What are you getting for your Trade Dollars? Is it just a "cost of doing business", a way to pad your retailers margin? Let my team help you create WIN/WIN promotions with your retail partners
Databook White Paper - Precision Selling (Nov 2018)Anand Shah
This white paper distils two years of learning on how Professional Sales executives are using Technology to prioritize prospects, prepare for line of business meetings and present compelling solutions with value outcomes.
5 Ways to Improve Sales Performance with AnalyticsQlik
In this e-book, we'll look at some trends in the use of analytics by sales—including what's working and what's not—then look at 5 ways to improve sales performance with analytics.
Inventory management is key for profitability in retail. Disappointing customers by missing trends or not meeting their demand puts retailers in a serious deficit. This report covers .. why harnessing inventory data is critical for success, what KPIs are essential for effective inventory management, which POS reports all retailers should run and when, and more! Enjoy the report, and visit us at springboardretail.com for even more inventory management content.
Retail analytics (SAS programming,big data analytics)data-analytics
A TRANSFORMATIONAL JOURNEY SINCE 1999 TOWARDS IT TRAINING ADVANCEMENT, ACHIEVEMENT AND PLACEMENT.
TODAY WE ARE PROUD TO TELL YOU THAT, WE HAVE TRAINED MORE THAN 20,000 STUDENTS.
Databook White Paper - Precision Selling (Nov 2018)Anand Shah
This white paper distils two years of learning on how Professional Sales executives are using Technology to prioritize prospects, prepare for line of business meetings and present compelling solutions with value outcomes.
5 Ways to Improve Sales Performance with AnalyticsQlik
In this e-book, we'll look at some trends in the use of analytics by sales—including what's working and what's not—then look at 5 ways to improve sales performance with analytics.
Inventory management is key for profitability in retail. Disappointing customers by missing trends or not meeting their demand puts retailers in a serious deficit. This report covers .. why harnessing inventory data is critical for success, what KPIs are essential for effective inventory management, which POS reports all retailers should run and when, and more! Enjoy the report, and visit us at springboardretail.com for even more inventory management content.
Retail analytics (SAS programming,big data analytics)data-analytics
A TRANSFORMATIONAL JOURNEY SINCE 1999 TOWARDS IT TRAINING ADVANCEMENT, ACHIEVEMENT AND PLACEMENT.
TODAY WE ARE PROUD TO TELL YOU THAT, WE HAVE TRAINED MORE THAN 20,000 STUDENTS.
business analytics and its importance, marketing analytics definition and its importance, how marketing analytics helps to run the organization in effective and efficient manner.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
This slide introduces the topic of Marketing Analytics, impact of marketing analytics, Dashboard, ePOS, Assortment Planning, and Market Basket Analysis.
Youtube links in the slides:
MARKETING ANALYTICS:
https://www.youtube.com/watch?v=-oHGG5jJPHQ
DYNAMIC PRICING:
https://www.youtube.com/watch?v=cKPaIsOQslo
INTRO TO ePOS:
https://www.youtube.com/watch?v=7VVKtPge-zw
https://www.youtube.com/watch?v=XWuwlChR8c4
MARKET BASKET ANALYSIS
https://www.youtube.com/watch?v=sJWXgcZ-E2g
I have made a slide for a marketing analytics course that I have recently completed on Coursera. The slide covers topics such as:
different types of marketing analytics and their uses,
brand value & brand architecture,
customer lifetime value and its applications,
before-after and full factorial marketing experiments
and regression analysis.
When looking at Sales Analytics, where should you start? What should you measure? This session provides ideas on sales metrics, implemented in Power BI
Arun Gupta, Customer Care Associate and Group Chief Technology Officer, Shoppers Stop presented at the Premier Business Leadership Series 2010, http://www.sas.com/theserieshk.
With many retailers worldwide struggling to maintain revenues, how do you grow in such a tough competitive landscape? As a leading Indian retailer and pioneer in using technology, especially business analytics, Shoppers Stop is not only thriving but has helped revolutionise the retail sector. Gupta will share insights on using analytics to drive business value, reduce operational costs and provide better products and customer experience.
business analytics and its importance, marketing analytics definition and its importance, how marketing analytics helps to run the organization in effective and efficient manner.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
This slide introduces the topic of Marketing Analytics, impact of marketing analytics, Dashboard, ePOS, Assortment Planning, and Market Basket Analysis.
Youtube links in the slides:
MARKETING ANALYTICS:
https://www.youtube.com/watch?v=-oHGG5jJPHQ
DYNAMIC PRICING:
https://www.youtube.com/watch?v=cKPaIsOQslo
INTRO TO ePOS:
https://www.youtube.com/watch?v=7VVKtPge-zw
https://www.youtube.com/watch?v=XWuwlChR8c4
MARKET BASKET ANALYSIS
https://www.youtube.com/watch?v=sJWXgcZ-E2g
I have made a slide for a marketing analytics course that I have recently completed on Coursera. The slide covers topics such as:
different types of marketing analytics and their uses,
brand value & brand architecture,
customer lifetime value and its applications,
before-after and full factorial marketing experiments
and regression analysis.
When looking at Sales Analytics, where should you start? What should you measure? This session provides ideas on sales metrics, implemented in Power BI
Arun Gupta, Customer Care Associate and Group Chief Technology Officer, Shoppers Stop presented at the Premier Business Leadership Series 2010, http://www.sas.com/theserieshk.
With many retailers worldwide struggling to maintain revenues, how do you grow in such a tough competitive landscape? As a leading Indian retailer and pioneer in using technology, especially business analytics, Shoppers Stop is not only thriving but has helped revolutionise the retail sector. Gupta will share insights on using analytics to drive business value, reduce operational costs and provide better products and customer experience.
Leveraged data analytics to make informed decisions on transactional data, products purchased and customer behavior. Performed a descriptive and exploratory analysis with key deliverables.
Content marketing analytics: how to make your data work harder for your businessDaniel Smulevich
Presentation from Search London - July 2014.
The goal of our work is to understand the triggers behind new and existing customers content consumption and buying behaviour so we can plot the best course of action to drive demonstrable improvements in revenue.
Here is a 3-step process to do that.
Trade Promotion Optimization (TPO) can sharpen CPG promotion plans, pinpoint the new pricing sweet spots that maximize event lift and brand share and help retailers build bigger baskets and profits, stimulate categories, and retain more of the targeted shopper segments they value most.
How do you know if your company is ready to optimize trade promotions? First, consult our CPG Checklist: 5 critical points of self-assessment that show your readiness to gain competitive advantage through more intelligent trade.
Driving Marketing Efficiency In The Consumer Goods Business With Advanced Ana...Gina Shaw
"Information is the oil of the 21st century, and analytics is the combustion engine" – Gartner
A large percentage of marketing efforts in a consumer goods business has little to no impact on sales. One primary reason for low-yield marketing campaigns is the inability to leverage data. Success in the consumer goods industry largely depends on the speed and accuracy of decision-making.
This eBook will help you discover:
1. Challenges marketers face in in the consumer goods business
2. The current state of marketing analytics
3. The overview and importance of advanced analytics
4. Traditional analytics vs advanced analytics
5. Advanced analytics solutions use cases in the areas of
- Measuring marketing effectiveness
- Optimizing marketing and advertising spend
- Sales forecasting
- Product portfolio management
- Marketing mix modelling
6. Driving analytics adoption within your organization with AI
7. Case study: How a global CPG company reduced marketing spend by 5% with advanced analytics
8. How you can get started right away?
Business Intelligence (BI) for Recession on Digit Channel ConnectDhiren Gala
Business Intelligence (BI) is made for times like these! “When cash runs out that’s when thinking starts.” This statement is very true in downturn or recession times
- Sanjay Mehta on Digit Channel Connect
Data That Supports True Sales and Marketing AlignmentMarried2Growth
Sales and marketing alignment is elusive but worth it. In our Nashville Analytics Summit presentation, we share the business metrics and initiatives that drove 30% decrease in CAC and 20% increase in LTV.
Content marketing analytics: what you should really be doingDaniel Smulevich
My presentation from Digital Marketing Show 2014. #DMSLDN
A journey through web analytics processes, from setting up KPIs to integrating data sources and automating reports.
Many Mutual Funds firms are struggling to gain a better understanding of the Investors' needs and proactively build products that meet and exceed those needs. In this presentation we have attempted to highlight some of the inherent challenges, and provide a road map to a more clear insight.
To Further discuss this subject, please contact me at vatefi@gmail.com
Unlocking Growth and Retention Opportunities through Data Democratization.pdfRocketSource
Data democratization is the clarifying tool that’s critically required to truly tap into the power of an organization’s suite of North Star Metrics. Plenty of technology is available at an organization’s disposal to sharpen and bring into focus what’s happening beyond the corporate walls. However, with big data comes big problems, especially when teams fail to leverage and act on the high-level insights to unlock viable growth and retention opportunities far beyond the next quarter.
Revenue Operations Analytics: A Strategic BlueprintKwanzoo Inc
The true value in your KPIs is understanding how they complete the bigger picture of the customer journeys that drive the most impact for your business.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
1. Presented by Kristy Garrey
kgarrey@relationalsolutions.com
440-899-3296 x231
TradeSmart Case Studies
EPIC Returns aren’t just for the king!
2. Goals for Today
1. Define Data Repository
Challenges of Current State
Benefits of Ideal State
2. Review TradeSmart Architecture
3. Case Studies
3. Is this your data repository?
“We’ve got that”
Analysts can go get what they need
Has anyone seen the Wal-Mart sales I saved
from last year?
Have you downloaded the item master lately?
When is the latest IRI/AC Nielsen data
through?
Have the sales folks added any promotions?
Have the shipments been reconciled in the
system yet for last month?
Has purchasing updated the costs since the
last raw materials price increase?
Did Kroger run that promotion as planned? I
heard there may have been a truck delay
getting the order to their DC.
How many selling units of that item were on
that display?
Whose calendar should we use for this?
(Corporate, retailers, syndicated data
provider…)
It’s on the “shared drive”
How much time do you spend
playing “data detective”?
Who’s data/analysis is correct?
4. Gather all the pieces….
Are your Analysts bringing insights or delivering reports?
How many pieces of information are required to put ONE report together?
How long does it take to get each piece of information?
What does the data tell you?
When questions arise outside of regular reporting, can you answer them?
How long does it take to answer one off questions?
Does your sales team go “rogue” and make gut decisions because they data cannot be
compiled in time?
How much money does your company spend on data acquisition?
What business decisions are you able to make with the data?
How are you using data to drive sales growth or profitability for your company?
What’s driving this?
Can you get all the
information before
the “timer” goes off?
5. Military,
Distributor
Budget
Nielsen, IRI,
TD Linx, etc.
Promotions
Forecasts
Reports
Scheduled
Shipments
Sources
Retailers
WalMart
Food Lion
Costco
Kroger/DunH
Home Depot
Sam’s
Distributors
POSmartIntegrate, Validate,
Synchronize & Manage
BlueSky
Or Other BI Tool
Can feed other systems
POS
Integrator
BIS
EDI, Text,
Retail Link,
POL,
WorkBench
SAP, JDE, DB2,
Oracle, JDA
Users access
via web
3rd Party Data:
AC Nielsen/IRI
Spectra/NPD
Forecast
Shipments,
Promo, Vendor
TradeSmart
POSmart
An Enterprise Architecture
6. Incremental approach leads to overall data
consistency
A staging area is required to cross reference,
integrate and synchronize data
Star Schema’s are required for certain databases
Architect before loading cubes
Business rules are defined & agreed upon
Single source of information – The truth
database
Knowing what a sound architecture is
Architecture Fundamentals
Property of Relational Solutions, Inc.
7. Automated
Harmonization
& Integration
Dashboards
&
Analysis
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
Complex
Source Data
The Heavy Lifting is Done!
Relational Solutions, Inc.
Integration
Engine
TradeSmart
• ROI
• Lift
• Margin & Contribution
• Full Aligned & Accurate
• Updated as data comes in – no latency
• The TRUTH database!
8. Now that’s Trade Promotion Intelligence!
The ability to leverage an enterprise architecture. Automation,
integration and 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 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
Leverages a common repository for all historical promotions which
enables multi-year analysis/comparison of trade spend initiatives
Offers the ability to feed results to other systems – planning,
supply chain, predictive, merchandising, etc.
9. 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
Use cost information to understand your true margins and
contribution
Provide visibility to historical pricing to protect against margin
erosion
Knowing “sell-through” and supply chain visibility by
incorporating shipments
How do you know if you have
a Trade Intelligence system?
10. Fine Tune Your Promotions
• Group Promo PG’s into Events
• Create event at Retail
• Realign Promo PG’s dates and Events
• To align with sales
• Override base and incremental by Event
• Override base/incremental values when needed
• Allocate Spend to Units
• In order to not double count units sold, spend must
assigned to units
11. TPI Accuracy Makes all the Difference
Essential workflow interface to
allow fine tuning of promotion
alignment with shipments,
plans and consumption.
12. Case Study 1
The Marketing Team has completed
aligning all events and want to see which
ones had the best ROI. The post promotion
template report is needed to easily compare
aligned events against each other.
Relational Solutions, Inc.
13. - Displays each event with all KPIs
- Allows for total retailer promotion review across categories
- Allows for total category promotion review across Retailers
Relational Solutions, Inc.
BlueSky Post Promotion Analysis Template
KPIs & Measures:
Consumed Cases, BB/WW Case Rate, OI Case Rate, Pallet Rate, Scan Case Rate, BB/WW Charge, OI Charge, Pallet
Charge, Scan Charge, Lump Sum, Total Spend, ASM, Expected Spend, BB/WW Cases Charged, OI Cases Charged,
Pallet Cases Charged, Scan Cases Charged, Actual Promo Weeks, Average Wkly Base Cases, Non EDLP Base,
Incremental Cases, Spend per Incr Case, Expected Spend per Incr Case, % Lift, Actual Promo Retail, Profit Margin,
ROI, Original Estimated Qty, Retailer Profit Margin Dollars, ROI Dollars, Breakeven, Dead Net Unit, Case Pack, List
Price, Incremental Eus, Spend per Incr EU, Spend per Consumed Case…….
14. Case Study 2
The Marketing Team would like to see
which events had the best lift and achieved
the best ROI. A report charting those two
measures is needed to quickly visualize how
lift and ROI are related.
Relational Solutions, Inc.
15. - Understand what lift is needed to achieve positive ROI
- View which events achieved the best lift
- Identify quickly which events need to be looked into further
Relational Solutions, Inc.
BlueSky Lift % vs. ROI % Report
These 3 promotions had no lift and
only 1 had positive ROI. It appears
that the Family Love Chicken and
Rice 8 oz. promotions are not
performing well. Further analysis
will be required to make
adjustments for the future.
16. Case Study 3
The Marketing Team has been given
additional trade funds to use this year. They
need to determine which retailer and
promoted group would bring the best return
on investing additional funds. The ROI
Ranking Report is used to review all
promotions executed to date and which
ones could be repeated to drive sales.
Relational Solutions, Inc.
17. - Rank promotions across time, retailer, and promoted group to find the best ROI.
- Focus where to spend incremental trade funds to drive volume.
Relational Solutions, Inc.
BlueSky Post Promotion Analysis Template
18. Case Study 4
The Category Team is presenting its trade
promotion results to the retailer and needs
understand which promotions are working
best and which ones need adjustments. A
report with traffic lighting is needed to easily
highlight areas of importance.
Relational Solutions, Inc.
19. - Understand ROI for Manufacturer 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
Which are our Win-Win promotions?
20. Case Study 5
Marketing would like to determine whether
having a product on promotion cannibalizes
other products in its category. To do so, a
Bump Chart is required that depicts both
Volume and Price.
Relational Solutions, Inc.
21. - Understand if cannibalization is happening across Brands.
- How does price impact volume?
Buns are
cannibalized
when Biscuits
are promoted.
BUSINESS OBJECTIVE
Post Event Bump Chart
Relational Solutions, Inc.
22. Case Study 6
A Trade Marketing team is spending days
and days just to produce reports that show
how a few of their promotions are
performing. They cannot get an accurate
number because they cannot group events.
They have coverage of only 10% and have
no idea how the other 90% of promotions are
actually working.
Relational Solutions, Inc.
23. Event Alignment Report quickly identifies which promotions are effective.
• Base Volume Plan is consistently lower than Actual, forecast needs to be adjusted to reflect more
realistic sales projections.
• Event in W/E 2-Jun came closest to hitting plan targets despite incremental plan being off by 15k
units.
• Overall Events are generating sales gains and positive ROI.
24. Case Study 7
A Trade Marketing team wants to evaluate
how their promotions impact the Retailers
Category sales. Promotions that are a win
for the manufacturer but do not grow the
Category will not be considered a win for the
Retailer. A weekly trend report is needed.
Relational Solutions, Inc.
25. BlueSky Category Share Report
Mfg. Share
increased
WE 1/21/12
but total
Category
sales
declined ,
not a win
for Retailer
- Trend dollar and volume share over 52/53 week period to see
what effect your events have on Retailers Category sales.
26. Case Study 8
Marketing believes competitive activity is
eroding their promotional performance. To
evaluate if competitors are running
promotions at the same time your
promotions are running a Category activity
report is needed.
Relational Solutions, Inc.
27. In this example it appears that for several Events a competitor was running a promotion
concurrently with your promotion, negatively impacting the results of your promotion.
Measures: ACV, Actual Total Consumption Volume Units, Actual Share Units, Actual ROI w/o CMG,
Actual Pre-Trade Incremental Profit, Actual Incremental Profit w Fixed Trade Spend, Actual Net
Revenue
Competitor
Promotions
Your
Promotions
BlueSky Category Activity Report
- Visually track
where planned
and actual Events
occur over 52/53
week period.
- What tactics are
planned?
- Do competitors
run activity in
parallel?
- How profitable is
each Event?
28. What do we do now?
Evaluate Your Needs
What is your annual trade spend budget?
What is your company’s commitment to
improving trade spend ROI?
How much time is spent today evaluating
trade spend?
What is your coverage?
Start with a Roadmap
29. Start With a Roadmap
Understand current methods
Reporting, Data gathering, Number of users
Experience of users, Consistency among teams on metrix
Total number of promotions, Annual trade spend
Historical data available?
Level of granularity for data (consumer units or cases)
Type of data available (plan, consumption, shipment, COGS)
Do all departments speak the same language (Category Management/Sales/Finance/IT)?
Do you speak the same language as your retail partners?
Current PPA metrics used today
How are they calculated
How are they sourced (ie. ERP, Nielsen, IRI, DW, etc.)
Reverse engineer metrics (disassemble and analyze components)
What is current coverage
“Gap Analysis” between current method and “best practices”
Evaluate IT infrastructure
DW, Databases supported, BI Tools, Environmental needs (Dev, Prod, etc)
Staff skills and ability to manage PPA application
Lay out steps and milestones to get to an integrated best practices solution
Expected timeframe, Level of difficulty, Resources needed
Expected ROI and payback period of application
30. 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 on
Follow Relational Solutions on
Like Relational Solutions on
Contact Kristy Garrey 440-899-3296 x231
KGarrey@relationalsolutions.com
Connect with Kristy on
Stay Connected & Informed!
Editor's Notes
Many consumer goods companies invest in a lot of data. Often times they will buy data because it is available and their customers may ask them to use it some day. The data is there, you get it, based on the cost of data acquisition you may even believe you’re getting too much.
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 data source provides 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. It not only wastes the analysts time but it can also lead to costly and incorrect business 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.
The idea behind implementing an enterprise solution is to provide a significant ROI to the business.
The longer it takes for people to get answers to questions, the greater the risk involved. Risks include losing sales, a retailer dropping you, making a costly wrong decision, providing inaccurate information, compensating the wrong sales rep, negotiating the wrong discount from a vendor, etc. There are countless issues with having too little or inaccurate information. It all costs the company money.
If a decision needs to be made and all the accurate information has not yet been gathered, that doesn’t stop from the decision being made. Rather than having all the information necessary to make an accurate decision, they have to rely on hunch. There is a great deal of risk involved in making hunch based decisions
It is important in any case to have the proper data architecture in place that will provide you with a structure to easily add new data as well as provide you with accurate & reliable data from all the necessary data sources from the onset.
Companies need to consider competitors, the economy, the challenges & benefits.
Depending on the initiative selected first, your requirements will vary. However, there are certain measures we recommend that create very fast & measurable ROI for both the retailer & CPG manufacturers.
With raw material costs increasing, most companies have already cut costs in that area. Additionally, most companies have cut employee costs. The next highest area of spend for companies is Marketing & most companies cannot clearly identify which promotions are working & which aren’t. They also can’t clearly identify at which retailers they are working. Coverage is very low today. The bandwidth simply doesn’t exist for analysts to manually pull together all the needed information to learn about how all the retailers are doing for every promotion. For this reason, investment in integrating the right data will streamline this process. But certain data sources are required in order to determine what is working for both the retailer & CPG manufacturers.
Providing information to users faster will give decision makers “fact based” decision capability. Not only will it reduce the risks associated with guessing, it will improve the accuracy of their decision. It will also increase employee productivity. Time once spent gathering information will now be spent analyzing the information and providing MORE information to decision makers. Analysts can actually analyze information rather than spend time gathering it. There will be more information available than ever before and users will have the ability to discover trends and information never before available to them.
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. 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.
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.
Our TradeSmart application also offers an optional component called PromoPro.
PromoPro offers event details like event start and end dates, products at the brand, sub-brand or item level, store banners and tactics. It basically lets you do things like group promoted product groups into events to create a single event at the retailer. It lets you realign promoted product group dates and event with sales. Users can override base and incremental values by event when they need to. They can also allocate spend to units in order to not double count units sold.
Our PromoPro application allows the Marketing Analyst the ability to group and align promotional records into consumer facing events. This tool takes the heavy lifting off an analysts plate by visually bringing together sales, shipments, promotional records, and competitive activity into one screen. This enables the analyst to quickly make adjustments to promotional events like adjusting shipment and/or consumption window dates based on what happened as well as tweaking base volume where needed. Once promotional events have been aligned and managers have signed off on any adjustments, the data is committed and available in TradeSmart reporting.
Once the Marketing team has aligned and committed promotional records the Post Promotion Analysis Report allows them to view all the KPIs for all committed events across time. All retailers and product groups can be viewed in one place and each event record will be marked as either EDLP or HiLo.
This report shows an example of the type of information you would want to review for each event. Multiple years, promoted groups and events can be viewed in the same report. This can aide the analyst in identifying trends in product categories or retailers. Channels of trade can also be reviewed together to see if an offer worked better in the Drug Channel vs. Mass or Grocery. This report is the first step in the evaluation process to see if promotions worth repeating.
This report shows lift vs ROI. There were three promotions that did not achieve any lift, two of those also did not have any ROI (one actually was negative), one had positive ROI however you most likely will not want to repeat these.
This report shows all retailers and all promotions. Equivalized units are used to evaluate products of varying sizes fairly. The marketing analyst can select a promotion to run based on lift targets or ROI % desired. Another helpful metric is spend per incremental EU, the lower the value the less it cost to get volume lifts.
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 promotions 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.
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!