Date Received: November costly to. We have. Dataa Matching

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1 Jordans Dataa Matching Please find enclosed the results of your dataa audit. Your Ref: DATA MATCH Date Received: 15 th November 2013 Thank you for choosing Jordans data matching to clean and enhancee your data. The dataa held on internal databases can decay by more than 40% each year. The success of your marketing activity and communicationss will dependd on good quality data and can prove to be costly to your business if it's inaccurate. We have matched your data against our extensive database of over 6 million livee and dissolved companies in the UK and Republic of Ireland, and have produced thee attached data audit. Next steps? If the enclosed audit has highlighted some areas of concern or identified potential opportunities where you can enhance your data, please contact us on , or complete the attached pick list and return to We will return your original file with the clean data appended so that you can see where we have identified differences. We will also enhancee the data you hold with any a additional fields thatt you have requested; making your data even more powerful and valuablee to your business. Tel: Web: 1

2 Data Audit: Your Results Using a range of criteria, we have matched your data against our comprehensivee database of over 6 million companies and have matched the percentage of companies displayed d below. 12% Matched Unmatched 88% 2

3 Data Audit: Analysis of Results Company Status (This data is available in the company summary data set) The following resultss show the status of the matched companies in your y data portfolio. We have includedd the status definition below but if you have any questions, please p do nott hesitate to ask. 19% 12% 2% Dissolved Insolvent 66% Non Trading/Dormant Adverse Info 1% Live/Trading Dissolved Any companies in here are dissolved (dead) companies. Insolvent/ In Liquidation The companies heree are in some form of Liquidation. Non Trading/ Dormant These are companies that have registered r ass Dormant company or have h used a Non records filed against them, Administration Order, In Administration, Admin/Recei vership, Receivership, Voluntary Arrangement or have recently had an adverse notice advertised in the London/Edinburgh/Belfast gazette. trading/ /Dormant SIC code. Adversee Informationn Filed against the Company The companies in this section have one or more of the following types of adversee Live/Trading These are live companies that do not featuree in any of the 4 categories listed above. 3

4 Company by Size (This data is available in the Financials data set) The following resultss show the size of the matched companies in your data portfolio. 47% 13% 39% Large Small Medium Group Other 1% 0% The size of a company is classified by Companies House and is based on the typee of accountss that are filed by the company. The test is whether the company satisfies twoo out of the three criteria as follows: Full accounts Criteria 1. Turnover greater than 25.9m 2. Balance Sheet total greater than 12.9m 3. Average Number of employees greater than 250 Medium company Criteria 1. Turnover less than 25.9m 2. Balance Sheet total less than 12.9m 3. Average Number of employees less than 250 Filing implications Medium companies do not have to disclose Turnover detailss Small company Criteria 1. Turnover less 6.5m 2. Balance Sheet total less than 3.26m 3. Average Number of employees less than 50 Filing implications The company does not have to file a Profit & Loss Account orr details on the t number of Employees and need only file an abridged set. 4

5 Group These are companies that file group/consolidated accounts. This means that theyy have subsidiary companies and consolidate theirr figures (thee accounts of these subsidiaries) intoo one set of Group accounts. These tend to be the larger companies. Other Any companies who do not file Full, Medium, Small or Group accounts will be in here. These will mainly be very small companies,, those that do not have their accounts audited. 5

6 Standard Industry Classification (SIC) Codes (This data is available in the company summary data set) The matched companies fall into the following SIC Code categories. It is not mandatory for a company to disclose its SIC code so you mayy have Unknown values. This information can be used to be more targeted in your marketing communications. ** unknown ** ACTIVITIES OF EXTRATERRITORIAL ORGANISATIONS AND BODIES ACTIVITIES OF HOUSEHOLDS AS EMPLOYERS; UNDIFFERENTIATED GOODS AND SERVICES PRO DUCING ACTIVITIES OF HOUSEHOLDS FOR OWN USE OTHER O SERVICE ACTIVITIES ARTS, ENTER TAINMENT AND RECREATION HUMAN HEALTH ANDD SOCIAL WORK ACTIVITIES EDUCATION PUBLIC ADMINISTRATION AND DEFENCE; COMPULSORY SOCIAL SECURITY ADMIN ISTRATIVE AND SUPPORT SERVICE ACTIVITIES PROFESSIONAL, SCIENTIFIC AND TECHNICAL ACTIVITIES REAL ESTATE ACTIVITIES FINANCIAL AND INSURANCE ACTIVITIES INFORMATION AND COMMUNICATION ACCO MMODATION AND FOOD SERVICE ACTIVITIES TRANSPORTATION AND STORAGE WHOLESALE AN D RETAIL TRADE; REPAIR OF MOTOR VEHICLES AND MOTORCYCLES CONSTRUCTION WATER SUPPLY, SEWERAGE, WASTE MANAGEMENT AND REMEDIATIO N ACTIVITIES ELECTRICITY, GAS, STEAM AND AIR A CONDITIONING SUPPLY MANUFACTURING MINING AND QUARRYING AGRICULTURE, FORESTRY AND FISHING

7 Ownership (This data is available in the company ownership data set) The following resultss show the type of ownership for the matched companies in your data portfolio. We have included the definitions below. 40% 59% Withh Owner Privately Owned Joint/Other With an Owner These are companies where the majority of the voting shares are owned by another corporate entirety, which may be based here in the UKK or abroad. Privately Owned The Shareholders on these companies can be a mixture of companies and people, but no one company will have more than 50% of the voting shares and therefore exert control over the company. Joint/Other These are joint venture type companies, where one or both of the shareholders own 50% of the share capital and one or both are limited companies. 7

8 Companies by Postal Area (This data is available within the company summary dataa set) The following resultss show the geographical spread of the matched companies c inn your data portfolio. This information may identify regions where you have a strong presence and highlight other regions wheree improvement can be made. 1% 5% 8% 6% ** No Postcode ** East Midlands London 22% 37% North Eastt North West Northern Ireland 8% 5% 6% Scotland South Eastt South West 1% Wales West Midlands 8

9 Credit Risk (This data is available in the RISK data set) We have run the matched companies in your portfolio through our credit c score rating calculator. In determining a score, a number of separatee calculations are performed using various combinations of the key financial items. The score predicts the probability of the company becoming insolvent in the 121 months following the date of calculation. The matched companies have been given the scores as displayed below: 33% High Risk 18% 12% 4% Caution Normal Stable Secure The matched companies have been allocatedd the suggested credit limits which are based on the score calculated by our rating model as displayed in the above chart. 68% 32% 0 1 to 100K 100K to 250K 250K to 750K 750K 1M 9

10 Companies with County Court Judgements ( CCJ s) (This data is available in the CCJ data set) The results below display the percentage of matched companies in your y portfolioo which have had at least one satisfied CCJ in the lastt 12 months.. 1% Without Sat With Sat 99% Matched companies with at least one unsatisfied CCJ in the last 12 months. m 5% 5 Withoutt Unsat With Unsat 95% 10

11 Companies with unsatisfied CCJ s have the following numbers against them: 36% 0% 9% 9 18% 37% 1 Unsat 2 Unsat 3 55 Unsat 6 99 Unsat 10+ Unsat 11

12 Contacts (This data is available in the company contacts data set) Where we have matched companies in your portfolio we have checked our database to find contact details for these companies. The results below show the percentagee of companies where we are able to provide contact details for at least one contact. 5% 95% Without Contacts With Contacts Matched companies in your portfolio with an address for at least one contact. (note this is a percentage of ALL matched companies. It is not in relation to thee previous chart) 35% 65% Without s Withh s 12

13 Contact Types (This data is available in the company contacts data set) Where we have identified contacts we can also supply the job type. The breakdown of job type for available contacts is displayed below and cann help createe more informed and targeted mailing lists. Contacts With Transport Sales Research & Development Property Personnel Operations Non Exec Marketing Risk Health and Safety IT Human Resources General Financial Executive Communications/PR Buyer Admin

14 Trading addresses (This data is available in the Trading Addresses data set) We provide contacts at the companies trading address. The numberss of trading addresses that exist for each of the matched companies in your portfolio are as follows. 26% 3% 7% 9% 55% 1 Trading Address 2 Trading Addresses 3 5 Trading Addresses 6 9 Trading Addresses 10+ Tradi ng Addresses What next? To proceed with the data clean simply s contact us on or We will return your original file with the t clean data appendedd so that we leavee you in control to make an informedd decision about the dataa you would like to keep. If you would like to request additional data, please complete the attached pick list and send to We will contact you to discuss costs with w you so that we can tailor t a solution to suit your budget. 14

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