We explore how you go about combing data science and marketing to extract knowledge and insights for your brand and marketing campaigns.

1. Post Covid-19:
Marketing and Brand Building
In a New World
June 2020

3. The advent
Your name
here

4. METORA DATA SCIENCE Company profile 2020
METORA is focused on making sense of
big data, by applying data science to
complex financial and planning decisions.
At metora - we make data happen
About Us

5. Experienced Global Leadership Team

6. Team metora

7. Group Structure
Data Science & EPM Cloud Services

8. Customers
We have enterprise clients across
the globe

9. So what do we do?

10. Metora develops
dashboards and
reports on multiple
platforms
Metora supports
Enterprise-wide
AI & Machine
learning capacity
Cleansing and
connecting data
AI & ML
Metora develops
dashboards and
reports on multiple
platforms
Data Visualisation
Understand how to
build a pipeline of AI
& ML driven
opportunities
PossibilityEngine®
Understand how
you can improve
your data flow for
better results
DataOdyssey®

11. How we use Data Science
LEVEL OF DATA SCIENCE COMPLEXITYLOW HIGH

12. Your Data
Science Journey
with metora
Building
leadership
understanding
Generating DC ideas
for implementation
Getting your
team ready to win

13. Multiple
use cases
Some examples of the opportunities to use
data science in your business. Speak to use
how we can help you identify use cases
relevant to you.

15. Source: www.jabil.com

16. McKinsey says that by 2030 70% of businesses will use AI.
This means all the jobs you have right now for staff will probably be obsolete.
McKinsey

18. EnterpriseAI
The Fundamental Challenge isnot“Software”
Success is not defined by having
great business acumen OR fantastic
data skills OR great analytics
mindset. You need them all, together.
Labs, IT, data, operations, business… all
have their own processes, and value
delivery requires to bridge them.
Siloed Data
Data is most often there, in many different
forms and many different systems that need
to be combined.
SiloedPeople SiloedProcesses

19. But I know nothing about DATA SCIENCE!

24. POSSIBILITY ENGINE

29. Brand 360º and AI
• Sales Volume by brand
• Revenue generated by each brand by time
• Profitability by each brand
• Returns on each brand
• Region performance by brand
• Brand by channel or distributor
• Forecast for each brand (demand and sales)
• Brand strategy for each country
• Best brand portfolio per country
• Brand tracker
• Brand analysis by account
• Automated brand templates
• Brand health
• Brand P&L by month and year and comparing
against the objectives set my marketing
• Brand distribution by pack
• Campaigns/Ads that affects the brand
• Competitor’s brand analysis
Sales
Volume
Revenue
Cost
ProfitDiscounts
Returns
Region

30. Sales
Volume
Revenue
Cost
Profit
Discounts
Returns
• Sales Volume by region
• Revenue generated by each region by time
• Cost of goods sold to each region
• Profitability by each region
• Returns on each region
• Product/overall performance by region
• Discount given for each region
• Forecast for each region (demand and sales)
• Region trend
• Market share by region
• Key accounts by region
• Salesperson/employees by region
• Brand by region
• Reports by region
• Access to data regionally
• Customer careline by region
• Cost of production by region
• Right time, right product, & right region/market
Sales and marketing 360º view

31. Thoughts – 3D printing
• We will see real time production and delivery.
• We will be able to spot trends a day or so ahead and ensure that production is in line with needs.
• We will have micro factories closer to the place of consumption.
• 3D Printed goods will proliferate and will get more and more ubiquitous.
• Home or shared 3D printing will become the standard.
• Product innovation will be crowd driven with 3D printing and ‘base’ producers providing the raw materials
for customers to create what they want.
• As too much choice becomes apparent, global brands will still hold a major market share with additional
value and design being critical.

32. DatAImpact
• So what potential technology shifts might create opportunities or challenges for my business?
• One way to change is through acquisition rather than changing the business model.
• Connected planning and data - the move from siloed data to augmented data analytics with every data
input integrated into the business in a unified and real time manner.
• Data Savvy organisations. The level of expertise necessary to run the business of the future. This impacts
on future education needs. The workforce will need to understand visualisation and BI tools as many of the
basic algorithms will become generic and widely available. The trick is the application of knowledge into
revenue.
• As an organisation’s big data advantage loses its ability to be a differentiator in the market relationship,
building and shared data or conjoined data (mutually beneficial data sharing) will be a strategic advantage.

33. Good Luck

34. June 2020
Post Covid-19: Marketing and Brand Building
Q&A

35. Thank you
email us on info@ideafoundry.co.za