Big Data Without Action Means Nothing
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Big data refers to large and complex datasets that challenge traditional data processing tools, making it difficult to capture, store, and analyze information. Understanding and utilizing big data is essential for improving business outcomes, monitoring processes, and implementing effective changes in organizations. The document emphasizes the importance of data-driven decision-making and the need to analyze and adjust processes based on insights gained from data.
![Big
Data
Big
Data[1][2]
is
a
collec-on
of
data
sets
so
large
and
complex
that
it
becomes
difficult
to
process
using
on-‐hand
database
management
tools
or
tradi-onal
data
processing
applica-ons.
The
challenges
include
capture,
cura-on,
storage,[3]
search,
sharing,
analysis,[4]
and
visualiza-on.
The
trend
to
larger
data
sets
is
due
to
the
addi-onal
informa-on
derivable
from
analysis
of
a
single
large
set
of
related
data,
as
compared
to
separate
smaller
sets
with
the
same
total
amount
of
data,
allowing
correla-ons
to
be
found
to
"spot
business
trends,
determine
quality
of
research,
prevent
diseases,
link
legal
cita-ons,
combat
crime,
and
determine
real-‐-me
roadway
traffic
condi-ons."](https://image.slidesharecdn.com/big-20data-20dmsc-202013-131214140904-phpapp02/85/Big-Data-Without-Action-Means-Nothing-3-320.jpg)
Big Data Without Action Means Nothing
- 1. Big Data Without Ac.on Glenn Pasch, COO & Partner PCG Digital Marke6ng
- 2. What is it?
- 3. Big Data Big Data[1][2] is a collec-on of data sets so large and complex that it becomes difficult to process using on-‐hand database management tools or tradi-onal data processing applica-ons. The challenges include capture, cura-on, storage,[3] search, sharing, analysis,[4] and visualiza-on. The trend to larger data sets is due to the addi-onal informa-on derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data, allowing correla-ons to be found to "spot business trends, determine quality of research, prevent diseases, link legal cita-ons, combat crime, and determine real-‐-me roadway traffic condi-ons."
- 4. Big Data “Big data is a popular term used to describe the exponen-al growth, availability and use of informa-on, both structured and unstructured. Much has been wriKen on the big data trend and how it can serve as the basis for innova-on, differen-a-on and growth”
- 6. Goals of Workshop • Understanding How to Use Data to Drive Results • Understanding how one report influences others • How to Implement Change Based on Data
- 7. What Do You Look At In Your Dealership
- 8. Impact of One report Data says increase paid search More Leads come in More Phone calls come in Sales should go up Did we let BDC or Internet team know what we did • Are we staffed correctly • Did we increase accountability • • • • •
- 9. No Ac.on: Shred Away
- 10. Results = Process + Effort
- 11. Results = Process + Effort
- 12. Results = Process + Effort
- 13. Mythical Dealer Internet Department Cars Sold • Sold 50 cars • Feel they could be doing beTer on amount of leads they get • What Data are you looking at?
- 14. Mythical Dealer Current Results • • • • • • #of leads: 600 # of engagements 400 (66%) # of appointments 225 (56%) # of shows 90 (40%) # of sales: 50 (55%) Overall Closing ra.o: 8.3%
- 15. 60 x 4 Rule to Begin • • • • • • 600 leads 600 x 60% = 360 engagements 360 x 60% = 216 appointments 216 x 60% = 129 Shows 129 x 60% = 77 cars sold 13% closing ra.o
- 16. What Do We Want? 600 leads Current 13% Engagements 400 360 -‐40 Appointments 225 216 -‐9 Shows 90 129 +39 Sold 50 77 +27 Closing % 8% 13% +5% How?
- 17. Things to Look at • What is Current Process? – Is it Documented? – Is there a script in place? – Who listens to calls? – Who is causing results? One person or the group? – Who is training them? – Is there accountability?
- 18. The 3 Pillars What-‐Why-‐How
- 20. • Clarity of outcome in terms of DATA • What is different • Log BEHAVIOR changes. • Specific as possible
- 21. • This is biggest thing to communicate • Has to be big enough • What if I don’t change has to have pain • Timeframe has to be short “or else”
- 22. • Specific outline • Ask for help from the team • Everything has to .e in together
- 23. Analyze and Follow up on DATA
- 24. What if Data is Good? • Do you inspect with same intensity? • Do you reinforce behavior that got there? • Do you take process for granted? • Do you just go to another pain point?
- 25. Summary • Data is just the star.ng point • Need to understand how data impacts all processes and other departments • Any change to process has to be implemented correctly • You need to monitor your data to see the impact • Adjust as needed
- 27. – Office: 732.450.8200 – Email: glenn@pcgmailer.com – @sidebysidecoach – www.glennpasch.com
- 28. Thanks