Government e-Market Place GeM 3 · •Support in resolution of Customer issues by Analysis of...

BI / Analytics- GeM 3.0 – Version 1.0

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Government e-Market Place – GeM 3.0

BI / Analytics on

GeM 3.0


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Change History

Sr. No. Document version Release date Drafted by

1. Version 1.0 18 Jan 2018 GeM

This is version 1.0

Metadata of the Standard

S. No. Data elements Values

1. Title BI/Analytics on GeM

2. Present Status

(Draft/Released/Withdrawn)

Released

3. Publisher GeM

4. Target Audience Stakeholder of GeM

5. Document Number GeM/ Transition 3.0/BI_AN/V1.0


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Table of Contents

1. Abbreviation ....................................................................................................................... 4

2. Introduction ........................................................................................................................ 5

2.1. Role of Analytics in GeM ............................................................................................... 5

2.2. Analytical Life Cycle .................................................................................................. 7

2.3. Dimensions of Analytics in GeM ................................................................................ 7

2.4. Next Generation Analytics .......................................................................................... 8

3. Purpose of the Document ................................................................................................... 8

4. Stakeholder Landscape ....................................................................................................... 9

5. GeM Analytics Maturity Model - Roadmap..................................................................... 10

6. Stakeholders wise Requirement ........................................................................................ 11


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1. Abbreviation

S.No. Abbreviation Description

1. BI Business Intelligence

2. BA Business Analytics

3. DA Demand Aggregation

4. DP Direct Purchase

5. FPS Fraud Prevention System

6. GeM Government eMarket Place

7. GPA GeM Pool Account

8. KPIs Key Performance Indicators

9. L1 Buying Buying through comparison in Market

10. LPP Last Purchase Price

11. MIS Management Information System

12. OEM Original Equipment Manufacturer

13. RA Reverse Auction

14. SLA Service Level Agreement

15. SME Small and Medium Enterprise

16. TAT Turn-Around-Time

17. TP Technical Parameters


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2. Introduction

GeM is a one stop Government e-Marketplace (GeM) to facilitate on line procurement of

common use Goods & Services required by various Government Departments / Organizations

/ PSUs. GeM aims to enhance TRANSPARENCY, EFFICIENCY AND SPEED in public

procurement. It provides the tools of e-bidding, reverse e-auction, and demand aggregation to

facilitate government users to achieve the best value for their money.

GeM seek to consistently SIMPLIFY the procurement process, REDUCE operational costs,

increase SMEs/MAKE IN INDIA participation, deliver better QUALITY and LOWER

PRICES.

2.1. Role of Analytics in GeM

Analytics helps organizations in harnessing their

data, and in using it to make more informed,

evidence based decisions, which in turn leads to

increased operational efficiency, higher savings

and happier customers. It helps the government

to improve its procurement performance and

efficiency.

Although the platform allows the market forces

of demand and supply to dynamically determine

the transactions and prices (subject to the GFR framework), COMPETITIVENESS,

FAIRNESS, and USER FRIENDLINESS of Marketplace, along with BETTER PRICES,

BALANCED DEMAND AND SUPPLY, TRANSPARENCY, and ACCOUNTABILITY

need to be ensured by a robust ANALYTICS building block. Some of the envisaged benefits

of Analytics on GeM are depicted below:


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Figure 1 Role of Analytics for GeM

Support in Migration from GeM 2.0 to 3.0

•Data mining for support in migration of clean data from 2.0 to 3.0

•Migration of Buyers and Sellers (fitering out/identifying deviants)

• Identification of incomplete data for updation

•Retention of 2.0 data in required format to ensure availability for audit, report & Analytics

Decision Support System

•All the Stakeholders such as buyers, sellers and GeM internal users would be able to track and monitor their KPIs

•Spend Analytics Metrics would help the buyer identify the potential saving opportunity and to make a good procurement decision.

•Help in GeM admin for taking action against fraudulent cases, support in TP creation

Transparency

•Analytics would help in ensuring transparency and fairness by highlighting hidden trends and patterns such as price trends, vendors colluding, fraud detection etc.

•High Level government spend analytics for public

Better Planning

•Provide better demand forecasting abilities helping in better planning at the end of buyer as well as seller. This visibility can also help in better fulfilment by seller as based on forecast the inventory planning can be done by seller at his/her end.

Reasonability of Decisions

•Though the market forces would play a role, the platforms still needs to ensure for reasonability in terms of price and delivery. Parameters such as price reasonability analysis and vendor rating would help in enforcing the same.

Customer Service

•Support in resolution of Customer issues by Analysis of logged tickets, SLA adherence, TAT, system performance bottlenecks etc.

•Customer experience enrichment by features such as product reccommendations etc.


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2.2. Analytical Life Cycle

Analytics evolves depending upon dimensions: which are time, complexity, customer

evolution, analytical value, as well as the longitudinal growth of data. The Different Stages of

Analytics are depicted below:

Figure 2 Analytics Stages (Source: Gartner)

2.3. Dimensions of Analytics in GeM


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2.4. Next Generation Analytics

As depicted above in GeM 3.0, Analytics is the centre piece for every business application.

3. Purpose of the Document

For the implementation of an efficient business intelligence platform, it is imperative that an

effective reporting, analytics, and information delivery framework be designed. This strategy

includes the effective consumption of data by end users to drive a proactive decision making.

The purpose of this document is to address all stakeholders’ requirements of short term and

long term from both MIS/Reporting perspectives, and analytics. This document will cover:

Stakeholder Landscape

GeM Analytical Maturity Model and its Road map

Possible MIS/Analytical requirement of identified stakeholders.

Note: The reports/analytical requirements covered in this document are as per the current

requirements of the project. As Analytics is an evolving subject, more reports, as well as

Analytics requirements, will come in the future depending upon the situation as well user

requirements.

Figure 3 Next Generation Analytics Figure 4 GeM 3.0 Architecture


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4. Stakeholder Landscape

Following internal/external stakeholders will consume analytics/BI reports


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5. GeM Analytics Maturity Model - Roadmap

Based on the Analytics lifecycle, the GeM Analytics model has also been put in the same frame

in alignment with the overall goal of the project, along with the outcomes, and is presented

below:


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6. Stakeholders wise Requirement

Stakeholder User Short Term Long Term

MIS/Reports/Dashboards Analytics MIS/Reports/Dashb

oards

Analytics

Public/

Community

Public - Dashboards – Spend Analytics & Trends on

GeM defined KPIs such as Registration

Trends, Yearly procurement trends, services,

popular services/products etc.

Major Savings done by

Government through GeM

Major Savings done by

Government through Portal

Public/

Community

Community Integration with data.gov.in and providing data

on regular basis for public as well as

community use

More data points

Buyers Primary

Users

Personalised Dashboard - Related to overall

transactions, individual performance

MIS Reports related to transaction summary,

payment due, Non-Adherence of SLA, Price

Reasonability

Alerts to ensure price

reasonability and breach of

GeM service levels and

other deviations

Alerts to ensure price

reasonability, Demand

Forecasting

Savings analysis

Personalized Search


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Buyers Secondary

User -

Buyer/Consig

nee

MIS Reports regarding transactions

Dashboards for price trends, optimum

prices

Comparative with Peer Group

SLA Deviation

Vendor Rating

Vendor scorecard on the

basis of parameters such as

supplier price performance,

delivery performance,

product receipt quality,

fulfilment percentage, buyer

feedback etc

Price Reasonability

Alerts to GeM authorities

/Buyers in case of

deviations

of prices compared on

another portal (price

crawling)

Buyer Rating

Based on SLA deviations

related to generation of

PRC, CRAC as well as

payment efficiency as well

as behavioural analysis of

adherence to GeM

guidelines such as deviation

from standard mode of

procurement buyer rating

would be shown

Vendor scorecard

Price Reasonability -

Alerts to GeM authorities

in case of deviations

of prices

Product

Recommendation

Personalized Search

Demand Forecasting

Savings analysis across

categories

Buyers DDO/PAO Pending Payment Report

Annual Financial Transaction Reports

Alerts for:

Overdue payment


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Payment which would

get overdue in next

few days

Sellers Service

Providers/Sel

lers

Customised (Roles & Rights driven)

dashboard for each Service provider/Seller

providing details related to all the

transactions.

Category wise spending of Govt.

Analysis of availability of different

Offerings/service providers/Suppliers

available across categories and

transactions

Transaction Reports

Price Trends

Buyer Rating/Buyer

Scorecard based on

parameters such as

payment history

Alert System for Price

Fluctuations

Support in identifying

the correct category for

any service

Alerts during deviation

from normal behaviour

Alerts for New

category/Service

Additions

Detail Demand

forecasting including

parameters such as

seasonality, locations,

categories to plan

right inventory

Demand Forecasting

Auditors State/Central Transaction Reports for reconciliation

Audit Trails

GPA reconciliations

Third Party Banks Yearly Transaction Reports for

reconciliation

Dashboard - Details for transaction at

different stages so that treasury planning

can be done


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Senior

Government

Officials

States Customized Dashboards highlighting

procurement health of state.

Spend Analytics - enabling users to identify

and realize the savings opportunities, with

ability to do the spend analysis by

products/services, suppliers, supplier/buying

locations, buyers, departments and

procurement route.

Detailed MIS reports and Dashboards

regarding Transaction summary, transaction

lifecycle, SLA adherence reports

automatic alerts for

actionable items

Forecasting- Demand

Forecasting will help

the state in preparing

Annual/Monthly

procurement plan as

well as to get better

rates

RAG based reports

highlighting

opportunities and

risks involved along

with suggestive action

items

Savings done by Government

through Portal

Senior

Government

Officials

Central

Ministry

Customized Dashboards highlighting

procurement health of Ministry.





locations, buyers, departments and

procurement route





actionable items

Forecasting- Demand


the Ministry in

preparing

Annual/Monthly

procurement plan as


rates

RAG based reports

highlighting

opportunities and



items


through Portal


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*****************************End of Document*****************************

Senior

Government

Officials

Central

Department/P

SU/Other

bodies Heads

Customized Dashboards highlighting

procurement health of Department.





locations, buyers, and procurement route.





actionable items

Forecasting- Demand


the Department in

preparing

Annual/Monthly

procurement plan as


rates

RAG based reports

highlighting

opportunities and



items


through Portal

Senior

Government

Officials

ASFA/State

Counter Part

Payment Due reports and Dashboards automatic alerts for

actionable items

Government e-Market Place GeM 3 · •Support in resolution of Customer issues by Analysis of...

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