1. Capabilities & Case Studies
Entiovi Technologies Pvt. Ltd

2. Entiovi Background :
IT company started by seasoned professionals with years of IT entrepreneurship background .
A collective knowledge base of ninety man years from diverse disciplines such as Statistics, Econometrics, IT, Management and Accounting and Computer Science.

3. Entiovi Capabilities
Business Intelligence along with Stochastic Modeling
Data Integration Applications
SAP Business One
Open ERP 7.0 & ODOO v.11.0
Web Based Applications
Web Portals

4. Technology Stack Front End HTML V / Angular JS /Node Middle Layer
Java Spring  , Laravel
Database
Oracle , SQL Server, Post GRE, My SQL
Scripting
Python, PHP,CI , Falcon , Cake
Integration Tool
Talend
BI Tool
Tableau, Ideal analytics
Stochastic Modelling
R, Minitab

5. Clientele Rainbow Group , Vietnam, Kolkata, Singapore
NLB Services INC – Keystone INC, USA
Linkquest Pte Ltd – Iran Telecom
Temi tea Ltd , India
Al-Dabowi Group,Dubai
Al-Ain Group , Dubai
ICRA management Services Ltd,India
Indian Institute of Technology,KGP,India

6. Case Studies
ROSE 1 - Open ERP /Odoo based development and support for a Third Party Retail Credit called Rainbow Group in SE Asia.
Site Audit - Angular JS / Java Spring based visualization application for Iran Telecom through Linkquest , Dubai.
Master Data Management – Data Integration project involving Oracle and Talend for Rainbow Group, Singapore
Spend Analytics - Angular JS / Java Spring based visualization application developed for a retail food company based in the USA . Our US partner in the project is NLB Services Inc.

7. Case Study #1 Open ERP - ROSE 1

8. ROSE 1 PLATFORM
ROSE 1 is an integrated solution for a mid sized BFSI product distribution company in SE Asia, with a team strength of 600 tele callers and 4000 field sales representatives.
The system broadly comprises of :
ERP ( Open ERP / ODOO v.11.0)
CRM integrated in ERP ( Operational and Analytical CRM)
Dialer ( Asterix based)
Backend BI engine
Mobility solutions integrated with CRM (Android & iOS)
MDM
Digital Marketing solutions including Online Investment Management

9. ERP: Application flow Operational CRM HRMS Payroll FMS
Prospect Acquisition
Lead Generation
Campaign Creation
Lead Distribution
Sales Journey
Supervisory review
Drools rules engine
HRMS
Employee Details
Performance Management
Commission Calculation
Attendance
Recruitment
Payroll
Payroll creation
Payslip
FMS
Payroll Disbursement
Invoice generation
GL/BS
Fixed Assets

10. Rose 1 – Technical Stack
The Technical Stack of the System is as follows:
ERP Platform – Open ERP / ODOO
Backend Database – Post Gre SQL
Frontend –Advanced Javascript, CSS, XML
Scripting – Python ORM

11. Online Investment Management
Online Registration & Login for the Users.
Search / compare optimized fixed deposit schemes among partner banks in a convenient and unique way.
CRM team will get physical signature of the User and initiate opening of Bank account.
Customer will have option to know the status of opening of Bank account online and transfer required fund to purchase FD.
Customer will get digital FD Certificate followed by hard copy Certificate.
Customer will get reminder before FD is going to be matured.

12. Online investment- Tech Stack
The Technical Stack of the System is as follows:
Platform – Android SDK /Angular JS
Backend Database – PostGre SQL / SQL Lite
Frontend – HTML, CSS, XML/Mobile Frontend

13. Case Study #2 Telecom Site Audit

14. Site Audit System Problem Statement :
The scope of the project is to develop an application which can pinpoint all the locations of the network towers, site details & different views of the network towers.
Initial inputs include a map .
Using the co-ordinates of the sites provided, the locations of the sites will be annotated in the map.
When user clicks on the annotation pin, for the particular site on the map, it will redirect the user to the detailed view of the site.
The basic information of the site will be displayed from the annotation pin.
Clicking on the disclosure button will take the user to the detailed view of the particular site.

15. Site Audit Solution Users Categories
Three categories of users are defined :
Site Coordinator
Pro Rigger
Customer

16. Role of Site Coordinator
View All Site Status Statistics
Create User
Create Project
Create Site
Upload Plan data as Excel
Search Sites to view status
Assign Site to Pro Rigger
Review uploaded report by Pro-Rigger

17. Role of Pro-Rigger View All Site Status Statistics
Search Sites to view status
Update Visit Information to assigned sites
Upload Site Information Data as Excel
Review rejected sites

18. Site Audit – Tech stack Front End - HTML V, CSS, XML, Angular JS 1.0
Backend – MySQL
Scripting – Advanced Java Script
Middleware - Javaspring

19. SCREEN SHOTS - SITE AUDIT
Map with coordinates positioning in the system
Site Statistics

20. Case Study #3 Master Data Management

21. Problem Statement
Lead Inventory (LI) of customer data has continuous data feed. 
Source of data is multiple and growing with inputs from data users.
Most updates are done manually and has led to redundant and unauthenticated data.

22. System Requirement
Maintain customer data in a standardized way with flexibility and incremental updates which will be referred to as Customer Information Folder (CIF).
Data from Lead Inventory will follow several reconciliation steps to move to CIF. 
There is a parallel storage of customer information in a data warehouse.
A periodical comparison and reconciliation of both data is needed to minimize gap.
Data in CIF is required to be profiled to uniquely identify customers. 
Database needs to be defined and has to be scalable with rules for access.
There should be a mechanism/policy to validate accuracy of process and data

23. System Components(Total View)

24. Tech Stack Master Data Management
Data Integration tool –Talend
Backend – Oracle
Future input capture – HTML V,CSS,XML
Scripting – Advanced Java Script

25. Case Study #4 – Supply Chain Spend Analytics

26. Spend analytics
Business Objective is to increase profitability and ROI of the supply chain and procurement operations of a large food industry corporation in USA, by providing deep and actionable insights into Vendor | Item | Rate | Volume. The Solution depicts :
Spend Inflation Analysis
Spend Inflation Control Tower
3rd Party Funding Analysis

27. Spend Analytics
The portal provides deep dive views into the supply chain spend data, in order to provide management actionable insights into :
Total Spend Inflation
Unit Rate Inflation
New Item / Supplier Inflation
Increased Volume Inflation

28. Tech stack - Spend Analytics
Front end : HTML V, CSS ,Angular JS 5.0
Middleware : Java Spring
Database : Post Gre