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Every company is at a different stage in leveraging analytics to improve their operational efficiency and product offerings. In this presentation, you will learn an analytics maturity model that companies can use to determine how far they are from the most successful analytical companies.
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Analytics Maturity ModelJohn A. De Goes
@jdegoes, [email protected]
Agenda
• Preamble
• Dimension 1: Analytical Sophistication
• Dimension 2: Analytical Productization
• Dimension 3: Data Management
• The Analytics Maturity Model
• Limitations of the Model
• Survey
• Summary
Analytics Maturity Model Systematize analytics maturity
Preamble
Analytical Sophistication
•A0: Entity Analytics•A1: Descriptive Analytics•A2: Predictive Analytics•A3: Prescriptive Analytics
Entit
y An
alyt
ics
Des
crip
tive
Anal
ytic
s
Pred
ictiv
e An
alyt
ics
Insight Intelligence{ {
“How many customers do I
have?”
“How many widgets did I sell
last month?”
“Who is going to buy which widget,
and when?”
Pres
crip
tive
Anal
ytic
s
“How can I make prospects buy
widgets?”
Business Intelligence Business Analytics
Analytical Productization
•P0: Standard Interactive Tools•P1: Internal Analytical Apps•P2: External Analytical Apps•P3: Data Products
Stan
dard
Ana
lytic
al T
ools
Inte
rnal
Ana
lytic
al A
pps
Exte
rnal
Ana
lytic
al A
pps
Consumption Productization{ {
• MicroStrategy• Tableau• Cognos• SAS• R
• Field / POS apps• Interactive
dashboards
• Embedded analytics
• Embedded reporting
Dat
a Pr
oduc
ts
• Recommendations• Personalizations• Automated
decision-making
Enablement{
Data Management
•D0: Few Structured Sources•D1: Many Structured Sources•D2: Multi-Structured Sources•D3: Multi-Structured Sources + Metadata
Few
Str
uctu
red
Sour
ces
Man
y St
ruct
ured
Sou
rces
Mul
ti-St
ruct
ured
Sou
rces
Silos Data Management{ {
• Financial• Sales• Marketing
• CRM• Support• Multi-channel• IT• ERP
• Log files• Twitter• Emails• Apps• Clickstream
Mul
ti-St
ruct
ured
Sou
rces
+
Met
adat
a
• Provenance• Quality• Authorship• Ownership• Confidence
Data Integration{
AnalyticalSophistication
AnalyticalProductization
A0
A1
A2
A3
P0 P1 P2 P3
D0 D1 D2 D2
Leaders
Followers
Data Management
Where you should be?
Where you are
Limitations of the Model
Please take 5 - 10 minutes to fill out the following survey:
http://bit.ly/YHs9wm
Survey
Summary• Much written on analytics maturity but few attempts to systematize
results
• Analytics maturity is complicated but 3 dimensions stand out:• Analytical sophistication
• Analytical productization
• Data management
• Model successfully identifies well-recognized analytical leaders as being more mature
• Limitation: model is descriptive, not predictive or prescriptive
• Need to collect much more data to build predictive / prescriptive model