On 29 November 2016, Paul Fedor, Director, HR & Service Centre Metrics & Analytics, Northrop Grumman Enterprise Shared Services delivered a great web cast on "Essentials to Advancing Analytics Capability." Simply click through the slides here for a quick summary of the takeaways from this web cast. For more information, please visit www.sharedintelligence.com.

1. Rochelle’s Web Cast
Takeaways
Essentials to Advancing Analytics Capability

2. Hi there!
I’m Rochelle Hood,
your Community
Manager for

3. These are my
Key Takeaways from a
members-only web cast that
took place on
29 November 2016

4. Essentials to Advancing Analytics Capability
Facilitator:
Paul Fedor
Director, HR & Service Centre Metrics & Analytics,
Northrop Grumman Enterprise Shared Services
Watch the full web cast and
download the slides here!

5. Background
Launching or progressing data analytics capabilities is in the
forefront for many shared services organisations as teams
continuously evolve their knowledge-based skills and the
value they deliver to their customers.
Advancing on the analytics spectrum
from measurements and historical
reporting to predictive analysis
requires a sound strategy, the right
tools and leadership involvement.

6. Background
The following are a few highlights from Paul’s
insights and our group exchange.

7. 1
“All data, dashboards,
metrics are useless unless
the knowledge and insights
derived from them are
translated into action.”
– Suchitra Mishra

8. 2
Most important element when
building capability is
focusing on the WHY
and the IMPACT.

9. 3
Essential for stakeholders
and customers of analytics
to clearly understand
the differences between reports
(historical), metrics/performance
indicators (past/current state) and
advanced analytics
(future/predictive).

10. 4
Important to
provide
information to
give data context
was a key benefit for
managers and
stakeholders.
Play Ball!*
The Seattle Mariners baseball team
beat the San Francisco Giants last
night 10-0. Who do you think will win
the next game?
Does your answer change if you have
more data?
• The Mariners had key players injured
in last night’s game.
• The Giants will start the league’s best
pitcher in the next game – a pitcher
who hasn’t lost a game all year.
Now, who do you think will win the
next game?
*Example taken from presentation
slide no. 8 of the web cast

11. 5
Leadership needs to
understand both the
model / methodology and
the data in order to see value
in analytics and trust your
numbers.

12. 6
Begin with the end in
mind and focus on using
analytics to solve a
business problem.

13. 7
Avoid simply providing data
to answer questions
versus
understanding the objective
of the topic and perspective
being presented.

14. 8
Predictive analytics and leading
indicators start with a hypothesis.
Build questions and correlate data to
prove/disprove the hypothesis.
Example: Flight risk factors in an attrition
model to predict who might leave your
organisation

15. 9
When developing your strategy
and assessing current maturity
level, identify what will make
your organisation more
competitive.
i.e. Retail industry has high turnover;
provide analytics to support factors that
contribute to attrition in order to outline
a plan to lower by 10%.

16. 10
Desired skills in analytics talent
– people who know the data and systems,
team members skilled at analytics and
understanding patterns, and someone with
consultancy experience capable of
interfacing with very senior leaders in the
organisation.
Recognise it’s unlikely to find all the
skills in the same person…or even 2 or 3
team members.

17. 11
Data quality and integrity
– when you have gaps or
inconsistencies in your data, gauge the
confidence level stakeholders have in
the systems/data sources.
Utilise the most important data
elements and explain what’s
missing.

18. 12
Incentivise or measure
data entry accuracy and
compliance to governance
to raise data quality.

19. WANT TO LEARN MORE?
Check out the presentation slides and recorded
version of the web cast for further details.

20. ONE LAST THING…
You’ll need your Shared Intelligence
login details to watch the web cast.
Can’t find them? No problem.
Email info@sharedintelligence.com
and we’ll be glad to assist you.