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Getting Insights from Big Data Getting Insights from Big Data

Getting Insights from Big Data - PowerPoint Presentation

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Uploaded On 2017-10-07

Getting Insights from Big Data - PPT Presentation

About Ironbridge Ironbridge Software has been around since 1985 Located in Chicago IL we also have an office New Jersey Started as a consultant for the Nielsen Company in the mid 1980s What do we do Ironbridge is both a software developer and consultant in the CPG industry ID: 593870

insights data ironbridge reporting data insights reporting ironbridge pos big management access demand client retailer syndicated category view software

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Slide1

Getting Insights from Big DataSlide2

About Ironbridge

Ironbridge Software has been around since 1985

Located in Chicago, IL we also have an office New Jersey

Started as a consultant for the Nielsen Company in the mid 1980’s

What do we do? Ironbridge is both a software developer and consultant in the CPG industrySlide3

Big Data or Data Science

“In the last couple of years, there is a new term for Big Data, now it’s called “Data Science”. I can all myself a Data Scientist which sounds a whole lot fancier than Big Data Geek.”Slide4

What is an INSIGHT?

Answer: Something I can take action on.

Bottom up not top downSlide5
Slide6

POS Data Issues

Fragmented category

1,000+ brands in department stores

3,400+ collectively in all channels

34 POS retailers

Different syndicated data providers

Department stores and

midtier

from NPD

FDMx

from IRI

Multiple upcs/skus for single itemMultiple vendors and different packagingVarious sizes/promotions by channelCompiling shipment and POS upcsNo single source for item file attributes, over 68,000+ upcsData disparityData extraction methods (EDI, Excel files, download from web access)Different formats (upc/sku, inventory, promo activity, WE dates)Different granularity (daily/weekly/monthly, total/store)Minimal IT supportOnly servicing department store dataCategory Management accessCategory data, not just vendorStrict limited data access standards mandated by Retailers

69 upcs for White Diamonds 1.0 oz !Slide7

Consolidation Benefits

Consolidated location of all data:

Retailer and Syndicated POS

Shipments and Retail Plans

Security:

Access limited by ID

Backed-up, following IT guidelines

Time efficiency:

No time spent on downloads and uploads by category manager

Aggregated totals available immediately

Consistent hierarchy view across all sources of data while maintaining retailer viewSlide8

Netbench

Benefits

SAAS solution doesn’t clog IT team

Ability to reload error files, process restatements

Ease of functionality in reporting tool

Effectively manage large amounts of data

Allows for rapid response in meeting changing Retailer and/or business reporting requirements

System is used across multiple customer channels and geographies (Canada & Europe)Slide9

Sample ReportingSlide10

Data Use and Insights

Dot com vs. Brick and Mortar reporting (account/brand)

Frequent reporting to adjust to strategy

Forecasting across all accounts

Allows for easier projection of launches

Store level analysis view and segmentation

Helps improve ST% on future displays/programs

Brand performance across channels

Direct spend to right customersSlide11
Slide12

Insights

Major Cost Savings

Our client is a manufacturer of salad dressings. Scheduling production of the different flavors is determined by the anticipated demand for each. The demand forecast had an accuracy rate of only 38%. Ironbridge built a multiple regression model with weekly sales history for 3 years and every trade promotion during that period. Then by plugging in the trade promotion plan for the next 6 months, we produced a new demand forecast. The model’s accuracy rate was 48%. Just that 10 point improvement enabled the client to schedule production more effectively and to avoid building an entirely new plant. Major cost savings.Slide13

Insights Slide14

Insights

Uncovering New Markets

Our client delivers bottled water to homes nationwide. They have a database of every home served with address and zip code. By comparing population density from the U.S. census data we were able to uncover underserved markets across the country. Further, since this is a premium service by comparing household income we were able to identify the best opportunities for new sales.

http://ibsw.com/insights.htmlSlide15

We bridge the gap between category management & Information Technology.

We are recognized experts in category management, syndicated data and large scale data management systems needed to solve your individual data needs. Slide16

Follow Ironbridge Software

www.ibsw.com