SlideShare a Scribd company logo
1 of 22
Turning Data into Actionable Information
TradeSmart, Trade Promotion Intelligence
There’s No More Excuse For Poor Performing Promotions
Janet Dorenkott
440-899-3296 x225
janetd@relationalsolutions.com
Karen Kurtzweil x239
karenk@relationalsolutions.com
Confidential - for limited circulation only
“Top 10
Companies on
the Move”
BlueSky
Integration
Studio
“Best at
integrating POS
with Internal data”
Weatherhead 100
Fastest Growing
Businesses
First Release of
Oracle
Developer of
the Year
Data Warehouse &
BI Consulting
1996 - 98 1999 - 01 2002 – 04 2005 - 06 2007 - 08 2009 - 10 2011 – 12 2013-2015
“Data Warehouse
of the Year!”
BlueSky “Coolest
New Technologies”
DataStage ETL Best
Implementors Award
Company Background
Informatica’s
Partner of the Year
Selects POSmart
to embed in DSR
Partnering to
support DSMi
2014 NEO
Software
Assn. “Best
Software”
Confidential - for limited circulation only
Lowes
Kroger
Costco
Shipments
Other POS data
EDI/FF/txt/Access, etc
Wholesaler/Dist
Nielsen
Submit Reports
Most time spent gathering disparate
data
•G ather ing
•Cleaning
•Integr ating
•Justifying
?
Inconsistent reports lead
to questionable decisions
Carrfore
Wal-Mart, Shiloh
Retail Link, EDI/AS2
?
?
? ?
?
?
The POS Data Dilemma
Ahold
IRI
Confidential - for limited circulation only
• G a t h e r i n g
• C l e a n i n g
• I n t e g r a t i n g
• J u s t i f y i n g
What Makes CPG Data Cleansing So Challenging?
Property of Relational Solutions, Inc. By Janet Dorenkott June 2015
Big Data, Omni-Channel
& New Data Sources
End User
Requests Change
Data Frequency is
Inconsistent
Data Formats Vary
From Source to Source
You Are at the Mercy of
Retailer Decisions
Constantly Changing
Conditions
POS is Not Always Available
& May Cost Money
Everyone Wants to See
Data Differently
Different Sources?
Different Reliability
Every Retailer Provides
Different Data Elements
Lack of Integration &
Manageability
Confidential - for limited circulation only
Every Retailer & Data Provider gives Different Data Elements
Date Time Units Price Store # In Transit OH Inv OH Qty In
Warehouse
On
Order
9/16/2015 08:12:00 150 $3.20 #442 30 20 10 20 50
Date Time Units Store #
9/16/2015 10:14:06 122 #210
Retailer A
Retailer B
Confidential - for limited circulation only
Aligning Different Week Start & End Dates
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday Saturday
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Confidential - for limited circulation only
Different Sources, Different Formats
EDI 852
EDI 867
SAP
Retailer
Portals
AS2
Oracle
TXT
SQL
Excel
CSV
How Do I get
all these
sources into
1 common
database
type?
FTP
Access
Confidential - for limited circulation only
Different Sources, Different Reliability
Missing
Data
EDI
Inconsistencies
UPC
Issues
Portal
is Down
Re-Casts
• Data was supposed to come in from CVS today! Where is it?
• RetailLink is down!
• Walgreens is padding UPC codes in the front with 2 digits!
• Food Lion is padding UPC codes in the back with 1 digit!
• Kroger wants us to buy data from Market 6!
• Dollar General was missing 2 days from last month!
• Target EDI came in 4 hours late!
Confidential - for limited circulation only
Different Retailers & Data Providers, Different Hierarchies
Internal
Category
Brand
Sub-Brand
Item
Product #
Retailer A
Category
Sub-
Category
Brand
Product #
Product ID
Sku
Retailer B
Category
Sub-
Category
Item #
Item Name
Sku
Confidential - for limited circulation only
Frequency of Feeds Vary
EDI
Daily
Syndicated
Data Monthly
ERP Data
Every Second
Currency
Conversion
Daily
Daily POS
Once a Month
RMA
Annually
Plan Data
When
Available
Weather Trends
Quarterly
Confidential - for limited circulation only
Constantly Changing Market Conditions
New Competitors New Retailers
Trends
New Laws
Acquire a Company
Economy Management Direction
National Conditions Natural Disaster
New Corporate Direction
Retailers Partners
Company switches
data providers
The company adds a new data source
Retailer Contracts
New CEO
Confidential - for limited circulation only
You Are Subject To Retailer Decisions
Make Portal
Changes
Start Sending
Inventory
New POS Source
Category Focus
Changed
New Buyer
Update Contract
Restrictions
Policy
Changes
More Data Offered
Opened New Stores
Acquired Another
Retailer
Confidential - for limited circulation only
End User Requirements Change
I Need to see
Target compared
to Walmart
Include
Shipments in
this Report
How do I
compare my
sales with
plans?
We just
bought new
demographic
data
I need to
calculate
potential
impact
I upgraded
our Nielsen
contract
We switched
from SAP to
Oracle
I want to
compare this
with weather
trends
I want to compare
POS from the
retailer with POS
from IRI
Confidential - for limited circulation only
POSmart
Consistency
• Easy Access to
Information
• Improved Productivity
Streamline Data
Gathering
Synchronize, Integrate &
Validate POS
Wal-Mart/Shiloh
EDI /AS2/Retail Link
Promo/Forecasts
Costco
Nielsen
Shipping
Target
IRI
Carrfore
EDI, AS2
Walmart
Wholesaler/Dist
Kroger/Market 6/
RSI/DunnHumby
Productive Meetings
Integration & Harmonization
Confidential - for limited circulation only
Military,
Distributor
Budget
3rd Party
GL
Forecasts
Reports
Scheduled
& Cached
Shipments
SourcesRetailers
WalMart
Home Depot
Costco
Kroger/DunH
Meijers
Sam’s
Distributors
POSmart
Integrate, Validate,
Synchronize & Manage
BlueSky
Over 200 KPI’s
Or Other BI Tool
DW
POS
Integrator
BIS
EDI, Text, Flat
Files, Access,
Retail Link,
Partners
SAP, JDE, DB2,
Oracle, JDA
Users access via
web
3rd Party Data:
AC Nielsen/IRI
Spectra/NPD,
Market6, RSi
Forecast
Shipments, Promo,
Vendor
TradeSmart
POSmart
“Smart” Architecture
OtherTPM
BlueSky Analytics
Power User
BlueSky Viewer
Casual Users or
BlueSky XL Users
Control
Center
Confidential - for limited circulation only
TPM - TPO or TPI/TPA
TPM
 The upfront process of creating trade promotion plans. Applications include home grown
solutions, SAP TPM, Siebel, Demantra, etc.
 Weakness
– Very little exposure to success factors
– Relies on sales rep “hunch” factor
– Little understanding of actual outcomes
– Lacking true ROI analysis
TPO
 Choosing trade promotional activities & timing to predicted results & objectives.
 “What if” Analysis
 Learned Analysis
 Only 1% of all CPG companies are actually implementing TPO
– Low adoption rate due to skipping TPI. Complexities of gathering, harmonizing
feeding back trade spend information
TPI / TPA
 A Necessary Step between TPM & TPO
 Leverages an enterprise architecture.
 Automates the integration & harmonization of various
trade components
 The intersection of plans, shipments and consumption as
it relates to trade promotions
 The ability to accurately analyze the outcomes of trade
promotions including true ROI
 The ability to understand whether or not promotions were
properly executed and the amount of retail compliance
 Provides a repository for all historical, multi-year analysis
 Ability to feed results to other systems
 Makes TPO Possible & Successful!!!
TPI GAP
Confidential - for limited circulation only
What is TradeSmart?
 TradeSmart leverages the Smart Solution Architecture with the automation,
integration and harmonization of various trade components
 Promotion Automation and Analytics solution.
 The intersection of plans, shipments and consumption as it relates to trade
promotions
 The ability to accurately analyze the outcomes of trade promotions and compare to
planning expectations across all retail segments
 The ability to understand whether or not promotions were properly executed and
the amount of retail compliance
 The common repository for all historical promotions which enables multi-year
analysis/comparison of trade spend initiatives
 The ability to feed results to other systems – planning, supply chain, predictive,
merchandising, etc.
 TPI – Trade Promotion Intelligence
Confidential - for limited circulation only
Automate
Integration &
Harmonize into
Data Model
Plan
Improvement
Trade
• Shipments
• Products
• Plans
• Syndicated
BlueSky
PromoPro
• Planning Data
• Shipments
• Consumption
• IRI
• AC Nielsen
• POS
• Master Data
• Forecast Data
• COGS
• Other
Source Data
Capture
Disparate &
Complex
Source Data
TradeSmart Solution Architecture
Relational Solutions, Inc.
BIS
TradeSmart
Designed for
fast access,
Powerful
Analytics, Easy
KPI Dashboard
Confidential - for limited circulation only
Rule-based system. Allows for a streamlined process where ROI calculation is
consistent and accurate
Process driven capabilities allowing visibility to non-compliant events
Insight into planned spending to retail execution by event or product is visible
up the hierarchy
Uses cost information to understand your true margins and contribution
Provides visibility to historical pricing to protect against margin erosion
Knowing “sell-through” and supply chain visibility by incorporating shipments
Benefits of TradeSmart
Confidential - for limited circulation only
Benefits of TradeSmart (Cont.)
• ROI: Measures effectiveness/efficiency of a trade promotion event
• Promotion Effectiveness Index: Which promotions generate the largest
incremental gains
• Incremental Weeks: Promotion generated x additional weeks of sales
• % Lift: Promotion drove x% increase in sales
• Promotion Efficiency: % of promoted volume that was incremental to the
brand/PPG
• % Sell Through: Remaining inventory affects event ROI and forward buy.
• Promo Event Tactics Analysis – Results indicate potential revisions to tactical
mix to improve ROI.
• Purchase Frequency Analysis: Optimize promo event timing, compliment the
product life cycle.
Confidential - for limited circulation only
-Understand ROI for Wholesaler and Retailer
-Know that Events are working for BOTH you and the customer.
-Create Win-Win during JBPS (Joint Business Planning Sessions) with Retailers
Relational Solutions, Inc.
Winner for
Retailer but
not Supplier
Winner for
Supplier but
not Retailer
BlueSky Report for JBPS
Confidential - for limited circulation only
Follow our Relational Solutions Training Blog
http://www.relationalsolutions.com/blog
Join Demand Signal Repository Institute Group on
Watch our Training & Video’s on
 Relational Solutions Channel
Follow POSmartBlueSky & JanetAtRSI on
Follow Relational Solutions on
Like Relational Solutions on
Contact Janet Dorenkott 440-899-3296 x225
Janetd@relationalsolutions.com
Connect with Janet on
Stay Connected & Informed!

More Related Content

What's hot

Drive More Sales with Digital Customer Experience
Drive More Sales with Digital Customer ExperienceDrive More Sales with Digital Customer Experience
Drive More Sales with Digital Customer ExperienceSAP Ariba
 
How Companies are using StratApps Analytics to Outsmart Competition
How Companies are using StratApps Analytics to Outsmart CompetitionHow Companies are using StratApps Analytics to Outsmart Competition
How Companies are using StratApps Analytics to Outsmart Competitionatul411
 
Spot Buy – A New Sales Channel for Suppliers to Reach SAP Customers
Spot Buy – A New Sales Channel for Suppliers to Reach SAP CustomersSpot Buy – A New Sales Channel for Suppliers to Reach SAP Customers
Spot Buy – A New Sales Channel for Suppliers to Reach SAP CustomersSAP Ariba
 
Essentials of a business plan by nurture talent
Essentials of a business plan  by nurture talentEssentials of a business plan  by nurture talent
Essentials of a business plan by nurture talentBuzzFactory.net
 
How to Talk to Your Suppliers About the Value of Joining Ariba Network
How to Talk to Your Suppliers About the Value of Joining Ariba NetworkHow to Talk to Your Suppliers About the Value of Joining Ariba Network
How to Talk to Your Suppliers About the Value of Joining Ariba NetworkSAP Ariba
 
Optimising Big Data Analytics for Non-Aeronautical Activity
Optimising Big Data Analytics for Non-Aeronautical ActivityOptimising Big Data Analytics for Non-Aeronautical Activity
Optimising Big Data Analytics for Non-Aeronautical ActivityConcessionaire Analyzer+
 
Spend Analysis: It’s What You Do With it That Matters
Spend Analysis: It’s What You Do With it That MattersSpend Analysis: It’s What You Do With it That Matters
Spend Analysis: It’s What You Do With it That MattersSAP Ariba
 
Procurement Reality and Automation through Intelligent Supplier Network durin...
Procurement Reality and Automation through Intelligent Supplier Network durin...Procurement Reality and Automation through Intelligent Supplier Network durin...
Procurement Reality and Automation through Intelligent Supplier Network durin...Shashi Kanth K (S.K)
 
Realizing The Full Potential Of Your SAP Procurement Systems
Realizing The Full Potential Of Your SAP Procurement SystemsRealizing The Full Potential Of Your SAP Procurement Systems
Realizing The Full Potential Of Your SAP Procurement SystemsSAP Ariba
 
Retail Analytics Solution - CloudMoyo
Retail Analytics Solution - CloudMoyoRetail Analytics Solution - CloudMoyo
Retail Analytics Solution - CloudMoyoCloudMoyo
 
Spend Analysis: What Your Data Is Telling You and Why It’s Worth Listening
Spend Analysis: What Your Data Is Telling You and Why It’s Worth ListeningSpend Analysis: What Your Data Is Telling You and Why It’s Worth Listening
Spend Analysis: What Your Data Is Telling You and Why It’s Worth ListeningSAP Ariba
 
Spot Buy – A New Channel to Reach SAP Customer Tactical Buying Demand
Spot Buy – A New Channel to Reach SAP Customer Tactical Buying DemandSpot Buy – A New Channel to Reach SAP Customer Tactical Buying Demand
Spot Buy – A New Channel to Reach SAP Customer Tactical Buying DemandSAP Ariba
 
Maximize SAP Ariba Solution ROI Through Optimized Governance, Compliance, and...
Maximize SAP Ariba Solution ROI Through Optimized Governance, Compliance, and...Maximize SAP Ariba Solution ROI Through Optimized Governance, Compliance, and...
Maximize SAP Ariba Solution ROI Through Optimized Governance, Compliance, and...SAP Ariba
 
Rplus Retail analytics solution
Rplus Retail analytics solutionRplus Retail analytics solution
Rplus Retail analytics solutionKGS Saravanan
 

What's hot (20)

Drive More Sales with Digital Customer Experience
Drive More Sales with Digital Customer ExperienceDrive More Sales with Digital Customer Experience
Drive More Sales with Digital Customer Experience
 
How Companies are using StratApps Analytics to Outsmart Competition
How Companies are using StratApps Analytics to Outsmart CompetitionHow Companies are using StratApps Analytics to Outsmart Competition
How Companies are using StratApps Analytics to Outsmart Competition
 
Ultimate erp users email list
Ultimate erp users email listUltimate erp users email list
Ultimate erp users email list
 
Tibco erp technology users list
Tibco erp technology users listTibco erp technology users list
Tibco erp technology users list
 
Ulti pro erp users email list
Ulti pro erp users email listUlti pro erp users email list
Ulti pro erp users email list
 
Spot Buy – A New Sales Channel for Suppliers to Reach SAP Customers
Spot Buy – A New Sales Channel for Suppliers to Reach SAP CustomersSpot Buy – A New Sales Channel for Suppliers to Reach SAP Customers
Spot Buy – A New Sales Channel for Suppliers to Reach SAP Customers
 
Essentials of a business plan by nurture talent
Essentials of a business plan  by nurture talentEssentials of a business plan  by nurture talent
Essentials of a business plan by nurture talent
 
Triple point commodity erp users list
Triple point commodity erp users listTriple point commodity erp users list
Triple point commodity erp users list
 
Tp time suite erp users email list
Tp time suite erp users email listTp time suite erp users email list
Tp time suite erp users email list
 
How to Talk to Your Suppliers About the Value of Joining Ariba Network
How to Talk to Your Suppliers About the Value of Joining Ariba NetworkHow to Talk to Your Suppliers About the Value of Joining Ariba Network
How to Talk to Your Suppliers About the Value of Joining Ariba Network
 
Optimising Big Data Analytics for Non-Aeronautical Activity
Optimising Big Data Analytics for Non-Aeronautical ActivityOptimising Big Data Analytics for Non-Aeronautical Activity
Optimising Big Data Analytics for Non-Aeronautical Activity
 
Spend Analysis: It’s What You Do With it That Matters
Spend Analysis: It’s What You Do With it That MattersSpend Analysis: It’s What You Do With it That Matters
Spend Analysis: It’s What You Do With it That Matters
 
Illumiti Mining Deck
Illumiti Mining DeckIllumiti Mining Deck
Illumiti Mining Deck
 
Procurement Reality and Automation through Intelligent Supplier Network durin...
Procurement Reality and Automation through Intelligent Supplier Network durin...Procurement Reality and Automation through Intelligent Supplier Network durin...
Procurement Reality and Automation through Intelligent Supplier Network durin...
 
Realizing The Full Potential Of Your SAP Procurement Systems
Realizing The Full Potential Of Your SAP Procurement SystemsRealizing The Full Potential Of Your SAP Procurement Systems
Realizing The Full Potential Of Your SAP Procurement Systems
 
Retail Analytics Solution - CloudMoyo
Retail Analytics Solution - CloudMoyoRetail Analytics Solution - CloudMoyo
Retail Analytics Solution - CloudMoyo
 
Spend Analysis: What Your Data Is Telling You and Why It’s Worth Listening
Spend Analysis: What Your Data Is Telling You and Why It’s Worth ListeningSpend Analysis: What Your Data Is Telling You and Why It’s Worth Listening
Spend Analysis: What Your Data Is Telling You and Why It’s Worth Listening
 
Spot Buy – A New Channel to Reach SAP Customer Tactical Buying Demand
Spot Buy – A New Channel to Reach SAP Customer Tactical Buying DemandSpot Buy – A New Channel to Reach SAP Customer Tactical Buying Demand
Spot Buy – A New Channel to Reach SAP Customer Tactical Buying Demand
 
Maximize SAP Ariba Solution ROI Through Optimized Governance, Compliance, and...
Maximize SAP Ariba Solution ROI Through Optimized Governance, Compliance, and...Maximize SAP Ariba Solution ROI Through Optimized Governance, Compliance, and...
Maximize SAP Ariba Solution ROI Through Optimized Governance, Compliance, and...
 
Rplus Retail analytics solution
Rplus Retail analytics solutionRplus Retail analytics solution
Rplus Retail analytics solution
 

Viewers also liked

Сергей Гончарук "Working with uncertainty"
 	Сергей Гончарук "Working with uncertainty"  	Сергей Гончарук "Working with uncertainty"
Сергей Гончарук "Working with uncertainty" Anna Shymchenko
 
Pennsylvania Skilled Machine Operatives Employed and Wages
Pennsylvania Skilled Machine Operatives Employed and WagesPennsylvania Skilled Machine Operatives Employed and Wages
Pennsylvania Skilled Machine Operatives Employed and WagesJames Baker, SPHR Retired, MAS
 
NYSTC Spring Symposium 2016 - PR for Teacher Centers
NYSTC Spring Symposium 2016 - PR for Teacher CentersNYSTC Spring Symposium 2016 - PR for Teacher Centers
NYSTC Spring Symposium 2016 - PR for Teacher CentersChristopher Casal
 
Presentación de los entornos ingles 1
Presentación de los entornos ingles 1Presentación de los entornos ingles 1
Presentación de los entornos ingles 1Oscar Urieles
 
Continuous loyalty - From Transactions to Interactions
Continuous loyalty - From Transactions to InteractionsContinuous loyalty - From Transactions to Interactions
Continuous loyalty - From Transactions to InteractionsThoughtworks
 
Евгений Бова: "Modularity in Java: introduction to Jigsaw through the prism o...
Евгений Бова: "Modularity in Java: introduction to Jigsaw through the prism o...Евгений Бова: "Modularity in Java: introduction to Jigsaw through the prism o...
Евгений Бова: "Modularity in Java: introduction to Jigsaw through the prism o...Anna Shymchenko
 
Internet Safety for Parents
Internet Safety for ParentsInternet Safety for Parents
Internet Safety for ParentsScott Burnett
 
Алесей Решта: “Robotics Sport & Luxoft Open Robotics Club”
Алесей Решта: “Robotics Sport & Luxoft Open Robotics Club” Алесей Решта: “Robotics Sport & Luxoft Open Robotics Club”
Алесей Решта: “Robotics Sport & Luxoft Open Robotics Club” Anna Shymchenko
 
Modelos de desenvolvimento de software (dino brasilis)
Modelos de desenvolvimento de software (dino brasilis)Modelos de desenvolvimento de software (dino brasilis)
Modelos de desenvolvimento de software (dino brasilis)djadrianodez
 
Federal EEO Complaint Process Increased Accountability Measures Needed
Federal EEO Complaint Process Increased Accountability Measures NeededFederal EEO Complaint Process Increased Accountability Measures Needed
Federal EEO Complaint Process Increased Accountability Measures NeededTanya Ward Jordan
 
Роман Яворский "Introduction to DevOps"
Роман Яворский "Introduction to DevOps"Роман Яворский "Introduction to DevOps"
Роман Яворский "Introduction to DevOps"Anna Shymchenko
 
Modern Static Code Analysis in PHP
Modern Static Code Analysis in PHPModern Static Code Analysis in PHP
Modern Static Code Analysis in PHPVladimir Reznichenko
 
Khotbah Cara Pandang Dunia
Khotbah Cara Pandang DuniaKhotbah Cara Pandang Dunia
Khotbah Cara Pandang DuniaPhasa Joshua
 
Public vs Private Self
Public vs Private SelfPublic vs Private Self
Public vs Private Selfjhouchens99
 

Viewers also liked (20)

Сергей Гончарук "Working with uncertainty"
 	Сергей Гончарук "Working with uncertainty"  	Сергей Гончарук "Working with uncertainty"
Сергей Гончарук "Working with uncertainty"
 
Pennsylvania Skilled Machine Operatives Employed and Wages
Pennsylvania Skilled Machine Operatives Employed and WagesPennsylvania Skilled Machine Operatives Employed and Wages
Pennsylvania Skilled Machine Operatives Employed and Wages
 
NYSTC Spring Symposium 2016 - PR for Teacher Centers
NYSTC Spring Symposium 2016 - PR for Teacher CentersNYSTC Spring Symposium 2016 - PR for Teacher Centers
NYSTC Spring Symposium 2016 - PR for Teacher Centers
 
Presentación de los entornos ingles 1
Presentación de los entornos ingles 1Presentación de los entornos ingles 1
Presentación de los entornos ingles 1
 
Continuous loyalty - From Transactions to Interactions
Continuous loyalty - From Transactions to InteractionsContinuous loyalty - From Transactions to Interactions
Continuous loyalty - From Transactions to Interactions
 
Евгений Бова: "Modularity in Java: introduction to Jigsaw through the prism o...
Евгений Бова: "Modularity in Java: introduction to Jigsaw through the prism o...Евгений Бова: "Modularity in Java: introduction to Jigsaw through the prism o...
Евгений Бова: "Modularity in Java: introduction to Jigsaw through the prism o...
 
Cut Resistance 101
Cut Resistance 101Cut Resistance 101
Cut Resistance 101
 
Internet Safety for Parents
Internet Safety for ParentsInternet Safety for Parents
Internet Safety for Parents
 
Алесей Решта: “Robotics Sport & Luxoft Open Robotics Club”
Алесей Решта: “Robotics Sport & Luxoft Open Robotics Club” Алесей Решта: “Robotics Sport & Luxoft Open Robotics Club”
Алесей Решта: “Robotics Sport & Luxoft Open Robotics Club”
 
Modelos de desenvolvimento de software (dino brasilis)
Modelos de desenvolvimento de software (dino brasilis)Modelos de desenvolvimento de software (dino brasilis)
Modelos de desenvolvimento de software (dino brasilis)
 
Superior Glove PPE Automotive Overview OHS
Superior Glove PPE Automotive Overview OHSSuperior Glove PPE Automotive Overview OHS
Superior Glove PPE Automotive Overview OHS
 
BDD&Python
BDD&PythonBDD&Python
BDD&Python
 
Superior Glove En 388 Infographic
Superior Glove En 388 InfographicSuperior Glove En 388 Infographic
Superior Glove En 388 Infographic
 
Meaning Across Media
Meaning Across MediaMeaning Across Media
Meaning Across Media
 
Federal EEO Complaint Process Increased Accountability Measures Needed
Federal EEO Complaint Process Increased Accountability Measures NeededFederal EEO Complaint Process Increased Accountability Measures Needed
Federal EEO Complaint Process Increased Accountability Measures Needed
 
Роман Яворский "Introduction to DevOps"
Роман Яворский "Introduction to DevOps"Роман Яворский "Introduction to DevOps"
Роман Яворский "Introduction to DevOps"
 
PPE HAZARD ASSESSMENT FORM
PPE HAZARD ASSESSMENT FORMPPE HAZARD ASSESSMENT FORM
PPE HAZARD ASSESSMENT FORM
 
Modern Static Code Analysis in PHP
Modern Static Code Analysis in PHPModern Static Code Analysis in PHP
Modern Static Code Analysis in PHP
 
Khotbah Cara Pandang Dunia
Khotbah Cara Pandang DuniaKhotbah Cara Pandang Dunia
Khotbah Cara Pandang Dunia
 
Public vs Private Self
Public vs Private SelfPublic vs Private Self
Public vs Private Self
 

Similar to Turn Data into Actionable Promotion Insights

POSmart & Trade Smart Business Intelligence for CPG
POSmart & Trade Smart Business Intelligence for CPGPOSmart & Trade Smart Business Intelligence for CPG
POSmart & Trade Smart Business Intelligence for CPGJanet Dorenkott
 
Balanced Performance Metrics
Balanced Performance MetricsBalanced Performance Metrics
Balanced Performance MetricsPX Solutions LLC
 
Demand Driven Reporting And Collaboration
Demand Driven Reporting And CollaborationDemand Driven Reporting And Collaboration
Demand Driven Reporting And CollaborationNick Ilacqua
 
Trade smart case studies
Trade smart case studiesTrade smart case studies
Trade smart case studiesKristy Weiss
 
Trade smart case studies
Trade smart case studiesTrade smart case studies
Trade smart case studiesKristy Weiss
 
CRM Module Nfra
CRM Module NfraCRM Module Nfra
CRM Module Nfranfra erp
 
The Future of Data Integration in Salesforce
The Future of Data Integration in SalesforceThe Future of Data Integration in Salesforce
The Future of Data Integration in SalesforceSalesforce Partners
 
Small But Mighty - Why SKU-Level Insight Will Supercharge Your Supply Chain
Small But Mighty - Why SKU-Level Insight Will Supercharge Your Supply ChainSmall But Mighty - Why SKU-Level Insight Will Supercharge Your Supply Chain
Small But Mighty - Why SKU-Level Insight Will Supercharge Your Supply ChainSCL HUB Conference
 
Insights on Procurement Data with Analytics Solutions from SAP
Insights on Procurement Data with Analytics Solutions from SAPInsights on Procurement Data with Analytics Solutions from SAP
Insights on Procurement Data with Analytics Solutions from SAPSAP Ariba
 
Building a 21st century retail supply chain - the case for edi in retail -- ...
Building a 21st century retail supply chain  - the case for edi in retail -- ...Building a 21st century retail supply chain  - the case for edi in retail -- ...
Building a 21st century retail supply chain - the case for edi in retail -- ...Neel Sharma
 
Beyond the Hype: Building a Sustainable Supplier Risk Strategy
Beyond the Hype: Building a Sustainable Supplier Risk StrategyBeyond the Hype: Building a Sustainable Supplier Risk Strategy
Beyond the Hype: Building a Sustainable Supplier Risk StrategyBristlecone SCC
 

Similar to Turn Data into Actionable Promotion Insights (20)

POSmart & Trade Smart Business Intelligence for CPG
POSmart & Trade Smart Business Intelligence for CPGPOSmart & Trade Smart Business Intelligence for CPG
POSmart & Trade Smart Business Intelligence for CPG
 
Strategies for Joint Business Planning Sessions
Strategies for Joint Business Planning SessionsStrategies for Joint Business Planning Sessions
Strategies for Joint Business Planning Sessions
 
Balanced Performance Metrics
Balanced Performance MetricsBalanced Performance Metrics
Balanced Performance Metrics
 
Demand Driven Reporting And Collaboration
Demand Driven Reporting And CollaborationDemand Driven Reporting And Collaboration
Demand Driven Reporting And Collaboration
 
What is a Demand Signal Repository?
What is a Demand Signal Repository?What is a Demand Signal Repository?
What is a Demand Signal Repository?
 
TradeSmart Case Studies
TradeSmart Case StudiesTradeSmart Case Studies
TradeSmart Case Studies
 
Omnichannel Analytics for Consumer Goods
Omnichannel Analytics for Consumer GoodsOmnichannel Analytics for Consumer Goods
Omnichannel Analytics for Consumer Goods
 
Trade smart case studies
Trade smart case studiesTrade smart case studies
Trade smart case studies
 
Trade smart case studies
Trade smart case studiesTrade smart case studies
Trade smart case studies
 
Trade Promotion Insights from TradeSmart
Trade Promotion Insights from TradeSmartTrade Promotion Insights from TradeSmart
Trade Promotion Insights from TradeSmart
 
Who is 1010data?
Who is 1010data?Who is 1010data?
Who is 1010data?
 
CRM Module Nfra
CRM Module NfraCRM Module Nfra
CRM Module Nfra
 
Nfra CRM
Nfra CRMNfra CRM
Nfra CRM
 
Nfra crm
Nfra crmNfra crm
Nfra crm
 
The Future of Data Integration in Salesforce
The Future of Data Integration in SalesforceThe Future of Data Integration in Salesforce
The Future of Data Integration in Salesforce
 
Small But Mighty - Why SKU-Level Insight Will Supercharge Your Supply Chain
Small But Mighty - Why SKU-Level Insight Will Supercharge Your Supply ChainSmall But Mighty - Why SKU-Level Insight Will Supercharge Your Supply Chain
Small But Mighty - Why SKU-Level Insight Will Supercharge Your Supply Chain
 
Insights on Procurement Data with Analytics Solutions from SAP
Insights on Procurement Data with Analytics Solutions from SAPInsights on Procurement Data with Analytics Solutions from SAP
Insights on Procurement Data with Analytics Solutions from SAP
 
Building a 21st century retail supply chain - the case for edi in retail -- ...
Building a 21st century retail supply chain  - the case for edi in retail -- ...Building a 21st century retail supply chain  - the case for edi in retail -- ...
Building a 21st century retail supply chain - the case for edi in retail -- ...
 
Beyond the Hype: Building a Sustainable Supplier Risk Strategy
Beyond the Hype: Building a Sustainable Supplier Risk StrategyBeyond the Hype: Building a Sustainable Supplier Risk Strategy
Beyond the Hype: Building a Sustainable Supplier Risk Strategy
 
Seagate
SeagateSeagate
Seagate
 

Recently uploaded

(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Data Science Jobs and Salaries Analysis.pptx
Data Science Jobs and Salaries Analysis.pptxData Science Jobs and Salaries Analysis.pptx
Data Science Jobs and Salaries Analysis.pptxFurkanTasci3
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...Pooja Nehwal
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一F sss
 
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAmazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAbdelrhman abooda
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)jennyeacort
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationshipsccctableauusergroup
 

Recently uploaded (20)

(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
Data Science Jobs and Salaries Analysis.pptx
Data Science Jobs and Salaries Analysis.pptxData Science Jobs and Salaries Analysis.pptx
Data Science Jobs and Salaries Analysis.pptx
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
 
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
 
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAmazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships04242024_CCC TUG_Joins and Relationships
04242024_CCC TUG_Joins and Relationships
 
Decoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in ActionDecoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in Action
 

Turn Data into Actionable Promotion Insights

  • 1. Turning Data into Actionable Information TradeSmart, Trade Promotion Intelligence There’s No More Excuse For Poor Performing Promotions Janet Dorenkott 440-899-3296 x225 janetd@relationalsolutions.com Karen Kurtzweil x239 karenk@relationalsolutions.com
  • 2. Confidential - for limited circulation only “Top 10 Companies on the Move” BlueSky Integration Studio “Best at integrating POS with Internal data” Weatherhead 100 Fastest Growing Businesses First Release of Oracle Developer of the Year Data Warehouse & BI Consulting 1996 - 98 1999 - 01 2002 – 04 2005 - 06 2007 - 08 2009 - 10 2011 – 12 2013-2015 “Data Warehouse of the Year!” BlueSky “Coolest New Technologies” DataStage ETL Best Implementors Award Company Background Informatica’s Partner of the Year Selects POSmart to embed in DSR Partnering to support DSMi 2014 NEO Software Assn. “Best Software”
  • 3. Confidential - for limited circulation only Lowes Kroger Costco Shipments Other POS data EDI/FF/txt/Access, etc Wholesaler/Dist Nielsen Submit Reports Most time spent gathering disparate data •G ather ing •Cleaning •Integr ating •Justifying ? Inconsistent reports lead to questionable decisions Carrfore Wal-Mart, Shiloh Retail Link, EDI/AS2 ? ? ? ? ? ? The POS Data Dilemma Ahold IRI
  • 4. Confidential - for limited circulation only • G a t h e r i n g • C l e a n i n g • I n t e g r a t i n g • J u s t i f y i n g What Makes CPG Data Cleansing So Challenging? Property of Relational Solutions, Inc. By Janet Dorenkott June 2015 Big Data, Omni-Channel & New Data Sources End User Requests Change Data Frequency is Inconsistent Data Formats Vary From Source to Source You Are at the Mercy of Retailer Decisions Constantly Changing Conditions POS is Not Always Available & May Cost Money Everyone Wants to See Data Differently Different Sources? Different Reliability Every Retailer Provides Different Data Elements Lack of Integration & Manageability
  • 5. Confidential - for limited circulation only Every Retailer & Data Provider gives Different Data Elements Date Time Units Price Store # In Transit OH Inv OH Qty In Warehouse On Order 9/16/2015 08:12:00 150 $3.20 #442 30 20 10 20 50 Date Time Units Store # 9/16/2015 10:14:06 122 #210 Retailer A Retailer B
  • 6. Confidential - for limited circulation only Aligning Different Week Start & End Dates Monday Tuesday Wednesday Thursday Friday Saturday Sunday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Saturday Sunday Monday Tuesday Wednesday Thursday Friday
  • 7. Confidential - for limited circulation only Different Sources, Different Formats EDI 852 EDI 867 SAP Retailer Portals AS2 Oracle TXT SQL Excel CSV How Do I get all these sources into 1 common database type? FTP Access
  • 8. Confidential - for limited circulation only Different Sources, Different Reliability Missing Data EDI Inconsistencies UPC Issues Portal is Down Re-Casts • Data was supposed to come in from CVS today! Where is it? • RetailLink is down! • Walgreens is padding UPC codes in the front with 2 digits! • Food Lion is padding UPC codes in the back with 1 digit! • Kroger wants us to buy data from Market 6! • Dollar General was missing 2 days from last month! • Target EDI came in 4 hours late!
  • 9. Confidential - for limited circulation only Different Retailers & Data Providers, Different Hierarchies Internal Category Brand Sub-Brand Item Product # Retailer A Category Sub- Category Brand Product # Product ID Sku Retailer B Category Sub- Category Item # Item Name Sku
  • 10. Confidential - for limited circulation only Frequency of Feeds Vary EDI Daily Syndicated Data Monthly ERP Data Every Second Currency Conversion Daily Daily POS Once a Month RMA Annually Plan Data When Available Weather Trends Quarterly
  • 11. Confidential - for limited circulation only Constantly Changing Market Conditions New Competitors New Retailers Trends New Laws Acquire a Company Economy Management Direction National Conditions Natural Disaster New Corporate Direction Retailers Partners Company switches data providers The company adds a new data source Retailer Contracts New CEO
  • 12. Confidential - for limited circulation only You Are Subject To Retailer Decisions Make Portal Changes Start Sending Inventory New POS Source Category Focus Changed New Buyer Update Contract Restrictions Policy Changes More Data Offered Opened New Stores Acquired Another Retailer
  • 13. Confidential - for limited circulation only End User Requirements Change I Need to see Target compared to Walmart Include Shipments in this Report How do I compare my sales with plans? We just bought new demographic data I need to calculate potential impact I upgraded our Nielsen contract We switched from SAP to Oracle I want to compare this with weather trends I want to compare POS from the retailer with POS from IRI
  • 14. Confidential - for limited circulation only POSmart Consistency • Easy Access to Information • Improved Productivity Streamline Data Gathering Synchronize, Integrate & Validate POS Wal-Mart/Shiloh EDI /AS2/Retail Link Promo/Forecasts Costco Nielsen Shipping Target IRI Carrfore EDI, AS2 Walmart Wholesaler/Dist Kroger/Market 6/ RSI/DunnHumby Productive Meetings Integration & Harmonization
  • 15. Confidential - for limited circulation only Military, Distributor Budget 3rd Party GL Forecasts Reports Scheduled & Cached Shipments SourcesRetailers WalMart Home Depot Costco Kroger/DunH Meijers Sam’s Distributors POSmart Integrate, Validate, Synchronize & Manage BlueSky Over 200 KPI’s Or Other BI Tool DW POS Integrator BIS EDI, Text, Flat Files, Access, Retail Link, Partners SAP, JDE, DB2, Oracle, JDA Users access via web 3rd Party Data: AC Nielsen/IRI Spectra/NPD, Market6, RSi Forecast Shipments, Promo, Vendor TradeSmart POSmart “Smart” Architecture OtherTPM BlueSky Analytics Power User BlueSky Viewer Casual Users or BlueSky XL Users Control Center
  • 16. Confidential - for limited circulation only TPM - TPO or TPI/TPA TPM  The upfront process of creating trade promotion plans. Applications include home grown solutions, SAP TPM, Siebel, Demantra, etc.  Weakness – Very little exposure to success factors – Relies on sales rep “hunch” factor – Little understanding of actual outcomes – Lacking true ROI analysis TPO  Choosing trade promotional activities & timing to predicted results & objectives.  “What if” Analysis  Learned Analysis  Only 1% of all CPG companies are actually implementing TPO – Low adoption rate due to skipping TPI. Complexities of gathering, harmonizing feeding back trade spend information TPI / TPA  A Necessary Step between TPM & TPO  Leverages an enterprise architecture.  Automates the integration & harmonization of various trade components  The intersection of plans, shipments and consumption as it relates to trade promotions  The ability to accurately analyze the outcomes of trade promotions including true ROI  The ability to understand whether or not promotions were properly executed and the amount of retail compliance  Provides a repository for all historical, multi-year analysis  Ability to feed results to other systems  Makes TPO Possible & Successful!!! TPI GAP
  • 17. Confidential - for limited circulation only What is TradeSmart?  TradeSmart leverages the Smart Solution Architecture with the automation, integration and harmonization of various trade components  Promotion Automation and Analytics solution.  The intersection of plans, shipments and consumption as it relates to trade promotions  The ability to accurately analyze the outcomes of trade promotions and compare to planning expectations across all retail segments  The ability to understand whether or not promotions were properly executed and the amount of retail compliance  The common repository for all historical promotions which enables multi-year analysis/comparison of trade spend initiatives  The ability to feed results to other systems – planning, supply chain, predictive, merchandising, etc.  TPI – Trade Promotion Intelligence
  • 18. Confidential - for limited circulation only Automate Integration & Harmonize into Data Model Plan Improvement Trade • Shipments • Products • Plans • Syndicated BlueSky PromoPro • Planning Data • Shipments • Consumption • IRI • AC Nielsen • POS • Master Data • Forecast Data • COGS • Other Source Data Capture Disparate & Complex Source Data TradeSmart Solution Architecture Relational Solutions, Inc. BIS TradeSmart Designed for fast access, Powerful Analytics, Easy KPI Dashboard
  • 19. Confidential - for limited circulation only Rule-based system. Allows for a streamlined process where ROI calculation is consistent and accurate Process driven capabilities allowing visibility to non-compliant events Insight into planned spending to retail execution by event or product is visible up the hierarchy Uses cost information to understand your true margins and contribution Provides visibility to historical pricing to protect against margin erosion Knowing “sell-through” and supply chain visibility by incorporating shipments Benefits of TradeSmart
  • 20. Confidential - for limited circulation only Benefits of TradeSmart (Cont.) • ROI: Measures effectiveness/efficiency of a trade promotion event • Promotion Effectiveness Index: Which promotions generate the largest incremental gains • Incremental Weeks: Promotion generated x additional weeks of sales • % Lift: Promotion drove x% increase in sales • Promotion Efficiency: % of promoted volume that was incremental to the brand/PPG • % Sell Through: Remaining inventory affects event ROI and forward buy. • Promo Event Tactics Analysis – Results indicate potential revisions to tactical mix to improve ROI. • Purchase Frequency Analysis: Optimize promo event timing, compliment the product life cycle.
  • 21. Confidential - for limited circulation only -Understand ROI for Wholesaler and Retailer -Know that Events are working for BOTH you and the customer. -Create Win-Win during JBPS (Joint Business Planning Sessions) with Retailers Relational Solutions, Inc. Winner for Retailer but not Supplier Winner for Supplier but not Retailer BlueSky Report for JBPS
  • 22. Confidential - for limited circulation only Follow our Relational Solutions Training Blog http://www.relationalsolutions.com/blog Join Demand Signal Repository Institute Group on Watch our Training & Video’s on  Relational Solutions Channel Follow POSmartBlueSky & JanetAtRSI on Follow Relational Solutions on Like Relational Solutions on Contact Janet Dorenkott 440-899-3296 x225 Janetd@relationalsolutions.com Connect with Janet on Stay Connected & Informed!

Editor's Notes

  1. Relational Solutions has been in business since 1996. Our back ground is in data warehousing and business intelligence. Over the years, we built business intelligence applications across all industries and then began focusing on consumer goods manufacturers in 1999. Around the same time we started development of our POSmart data model. That’s because we kept running into the same issues related to POS data and syndicated data. Calendars didn’t align, hierarchy’s didn’t align, different retailers used different terminology, and so forth. Our data model was designed in such a way that it would grow and change with the business needs of the company, the industry and the users. Our background in data warehousing led us to develop this flexible architecture because we know that once users start getting information, they want to see more insights and that typically requires us to bring in new data. So our knowledge in data warehousing really helped us develop this open, architecture that a company can constantly be growing in to. This is not a reporting tool that reports off one source and that you eventually outgrow. Our architecture is designed for companies to grow in to. You can start out small with a couple retailers and expand it based on your needs and budget. Over the years, we have been recognized for our industry expertise as well as our technology expertise. We were named TDWI’s data warehouse of the year. Oracle’s developers of the year. One of Consumer Good’s “Top 10 companies on the move.” We won Consumer Goods “Reader’s Choice” awards. IBM selected our solution to embed in their Smarter Commerce. Infosys embeds our solution in their “TradeEdge” application for emerging market data. SAP uses our POS cleansing solution for their Hana application. Most recently we were named a finalist in NEOSA’s “Best Software” category and just last month we were named as one of the “Most Promising Big Data Companies” by CIO Magazine. So you can feel confident in knowing you’re working with a highly experienced group of consultants with a sound solution.
  2. This slide depicts the data dilemma that consumer goods companies face. The data is there. You get it. You might even have the impression you’re getting too much data. But that isn’t the case. The issue is having that data in a usable and reliable format. The data comes in from so many different sources that it’s impossible to get the full value out of it. Most companies are using it just to produce the reports they need. They just don’t have the time to create new insights even though the data is there. Each one of these source provide information and potentially reports. But analysts spend an average of 80-90% of their time gathering and pulling together data. Inevitably, there are discrepancies in the reports and analysts are then stuck spending more time trying to figure out where the numbers came from. Not only is this a very tedious task but when people’s numbers don’t match, there is a lack of confidence in the data and rightfully so. But it wastes not only the analysts time but it also leads to wasted time on managements part when they argue over who’s data is right and could potentially lead to costly and incorrect decisions. On top of that since 90% of an analysts time is spent gathering, cleaning, integrating and justifying their reports. This is time that keeps analysts away from actually getting to analyze the data and gain new insights. This is why our enterprise solution offers companies a very fast ROI.
  3. This slide depicts the data dilemma that consumer goods companies face. The data is there. You get it. You might even have the impression you’re getting too much data. But that isn’t the case. The issue is having that data in a usable and reliable format. The data comes in from so many different sources that it’s impossible to get the full value out of it. Most companies are using it just to produce the reports they need. They just don’t have the time to create new insights even though the data is there. Each one of these source provide information and potentially reports. But analysts spend an average of 80-90% of their time gathering and pulling together data. Inevitably, there are discrepancies in the reports and analysts are then stuck spending more time trying to figure out where the numbers came from. Not only is this a very tedious task but when people’s numbers don’t match, there is a lack of confidence in the data and rightfully so. But it wastes not only the analysts time but it also leads to wasted time on managements part when they argue over who’s data is right and could potentially lead to costly and incorrect decisions. On top of that since 90% of an analysts time is spent gathering, cleaning, integrating and justifying their reports. This is time that keeps analysts away from actually getting to analyze the data and gain new insights. This is why our enterprise solution offers companies a very fast ROI.
  4. POSmart streamlines the cleansing and integration of all these various data sources and puts them into a common repository where the data is clean and reliable. It’s also in a format that’s designed for easy reporting. Reports can be automated to send to users and power users also have an easy to access database where they can do ad-hoc querying. The result is far more productivity both from the analysts position as well as more productive management meetings. In addition, you have more access to reliable information than you’ve ever had. This data will help you know more about your business, provide more value to your management, understand your customer’s better and provide more insights to generate more profits.
  5. The POSmart architecture is open. The data base is independent and can reside on Teradata, Oracle, DB2 and most others. If you can imagine everything on the left side of the white line exists at all our customers. This is just a sample of data sources, but you get the concept. On a nightly basis our BlueSky Integration Studio looks for new data. Any new data is then brought into our staging area where we cross reference the retailer data with your internal data, apply business rules, we align internal data with external data and we load the data into the POSmart data model where end users can easily access and query the data. Reports that were scheduled to run are then cached on the server so when end users come in in the morning, all their reports are already there and waiting for them. In addition, analysts are able to create new reports.
  6. TradeSmart leverages the Smart Solution Architecture. It leverages the automation, integration and harmonization of various trade components required to accurately measure trade spend ROI It is a promotion automation and analytics solution that actually lets you start measuring promotion performance as the promotion is going on. It brings together promotion plans, shipments and consumption as it relates to trade promotions. The promotion plans may be in Excel or they may be coming from applications like SAP TPM or Demantra or even Siebel or Prescient. The ability to bring together plans with shipments and consumption is what gives TradeSmart the ability to accurately measure ROI for both the manufacturer as well as the retailer. It offers the ability to not only accurately, analyze the trade promotions but it also lets you compare planning expectations across all retail segments Users can understand whether promotions were properly executed along with retail compliance TradeSmart provides a common repository for all historical promotions, enabling multi-year analysis and comparison of trade spend initiatives In addition results from TradeSpend can be fed into other systems such as planning, supply chain, merchandising, and so on.
  7. The TradeSmart Architectue leverages the Smart Solution Architecture. It brings in data from your trade planning along with shipments, consumption, master data, forecasts and cost of goods sold. In addition, it brings in your master data. It transforms all those sources into a common data type, aligns the data for internal reporting and retailer reporting and presents you with reports that show you how your promotions are performing. In addition, you’re able to create ad hoc queries and even compare promotions with historical programs.
  8. ROI = Based on TOTAL sales and/or INCREMENTAL sales (Methodology TBD) YOY – Example. A high ROI with low sales = an efficient promo event, but sales are not growing…why?. Tactical Analysis - CPI (cost per impression) is calculated tactics is compare efficiency tactics to Indicates what components of the tactical mix can be tweaked to improve ROI. Coupons – Preferred purchase requirement vs discount compare promo efficiency to compare promo results
  9. This report shows an example of the type of information you would want to present at a joint business planning session with your retailers. The second column shows promtions that were positive for the manufacturer. The 4th column show performance of the promotions for the retailer. The first column shows KPI’s with up arrows that show the promotions that were both successful for the retailer as well as the manufacturer. These are obviously promotions worth repeating.
  10. We would like to thank you all for joining us today. We invite you to follow our Relational Solutions training blog by going to our website at relationalsolutions.com. We also suggest you join the Demand Signal Repository Institute on LinkedIn. You can also see more training video’s on our Relational Solutions, YouTube channel. We ask that you follow Relational Solutions and Janet on Twitter, LinkedIn and Facebook and connect with us on LinkedIN. You are also free to contact us via phone and email. Thanks again for joining us and we look forward to your participation next Wednesday!