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From data to decisions
Leverage data to improve decision making
process
Andrea Terzaghi
September 2016
Data to understand and transform reality
 Data is key to steer business: it is just the way
in which we read and understand reality
around us,
 We want to take decisions to transform reality
 Business Analytics and Insights:
1. Present data in such a way that everybody understands reality
2. Analyze it to explain the causes that determine reality
3. Use the understanding to support the decision making process
to transform reality
Data value chain within an Organization
Organize Exploit
«data
aware»
decision
• Identify data sources and
make them available in a
standard and re-usable way
internally in the
organization.
• Allow everybody to access
the same data set and have
internally a «unique truth»
to avoid useless discussions
about data quality
• Use data in meaningful
ways for Business.
• Data presentation and data
visualization allow
enhanced communication
of insights and pain points
• Storytelling capabilities
make the difference and
allow for a more profound
understanding
• Capability to manipulate data
and use it for Decision Support
Systems
• Forecasting capabilities allow
to understand «inertial»
outlook
• What-if analysis and scenario
planning allow to evaluate
alternatives for change
management
Providing data through a nice report is not enough:
what really matters is what you do with it!
IT competencies are core in Data Organization
Discover Ingest Process Preserve Integrate Analyze Expose
Identify
valuable data
sources:
• Internal data
• External data
• Social media
data
Drivers:
• Cost,
• Coverage
• Quality
Load effectively
external data
into internal
tools
Drivers:
• File formats
• Frequency
• Data volume
Transform data
into a format
that allows re-
use
Store
effectively and
with reliability
data and make
it available to
applications
Different data
sources are
connected to
generate new
connections
among data to
allow new ways
to analyze data
Insights are
generated
using
integrated data
New KPI are
generated from
integrated data
Generated KPIs
and reports are
presented and
made available
to all levels of
organization
Use BI tools to
generate
reports
You need a strong IT infrastructure to generate good
quality data to enable further steps
Data exploitation generate understanding…
Visualize Describe Explain
• Typically BI tools are used, most
common are:
• Business Objects
• Microstrategy
• Qlick View
Other Business Performance
Management tools are available
such as
• SAP BPC
• Hyperion Essbase
New Trend: Infographics
• A common “way to see look at
the business” within the
organization with standard
reporting
• Need to focus on specific issues:
Ad-hoc specific reporting is
needed every time to eviscerate
the new issue.
• Storytelling is what you need.
• The need to answer to Senior
management question about «Why»
things are as they are, implies the
identification of the business causes
• Most of the time, for any question, a
specific analysis has to be newly
generated
• Flexible Budget and other framework
can be implemented
Data exploitation allows to explain reality as it is
.. to support decision making process
• Incorporate market and
business understanding in
the current inertial
scenario.
• Incorporate already taken
decisions
• Evaluate alternative
scenarios of already known
elements of the business
• Risk assessment based of
different scenarios to
evaluate worst case and its
acceptability. Parameters of
the business model vary
within a certain range
• One off decisions to modify the
Business model require deep
dive analysis
• Examples:
• evaluate a JV,
• open a new market,
• open a new factory/Point
of sales/Channel
• Introduce a new product
Forecast
Scenario
Planning
Business
Case
evaluation
Decision making tools allow you to understand how
bend reality at your will
I can offer to you:
• IT skills are needed: how to
gather data, organize data,
store data, maintain data,
manage data into a DWH
• I can help your IT
department to shape the
data in the most useful way
for Business perspective
• I know how to manipulate
data to generate insights
with Excel/VBA, R and
intelligence
• Analyze and explain data
are the skills you need
• I’m strong in reading data
and providing explanations
of what ‘s happening. I can
easily merge together
Financial and Market and
industrial information to
provide a comprehensive
view of reality
• Use data to take decisions
such as Business cases
evaluations, forecasting,
Risk assessments
• I can run any kind of
Business Analysis to
support your decision
making process,
communicate it simply and
effectively and ensure
accuracy and consistency
I can to deliver you high level decision
making support systems and tools
Organize Exploit
«data
aware»
decision
Thank you
http://www.andreaterzaghi.eu
Andrea Terzaghi
Geneva Area – Switzerland
andrea.terzaghi@gmail.com
+41 79 127 0993
https://ch.linkedin.com/in/andreaterzaghi
References
• Data value chain: http://www.hs-schmalkalden.de/Englmeier-p-790/_/ValueChainBigData.pdf
• Quote around data: http://www.slideshare.net/CharlieQuirk1/planning-for-the-future-of-planning-54865575
• Data analytics and storytelling: https://www.thinkwithgoogle.com/articles/staffing-your-marketing-
measurement-team.html

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From data to decisions

  • 1. From data to decisions Leverage data to improve decision making process Andrea Terzaghi September 2016
  • 2. Data to understand and transform reality  Data is key to steer business: it is just the way in which we read and understand reality around us,  We want to take decisions to transform reality  Business Analytics and Insights: 1. Present data in such a way that everybody understands reality 2. Analyze it to explain the causes that determine reality 3. Use the understanding to support the decision making process to transform reality
  • 3. Data value chain within an Organization Organize Exploit «data aware» decision • Identify data sources and make them available in a standard and re-usable way internally in the organization. • Allow everybody to access the same data set and have internally a «unique truth» to avoid useless discussions about data quality • Use data in meaningful ways for Business. • Data presentation and data visualization allow enhanced communication of insights and pain points • Storytelling capabilities make the difference and allow for a more profound understanding • Capability to manipulate data and use it for Decision Support Systems • Forecasting capabilities allow to understand «inertial» outlook • What-if analysis and scenario planning allow to evaluate alternatives for change management Providing data through a nice report is not enough: what really matters is what you do with it!
  • 4. IT competencies are core in Data Organization Discover Ingest Process Preserve Integrate Analyze Expose Identify valuable data sources: • Internal data • External data • Social media data Drivers: • Cost, • Coverage • Quality Load effectively external data into internal tools Drivers: • File formats • Frequency • Data volume Transform data into a format that allows re- use Store effectively and with reliability data and make it available to applications Different data sources are connected to generate new connections among data to allow new ways to analyze data Insights are generated using integrated data New KPI are generated from integrated data Generated KPIs and reports are presented and made available to all levels of organization Use BI tools to generate reports You need a strong IT infrastructure to generate good quality data to enable further steps
  • 5. Data exploitation generate understanding… Visualize Describe Explain • Typically BI tools are used, most common are: • Business Objects • Microstrategy • Qlick View Other Business Performance Management tools are available such as • SAP BPC • Hyperion Essbase New Trend: Infographics • A common “way to see look at the business” within the organization with standard reporting • Need to focus on specific issues: Ad-hoc specific reporting is needed every time to eviscerate the new issue. • Storytelling is what you need. • The need to answer to Senior management question about «Why» things are as they are, implies the identification of the business causes • Most of the time, for any question, a specific analysis has to be newly generated • Flexible Budget and other framework can be implemented Data exploitation allows to explain reality as it is
  • 6. .. to support decision making process • Incorporate market and business understanding in the current inertial scenario. • Incorporate already taken decisions • Evaluate alternative scenarios of already known elements of the business • Risk assessment based of different scenarios to evaluate worst case and its acceptability. Parameters of the business model vary within a certain range • One off decisions to modify the Business model require deep dive analysis • Examples: • evaluate a JV, • open a new market, • open a new factory/Point of sales/Channel • Introduce a new product Forecast Scenario Planning Business Case evaluation Decision making tools allow you to understand how bend reality at your will
  • 7. I can offer to you: • IT skills are needed: how to gather data, organize data, store data, maintain data, manage data into a DWH • I can help your IT department to shape the data in the most useful way for Business perspective • I know how to manipulate data to generate insights with Excel/VBA, R and intelligence • Analyze and explain data are the skills you need • I’m strong in reading data and providing explanations of what ‘s happening. I can easily merge together Financial and Market and industrial information to provide a comprehensive view of reality • Use data to take decisions such as Business cases evaluations, forecasting, Risk assessments • I can run any kind of Business Analysis to support your decision making process, communicate it simply and effectively and ensure accuracy and consistency I can to deliver you high level decision making support systems and tools Organize Exploit «data aware» decision
  • 8. Thank you http://www.andreaterzaghi.eu Andrea Terzaghi Geneva Area – Switzerland andrea.terzaghi@gmail.com +41 79 127 0993 https://ch.linkedin.com/in/andreaterzaghi
  • 9. References • Data value chain: http://www.hs-schmalkalden.de/Englmeier-p-790/_/ValueChainBigData.pdf • Quote around data: http://www.slideshare.net/CharlieQuirk1/planning-for-the-future-of-planning-54865575 • Data analytics and storytelling: https://www.thinkwithgoogle.com/articles/staffing-your-marketing- measurement-team.html