4. Single version of the truth
• The company implemented analytics as a self-serve solution
5. Single version of the truth
• The company implemented analytics as a self-serve solution
• Soon after two managers compare analytics data and their
data does not match
6. Single version of the truth
• The company implemented analytics as a self-serve solution
• Soon after two managers compare analytics data and their
data does not match
• The company decides to create an analytics team to provider
a single version of the truth
9. Internal only
• Early attempts were found as too disconnected from the business
reality to make any significant impact
10. Internal only
• Early attempts were found as too disconnected from the business
reality to make any significant impact
• Analytics vendors made a point that their solutions were easy enough
to operate by internal staff
11. Internal only
• Early attempts were found as too disconnected from the business
reality to make any significant impact
• Analytics vendors made a point that their solutions were easy enough
to operate by internal staff. A dedicated team would become experts
12. Internal only
• Early attempts were found as too disconnected from the business
reality to make any significant impact
• Analytics vendors made a point that their solutions were easy enough
to operate by internal staff. A dedicated team would become experts
• The analytics tool is harder to learn than initially advertised and
requires training
15. External hires
• The team manager has no analytics experience but has been in the
company
16. External hires
• The team manager has no analytics experience but has been in the
company or that field for several years
17. External hires
• The team manager has no analytics experience but has been in the
company or that field for several years
• External hires are
18. External hires
• The team manager has no analytics experience but has been in the
company or that field for several years
• External hires are
• Rare
19. External hires
• The team manager has no analytics experience but has been in the
company or that field for several years
• External hires are
• Rare
• Expensive
20. External hires
• The team manager has no analytics experience but has been in the
company or that field for several years
• External hires are
• Rare
• Expensive
• Hard to retain
26. Internal or External?
• Aligned with the
business goals
• Strong internal network
• Cheaper
• Easier to retain
27. Internal or External?
• Aligned with the
business goals
• Strong internal network
• Cheaper
• Easier to retain
That’s what an Analytics
team from internal
people gives you
28. Internal or External?
• Aligned with the
business goals
• Strong internal network
• Cheaper
• Easier to retain
That’s what an Analytics
team from internal
people gives you
• Data-literate
29. Internal or External?
• Aligned with the
business goals
• Strong internal network
• Cheaper
• Easier to retain
That’s what an Analytics
team from internal
people gives you
• Data-literate
• Data-driven
30. Internal or External?
• Aligned with the
business goals
• Strong internal network
• Cheaper
• Easier to retain
That’s what an Analytics
team from internal
people gives you
• Data-literate
• Data-driven
• Analytics tool experts
31. Internal or External?
• Aligned with the
business goals
• Strong internal network
• Cheaper
• Easier to retain
That’s what an Analytics
team from internal
people gives you
• Data-literate
• Data-driven
• Analytics tool experts
• Objectivity
32. Internal or External?
• Aligned with the
business goals
• Strong internal network
• Cheaper
• Easier to retain
That’s what an Analytics
team from internal
people gives you
• Data-literate
• Data-driven
• Analytics tool experts
• Objectivity
That’s what an Analytics
team from external hires
gives you
36. Both internal and external
• A team of external
experts
• Focused on answering
business questions
37. Both internal and external
• A team of external
experts
• Focused on answering
business questions
• Running tests
38. Both internal and external
• A team of external
experts
• Focused on answering
business questions
• Running tests
• Making
recommendations
39. Both internal and external
• A team of external
experts
• Focused on answering
business questions
• Running tests
• Making
recommendations
That’s the analytics hub
40. Both internal and external
• A team of external
experts
• Focused on answering
business questions
• Running tests
• Making
recommendations
That’s the analytics hub
• Internal people promoted
junior part-time analysts
41. Both internal and external
• A team of external
experts
• Focused on answering
business questions
• Running tests
• Making
recommendations
That’s the analytics hub
• Internal people promoted
junior part-time analysts
• Monitor the metrics
42. Both internal and external
• A team of external
experts
• Focused on answering
business questions
• Running tests
• Making
recommendations
That’s the analytics hub
• Internal people promoted
junior part-time analysts
• Monitor the metrics
• Do the
daily/weekly/monthly
reports
43. Both internal and external
• A team of external
experts
• Focused on answering
business questions
• Running tests
• Making
recommendations
That’s the analytics hub
• Internal people promoted
junior part-time analysts
• Monitor the metrics
• Do the
daily/weekly/monthly
reports
• Soundboard for the hub
44. Both internal and external
• A team of external
experts
• Focused on answering
business questions
• Running tests
• Making
recommendations
That’s the analytics hub
• Internal people promoted
junior part-time analysts
• Monitor the metrics
• Do the
daily/weekly/monthly
reports
• Soundboard for the hub
They are the spokes
47. Guardians of data quality?
• A dedicated analytics team can set automated alerts
48. Guardians of data quality?
• A dedicated analytics team can set automated alerts. Anything
beyond this is neither practical nor realistic
49. Guardians of data quality?
• A dedicated analytics team can set automated alerts. Anything
beyond this is neither practical nor realistic
• With a hub and spoke model, the embedded junior analysts can
monitor the relevant subset of metrics for their team
50. Guardians of data quality?
• A dedicated analytics team can set automated alerts. Anything
beyond this is neither practical nor realistic
• With a hub and spoke model, the embedded junior analysts can
monitor the relevant subset of metrics for their team
A major reporting outage will result in several junior analysts reporting
the outage to the hub
51. Guardians of data quality?
• A dedicated analytics team can set automated alerts. Anything
beyond this is neither practical nor realistic
• With a hub and spoke model, the embedded junior analysts can
monitor the relevant subset of metrics for their team
A major reporting outage will result in several junior analysts reporting
the outage to the hub. They are like canaries in the coalmine for the
hub
55. Rotating
• External hires in the analytics hub lack domain knowledge
• Their recommendations may not align with the business
56. Rotating
• External hires in the analytics hub lack domain knowledge
• Their recommendations may not align with the business
Get the new hires for the analytics hub to spend time in
another team and make them rotate between other teams
59. Skin in the game
• The junior analysts monitor the metrics that impact their team
60. Skin in the game
• The junior analysts monitor the metrics that impact their team, and
inform the hub if they spot any reporting outage or any other issue
61. Skin in the game
• The junior analysts monitor the metrics that impact their team, and
inform the hub if they spot any reporting outage or any other issue
• When the teams realise how much time and little value goes into
their own reporting, they might just become more data-driven
64. Pedalling in row
• Analytics experts are allowed to be data-driven and provide
actionable insight aligned to the business goal
65. Pedalling in row
• Analytics experts are allowed to be data-driven and provide
actionable insight aligned to the business goal
• The teams needing reporting and engaging in data-cherry picking can
use their own resources to do so and perhaps not for much longer
66. Pedalling in row
• Analytics experts are allowed to be data-driven and provide
actionable insight aligned to the business goal
• The teams needing reporting and engaging in data-cherry picking can
use their own resources to do so and perhaps not for much longer
• Data quality improves, reporting outages get caught faster
67. Pedalling in row
• Analytics experts are allowed to be data-driven and provide
actionable insight aligned to the business goal
• The teams needing reporting and engaging in data-cherry picking can
use their own resources to do so and perhaps not for much longer
• Data quality improves, reporting outages get caught faster
• Data literacy improves in the spokes and spread from there