A RESOURCE SUPPLEMENT TO CGT MAGAZINE AGGREGATION, …

A COMPREHENSIVE LISTING OF SOLUTION

PROVIDERS THAT SUPPORT THE COLLECTION,

AGGREGATION, STORAGE, ANALYSIS AND

INTEGRATION OF VALUABLE DATA

PLUS: Industry experts further discuss how new and existing projects are impacting data and analytics initiatives.

D ATA & A N A LY T I C S S O L U T I O N S

2015

TECHNOLOGY SOLUTIONS GUIDE A RESOURCE SUPPLEMENT TO CGT MAGAZINE

SPONSORED BY:

2 cgt | april 2015 | consumergoods.com

technology solutions guide

2015 data & analytics solutions cHart

Company/Web Site produCtKey CG CuStomerS

unique FeatureS/beneFitS

1010datawww.1010data.com

1010data consumer insights Platform

•Coca-Cola•Procter&Gamble•RiteAid

1010data, a cloud-based analytical platform that combines highly differentiated datasets with powerful data discovery technol-ogy, allows users to uncover insight from large volumes of data quickly and inexpensively.

1WorldSyncwww.1worldsync.com

1Worldsync industry readi-ness monitor and scorecard solution

•Usedbythelargestglobalconsumergoodsmanufacturersandretailers

the 1Worldsync industry readiness monitor assists companies in the evaluation of product information, prior to distribution to customers and trading partners. the solution evaluates complete-ness of that data based on required attribute standards or trading partner specific requirements; and identifies incomplete or miss-ing information, in a simple, easy-to-use interface.

AFSTechnologiesInc.www.afsi.com

aFs data discovery

•Butterball•ConAgra•Perdue

aFs data discovery empowers the business user to easily find relevant insight anywhere, any time and on most devices to man-age their consumer goods business.

AppliedPredictiveTechnologieswww.predictivetechnologies.com

test & learn management system

•Anheuser-BuschInBev•Hershey’s•Procter&Gamble

aPt arms cPg companies and their retail partners with the capability to rapidly and reliably test various in-store initiatives (e.g., retail servicing, display changes, etc.) to understand which initiatives work, which ones don’t, and how they can tailored and targeted to be rolled out with maximum impact.

AtlasTechnolgyGroupwww.atlasdsr.com

amP (assortment modular Planning)

•Confidential

only end-to-end solution available that offers 100% transparency in the assortment process and can be customized for specific needs and rules by category. automated modular process with the human element.

ClearStoryDatawww.clearstorydata.com

clearstory data

•Coca-Cola Enterprises•Dannon•DelMonte

clearstory data has pioneered a new solution for fast-cycle analysis on more data sources that lets business users discover insights faster and present a clearer data story of what’s happen-ing in the business. every analysis starts with a business ques-tion, and clearstory’s solution helps expedite reaching answers spanning internal and external data sources that are blended fast into a holistic view to reach answers the business can intuitively understand and act on.

dunnhumbywww.dunnhumby.com

customer science•Coca-Cola•Kroger•Tesco

World-class capabilities, built and operated by the smartest people, powered by exclusive data and media assets, and driven by an unparalleled passion for loyalty.

Note: Participating companies identified only their primary solution in this space. Visit company web sites for info on additional solutions.



consumergoods.com | april 2015 | cgt 3



EnterraSolutions,LLCwww.enterrasolutions.com

enterra cognitive reasoning Platform

•Conair•McCormick

enterra designs and implements enterprise cognitive systems, which use cognitive computing — a form of artificial intelligence — to help large companies automate and continuously optimize processes in ways that were never before possible, transforming the way they work and interact with their ecosystem partners.

FractalAnalyticswww.fractalanalytics.com

SEE AD ON PAGE 30

custom predic-tive analytics and visual story-telling

•Colgate- Palmolive•Kimberly-Clark•Procter&Gamble

serves cPg companies in delivering insights, impact and in-novation to solve problems in customer loyalty and analytics, integrated marketing effectiveness, big data and visualization and supply chain.

Gladsonwww.glason.com

Product con-tent databases; content manage-ment, Hosting & distribution

•GeneralMills•Kimberly-Clark•Unilever

gladson delivers the most comprehensive product content solu-tion on the market today by combining the largest database of consumer product images and information with high-impact store optimization services.

HybridIntelligencewww.hybridintelligence.com

FP&a, sales analysis

•Confidential

the Hybrid intelligence advantage: exclusively focused on consumer goods companies; the right balance of software and service in the proportions needed; proven ability to do it quickly and to scale up; plays well alongside existing enterprise appica-tions and tools; unlike solutions from large software companies or implementations by big consulting players.

InteractiveEdgewww.interactiveedge.com

XP3 suite - data analytics, Presentation & reporting solution

•BigHeartPetBrands•Mondelez•NestléUSA

Providing customized and actionable insights through data driven presentations and reports for account managers is time consum-ing. Full integration with ms-office allows organizations to deliver best practice category and shopper analytics that are easily cus-tomized resulting in improved collaboration and increased sales.

iriwww.IRIworldwide.com

Price and trade advantage

•HillshireFarms•ConAgra•Starbucks

iri helps clients enhance their price and promotion planning at the strategic and tactical level. iri combines store-level data, ana-lytic models and interactive tools to support clients of any size.

JDASoftwareGroup,Inc.www.jda.com

Performance management and Business analysis

•Associated Wholesale Grocers•GPI/CarQuest•HarrisTeeter

Jda’s integrated solutions span the supply chain from materials to the consumer. Benefits include increased visibility for supply chain metrics, dashboards and predictive analytics, not available in traditional reporting, and labor savings from consolidated data collection and reporting infrastructure.







LumiDatawww.lumidata.com

solys demand intelligence solution

•Church&Dwight•Hershey’s•L’Oréal

solys transforms retailer data into revenue-generating insights. meets the retailer-specific metrics and business requirements each retail team needs to analyze, advise and execute more strategically. Best practices reporting suite for sales, category, promotion and forecast management.

Manthanwww.manthan.com/cpg-solutions

SEE AD ON PAGE 24

demand signal management from manthan

•Cargill•Crocs•Starbucks

demand signal management from manthan is a powerful inte-grated analytics system that creates a single ‘point-of-truth’ about the shopper. the most complete solution available, manthan dsm integrates and synthesizes multiple, disparate data sources – including unstructured data and shopper insights – to drive actionable, real-time insights faster across the cPg organization.

Market6,Inc.www.market6.com

SEE AD ON PAGE 26

market6 Foundation

•AnheuserBusch•Procter&Gamble•RedBullUSA

market6 Foundation is the only retailer/supplier collaboration solution which has been proven to work at scale; Kroger and 650 suppliers have used market6 since 2012 to collaborate together.

MicroStrategy,Inc.www.microstrategy.com

microstrategy enterprise-ready analytics

•adidasGroup•DrPepperSnappleGroup•McCainFoods

microstrategy’s enterprise-grade analytics enables organiza-tions to explore their data in rich, interactive visualizations. our customers are able to share real-time, accurate business insights with 1000s of users on any device.

Oraclewww.oracle.com/us/industries/consumer

retail and con-sumer insights industry solution

•Clorox•LandO’Lakes•PepsiCo

Broad and deep support spanning consumer engagement, retail demand signals, and complete sales, trade management, catego-ry and operations insights. demand driven planning and action-oriented market execution with enhanced customer collaboration.

Nielsenwww.nielsen.com

revenue management and optimization

•Confidential

nielsen’s revenue management and optimization encompasses insights to activation with retail partners. the end-to-end solution combines the best data and predictive analytics with an inte-grated cloud-based platform and consulting to deliver profitable growth.







Orchestrowww.orchestro.com

orchestro tango Platform

•KeurigGreenMountain•Newell Rubbermaid•TheScottsMiracle-GroCompany

orchestro’s tango is a saas-based platform for demand analytics, delivering true cross-retailer insights. We drive in-store execu-tion decisions through our proprietary sensing applications to increase promotional roi and on-shelf availability.

Predictixwww.predictix.com

Forecasting & supply chain

•CrateandBarrel•TheHome Depot•Kiabi

We provide predictive and prescriptive analytics solutions that tap the unlimited computing power of the cloud to help retailers and brands solve the toughest problems in planning, forecasting, merchandising and supply chain.

Reflektionhttp://reflektion.com

retail 1 to 1 personalization and customer-centric analytics

•Converse•Disney•Uniqlo

reflektion’s 1 to 1 personalization technology analyzes each visitor’s digital behavior, applies machine learning algorithms to deliver on-target digital shopping experiences in real-time, result-ing in increased revenues by over 20%.

RelationalSolutionswww.relationalsolutions.com

Bluesky analytics•GlaxoSmithKline•JMSmucker•LindtChocolate

Bluesky analytics offers alerts that require immediate attention. Power users create interactive reports that pull together data from multiple sources. insights are delivered automatically showing sales across retailers, down to the store level, compared with shipments, promotions and more.

RetailSolutionsInc.(Rsi)www.retailsolutions.com

rsi’s retail intelligence platform

•Nestlé•Procter&Gamble•Unilever

rsi turns retailer data into opportunity – in the store and on the shelf. it collects billions of daily Pos records from 120 major retailers then applies a proprietary process that validates, harmo-nizes, enriches and formats the data for optimum analysis and real-time action.

RetailVelocitywww.RetailVelocity.com

Velocity retail analytics and execution

•Hanesbrands•Mattel•Revlon

retail Velocity has 300+ out-of-the-box retailer connectors, 20+ years of experience, certified integration with saP for full supply chain planning from forecast to consumption. it has an enterprise-wise solution with the largest implementations in the industry and the best-in-class retail execution and optimization practices.







SalientManagementCompanywww.salient.com

salient collabora-tive intelligence suite 5.7

•Confidential

salient offers high performance analytics solutions for large and complex enterprises – scaling to billions of rows, consistently performing at peak speed (97% of responses take less than 3 seconds). designed for the non-technical user, our technology democratizes information and creates collaboration across the enterprise.

Sapwww.sap.com/solutions/indus-try/consumer.html

saP Business- objects Business intelligence solutions

•Beiersdorf•Colgate- Palmolive•MolsonCoors

With saP Businessobjects business intelligence solutions cP companies can be first to market with innovative products, maxi-mize promotion roi and optimize supply chain efficiency across the entire business network.

SaSwww.sas.com

sas for demand-driven Planning and optimization (sas ddPo)

•Coca-Cola•Kellogg’s•Nestlé

using patented capabilities, sas generates accurate forecasts and optimized distribution for structured, automated large-scale new product forecasting, multiechelon inventory optimization, and inventory autoleveling.

SequoyaAnalyticswww.sequoya.com

Price & Promotion Key

•Johnson& Johnson•MarsChocolate•Pernod-Ricard

sequoya analytics modeling methodology includes the influence of competitive activity in addition to the normal price and promo-tion variables. this provides more advanced and accurate predic-tive capabilities and roi insights by analyzing true net brand and category performance drivers.

SetSightwww.setsight.com

setsight, cloud-based retail ana-lytics solution

•GeneralMills•GeneralElectric•Timex

cloud based, over 200 clients, collect and upload data for our clients, work with over 30 u.s. retailers, provide a free proof of concept with prospects own data.

SilvonSoftware,Inc.www.silvon.com

stratum

•HarperCollinsPublishers•SorrentoLactalis•RedGold

stratum is the only end-to-end Bi solution available for cPg busi-nesses. its built-in data management tools and packaged analytics make it easy for users to gain key insights from data.







SPI(SoftwarePara-digmsInternational)www.spi.com/shiloh

SEE AD ON PAGE 28

shilohliVe•Energizer•GlaxoSmithKline•Nestlé

retail data analytics platform, delivered saas, in a secure cloud environment, accessible from any mobile device. data loading, maintenance and 24/7 training/support are included. Powerful technology to maximize your sales at retail.

StiboSystemswww.stibosystems.com

master data management

•Kellogg’s•Kimberly-Clark•KraftFoods

steP provides cross-channel consistency by linking product and customer data, suppliers and other organizational assets. this enables businesses to make more effective decisions, improve sales and build shareholder value.

TeradataCorporationwww.teradata.com/industry-expertise/consumer-goods

applied analytics for cPg

•Coca-Cola•Nike•Procter&Gamble

teradata is the world’s leading analytic data solutions company, focused on integrated data, advanced analytics, and cloud-based business solutions. teradata’s innovative products and services deliver business insights that enable organizations to make the best decision possible.

TIBCOSpotfirewww.spotfire.com

tiBco spotfire analytics

•GE•GeneralMills•Procter&Gamble

interactive analytics, data visualization and predictive capabilities to help companies identify categories/products generating high-est return; structure pricing/promotions to maximize profitability; save on promotion/campaign spend: millions in top- and bottom-line value.

ToolBoxSolutionswww.toolboxsolutions.com

1screen•Energizer•Nestlé•PepsiCo

1screen is a business analytics solution that provides flexible, insight-driven, retail performance. delivering role based, on de-mand, actionable insights in seconds with operational compliance and proven business process.

Verixwww.verix.com

analytical applications for commercial operations

•Procter&Gamble

analytical applications for commercial functions, intelligent Busi-ness alerts (iBas), detect problems and identify opportunities. From predicting and eliminating out-of-stock situations to analyz-ing market share and inventory, geared to significantly enhance effectiveness and productivity.


consumergoods.com | april 2015 | cgt 2 5

2 0 1 5 d ata & a n a ly t i c s s o l u t i o n s


CliCk here for Chart

As we deliver better-organized and visual information to executive decision makers, big data will drive more strategic initiatives such as where to play and how to win.

— John larocca, Fractal analytics

QThe term “Big Data” now seems to have negative connotations. What has changed? are data related

initiatives seen as less strategic?

larocca: the moniker of big data carries a bit of hyperbole, driven largely by vendor market-ing and the media’s coverage of privacy concerns. the overuse of big data significantly undermines its real potential, implying that you don’t need expertise or hypoth-esis testing because the software will tease out the story in the data. However, crunching data alone will not solve any problem. the re-turn on investment (roI) from big

data comes by enabling subject matter experts with clean, reliable and well-organized data so they can find and test action patterns.

Whether the intention is to drive tactical actions such as which customer, which offer, or which message, the underlying aim is to support strategic objectives to in-crease sales and reduce cost in the supply chain. As we deliver better-organized and visual information to executive decision makers, big

data will drive more strategic ini-tiatives such as where to play and how to win.

Wheeler: data is meaningful only if it can be monitored and mea-sured, and used in a timely fashion to impact real business decisions and results. As consumer packaged goods (cPg) organizations have struggled to develop a business case and roI to acquire costly data sets, the big data phenomenon has

tended to leave a bad taste in the mouths of cg executives. It’s easy to see why. the problem is that big data too often begins as an It-led discussion, when in reality these initiatives should start with a clear business strategy grounded on how to strategically use data. the essence of big data is about how massive new data sets (e.g., un-structured social media data) can be analyzed and harnessed in real time to make better business decisions, faster. that’s why the term “Fast data” is now emerging as a more accurate descriptor of big data.

B r i x i u s : Big data is emerg-ing from what gartner calls the

the state of Data & analytics in cG

Experts from Fractal analytics, Manthan, Market6 and sPi offer thought leadership for consumer goods (cG) manufacturers that are wading through the big data hype to find the best sources for true business opportunities.

continued on page 27

John larocca Practice Head, CPG & Retail, Fractal Analytics

nathan Brixius Vice President of Analytics, Market6, Inc.

KirK W. WhEElEr Executive Vice President and GM, Global CPG Practice, Manthan

Britt FoGG Senior Vice President, Product Operations, SPI (Software Para-digms International)

r o u n D t a B l E P a r t i c i P a n t s :





“trough of disappointment”. skep-tics point to the difficulties organi-zations have had repeating early successes by google, Amazon, and netflix due to immature tools and disorganized data. Learning from these disappointments, big data tools are maturing in their breadth and ease-of-use, and organizations are treating data as a valued asset. As a result, serious players in most industries regard data analytics as imperative. In market6’s position as the retail analytics market leader, we’re helping retailers and sup-pliers alike dig deeper to produce forward-looking insight on both big and small data. the key is to structure internal and external data with predictive insight, packaged in a way that addresses real business problems. Hype is slowly giving way to real results.

Fogg: In our business we see that companies are now very aware of the need for big data and extracting the insights that it can provide to move the business forward. What commonly happens is big data proj-ects are undertaken without clear goals and deliverables. In most cas-es, there’s an internal proof of con-cept that has not been well defined or focused on solving the problem. the initial sell-in is strategic in na-ture, but the lack of support for tacti-cal steps to reach the strategic goals is a barrier to success.

once a project is undertaken, no one seems to know exactly how to engineer it to solve the problems and meet objectives. When this happens, everyone is disappoint-ed and the project dies on the vine and future big data projects never come to fruition.

Qhow have existing data and analytics projects been im-pacted by renewed inter-est in advanced analytics?

are companies integrating new data types and business use cases into existing infrastructures or cre-ating more silos?

larocca: Analytics is the latest trend among leading companies who seek a sustainable competi-tive advantage. data-driven deci-sion makers are moving toward advanced analytics to diagnose, predict and optimize outcomes. to-day’s decision makers want more than static reports describing, “what happened” — they expect self-serve applications where they can explore “what it means” and “what they should do about it”. today’s leaders expect actionable and consistent decision support that scales across the enterprise.

With different business require-ments and data collection ap-proaches, silos create inefficiencies

for analytics teams to incorporate new data and deliver breakthrough decision support at scale. data-driven companies are identifying synergies across use cases and breaking down silos to create a centralized approach to connect and transform data sources, granu-larity, formats, and markets. the result is a rich environment to de-velop, test, scale and measure new analytics approaches that drive competitive advantage for more business users.

Wheeler: While there is grow-ing interest in advanced analytics, most cPg companies (outside of a select few) continue to be incon-sistent in driving real business im-pact out of analytic projects across multiple functional areas. more companies are trying to adapt new technologies and methodologies to advance their analytic journey but frequently are hampered by organizational inertia and a lack of a cohesive long-term analytics and data strategy. experimenta-


the key is to structure internal and external data with predic-tive insight, packaged in a way that addresses real business problems. Hype is slowly giving way to real results.

— nathan Brixius, MarKEt6





tion is great as a starting point, but cPg organizations are still chal-lenged to show systemic value out of their analytics investments. the fact is, it’s difficult to demon-strate roI without treating analyt-ics and data as true strategic func-tions. As such, cPg companies need to create 3 to 5 year strategic roadmaps that clearly outline the path of the desired analytic out-comes at the organizational level (and not just individual project outputs). these roadmaps must include the resource, budget and human capital needs required to achieve the vision.

Brixius: A key development is the growth of predictive analyt-ics: modeling data to understand future outcomes. Business intel-ligence reporting on the past re-mains valuable but is insufficient in this new world. market6’s cus-tomers rely on market6’s sales forecasting to inform supply chain decisions more deeply than ever. this demand for more has driven

deeper innovation in these areas. similarly, the current data visu-alization boom means that data and analytics projects must pro-vide clear insight through charts, graphs, and interactive content. the impact is also felt by inspiring projects that address new scenari-os, for example financial planning and budgeting. A focus for mar-ket6 is using advanced analytics to enable collaborative scenarios: breaking beyond not just division-al silos, but organizational ones too. In the cg world, suppliers and retailers depend on each other to be successful. shouldn’t analytics address this reality? the answer is obvious.

Fogg: renewed interest in ad-vanced analytics, and all of the potential benefits, seems to push companies into taking action be-fore they are properly prepared. the urgency to do “something” creates hasty decisions and many times results in the opposite out-come than intended.

companies are willing to invest some money and resources for data analytics tools, but not to the extent that they should. the first path that is normally taken is to try to utilize their existing infrastructure. existing infrastructures are rarely prepared for the volume of data and never prepared for the velocity. this bottle necking effect often creates or leads to new challenges in processes, ad-ditional silos of data, more manual analysis using spreadsheets and the like. the goal is to gain a broader sharing of the data and insights for all areas of the company. this takes a well-architected, supported plan with tangible goals.

QWhich data types and sources are most valuable to cg data and insights initiatives? how are they

being leveraged? how is social media data best managed?

larocca: Which data is most valuable depends on your goals

and ultimately end user needs. data is more valuable only when it gives you a more complete picture of your customer, their behavior and the influencers of that behav-ior. there is no shortage of valuable data, but there certainly is a short-age of data-driven insights that drive impactful business decisions.

social data is the shiny new toy with great potential in cg because it serves as a bridge for manufac-turers to engage with consumers directly to better understand prod-uct and brand perceptions, as well as insights into retail channels. social data is more accurate and timely than traditional sources, giving manufacturers and retail-ers nearly real-time consumer in-sights to drive innovation, adver-tising, pricing, and promotions.

Leading companies integrate social data with customer acquisi-tion and customer management, creating a master data manage-ment process that enables a cross-channel personal relationship with each consumer.






data relative to supply chain is generally the shortest path to roI, therefore making it the most valuable.

— Britt FoGG, sPi

Wheeler: cPg companies have been using syndicated data and retailer Pos data for many years to manage key areas such as pric-ing and promotion effectiveness. But in today’s highly complex and competitive cg market, cPg orga-nizations need to go beyond these limited data sources to generate actionable insights that help to drive real-time business decisions and activate the shopper’s jour-ney. For example, cPg companies are now starting to use data from multiple sources like shopper pro-files, digital couponing, consumer product reviews, gPs and location tracking, and social media. this data enables cPg marketers to ef-fectively target the right shoppers with the right promotion, product and value proposition. smart cPg marketers are also using unstruc-

tured data like in-store videos and image recognition technologies to dramatically improve in-store ex-ecution. In addition, cPg compa-nies are leveraging social media to obtain valuable shopper feedback as well as provide input in driving new product innovations.

Brix ius: understanding and optimizing the path to purchase is the goal of every cg player. this involves combining a variety of data sources, some internal and others external. these include traditional sources such as retail store sales data, distribution cen-ter and supplier data, promotional and pricing data. the quality and granularity of such sources contin-ues to improve. At market6, we’re marshaling external sources such as real-time weather data to pro-

vide further insight. An upcoming snowstorm affects store sales in predictable ways, so weather data combined with smart analytics can lead to increased sales and fewer supply chain headaches. social media data is available from a va-riety of sources, and can be used both to augment existing sce-narios (such as using sentiment analysis to evaluate promotions) and as new ones such as segment analysis. the real-time nature of such sources is exciting and will lead to new cg innovations.

Fogg: data relative to supply chain is generally the shortest path to roI, therefore making it the most valuable. In this data, there is almost ALWAYs “low hanging fruit” to be harvested. the chal-lenge has always been and always will be the volume, velocity, and

integration of the multiple sys-tems sourcing this data. this is exactly where big data technology can provide solutions.

social media generates a great deal of unstructured data that is most often utilized in marketing initiatives. this data has huge value as an early sensing tool for supply chain and manufactur-ing. the opportunity lies in trans-lating this data into actionable insights and delivering it in the right form, format, and language so it can have an impact on exe-cution at all levels. In most cases the execution processes can’t re-spond fast enough. this creates new pressures for the organiza-tions to drastically improve their ability to quickly react to demand sensing that’s near real time for brick and mortar and is real time for online retail.

cPg companies are leveraging social media to obtain valu-able shopper feedback as well as provide input in driving new product innovations. — KirK W. WhEElEr, Manthan

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A RESOURCE SUPPLEMENT TO CGT MAGAZINE AGGREGATION, …