Overview
The advantage of data is the insights it can provide to identify the customer, understand different operations and their impact, improve business strategies and maximise RoI. However, traditional historical reporting and data aggregation of traditional business intelligence (BI) are not enough. Indium leverages advanced analytics that uses mathematical, probabilistic, and statistical modelling techniques that facilitate predictive processing and automated decision making.
Indium’s approach to advanced analytics solutions involves:
Interactive data exploration and visualization
Machine learning model training
Real-time or batch predictive processing
It helps marketing teams discover new customer segments; financial teams to protect against potential frauds; supply chain to ensure enough on time stocking especially during holiday seasons; retail to provide customers with omni-channel consumer experience; oil and gas to reduce equipment downtime; among others using IoT-driven analytics.
Indium’s experienced and skilled Data Scientists and Data Analysts with deep domain expertise deploy advanced analytics solutions conduct pre-mortem on significant investments, reduce fraudulent claims, increase customer acquisition and wallet share, reduce churn, and achieve higher ROI.
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Big Data Engineering
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Advanced Analytics
Blockchain Solutions
Product Development
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Customer Analytics
Businesses today have access to data from multiple sources —right from product-related to data on brands, prices, competitive offerings, and so on. With insightful learnings from Customer Analytics, businesses can continue serving existing customers, prevent attrition, and build stronger relationships through right product offerings at the right time, using the right channel and the right messaging.Indium’s uses Predictive Analytics such as churn analysis, RFM analysis and Customer Lifecycle Value in Big Data environment for its customers across industries such as Retail, Financial Services, E-Commerce and CPG Industries, especially in the US.
This helps in customer acquisition through:
Targeted demographics with the highest concentration of potential customers
Identifying highly profitable prospective customers
Controlling customer acquisition costs
Capturing market share
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Gaining valuable customer insight and intelligence from Indium’s data mining solutions, in order to:
Deeply analyze existing customer data to cross-sell/upsell:
Discover cross-selling and bundling opportunities
Prioritize and optimize the most profitable products
Increase average order value
Deepen customer relationships and improve customer loyalty
Segment customers into meaningful clusters, in order to:
Identify your most profitable customers
Focus your marketing on segments most likely to purchase
Discover potential niche markets
Develop or improve products to meet customer needs
Uncover hidden customer relationships, focus on high-gain segments and discover untapped sources of revenue with our data mining solutions.
Forecast the expected lifetime value of your customers:
Build high-value relationships, maintain customers and reward loyalty
Be proactive in introducing retention strategies
Focus acquisition & reactivation efforts on customers with the highest customer lifetime value
Grow your business with existing customers and increase revenue
Uncover hidden customer relationships, focus on high-gain segments and discover untapped sources of revenue with our data mining solutions.
Forecast the expected lifetime value of your customers:
Build high-value relationships, maintain customers and reward loyalty
Be proactive in introducing retention strategies
Focus acquisition & reactivation efforts on customers with the highest customer lifetime value
Grow your business with existing customers and increase revenue
Big Data Pricing Analytics
Indium’s Big Data Pricing Analytics services, including price elasticity and optimisation, revolve around aiding organizations to set prices right, understand their market positioning, analyse the impact of markdowns and benchmark deals. We also cover relative price points, demand elasticity measures and optimization to establish prices that will maximize margins. We cater to retail, CPG and e-commerce.
Pricing Analytics Services
Indium’s pricing analytics services offerings are built on expertise in analytics as well as domain experience:
Guideline Price Setting
Price Elasticity/Sensitivity
Cross-Elasticity
Price Testing
Dynamic Pricing
Discount Pricing
Price Value Mapping
Social Media Analytics Services
Social media analytics data typically stands apart from customer or transaction data, thus making any analysis incomplete. Indium’s social media analytics solution helps overcome that challenge and add insight to your customers in the following ways
Our social media solution centres on sentiment and word analytics, which includes the following:
In addition to helping businesses with the analytics, we also use machine learning to plan, design and develop the architecture using the following components:
CALIFORNIA
Suite 210, 1250 Oakmead Parkway
Sunnyvale, CA – 94085, USA.
Fax: +1(408) 501-8808
Toll-free: +1(888) 207-5969
NEW JERSEY
Suite 150, 300 Carnegie Center
Princeton, NJ – 08540, USA.
Toll-free: +1(888) 207-5969
Connect With Us
Indium Software delivers exceptional customer-centric solutions for evolving business needs across Digital, QA and Gaming for Fortune 100 – Global 5000 Clients. We have spearheaded and supported many technology-led business transformation programs for our clients.
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