Advanced Analytics Solutions

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 Software leverages advanced analytics that uses mathematical, probabilistic, statistical modelling and analytical modelling techniques that facilitate predictive processing and automated decision making

Indium Software’s approach to advanced analytics solutions involves:

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; using IoT-driven analytics among others .

Indium Software’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.

Cognitive Analytics

Computer vision (CV) and cognitive analytics are combining to resemble the way the human brain works through a combination of artificial intelligence (AI), machine learning (ML), deep learning, semantics and more.

Indium’s computer vision and cognitive analytics capabilities offer the following solutions:

Our Computer Vision-based Solutions

Indium offers the following Computer Vision-based solutions.

Tools and Technologies Used

  • For Room Type Classification: Convolutional Neural Networks (CNN), YOLO, VGG16
  • For Room Object Type Classification: Convolutional Neural Networks (CNN), YOLO
  • For Facial Recognition: Multi level CNN architecture for detecting and encoding face
  • For Image and Video Analytics: FCN (Fully Convolutional Network), Mask-RCNN (Region based CNN), Detectron2
  • For Text Analytics and Speech Recognition: Deep neural networks and Optical Character Recognition (OCR)

Big Data Analytics Solutions

The commonly asked question pertaining that millions of people have asked us is, “what does Big Data mean for my business?” Others who have been planning and investing for years describe it as a vast network of data collection and artificial intelligence driven analytics. Working in the field, we can see AI and data analytics evolving and progressing. In its current trajectory, it bears many similarities to the adoption of the internet.

Big Data analytics act as an enabler for enterprises which allow them to analyze their data completely and real-time analysis can also be done. Data analytics has a huge arsenal at its disposal – predictive analytics, text analytics, text mining, sentiment analysis, geospatial analysis, forecasting, optimization and a lot more. Enterprises can drive innovation and make effective business decisions based on results and insights from the analysis. Enterprises that make use of the data analytics solutions are always in a better position to optimize machine learning and meet their big data needs in disruptive ways.

Automation of data analytics is the next big thing. Our services encompass automation and data analytics solutions. From here, we decided to combine both and provide you with the automation of big data. Depending on what technology is applied, the processing, analyzing and understanding of any amount of data will only take a few weeks. Now that we have established that big data analytics can be automated, let’s see how automating it is of use:

Customer Analytics Solutions

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 Software uses advanced 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.

Big Data Pricing Analytics Solutions

Indium Software’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.

Digital-ready application services

With a wide range of experiences across platforms, partners, products and programs,
Indium’s application services can provide you with the edge to go digital.

null

Guideline Price Setting

For product categories based on market conditions and target contribution marginsRead More »
null

Price Elasticity/Sensitivity

To estimate the impact of pricing on sales volumesRead More »
null

Cross-Elasticity

To understand the impact of price differentials on market shareRead More »
null

Price Testing

To optimize the pricing of products/services based on revenues or profitabilityRead More »
null

Dynamic Pricing

To estimate price-change triggers based on customer behavior to maximize revenue/profitabilityRead More »
null

Discount Pricing

To estimate the retail promotion pricing needed to meet returns on marketing investmentsRead More »
null

Price Value Mapping

Interactive data exploration and visualization To position products properly against the competitionRead More »

Social Media Analytics Solutions

Social media analytics data typically stands apart from customer or transaction data, thus making any analysis incomplete.

Indium Software’s social media analytics solution helps overcome that challenge and add insight to your customers in the following ways

  • Connect social and transactions data
  • Use social profiles in segmentation, model builds and campaigns
  • Target sharper on social media channels
  • Understand the link between social and transactions

Our social media solution centers on sentiment and word analytics include the following services:

  • Using advanced algorithms we help our clients gauge in real time, the emotions in written text in blogs, e-mails, Facebook, Twitter etc.
  • Help build highly visual reports such as word clouds which enable the client to gauge what people are most interested in and communicating about on Social media channels.

In addition to helping businesses with the analytics, we also use machine learning to plan, design and develop the architecture using the following components:

Social Media Analytics Solutions

Technology Expertise – Visualization

Technology Expertise – Analytics Tools

Technology Expertise – Databases

Success Stories

Application Engineering Success Stories

Application Performance Engineering leveraging Elasticsearch for a Global Supply Chain Company

Read More
Application Engineering Success Stories

Automating Approval Workflows In Real Estate Using Elasticsearch Engine

Read More

Our Leaders

null

Manikandan Ramalingam

Sr. Vice President – Application Development Practice

null

Karthik Rangamani

VP – Application Development Practice

We make technology work for your business, no matter where you are in your transformation journey

Get in Touch for transformation






    Subscribe to our newsletter