turning relationship intelligence into profit swiftly improving data quality using groupit with...

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turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

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Page 1: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

Swiftly improving data qualityUsing GroupIT with InterAction

Page 2: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

Christopher YoungHarborough House Consulting

Business development professional; formerly: – Simmons Simmons: Head of BD,

InterAction implementation, integration etc.

– Tikit: large IA implementations with the likes of Ashurst, Burges Salmon, Mayer Brown

Currently consulting to firms on exploiting the tools.– Key Client Management– Administering IA for a large firm

Helen Belcher and Steve O’HehirAurum Solutions Limited

Technical (IT) and Accounting backgrounds.

Former Development and Sales Managers Accurate Software.

Twelve years experience of data matching/cleansing.

Currently principals of Aurum Solutions.

Market GroupIT data matching and cleansing package.

GroupIT also used for bank reconciliation in the legal sector.

© Harborough House Consulting Limited, 2009

Who are we?

Page 3: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

Who is confident in their data quality?

Who thinks that the InterAction tools are adequate?

Who struggles with international data?

Who would like a tool to make cleansing the data quicker and easier?

Questions

Page 4: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

Data Quality: The Issues…well some of them

The IA Data Quality Tools are cumbersome:

There is no easy way of checking the validity of certain data Countries

There is no way of checking the relationship between two fields: Postcode and Post town

There is no way of reformatting data to a standard Telephone numbers

© Harborough House Consulting Limited, 2009

Page 5: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

Overall– 7,000 invalid Countries– 105,000 invalid Cities

People– Countries - Invalid for people:  729 (4.4%)– Cities - Invalid for people:

2,924/16,059 (18.2%)– First Names - Invalid for People:  153/16,597

(1%) Companies

– Countries - Invalid for Companies: 6,265/726,868 (0.9%)

– Cities - Invalid for companies:  102,150/1,375,734 (7.4%)

Just an example…  United Kingdom 450,333U.K. 2,583UK 93Scotland 74England 62Wales 20

Amsterdam 137Amstelveen 3Amsterdam Z.O. 3NL-1008 BD Amsterdam 3Amsterdam Zuidoost 2AB Amsterdam 1AG Amsterdam 1Amstredam 1EA Amsterdam 1ED Amsterdam 1JC Amsterdam 1MG Amsterdam 1NL 3000 AS Amsterdam 1

How bad can it get? One large firm…

Page 6: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

Reference data can be internal or external– Internal could be other databases

• e.g. PMS– External could be

• Postcodes & towns• Dialling codes

Data leaves IA for very short space of time– Little need to manage delta changes

GroupIT and InterAction

InterAction

GroupIT

Ref Data Ref Data

Page 7: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

Software Demonstration

Page 8: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

Data Cleansing is too time consuming– This tool should accelerate the speed with which you can cleanse it

……. so you can do more valuable stuff.– Reference data is externally maintained

……. so you don’t have to.

To conclude:

Currently:• Post Towns from Postcodes (UK)• Phone Numbers (UK)• First Names• Electronic Domains

Extensions:• Addresses (EU & G8) • Additional Information Fields

- Gender on title/names- Functional role on job title- etc...etc

Data sets covered:

Page 9: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

The ways of getting hold of GroupIT

Licence purchase (stand alone)

Licence purchase with reference tables

Bureau cleansing service

Page 10: Turning relationship intelligence into profit Swiftly improving data quality Using GroupIT with InterAction

turning relationship intelligence into profit

?Christopher YoungTel: 07979 707991Email: [email protected]

Questions and Next Actions

Aurum Solutions Limited61 Windmill AvenueWOKINGHAMRG41 3XA

Harborough House ConsultingHarborough HouseLittle OxendonMARKET HARBOROUGHLE16 9SW

Steve O’HehirTel: 07825 069196Email: [email protected]