NEENOPAL

Gain Competitive Advantage Using NeenOpal's Analytics Services & Solutions
Our aim is to extract Business Value out of Enterprise Data

Big Data Analytics

Leverage Big Data Analytics to incorporate Data Driven Decision making in the organization

Machine Learning

Machine Learning to build scalable solutions with ability to incorporate new data for analysis

Customized Solutions

Customized Solutions for your business to achieve defined business objectives

Industry Expertise

Team with rich Industry Experience having worked with Top Global Organizations

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Retail

Our retail analytical solutions are designed to cater to the unique business problems of retailers in different industries. All functions in retail such as marketing, operations, etc. stand to benefit with the use of our analytical tools.

  • Convenience Stores
  • Supermarkets
  • Health & Beauty
  • Pharmacies
  • Fashion & Footwear
  • Home Furnishings
  • Food Retail
  • Electronics
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Logistics & Supply Chain

Logistics & Supply Chain vertical provides the maximum scope in most industries to make a big impact on bottom-line. Efficiently manage the complexities of your supply chain network through our analytical tools.

  • Network Optimization
  • Customer Loyalty Management
  • Operational Capacity Planning
  • WMS Solutions
  • SLA Analytics
  • Demand Forecasting
  • Inventory Optimization
  • Risk Management
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Consumer Packaged Goods

The Big Data Revolution and a continuous growth in data creation and consumption are forcing evolution of data consumption strategies across the value chain of all CPG Organizations.

  • Salesforce Automation App
  • Distribution Management
  • Trade Promotion Management
  • Marketing Mix Modeling
  • Supply Chain Analytics
  • Geo-Spatial Analytics
  • Predictive Demand Forecasting
  • Power BI Implementation
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Without Big Data Analytics, companies are blind and deaf,
Wandering out onto the web like deer on a freeway

- Geoffrey Moore, Author of Crossing the Chasm & Inside the Tornado

Why Invest in Analytics?

Analytics pays back more than 10 times the amount spent; by increasing revenues, decreasing costs or both

Huge opportunity to enhance Quality of Decision Making by using Analytics, since minor improvements in accuracy can translate into millions of dollars.

Business Intelligence is needed to run the business while Business Analytics is needed to change the business.

BI is important to improve your decision-making based on past results, while predictive analytics helps in decision making based on future trends.

Its a known fact that Big Data Analytics, Machine Learning and Artificial Intelligence are going to change the future.

Analytics can serve as a strategic point of differentiation from the competitors and growing the market share. Companies who leverage analytics today will be leaders of tomorrow.

Why Choose Us

Latest Updates

Our Clients

Large Organizations as well as Small & Medium Enterprises across Asia and Europe