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.
Our State Of The Art Data Analytics Consulting Solutions Includes
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.
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:
Technology is constantly evolving in today’s competitive business environment; hence it is important to build…