Home / Digital Solution / Advanced Analytics
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. Lifesup Software leverages advanced analytics that uses mathematical, probabilistic, statistical modelling and analytical modelling techniques that facilitate predictive processing and automated decision making.
LifesUp’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 .
Lifesup’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.
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.
LifesUp’s computer vision and cognitive analytics capabilities offer the following solutions:
Our Computer Vision-based Solutions
LifesUp offers the following Computer Vision-based solutions.
Tools and Technologies Used
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:
Automation of data analytics will give data scientists more time to interpret and concentrate on their core competencies rather than working on analyzing and making sense of the data.
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.
LifesUp 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.
Room Type Classification
Deeply analyze existing customer data to cross-sell/upsell:
Gaining valuable customer insight and intelligence from LifesUp data mining solutions, in order to:
Segment customers into meaningful clusters, in order to:
Forecast the expected lifetime value of your customers:
LifesUp’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.
To position products properly against the competition
Social media analytics data typically stands apart from customer or transaction data, thus making any analysis incomplete.
Lifesup’s social media analytics solution helps overcome that challenge and add insight to your customers in the following ways
Our social media solution centers on sentiment and word analytics include the following services:
In addition to helping businesses with the analytics, we also use machine learning to plan, design and develop the architecture using the following components:
Data visualization is a key part of any data analytics journey. Having a data visualization consultant on board lets you track goal achievement, spot trends at the earliest, identify crucial outliers and also...
LifesUp’s IIoT Analytics services help enhance manufacturing and industrial processes, which is a main component of Industry 4.0. We have deployed IIoT services across domains like...
Customer 360 is a collection of analytics use-cases developed for our customers to understand their customers. They come in handy across the lifecycle of a customer in the evolution from the lead stage to...