the science of data quality salesforce user group

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The Science of Data Quality Donato Diorio Founder & CEO Broadlook Technologies www.broadlook.com

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The ideal of perfect data is is something that needs to be understood. Donato presents the underlying factors that data quality depends upon.

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Page 1: The science of data quality   salesforce user group

The  Science  of  Data  Quality

Donato DiorioFounder & CEOBroadlook Technologieswww.broadlook.com

Page 2: The science of data quality   salesforce user group

Collaborative selling

CloudBig data & sales

intelligence

Mobile

Key  trends  in  CRM

Social

Analytics

Metrics/ Dashboards

Empowered Customers

Page 3: The science of data quality   salesforce user group

Everything    depends  upon  

Data

Page 4: The science of data quality   salesforce user group

Data Information Knowledge Process

I  want...More  data(lists)  I  want...  Be3er  selec5on(databases)  

I  want...  More  contacts  per  company(zoom)  I  want...  Fresher  contacts(Jigsaw)  I  want...  More  informa5on(LinkedIn)  I  want...  More  knowledge(many  sources)  

I  want...  More  process  (crm)  I  want...  Sustainable  process

The  Evolu=on  of  Sales  Desire

Page 5: The science of data quality   salesforce user group

Data  decay  metrics

Page 6: The science of data quality   salesforce user group

Data  decay  happens

•Change  in  5tle,  promo5on  •Change  in  working  loca5on  •Change  of  phone  number  •Add  mobile  phone  number  •Change  of  department  •Change  of  area  code  •Change  of  email  format  •Merger  or  acquisi5on

Page 7: The science of data quality   salesforce user group

•Buy  data  from  mul5ple  sources  •Refresh  with  editors    •12  month  cycle  (top  10K  companies)  •12-­‐18  month  (next  40K  companies)  •24  month  cycle  on  the  next  2  million  •Nothing  past  the  top  2  million  •Add  social  data  (good  for  top  10%)  •Add  news  feeds  (good  for  top  5%)  •Mob  source

Data  industry  response

Page 8: The science of data quality   salesforce user group

Data  Quality

Compe==ve  Advantage

=  CRM  Success

X

Giving your CRM data a score

Page 9: The science of data quality   salesforce user group

Points Your scoreFactors 4 3 2 1

Fresh <30  days <60  days <90  days <180  days

Accurate 95% 80%  + 70%  + 60%  +

Multi-­‐venue All available

Basic  +  2  social

Basic  +  1  social

Basic(email+phone)

Built  fast <14  days <60  days <90  days <180  days

Normalized Enforced Plan  +  culture Has  plan no

Scored Customrules

Accessible  rules

white  box  scoring

black  box  scoring

Total data quality score:

CRM  Data  Quality

Page 10: The science of data quality   salesforce user group

Points Your scoreFactors 4 3 2 1

Targeted target  by  self  description hand  built keywords SIC  code

Custom built  on-­‐demand

mashed  from  many  sources

pulled  from  larger  sample

Complete 95%+ 80% 60% 40%

Exclusive no  competitors limited  access anyone  can  

buy  access free

Transparent Sources  transparent

sources  known

sources  available

     Verified By  a  person Marke5ngautoma5on email

Total competitive advantage score:

CRM  Compe==ve  Advantage

Page 11: The science of data quality   salesforce user group

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0 12 24

Data  Quality

Compe

==ve  Advan

tage

Where  is  your  CRM  data?

Page 12: The science of data quality   salesforce user group

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24

0 12 24

Quadrant  Key

Data  Quality

Compe

==ve  Advan

tage

Qualita5ve  /!Event  driven

Influence

Quan5ta5ve/!commodity

Cold  Call

new!CRM!lead

Quan5ta5ve  /!Cyclic

Warm  call

Qualita5ve!Cyclic

Rela5onship

CRM+90  days

CRM+180  days

CRM+  360  days

 Data  Quality  &  Compe==ve  Advantage

marketi

ng au

tomati

on

Page 13: The science of data quality   salesforce user group

“I want my list built on-demand, generated based on how companies describe themselves. It needs to be 95% inclusive of my target market. I want 3 points of contact for each company, multiple ways like email and social networks to reach out them and you can’t sell this list to anyone else”

A  data  experts’  advice...

Page 14: The science of data quality   salesforce user group

CONNECT with Donato

Email: [email protected] Twitter: @iDonato LinkedIn: linkedIN.com/in/donatodiorio Blog: www.iDonato.com

www.broadlook.com