Learn how setting up a solid data foundation will position your company for predictable growth and scale by leveraging all the insights at your disposal.
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How to Modernize Your Data Strategy to Fuel Digital Transformation
1. How to Modernize Your Data
Strategy to Fuel Digital
Transformation
2. Housekeeping Items
Ă45-minute presentation with audience Q&A at the end
ĂType questions into the "question box" to submit them
throughout the presentation
ĂWe'll send a copy of the deck and recording of the webinar in
follow-up emails after the event
11. The typical mid-market
company uses
137 unique business
systems.
Best of breed approaches create silos
And yet, less than 1%
of all collected data is
being used effectively.
- Forbes
12. Current Approaches arenât enough
One off analysis exercises
to try and mash up data
and get the insights we
need.
Spreadsheets
Make copies of large data sets
and move into CRM to try and
get a better view of the
customer.
Data Copying & ETL
Data teams are setup to just
focus on providing answers to
questions but donât have the
subject matter expertise.
Data Engineers
13. Data gaps lead to unanswered questions
Am I hiring the right people
at the right time to meet my
customerâs needs?
Are my teams consistently
meeting the deadlines that
matter?
How accurate is my forecast
for this month, this quarter,
this year?
What does my sales pipeline
look like and is it enough to
hit our revenue goals?
Are my largest customers
my most profitable? If not,
who is and why?
What payments are most at
risk on our current open
invoices?
Is my customer on-boarding
process working and how
can it be improved?
What is my ROI by marketing
channel and where should I
allocate my spending?
What products should we
introduce to meet unmet
customer demand?
15. What is a Modern Data Platform?
A modern data platform is a collection of tools and capabilities that,
when brought together, allow organizations to achieve the gold
standard â a fundamentally data-driven organization.
18. Modern data platforms are built differently
Based in the cloud, moden data
platforms can scale but vertically and
horizontally to meet the business needs.
Cloud Native
By loading raw data first, we can support
use cases in the future we havenât pre-
planned ahead of time.
ELT vs ETL
Modern data platorms can handle small
data sets as well as very large Big Data.
Built To Scale
19.
20. The 6 Steps To Becoming Data Driven
Understand
the business
need
Align people,
process, and
technology
Know where
your data
lives
Connect,
relate, &
blend your
data
Gain insights
from your
blended data
Take effective
action
1 2 3 4 5 6
MODERN DATA PLATFORM
21. How do we use data to manage our fleet?
Business Need
Too much money is invested in vehicles with
no data to understand average life of vehicle
Align People, Process, & Technology
Track vehicle usage, lifecycle, and predict
outages or issues
âWe blindly throw money into
new vehicles without
understanding the average
lifespan or maintenance for
each vehicle.â
Natalie Craig
Chief Operating Officer
23. Gain powerful insights from your data
ĂHistorical
Backwards looking data like Rides, Tickets, & Precipitation by month
ĂOperational
Day to day insights like tracking the health of each vehicle
ĂPredictive
Uses AI & Machine Learning to predict which vehicles will break down
ĂPrescriptive
Proactively creating action plans when vehicles are nearing the end of their lifecycle
26. Becoming data driven, one step at a time
Take our Data Driven assessment
to better understand how you can
become a data driven
organization.
https://pages.brainsell.net/Data-
Driven-Assessment
Data Driven Assessment