explicit in the fact that strategies devised based on incorrectdata indefinitely leads to inconsistent decision making. If data sustains the life of enterprises,accuracy drives processes and strategies in the right direction.Accurate and updated data is vital for organizations across industries and relevant to businessdevelopers, sales professionals, marketers, market researchers, recruiters and enterprises;whether it is required to find updated and targeted sales leads for your team, or to increase ROIfrom marketing investments or to screen verified candidates while headhunting.The need for data quality has rapidly increased however not many people or enterprises knowhow to obtain or maintain quality data. As per Google search statistics, there are 135,000searches every month globally for the term “data quality”, however there are only 2,900searches for the term “data quality tools". That is only 2 percent!There are advanced processes and technologies in place, although enterprises usually do nothave the time and resources to implement them and therefore prefer data maintenance andmanagement through experts from data service companies. Back to Index 3|Page
  4. 4. Data Verification and Validation | February 2012 How Accurate Data Accelerates Business ProcessesWhy Data Verification and Validation is ImportantB2B data is integral to enterprises and it not only should be accurate but updated too. Whenwas the last time your database was updated? Did you know that in a year almost 25% of yourdata goes stale? According to MarketingSherpa, an average of 2.1% of contact details changeevery month!To gain a better understanding on the extent to which data decays, the seminar presented byJohn M. Coe, President and Founder of The Sales and Marketing Institute on ‘B2B Data Decay –The Untold Story’, provides many insights. Contact B2B Data Decay (Yearly) 42.9 Change in Job Function 41.9 Change in Phone Number 65.8 Change in Address 37.3 Change in Email Address 3.8 34.2 Change in Company Name Change in Name Back to Index 4|Page
  5. 5. Data Verification and Validation | February 2012 Other Reasons for B2B Data Decay (Yearly) 29.6 Change in position of individuals within Companies Change in Jobs by Individuals 41.2 12.3 Change in Location of the Company 4.6 Change in Company Name (eg. Merger)While these numbers indicate a high percentage of changes in data on a yearly basis, it alsopoints to the fact that either you have updated data or not have data at all. To emphasize theimportance of accurate and relevant data, consider this, with B2B databases decaying around30 percent every year, you will technically be spending a third of annual sales and marketingbudget on nothing but dead information!DATA VERIFICATION AND VALIDATION DEFINED Verification is Valid when Validation is Verified!A basic definition of data verification is a process that ensures that data is correct and errorfree. The data verification process is entirely factual and does not focus on the significance ofthe result. This is where data validation is important, which is a process that ensures data islogical and reasonable.For instance, if you need to identify key business contacts in the automotive industry based inDetroit, a relevant search result will provide details of Managers, D (Director) Level, V (VicePresident) Level and C (CEO) Level contacts located in Detroit in the automotive industry.However, if the data is not verified and validated, you will find results of key business people inthe automotive industry located in Washington or contacts based in Detroit from a differentindustry. Back to Index 5|Page
  6. 6. Data Verification and Validation | February 2012DATA LAUNDERING MECHANISM Clean Up Clutter, Make Space For Data that Counts!Verification is conducted to ensure data entered is true to the original source. Some of themethods used include:- Proof Reading – data is checked by manually comparing it with the original document. Double Entry Checks – where data is reentered and the two copies are compared for discrepancies. Other methods also include phone and email verification.While manual methods may be time consuming and expensive, new software technologieshave been developed to automate the data verification process, proving to be cost effective aswell as faster.Validation is conducted to qualify the logic of the content within a reasonable framework orparameters. It is a process that is computer generated using codes to validate a range of data.Some of the validation codes or checks commonly used are:- Validation Code Function Examples of Usage / Check Searches for spelling errors through a Spell Check When word processing search from the dictionary Checks that the data is within a certain When a password needs to be of a Length Check number of characters particular length Checks if the data is entered in the right When bank account numbers or Format Check format insurance numbers are entered Presence Check Checks that key fields have data entered When certain fields are mandatory There are only 24 hours in a day and 7 Lookup Check Checks for acceptable or logical values days in a week Checks for values that need to be entered Specific parameters within which data Range Check within a certain range needs to be entered. Back to Index 6|Page
  7. 7. Data Verification and Validation | February 2012Verification and validation applied in combination provides for quality assurance and is highlyrecommended for any enterprise or professional utilizing data to make decisions or developstrategies.NEW BUSINESS PRACTICESCrowdsourcingCrowdsourcing is a community driven concept wherein data is contributed by users. Variousgroups and people provide information such as email addresses, phone numbers and socialmedia profiles. This source provides unlimited amount of data and information, making itpossible build databases that could effectively utilized.From ‘Crowdsourcing’ to ‘Changesourcing’While crowdsourcing is the way to go currently, data service companies are taking it a stepfurther with a new approach of ‘changesourcing’. Users are not only encouraged to contributeinformation, they are also urged to constantly update the information provided. Utilizing thecommunity-driven concept of contribution, this approach includes updating information aswell.Why Download when you can ViewIn lines with being conscious of the conservation of the virtual space environment, sometimes itis unnecessary to download an entire dataset. Why clutter you disk space with data that willnever be used?Data service companies are providing the option where users can view some of the contactsbefore downloading a whole dataset. This makes it easier for the user in saving time andresources on downloading and browsing through entire database that may not have beenrelevant in the first place. Back to Index 7|Page
  8. 8. Data Verification and Validation | February 2012CLOUD BASED DATA VERIFICATION Revolutionalize your Approach to Data Management, Cleanse Data in The Cloud!The Internet provides a seamless environment for exchange of services and resources beyondboundaries. Then why should data quality management limit itself? Joining the band wagon ofcloud computing, data quality service companies in addition to the traditional on-premisemanagement are moving further to offer verification through the cloud.If you are wondering, what is the meaning of this much spoken of ‘cloud’? The cloud basicallyacts as a metered service on the Internet, where computing is provided more as a service thanas a product. It is a network space (such as the Internet), wherein computers and other devicescan utilize software, information and shared resources, offered as a metered service. Thedynamic nature of this data center environment enables data service companies provide notonly on-premise data quality management, but cloud-based verification as well.Currently, verification is the only kind of data service offered in the cloud, wherein verificationof names, addresses, phone number and checks with the do-not-call registry is provided. Dataservice companies are in the process of integrating cloud based verification systems and arelooking beyond only data verification in the cloud. The cloud based approach to datamanagement is definitely a huge benefit to enterprises and management of CRM Systems. Thecloud being a vast repository of information, the next step would be integrating information onthe cloud into business processes.CONCLUSION Transform Data to Insightful InformationAs Data is an integral part of any business process for all enterprises and professionals, qualityshould be of highest priority; quality in terms of data accuracy, relevancy and being up-to-date.Data needs to be collected, compiled, organized and maintained in a way that it provideinsightful information. New processes and technologies have been developed to maintain‘clean and green’ databases, one which has data that is accurate as well updated. Back to Index 8|Page
  9. 9. Data Verification and Validation | February 2012The way forward is to integrate data quality management into business processes andenterprises.Data dumps need to be deleted,Data decay needs to be obliterated,Data quality needs to be nurtured,For a cleaner, pollution free virtual space environment!ABOUT INFO CHECKPOINTInfo CheckPoint is a preferred provider of credible business to business (B2B) information, databasemanagement, and marketing and sales solutions. The company manages, maintains and monitors anextensive database of people, companies and industries. The database contains over 15 million people,2 million companies in 80,000 industry sectors. Business information that is archived through crowdsourcing is converted to high quality, verified, accurate and relevant data. With an objective to enablecustomizable prospecting and speed in decision making, Info CheckPoint also facilitates companies aligntheir marketing and sales strategies through B2B intelligent data techniques.Contact InformationPhone: 800-662-2980Email: support@infocheckpoint.comwww.infocheckpoint.com 9|Page

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