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Advanced Analytics and Reporting in PIM/MDM

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Our Presenters

Kerry Young VP & General Manager

Ramesh Prabhala Founder and CEO

Satheesh Ramachandran Data Science Advisor

Kartik Nanda AI Advisor

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Introducing EnterWorks

Empowering Business & IT Users for over 21 years

All-in-one platform for MDM, PIM, and DAM

Only Solution that is a Leader on both the Forrester PIM and MDM Waves

Highest customer satisfaction marks on industry analyst reports

Industry expertise: distributors, manufacturers, retail, hospitality, service companies, and member / buying groups

Strong Global SI & Technology partnerships

Business Mission Enable Our Customer’s Growth,

Efficiency and Differentiation through Exceptional Competency in Data

as Enabled by our MDM Technologies

Complexity Mastered

Master Shared and Application Data for

Business Model Agility

Discrete Views of Everything

Provide a Central View of Data Across Enterprise

Networks

Differentiated Experiences

Leverage Multiple Domains for Combinatorial Precision

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A Division of

51% LICENSES

OUTSIDE U.S.

2,200+ GLOBAL

CUSTOMERS

75+ COUNTRIES

200+ NEW ACCOUNTS

ANNUALLY

22 OF SAP’S TOP 25

CUSTOMERS

48 NET PROMOTER

SCORE

Auto Apparel Oil & Gas Food &

Beverage Consumer Products Retail Pharma Chemical Entertainment

ADVANCED

ANALYTICS AND REPORTING

IN

PIM/MDM

There are hidden treasures in every data, we help find them!

Ramesh Prabhala Founder, IntelliTide

Speakers

Satheesh Ramachandran PhD.

Data Science Advisor, IntelliTide

Kartik Nanda AI Advisor, IntelliTide

Experienced data scientist with a broad background in applied statistics, data mining, text mining, forecasting and operational research, with over two decades of experience in multiple domains

Was involved in some of the largest MDM rollouts and many years of experience consulting for global corporations

His expertise is Artificial Intelligence, Signal Processing and Algorithms (with multiple patents in these areas) spanning two decades and multiple domains including consumer electronics, e-retail, renewable energy and food supply chain

OUR COMPANY

We are the Masters of Data Science

Data Management

+

Analytics

We glean Insights from your Master Data

(Yes, that occasionally involves coalescing Master Data with other types of data)

We are a Global Solution Partner

Our Customers

MASTER DATA

AND

ANALYTICS

RELATIONSHIP

The Role of Analytics/AI in MDM

The Role of MDM in Analytics

• Lets flip the script - does MDM play a role in advanced analytics? IT ALREADY DOES!

• LOT MORE TO ACCOMPLISH if data scientists, MDM architects and business SME’s collaborate

– In the CRISP-DM model, MDM has a key role to play

– The challenge is awareness and collaboration

– Improved data quality leads to improved analytical outcomes

ANALYTICS WITH MASTER DATA

AND

USE CASES

Analytics Using Master Data & Beyond

MDM Analytics exists at two levels 1. Leveraging Master data (from MDM systems)

2. Leveraging Master data + Transactional data

Use Case 1: Price Change Analysis - Objective

• There are specific price change patterns depending on

product categories.

• Key idea – can these patterns be learnt, and coded

within a machine learning model for predicting price

change?

Thanks to IDEA for the data!

Use Case 1: Price Change Analysis – Model Formulation

Formulation approach –

• Create enough example scenarios from historical data consisting of products at time snapshots.

• Label each snapshot as Yes/No depending on if price changed within a future time window of 90 days.

• Create a profile for the snapshot – how long back was the last price change, how old is the product, product family, etc.

• Correlate the profile with the Label

Use Case 1: Price Change Analysis – Model Performance

• ~900k sample snapshot profiles were created, each with the future Label (price change = yes/no). Baseline change rate = 33%

• Model calibrated on 50%/50% test train sample. Top predictors that are correlated with recent-future price change include

• Aging factors such as time since last status update, time since last price change, age of product

• Product attributes such as product family, Price, Country of Origin, etc.

• Model performs well, strongly able to discriminate the products that are about to have a price change

Use Case 2: Product Classification

Product taxonomy/hierarchy classification is a challenging manual problem

• Wrong classification impacts sales

• Product classification fraud is a concern

• Syndication to online marketplaces exacerbates the problem

• Amazon has nearly 33,000 categories!

• Home Depot has thousands! See here

AI/ML can solve this problem!

Use Case 3: NPI Velocity Prediction

GOAL The speed of introduction of products to the market is critical need of any MDM

Schematic Predictive Model

Sample Product Risk Score

* NPI = New Product Introduction

ADVANCED REPORTING

IN MDM

Goals of Reporting

Aggregate and Present Information for Business Users

User Friendly Application to Empower Business Users

Support Better Business Decision Making

Advanced Business Intelligence Capabilities

Reporting and Visualization Overview

A variety of off shelf tools for reporting and visualization

• EnterWorks and other MDM solutions offer features to embed reports within the UI

• Data can also be extracted via API or files

Use Case: Vendor Performance Scorecard

Measuring of vendor performance is a popular requirement in the MDM industry

Vendor Performance scorecards utilize data from the Vendor and Product domains

Goals

• Detect vendors with the highest volume of product returns

• Reward vendors with the fastest completion of onboarding process

• Measure fulfillment rate by vendor

• Plot vendor deliveries by month

Features

• The dashboard in the top right corner was created in Microsoft Power BI tool

• The dashboard in the bottom right corner was created in Tableau

• Both reports were embedded within EnterWorks

QA AND THANKS!

Presented by

IntelliTide Corp.

Houston, Texas

hello@intellitide.com | 832-899-5820

Questions?

EnterWorks MDM Virtual Conference Join us for Upcoming Webinars in the Everything MDM Virtual Conference Series

PIM, MDM, DAM – Oh My! – Demystifying Terminology of the Data Management Universe

Building from PIM, Customer/Supplier MDM Best Practices: Delivering the Ultimate Data Hub for Your Business

Customer Portals – Enabling a New Level of Customer Empowerment in Today’s Digital Economy

April

14 April

15 April

16

Week 4: Best Practices

Presented by Jean Bordelon and Dean Rutter of Bounteous

Presented by Scott Rompala of DataCatalyst

Presented by Octavio Perales of Intershop

enterworks.com/virtual-conference-mdm/