Use content-ready Joint Planning PowerPoint Presentation Slides for better alignment of goals and strategies between two collaborative partners. Understand the structure of a joint business plan and development process with joint planning PPT presentation slides. Engage with retailers, outline specific joint business plan for specific customers, and more. Joint planning PowerPoint deck will help you align joint objectives and resources, alignment between manufacturers and retailers, track scorecards to measure performance, etc. This ready-to-use joint planning PPT presentation covers topics like integrated business process outline, mission vision goals and objectives, business strategy, financial projection, income statement, balance sheet, business operation analysis, key result areas, operational objectives, performance objectives, action plan, budget, integrated planning process, and more. Maximise potential value for a longer term with joint engagement plan. It is a multilevel process that involves new product development, co-marketing activities, cost saving projects, service levels, vendor inventory, promotions and merchandising, in store sampling activities and more. Get access to the joint business planning PowerPoint deck for sharing resources, ideas, and capabilities to enhance the benefit for both parties. Our Joint Planning PowerPoint Presentation Slides are an excellent aid for growth. You will acquire expertise and experience.
Use content-ready Joint Planning PowerPoint Presentation Slides for better alignment of goals and strategies between two collaborative partners. Understand the structure of a joint business plan and development process with joint planning PPT presentation slides. Engage with retailers, outline specific joint business plan for specific customers, and more. Joint planning PowerPoint deck will help you align joint objectives and resources, alignment between manufacturers and retailers, track scorecards to measure performance, etc. This ready-to-use joint planning PPT presentation covers topics like integrated business process outline, mission vision goals and objectives, business strategy, financial projection, income statement, balance sheet, business operation analysis, key result areas, operational objectives, performance objectives, action plan, budget, integrated planning process, and more. Maximise potential value for a longer term with joint engagement plan. It is a multilevel process that involves new product development, co-marketing activities, cost saving projects, service levels, vendor inventory, promotions and merchandising, in store sampling activities and more. Get access to the joint business planning PowerPoint deck for sharing resources, ideas, and capabilities to enhance the benefit for both parties. Our Joint Planning PowerPoint Presentation Slides are an excellent aid for growth. You will acquire expertise and experience.
What are you getting in return for "the cost of doing business" padding retailer margins with your Trade dollars? Let my team help you achieve WIN/WIN promotions between you and your retail partners.
SiriusDecisions Advanced Waterfall Use Cases - Circulate 2016Full Circle Insights
www.fullcircleinsights.com
Jon Donlon discusses the Demand Waterfall and explores the best practices to unlocking sales and marketing performance in world class organizations.
April 11, 2016 @ the Circulate 2016 conference hosted by Full Circle Insights, a B2B marketing analytics and funnel metrics solution provider.
Creating motivating and personalized incentive plans | webinarAnaplan
Sales compensation plans are traditionally designed around sales roles, and they assume every individual has the same motivations—which psychologists would disagree with. One of the great visions for sales compensation is to provide a level of personalization to sales comp plans to maximize the motivation of individual sales representatives.
As a result, more and more companies are tailoring their incentive plans to increase motivation in their sales reps and encourage desired sales behaviors. Join Steve Marley, co-author of The Future of Sales Compensation, in this webinar as he discusses how companies are enabling personalized incentives to benefit both the individual and the company.
Sales and Operations Planning (S&OP) OverviewMichael Ryan
Improved revenues, business performance, and customer satisfactions are outcomes of a strong Sales and Operations Planning (S&OP) process.
S&OP can be applied to a variety of industries, from cosmetics to aftermarket parts manufacturers.
- What is Procurement Transformation?
- Launching a Transformation Initiative
- Taking the Organization Along With You
- Declaring Victory – What Next?
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.
Our Configure, Price, Quote (CPQ) Solution Study covers one of the six categories presented in our Sales Enablement Best Practices Report. As the name implies, Configure, Price, Quote (CPQ) solutions provide functionality to support complex sales transactions. CPQ systems enable sales teams to custom design or configure a solution for a customer from different product sets, options or piece parts; price the solution appropriately and prepare a quote for the customer in a negotiated sales situation.
We define CPQ as comprising the strategies, processes, technologies and tools that support the organization’s ability to effectively configure products/services from a set of options, price a customized solution based on relevant internal and external factors and provide a digitally generated quote for customer signature and payment.
This study covers the following sections:
- Executive Summary
- What is Configure, Price, Quote?
- Benefits of CPQ
- The CPQ Solutions Landscape
- CPQ Deployment Lifecycle
- Vendor Selection Criteria
- Action Plan
- Analyst Bottom Line
- About the Research Analysts
- Our Solution Study Methodology
- About Demand Metric
There are 8 premium tools & templates linked inside of this solution study:
- CPQ Readiness Assessment
- Sales Enablement Framework
- CPQ Strategy Scorecard
- CPQ Vendors Matrix
- CPQ System RFP Template
- CPQ Vendor Evaluation Matrix
- MarCom Plan Methodology
- CPQ Program Metrics Dashboard
To obtain this document, visit us at http://www.demandmetric.com/register
This is an introduction to competitive intelligence, which includes definition, 5 flavors of competitive intelligence, some analytic tools like SWOT, STEEP, BCG, The Radar Screen, and Win Loss Analysis. Also includes some competitive intelligence books for those beginning in the field.
Subscribe to our newsletter and get our list of over 200 competitive intelligence and marketing books with links to Amazon: http://bit.ly/NHOCqM
Including our latest book, "Win/Loss Analysis: How to Capture and Keep the Business You Want." http://amzn.to/297Mrxl
Integración de las Competencias ALFIN / AMI en el Sistema educativoAprender 3C
Webcast realizado en Aprender3C sobre Integración de las Competencias ALFIN / AMI en el Sistema educativo difudido el 31 de mayo de 2016 en Aprender3C por Felicidad Campal
What are you getting in return for "the cost of doing business" padding retailer margins with your Trade dollars? Let my team help you achieve WIN/WIN promotions between you and your retail partners.
SiriusDecisions Advanced Waterfall Use Cases - Circulate 2016Full Circle Insights
www.fullcircleinsights.com
Jon Donlon discusses the Demand Waterfall and explores the best practices to unlocking sales and marketing performance in world class organizations.
April 11, 2016 @ the Circulate 2016 conference hosted by Full Circle Insights, a B2B marketing analytics and funnel metrics solution provider.
Creating motivating and personalized incentive plans | webinarAnaplan
Sales compensation plans are traditionally designed around sales roles, and they assume every individual has the same motivations—which psychologists would disagree with. One of the great visions for sales compensation is to provide a level of personalization to sales comp plans to maximize the motivation of individual sales representatives.
As a result, more and more companies are tailoring their incentive plans to increase motivation in their sales reps and encourage desired sales behaviors. Join Steve Marley, co-author of The Future of Sales Compensation, in this webinar as he discusses how companies are enabling personalized incentives to benefit both the individual and the company.
Sales and Operations Planning (S&OP) OverviewMichael Ryan
Improved revenues, business performance, and customer satisfactions are outcomes of a strong Sales and Operations Planning (S&OP) process.
S&OP can be applied to a variety of industries, from cosmetics to aftermarket parts manufacturers.
- What is Procurement Transformation?
- Launching a Transformation Initiative
- Taking the Organization Along With You
- Declaring Victory – What Next?
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.
Our Configure, Price, Quote (CPQ) Solution Study covers one of the six categories presented in our Sales Enablement Best Practices Report. As the name implies, Configure, Price, Quote (CPQ) solutions provide functionality to support complex sales transactions. CPQ systems enable sales teams to custom design or configure a solution for a customer from different product sets, options or piece parts; price the solution appropriately and prepare a quote for the customer in a negotiated sales situation.
We define CPQ as comprising the strategies, processes, technologies and tools that support the organization’s ability to effectively configure products/services from a set of options, price a customized solution based on relevant internal and external factors and provide a digitally generated quote for customer signature and payment.
This study covers the following sections:
- Executive Summary
- What is Configure, Price, Quote?
- Benefits of CPQ
- The CPQ Solutions Landscape
- CPQ Deployment Lifecycle
- Vendor Selection Criteria
- Action Plan
- Analyst Bottom Line
- About the Research Analysts
- Our Solution Study Methodology
- About Demand Metric
There are 8 premium tools & templates linked inside of this solution study:
- CPQ Readiness Assessment
- Sales Enablement Framework
- CPQ Strategy Scorecard
- CPQ Vendors Matrix
- CPQ System RFP Template
- CPQ Vendor Evaluation Matrix
- MarCom Plan Methodology
- CPQ Program Metrics Dashboard
To obtain this document, visit us at http://www.demandmetric.com/register
This is an introduction to competitive intelligence, which includes definition, 5 flavors of competitive intelligence, some analytic tools like SWOT, STEEP, BCG, The Radar Screen, and Win Loss Analysis. Also includes some competitive intelligence books for those beginning in the field.
Subscribe to our newsletter and get our list of over 200 competitive intelligence and marketing books with links to Amazon: http://bit.ly/NHOCqM
Including our latest book, "Win/Loss Analysis: How to Capture and Keep the Business You Want." http://amzn.to/297Mrxl
Integración de las Competencias ALFIN / AMI en el Sistema educativoAprender 3C
Webcast realizado en Aprender3C sobre Integración de las Competencias ALFIN / AMI en el Sistema educativo difudido el 31 de mayo de 2016 en Aprender3C por Felicidad Campal
A breakdown of political reform items on which Ronald Kimmons and John Culberson agree and disagree. For more information, see democracy.com/ronald-kimmons.
Building a Complete View Across the Customer Experience on Oracle BICSShiv Bharti
Many organizations today are using a Modern Business Intelligence Platform or Big Data to eliminate Customer Blind Spots. When most firms refer to Big Data, they are not necessarily using “BIG” data, the term is used interchangeably with Analytics by most of our Customers.
Organizations today are increasingly relying on Data to make strategic decisions. Marketing Departments are using Predictive analytics to identify the Prospects or segments that will give their firms the most “lift” and thus highest ROI.
What are Customer Blind Spots?
Gaps in your view of the customer relationship across time
No formal social media listening data
Lack of cross-device identity
Inability for organizations to deliver personalized customer experiences
Inability to apply predictive analytics to customer behavior to optimize products and services
What are the Challenges to eliminate blind spots?
Disparate Data sources
Multiple Sources of the truth
Growth in Data Volumes
Data Migration Challenges
Fundamental Considerations for a Customer 360 project
Customer 360 project should focus on making substantial improvements in 5 key areas: Improve data quality, create Linkages across our various systems, centralize disparate information, transform the data to enable action and insights, and streamline the manner in which data is accessed and available.
Each pillar contains a stream of work broken into parallel paths to accelerate the rollout and adoption of the platform.
If you’re attending @Oracleopenworld (#oow16) and are considering a project to build a Customer 360-degree view by eliminating Customer Blind spots, please join us for our session to learn more on this subject including a customer case study. We look forward to a great session and stimulating conversations.
Building a Complete View Across the Customer Experience on Oracle BI Cloud Service [CON3730]
Monday, Sep 19, 4:15 p.m. – 5:00 p.m. | Moscone West – 2006
The CRM@Oracle series highlights Oracle's internal implementation of Oracle CRM products such as Siebel CRM, Oracle CRM On Demand and Oracle Mobile Sales Assistant. This presentation discusses Oracle's implementation of Oracle Business Intelligence (OBIEE) for Siebel CRM and related information.
Modernizing Integration with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3CMqS0E
Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc. combined with cloud data ecosystems like Snowflake, Big Query, Azure Synapse, Amazon S3, Redshift, Databricks, SaaS apps, such as Salesforce, Oracle, Service Now, Workday, and on and on.
Data, Analytics, Data Science and Architecture teams are struggling to provide the business users with the right data as quickly and efficiently as possible to quickly enable Analytics, Dashboards, BI, Reports, etc. Unfortunately, many enterprises seek to meet this pressing need by utilizing antiquated and legacy 40+ year-old approaches. There is a better way. Proven by thousands of other companies.
As Forrester so astutely reported in their recent Total Economic Impact Study, companies who employed Data Virtualization reported a “65% decrease in data delivery times over ETL” and an “83% reduction in time to new revenue.”
Join us for this very educational webinar to learn firsthand from Denodo Technologies and Fusion Alliance how:
- Data Virtualization helps your company save time and money by eliminating superfluous ETL pipelines and data replication.
- Data Virtualization can become the cornerstone of your modern data approach to deliver data faster and more efficiently than old legacy approaches at enterprise scale.
- How quickly and easily, Data Virtualization can scale, even in the most complex environments, to create a universal abstraction semantic model(s) for all of your cloud, on premise, structured, unstructured and hybrid data
- Data Mesh and Data Fabric architecture patterns for maximum reuse
- Other customers have used, and are using, Data Virtualization to tackle their toughest data integration and data delivery challenges
- Fusion Alliance can help you define a data strategy tailored to your organization’s needs and requirements, and how they can help you achieve success and enable your business with self-service capabilities
Building a 360 Degree View of Your Customers on BICSPerficient, Inc.
Why there is a need for Customer 360 and what the proposed cloud based solution is. We cover the stages of strategic marketing and how Oracle BI can help.
Bigdata and Analytics Services - Clover InfotechSwetha Elias
We consult clients on strategic aspects of the analytical capabilities' planning including BIG data integration through our 20+ years of data management and industry expertise.
POSmart & Trade Smart Business Intelligence for CPGJanet Dorenkott
Working with point of sale data, POS data isn't easy for CPG analysts & data scientists. POSmart automates the integration of POS with internal master data, syndicated data and other sources for true sales analysis, business intelligence & insights. TradeSmart shows trade promotion ROI and trade promotion effectiveness. TPI is needed for TPO & TPM to work effectively
Empowering Business & IT Teams: Modern Data Catalog RequirementsPrecisely
As the demand for data-driven insights continues to grow, the importance of data catalogs will only increase. A modern data catalog addresses new use cases requiring more immediate and intelligent data discovery to drive complete and informed business outcomes.
In this demo, you will hear how the Precisely Data Integrity Suite’s Data Catalog is the connective tissue that empowers business and IT teams to discover, understand, and trust their critical data. Requirements to meet those new use cases include:
· Discovery, lineage, and relationships across silos for more informed insights
· Interoperability with data platforms and tech stacks to increase ROI
· Machine learning to drive more significant insights
· Data observability to alert users to data changes and anomalies
· Business-friendly data governance to advance understanding & accountability
Webinar: SAP BW Dinosaur to Agile Analytics PowerhouseAgilexi
Organisations who can quickly harness their corporate data to make optimum decisions will outperform their competitors. Use the corporate data in your SAP Business Warehouse to create significant business value and competitive advantage for your organisation.
View this webinar presentation to learn about:
• The business imperative to go analytics directly with SAP BW
• How you can rapidly, and at low cost, turn SAP BW into an analytics powerhouse
• Comprehensive and market leading integration of SAP BW with TIBCO Spotfire Analytics
See how SAP BW can be used to deliver analytics at speed and power not seen before. Empower your business and delighting your users beautifully presented insights.
The webinar can be viewed online at: http://bit.ly/sapbwanalytics1
Business Intelligence (BI) technologies are applied by Charter Global to interpret and manage large amounts of unstructured data to help your company evaluate and develop new strategic business opportunities.
Building the Artificially Intelligent EnterpriseDatabricks
This session looks at where we are today with data and analytics and what is needed to transition to the Artificially Intelligent Enterprise.
How do you mobilise developers to exploit what data scientists and business analysts have built? How do you align it all with business strategy to maximise business outcomes? How do you combine BI, predictive and prescriptive analytics, automation and reinforcement learning to get maximum value across the enterprise? What is the blueprint for building the artificially intelligent enterprise?
•Data and analytics – Where are we?
•Why is the journey only half-way done?
•2021 and beyond – The new era of AI usage and not just build
•The requirement – event-driven, on-demand and automated analytics
•Operationalising what you build – DataOps, MLOps and RPA
•Mobilising the masses to integrate AI into processes – what needs to be done?
•Business strategy alignment – the guiding light to AI utilisation for high reward
•Agility step change – the shift to no-code integration of AI by citizen developers
•Recording decisions, and analysing business impact
•Reinforcement-learning – transitioning to continuous reward
Power to the People: A Stack to Empower Every User to Make Data-Driven DecisionsLooker
Infectious Media runs on data. But, as an ad-tech company that records hundreds of thousands of web events per second, they have have to deal with data at a scale not seen by most companies. You can not make decisions with data when people need to write manual SQL only for queries take 10-20 minutes to return. Infectious Media made the switch to Google BigQuery and Looker and now every member of every team can get the data they need in seconds.
Infectious Media shares:
- Why they chose their current stack
- Why faster data means happier customers
- Advantages and practical implications of storing and processing that much data
Check out the recording at https://info.looker.com/h/i/308848878-power-to-the-people-a-stack-to-empower-every-user-to-make-data-driven-decisions
Die Big Data Fabric als Enabler für Machine Learning & AIDenodo
Ansehen: https://bit.ly/2Cet17K
Erstklassige Big Data Fabrics liefern verlässliche Insights, gewährleisten höchste End-to-End Sicherheitsstandards und ermöglichen eine konsistente Datenintegration in Echtzeit – während den Business-Anwendern agile Werkzeuge zum selbstgesteuerten Datenkonsum bereitgestellt werden.
Erfahren Sie in dem Vortrag, wie die Big Data Fabric als Enabler für ML & AI:
- den Business-Anwendern und Data Scientists einen schnellen und agilen Datenzugriff via Self-Services ermöglicht
- Data Governance und Security Richtlinien zentral und verlässlich managebar macht
- relevante Insights aus aktuellen und konsistenten Daten liefert
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Are you getting the most out of your data?SAS Canada
Data is an organizations most valuable asset, but raw data by itself has little value. To drive data’s worth, it must be managed and processed to extract value and information that decision makers can leverage and turn into actionable insights. It is the ways in which a company choses to put that information to use that will determine the true value of its data.
Through business intelligence and business analytic tools, businesses are enabling themselves to make more strategic, accurate decisions, while optimizing business processes. Hear from Info-Tech Research Group and learn what you need to consider when choosing an analytics solution provider. The webinar will highlight Info-Tech Research Group’s recently published vendor landscape for selecting and implementing Business Intelligence and Business Analytics solutions. The report positions SAS as the only leader across all four categories of Enterprise BI, Mid-Market BI, Enterprise BA and Mid-Market BA.
Similar to Trade Promotion Insights from TradeSmart (20)
Mindtree offers Omnichannel Analytics for Consumer Goods manufacturers. Learn how to leverage, multi-retailer, POS data to deliver business outcomes that improve the bottom line.
Understanding the DSR Market looks at the differences between a team and enterprise solution for handling multiple data sources in the consumer goods industry.
POSmart Webinar will cover:What an Enterprise Demand Signal Repository Can Do With POS Data. Why A Point Solution May Not Be Enough. How To Drive Revenue From POS Data.
Consumer Goods Companies need to overcome the challenges of integrating multiple data sources. Learn how to deal with disparate, misaligned and missing data. Gain insights that fuel an Enterprise from a single source of truth.
Most companies have data in various sources. Often, they do nothing but store the data because it takes too much time to make sense of it all. Taking control of the data is a process, but once the building blocks are in place a true Demand Signal Management Process will support an enterprise with reliable business insights.
SmartSuite is an enterprise foundation that integrates and harmonizes POS and Syndicated Data with your internal master data to support business intelligence needs of all departments for consumer goods manufacturers.
On this 30 min. Webinar you will hear from Relational Solutions co-founder, Janet Dorenkott as she discusses: Harmonizing POS data with master data to support
• Assortment Optimization
• OOS & Potential OOS Issues
• Post Event Analytics
• Event Alignments & more
Addressing the Omnichannel dilemma should be a top priority for CPG manufacturers. The omnichannel brings with it, a wide array of new challenges. It's time for retailers and manufacturers to get OmniSmart about attracting, converting and delighting customers!
Trade Spend tops the budget for most CPG Companies and most of them are making big mistakes! Learn what tops the list of Trade Spend Mistakes you want to avoid.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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.
2. Confidential - for limited circulation only
CONFIDENTIAL: For limited circulation only
Implementation Options & Next Steps4
Relational Solutions & Mindtree Background1
2 CPG Expertise & Case Studies
3 POSmart DSR Overview
Product Demo
5
AGENDA
6
Analytics as a Service
3. Confidential - for limited circulation only 3
Relational Solutions Background
Data Warehouse,
Integration
BI/Analytics
“Data Warehouse
of the Year!”
DataStage ETL Best
Implementors Award
Informatica’s
Partner of the Year
Over the YearsIn the Beginning Today
“Top 10
Companies on
the Move”
BlueSky
Integration
Studio
Weatherhead 100
Fastest Growing
Businesses
“Best at integrating
POS with Internal
data”
“Coolest New
Technologies”
“Top 5000 Fastest
Growing Privately”
“Integration Award”
4. Confidential - for limited circulation only
Mindtree at a Glance
68%
North
America
18%
EU
18%
ROW
21%
Banking, Financial
Services, Insurance
26%
Retail, CPG and
Manufacturing
21%
Travel and
Hospitality
24%
Hi-Technology
and Media
3
$700M+
Annual Revenue
$1.75B Market Cap
17,000+
Mindtree Minds
Top 3
YOY growth for 3 years
5. Confidential - for limited circulation only
Global Coverage
5
Basel, Switzerland
Brussels, Belgium
Cologne, Germany
London, UK
Paris, France
Solna, Sweden
Vianen, Netherlands
Europe Asia
Beijing, China
Dubai, UAE
Singapore
Sydney, Australia
Tokyo, Japan
IndiaNorth America
Company HQs Delivery Centers
Bangalore
Pune
Chennai
Hyderabad
Warren, NJ
Cleveland, OH
Dallas, TX
Gainesville, FL
Phoenix, AZ
Redmond, WA
San Jose, CA
Schaumburg, IL
Minneapolis, MN
Chicago, IL
Los Angeles, CA
New York, NY
6. Confidential - for limited circulation only
Managing Data
EDM, DI, MDM, DW, Big
Data
Provide a comprehensive data management
framework, architecture and governance to
achieve a “single version” of truth
Business Intelligence
Descriptive Analytics
Provide a comprehensive data
reporting/dashboards framework,
architecture and governance to deliver
appropriate, timely and actionable
information
Insight Generation
Predictive Analytics
Through an integrated analytics framework
and by applying business rules, statistical
models, visualizations, and industry specific
context derive actionable insights from
disparate data
Decision Science &
Machine Learning
Prescriptive
Turning actionable insights into
measurable outcomes and improving the
speed and quality of decision making
Value to the Enterprise
Data Driven Organization Maturity
Relational Solutions Solidifies Mindtree’s Data and Analytics Continuum
The power of an integrated data and analytics framework
7. Confidential - for limited circulation only
…Defining Mindtree’s CPG Solution Offerings
7
3. Assortment Planning &
Prescriptive Analytics
2. Trade Analytics:
“TradeSmart” & PromoPro
1. DSR – Single source of integrated,
harmonized data “POSmart”
6. Supply Chain Analytics4. Digital Marketing
5. Omnichannel service
orchestration
8. Confidential - for limited circulation only
CONFIDENTIAL: For limited circulation only
Implementation Options & Next Steps4
Relational Solutions & Mindtree Background1
2 CPG Expertise & Case Studies
3 POSmart DSR Overview
Product Demo
5
AGENDA
6
Analytics as a Service
9. Confidential - for limited circulation only
Experience in CPG Value Chain
9
Digital Marketing
Demand Chain
Management
Predictive Analytics
Trade Promotion
Management and Trade
Analytics
Channel Collaboration
Demand Signal
Repository & Data
Ingestion
BI and Analytics
Distributor Management
Sales Force Automation
CRM & Master Data
Management
10. Confidential - for limited circulation only
CONFIDENTIAL: For limited circulation only
Implementation Options & Next Steps4
Relational Solutions & Mindtree Background1
2 CPG Expertise & Case Studies
3 POSmart DSR Overview
Product Demo
5
AGENDA
6
Analytics as a Service
11. Confidential - for limited circulation only
Target
Office Depot
Costco
Kroger
Marketing Forecasts
Shipments
Nielsen
Submit Reports
Most time spent gathering disparate
data
•G ather ing
•Cleaning
•Integr ating
•Justifying
?
Inconsistent reports lead
to questionable decisions
Sales Forecasts
Staple’s
?
?
? ?
?
?
The POS Data Dilemma
Walmart
12. 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 POS So Difficult to Work With?
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
13. Confidential - for limited circulation only
POSmart
Consistency
• Easy Access to
Information
• Improved Productivity
Streamline Data
Gathering
Synchronize, Integrate &
Validate POS
Wal-Mart
Marketing Forecasts
CostcoShipments
Sales Forecasts
Office Depot
Others
Staple’s
Target
Nielsen
Kroger
Productive Meetings
Relational Solutions Automates the Integration & Harmonization of Data
14. Confidential - for limited circulation only
Automated
Harmonization
& Integration
BlueSky
Analytics &
PromoPro
Feed Other
Systems
TradeSmart
Control Center for
Correcting
• Consumption
• IRI
• Nielsen
• POS
• Master Data
• Other
Source Data
Complex
Source Data
BlueSky
Integration
Studio
POSmart
POSmart
DSR
BIS
BIS
Stage
Conform
Data
BlueSky
Analytics
POSmart Foundation
Pre-designed
Retailer &
Integration
Processes
Process Control
Data Foundation
27
15. Confidential - for limited circulation only
Automated
Harmonization
& Integration
BlueSky
Analytics &
PromoPro
Plan
Improvement
• Consumption
• IRI
• Nielsen
• POS
• Master Data
• Plans
• COGS
• Shipments
• Baseline
• Other
Source Data
Complex
Source Data
BlueSky
Integration
Studio
TradeSmart
POSmart
DSR
BIS
BIS
Stage
Conform
Data
BlueSky
Analytics
TradeSmart Foundation: We add Necessary Data Sources & Data Model
Pre-designed
Retailer &
Integration
Processes
Process Control
Data Foundation
27
• Shipments
• Products
• Plans
• Syndicated
PromoPro
16. Confidential - for limited circulation only
1. POSmart Architecture
BlueSky Integration Studio Engine
Pre-built retailer mappings
POS Integration process
Customizable validation Routines
Integration objects for Oracle, SQL Server, DB2, Excel
ODBC, OLEDB, Teradata, Neteeza, SAP, RL, txt, FTP, Access, Amazon, AWS, etc.
Flexible Data model – Design/Retail Calendars
Report Matrix for Data Enrichment
BlueSky Analytics, Viewer & Dashboard
Control Center Editor
2. TradeSmart
Flexible Data Model
BlueSky Analytics, Viewer, Excel Plug-in & Dashboard
PromoPro
SmartSuite
Foundation
Property of Relational Solutions, Inc. By Janet Dorenkott February, 2014,
17. Confidential - for limited circulation only
What Makes it all Work? BlueSky Integration Studio (BIS)
17
• POSmart has a powerful data integration engine
called BlueSky Integration Studio that allows us
to quickly and efficiently read and process source
data in any kind of format.
• Much of the processing is done in parallel, and
in-memory, allowing us to process hundreds of
thousands of records per second.
• We use in-database processing (ELT) when
working with MPP databases, allow us to take full
advantage of the databases massively parallel
processing engines.
• Over 200 cleansing, mapping & validation
processes expedite the integration process
Any File
Format
Validate
Extract
Access
Identify
Enrich
Apply Rules
Load
18. Confidential - for limited circulation only
CONFIDENTIAL: For limited circulation only
Implementation Options & Next Steps4
Relational Solutions & Mindtree Background1
2 CPG Expertise & Case Studies
3 POSmart DSR Overview
Product Demo
5
AGENDA
6
Analytics as a Service
19. Confidential - for limited circulation only
• In-House
• Resides on any Database
• Can Source & Target any Database
• Supports virtually any Query Tool
• In-House Managed (IMS)
• Cloud or Hosted
• Hybrid
Solid Architecture & Flexible Options
Property of Relational Solutions, Inc. By Janet Dorenkott February, 2014,
20. Confidential - for limited circulation only
CONFIDENTIAL: For limited circulation only
DW & Business Intelligence
Architecture Reviews
Data Integration
DSR Implementations
TradeSmart & POSmart
Analytics as a Service
Service Offerings
Digital
TPM & TPO
21. Confidential - for limited circulation only
CONFIDENTIAL: For limited circulation only
Analytics as a Service4
Relational Solutions & Mindtree Background1
2 CPG Expertise & Case Studies
3 POSmart DSR Overview
Product Demo
5
AGENDA
6
Implementation Options & Next Steps
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!
23. India | USA | UK | Germany | Sweden | Belgium | France | Switzerland | UAE | Singapore | Australia | Japan | China
Demo
24. India | USA | UK | Germany | Sweden | Belgium | France | Switzerland | UAE | Singapore | Australia | Japan | China
Appendix
25. Confidential - for limited circulation only
BlueSky Analytics - Providing Actionable Insights
26. Confidential - for limited circulation only
What is TradeSmart?
Leverages the SmartSolution Architecture with integration & 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
Provides insights to Promoted Volume
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.
27. Confidential - for limited circulation only
Relational
Solutions, Inc.
BlueSky for Post Event Analytics
28. Confidential - for limited circulation only
PromoPro to Fine-tune Promotions
30. Confidential - for limited circulation only
What is Baseline?
• Baseline is the expected sales in the absence of a particular marketing variable
like price promotion
• To determine the effectiveness of a given marketing tactic, one needs to first
determine the benchmark baseline sales level
• Baseline sales should be relatively stable estimates without wild spikes in
volume for any given period
• Should be extendable to all retail segments
• Use of aggregated vs. disaggregated data
• IRI & Nielsen use disaggregated data (ie. store level)
• Most others use aggregated data (chain/banner level)
31. Confidential - for limited circulation only
Baselines
• IRI and/or Nielsen syndicated services
• We have our own internal model
• 3rd party modeling formula
• We use Baseline Sales to determine Incremental
Sales lift based on
• your actual Total Sales during the Promo Event
• ROI (Return on Investment) really reflects Return on
Incremental Sales
• Incremental Sales are calculated from Baseline Sales
• There are several methods used to calculate baseline
sales, pick the one you are most comfortable with.
32. 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
33. 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.
35. Confidential - for limited circulation only
-Understand if cannibalization is happening across Brands.
-How does price impact volume?
Buns are
cannibalized
when Biscuits
are promoted.
Cannibalization Report
“We engineer meaningful technology solutions to help businesses and societies flourish.”
16 quarters of consecutive growth
6
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.
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.
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.
POSmart automates the integration, cleansing and harmonization of POS data with internal and syndicated data as well as other outside data sources. The front end product suite includes analytical tools, a dashboard, reporting tools and editors. Our category management, inventory, forecasting, supply chain and marketing reports leverage the clean POS that’s housed in POSmart. If you are interested in seeing a demo of our POSmart suite, please contact Karen and we will schedule a demo specifically for your company.
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!
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.
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.
This shows you a screen shot of PromoPro, but we’ll get into more detail on PromoPro in next Wednesday’s demo.
Promo Event details:
Event start/end dates
Products at the brand, sub-brand or item level
Store Banners
Tactics
If an automated planning tool does not exist, Promo events would be manually loaded for alignment
Inventory
Shipments
Onhand
Discounts off wholesale
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
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