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Inspire 2014 – Crossmark: Inside the (r)Evolution
 

Inspire 2014 – Crossmark: Inside the (r)Evolution

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How is analytics defined in your company? More importantly, how are YOU driving action through insights? Data is no longer a cost – it is an asset. Organizations can establish competitive ...

How is analytics defined in your company? More importantly, how are YOU driving action through insights? Data is no longer a cost – it is an asset. Organizations can establish competitive differentiation and at the same time maximize their ROI on data assets by coupling them with the right people, processes and tools. Alex Siskos will share an industry perspective on the analytics paradigm shift at Crossmark, which will cover everything from the change management journey to the data and tool investments, and the analytics they aspire to optimize in Fast-Moving Consumer Goods (FMCG).

Alex Siskos, VP of Business Insights, Crossmark

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    Inspire 2014 – Crossmark: Inside the (r)Evolution Inspire 2014 – Crossmark: Inside the (r)Evolution Presentation Transcript

    • #inspire14 inside the rEvolution... Alex L. Siskos Insights Master Chef CROSSMARK
    • #inspire14#inspire14 Destinations Destinations Destinations Destinations Destinations Destinations “Clients often ask us, what do we strive to achieve with the Insights function at CROSSMARK? The answer is quite simple… we strive to lead with insights and earn the status of indispensable partner”
    • #inspire14#inspire14 The Analytics Paradigm Shift at CROSSMARK AltTab #inspire14
    • #inspire14#inspire14 Our Tipping Point
    • #inspire14#inspire14 By 2017, over 50% of analytics implementations will make use of datafrominstrumentedmachines, applications and/or individuals By 2015, all BI vendors will shift from reporting- centric to analysis-centric BI platform offerings By 2017, you won’t be able to distinguish what an IBM- developed from what CROSSMARK offers to the market Various Q1 2014 Publications on BI and Analytics Platforms Prognostics
    • #inspire14#inspire14 Photo by Food Thinkers - Crea ve Commons A ribu on-NonCommercial-ShareAlike License h p://www.flickr.com/photos/43351991@N04 Created with Haiku Deck Photo by Three Points Kitchen - Crea ve Commons A ribu on-NonCommercial-ShareAlike License h p://www.flickr.com/photos/53054235@N03 Created with Haiku Deck Photo by djwtwo - Crea ve Commons A ribu on-NonCommercial-ShareAlike License h p://www.flickr.com/photos/40761412@N00 Created with Haiku Deck Photo by Image Source - Ge y Royalty-Free License h p://www.ge yimages.com/Corporate/LicenseAgreements.aspx Created with Haiku Deck
    • #inspire14#inspire14 It Starts With a Unique Perspective on Data We continuously and obsessively assess the source and purpose of each ingredient we buy. Photo by Food Thinkers - Crea ve Commons A ribu on-NonCommercial-ShareAlike License h p://www.flickr.com/photos/43351991@N04 Created with Haiku Deck = Each data point is treated as an information ingredient Rather than a syndicated line item investment.
    • #inspire14#inspire14 A Paradigm Shift in Analytical Processing * Sourced from our Analytics Optimization partner IBM 2.5 quintillion bytes of data are generated each day* 92% of all data in the world is <2 years old *  Our partners of choice & lead Gartner’s BI Platform Magic Quadrant  “We are able to ingest, blend and digest data from ANY source… without complex, time-consuming IT engineering efforts… within a forward-thinking analytic platform” Recognize the high-volume, high-velocity, and high variety of your industry’s information ingredients and invest in modern forms of data-mining and analytic processing technologies.
    • #inspire14#inspire14 Simple, Thorough & Impactful Framework What did they buy? What will they buy? What do they want?
    • #inspire14#inspire14 Refining our Agile Insight Generation Process CROSSVIEW  Executive Overview  Market & Account Comps  Trip & Basket Insights  Volume Decomp 1. We continuously refine, retool, and re-think our tools of the trade… 2. We extract only the pertinent data with practical value to feed our joint business planning agenda:  Pricing Trends  Promotional Efficiency  Distribution Opportunities  POG Insights  Forecast Alignment 3. To ensure that we lead with insights in every one of our interactions together
    • #inspire14#inspire14 inside the rEvolution... CASE STUDY 2
    • #inspire14#inspire14 Retail Execution Dashboard – “Need it now!” Situation Summary CASE STUDY 2 Execution Data Point-of-Sale Data Line-of-Business Business Rules ChallengeSolution • Long delays between when data is gathered from field to when its available to BI • Manual blending required • Store numbering systems and data delivery methods vary between vendors (email and vendor API) • BI lacks visibility to LOB business rules • No obvious linage to POS/Execution data • Alteryx pulls data within 24 hours of availbality • Blends data and automatically refreshes the dashboard • Zero manual intervention • Alteryx ensures store number consistency across vendors • Streamlines consumption and combining of data from multiple sources and delivery methods • No manual intervention • Combines POS/Execution data with LOB business rules to create single, consistent view of the business • Reduces dependency on manual spreadsheets • Flexibility to evolve the logic in the future
    • #inspire14#inspire14 Solution Sounds So Very Simple…And It Is!! Execution Dashboard LOB Business Rules Point-of-Sale Data SQL XLSX Vendor 1 Vendor 2 FTP TXT SQL CROSSMARK DW Crossmark Line-of-Business Execution Data Daily Updates Provided via Alteryx Server CASE STUDY 2 Insights & Alteryx Line-of-Business Client
    • #inspire14#inspire14 Inside the Data Flow…Mess PDW • Fact_RetailExecution • Dim_SalesTrakProject • Dim_M3Project • Dim_Store • Dim_Team • Dim_WorkType • Dim_Associate • Fact_SurveyResponse PDW_Blend. yxmd (7) BillRates.xls PDW_Alteryx. yxmd *Maintained by IT *Runs nightly • Fact_RetailExecution • Dim_SalesTrakProject • Dim_M3Project • Dim_Store • Dim_Team • Dim_WorkType • Dim_Associate • Fact_SurveyResponse (1) PDW_Alteryx.yxdb *Maintained by BI *Runs nightly (6) Client Data Dump.xls *As needed *Prepared monthly (BOM) (2) TDP.csv *Emailed from Nielsen *Saved to network folder every Sunday? *2 weeks behind POS_Aggregate .yxmd *Maintained by BI *Runs weekly (3) RSI.csv Kroger | Safeway Target | Walmart *Saved to network folder every Sunday? RSI_Store_Nu m_Cleanup.y xmd (4) StoreMaster .xls *Maintained by BI *Runs monthly? (8) UPC.xls *As needed (5) KrogerList .xls CASE STUDY 2
    • #inspire14#inspire14 Artisanal Advantage (9) Tableau_db • PDW • VOR • POS Dshbrds.twb CASE STUDY 2 *Maintained by BI *Runs nightly PDW • Fact_RetailExecution • Dim_SalesTrakProject • Dim_M3Project • Dim_Store • Dim_Team • Dim_WorkType • Dim_Associate • Fact_SurveyResponse PDW_Blend. yxmd (7) BillRates.xls PDW_Alteryx. yxmd *Maintained by IT *Runs nightly • Fact_RetailExecution • Dim_SalesTrakProject • Dim_M3Project • Dim_Store • Dim_Team • Dim_WorkType • Dim_Associate • Fact_SurveyResponse (1) PDW_Alteryx.yxdb (6) Client Data Dump.xls *As needed *Prepared monthly (BOM) (2) TDP.csv *Emailed from Nielsen *Saved to network folder every Sunday? *2 weeks behind POS_Aggregate .yxmd *Maintained by BI *Runs weekly (3) RSI.csv Kroger | Safeway Target | Walmart *Saved to network folder every Sunday? RSI_Store_Nu m_Cleanup.y xmd (4) StoreMaster .xls *Maintained by BI *Runs monthly? (8) UPC.xls *As needed (5) KrogerList .xls
    • #inspire14#inspire14 Humanization of Insights Conversational & Interactive data visualization, and planogram design making insights available at the point of decision
    • #inspire14#inspire14 Analytics as a Cooperative Enterprise Study, Do, Teach Insights Footprint
    • #inspire14#inspire14 From Data Donkey to Master Chef A Fantastical Journey? 2012 2013 2014 2015 1. Increasing our Productivity with Alteryx and Tableau 2. Using the time we earn to improvethe conversationwe have with our clients 3. Guided by new visuals we can use to simplifythecomplex
    • #inspire14#inspire14 “It’s okay to glance at the past. It’s not okay to stare at it!”
    • #inspire14#inspire14 Talent
    • #inspire14#inspire14 What’s Next on the Menu • Data is not insight • Better, faster insight generation • Streamlined and cooperative analytic enterprise • Focused on creating outcomes, not interpreting the past • Move from a back office cost center to a front-line revenue generating asset “The actual state of the matter should be actual.”
    • #inspire14#inspire14 All rights reserved © Jose Pombo Find an excuse to win! Let your game speak
    • #inspire14 THANK YOU!