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CNH Industrial - QlikView ®
Andrea Roero
Information & Communication Technology
Milan, Italy
Contains confidential proprietary and trade secrets information of CNH Industrial. Any use of this work without express written consent is strictly prohibited.
November 25th, 2014
Visualize Your World
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved 2
Agenda
� CNH Industrial Overview: Facts and Figures
� CNH Industrial and QlikView walkthrough
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
CNH Industrial
Our Products
Corporate Presentation April 2014
3
Who are we ?
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
CNH Industrial Corporate Presentation April 2014
&
Construction
Equipment
Commercial Vehicles
Agricultural
EquipmentPowertrain
Financial
Services
Group Structure
4
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
CNH Industrial
Key Figures (31 Dec 2013)
Corporate Presentation April 2014
1group
12brands
48R&D Centers
62plants
190national markets
71,192employees
6,300individuals dedicated to innovation
7,710active patents owned
$ 1,222million invested in R&D
$ 12million investedin training
$ 2,277million trading profit
$ 33,836million revenues
$ 8,713million totalavailable liquidity
5
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
Phase 3 – Focus
Our Global Presence
6
Our Global Presence
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Agenda
� CNH Industrial Overview: Facts and Figures
� CNH Industrial and QlikView walkthrough
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved 8
Federer –Service Excellence
ULTIMATELY INCREASE CUSTOMER LOYALTY
ASSURE BEST IN CLASS PARTS AVAILABILITY to END CUSTOMER
Tennis player FEDERER is widely known for his excellent SERVICE.
To serve our business processes, dealers and customers we need:
Excellent Service
HAVE System efficiency and decision support dashboard
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
CNH Industrial and QlikView recent years cooperation path shows an increasing level of solutions/Dashboards QlikView Based
Supply Chain / Logistics
Business Process
Precisions Solution & Telematics
Sales & Marketing
Warranty
2012 2013 2014
• Need date Simulation for CNH • NAFTA Free Analysis
• SPC Export Cycle Time - Free Analysis*
• SPC Kitting Cycle Time - Free Analysis*• On Time Shipment*• Inbound Quality*• Top Hit PNs*• Temporary Staged Parts*• Promotion Monitor*• Logistic Matrices• Simulation Environment
• Next Generation Parts Catalogue Reporting
• Forecast and Budgeting Tool
• CRM for Commercial Vehicles• Shipments Share Tractors NH AG
EMEA
• Agricultural Shipments Tractors OLA• CNHI Shipments Tractors APAC• Agricultural Shipments Combine EMEA• CNHI Shipments Combines APAC• Agricultural Registrations EMEA• Agricultural PO FI Evaluation• Commercial Vehicles PO FI Evaluation• GIV CNH (Parts Reporting)• GIV Commercial Vehicles
• Knova for KM Agricultural & Construction
• Depreciation Simulation for Agricultural and ConstructionFinance
QlikView Dashboard/ Solutions
* All included in QlikView Warehouse Management Project
9
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved 10
QlikView Warehouse Management - Free Analysis / On Time Shipment
/Inbound Quality/To Hit PN/Promotion Monitor Supply Chain / Logistics
Precision Solutions & Telematics
Sales & Marketing
Warranty Finance
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
Simulation Environment – Forecast Optimization
11
Supply Chain / Logistics
Precision Solutions & Telematics
Sales & Marketing
Warranty FinanceCommercial Bonus calculation
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
Parts Catalogue
12
Supply Chain / Logistics
Precision Solutions & Telematics
Sales & Marketing
Warranty FinanceForecast and Budgeting
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved 13
Additional Data Discovery needs in the telematics area
Streaming Data
Streaming Data
Streaming Data
Supply chain
Streaming Data
Final Customers
Historical DB
Real Time
Analytics
E-Commerce Platform
Machine To Machine data Management
Supply Chain / Logistics
Precision Solutions & Telematics
Sales & Marketing
Warranty Finance
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
Commercial Dashboarding
14
Supply Chain / Logistics
Precision Solutions & Telematics
Sales & Marketing
Warranty Finance
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Warranty KM analysisSupply Chain
/ Logistics
Precision Solutions & Telematics
Sales & Marketing
Warranty Finance
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Agenda
� Journey to adoption
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
The journey to adoption
17
Impacted employees want six fundamental questions answered before they are ready to adopt any
changes long term
The Journey to Adoption
How will changes impact
the organization and me?
What do I need to do
differently as a result?Vision1
Impacts
Expectations
Where exactly are we
headed?
Am I committed to
making the required
changes?
Commitment
Do I have the right skills
and tools to adapt?
CapabilitiesHave I adapted? Am I
clinging to old ways of
working?
Sustainability
2
3
4
5
6
Effective “metrics” help focus change management strategies on the most important threats to
stakeholder adoption. They also provide a high-level structure for developing targeted solutions and
turning stakeholders into champions.
November, 2014 CNH Industrial – QlikView – Confidential – All Right Reserved
An effective Change Management Strategy is a key success factor on top of a Software implementation process to exploit tools potentialities
18
Tool Implementation
Effective
Adoption
An effective Change Management Strategy includes three crucial steps to achieve the
stakeholder adoption
1. Define stakeholder adoption success
2. Plan and implement tactical solutions
3. Assess gaps in stakeholder adoption
Change Management
Strategy
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Big data differs from traditional business intelligence in a significant fashion
Big Data
Variety (of Data Assessed)
Velocity
Volume
Data Processing Method
Outputs
Traditional Business Intelligence
� Structured Data only (texts or numbers
coming from application fields)
� Structured and Unstructured Data (e.g internet e-mail, metering data, video,
sensors, still images, audio, stock ticker
data, financial transactions and more)
� Analysis of data coming from staging area, usually uploaded in the night when business activities on transactional applications are limited
� Real time or near real time speed of analysis
� Massive and continuous flow of data
� Terabytes, thousands of Gigabytes (current BA for Sales, Aftersales, Manufacturing, Logistics is around 3TB)
� Zettabytes, billions of Terabyte (note: 0,5TB = entire world wide web in 2009)
� Descriptive statistics (quantitative summary of sample data)
� Inductive statistics (e.g. regressions, non linear relationships, causal effects)
� Various data that can be interpreted
� Outputs that can directly reveal relationships, dependencies and perform predictions of outcomes and behaviors
Sources: Gartner website, Harvard Business Review: “Big Data: The Management Revolution” – October 2012, Association Nationale des Directeurs de Systemes d’Information (ANDSI)
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