Visual Product Search
We have expertise in the area of visual search technology that will help people search in visual mediums with a swipe of a screen. Our goal is to help solve the problem of how people search for things they can't put into words. Using the incredible visual capability of the human brain, linking that with machine learning, and creating an application that rapidly decreases the time it takes to search in visual mediums. The application can be thought of as Tinder on the front end (simple swipe interface to respond to images of furniture), and Pandora on the back end (classification system with recommendation algorithm).
Smart Analytics for Placing Ads where your Customers are
With ample opportunities for strong advertising revenue in the mobile game industry, the challenge for the client was to develop a holistic strategy for enhanced and effective ad monetization. The aim was to improve both the click-through-rate (CTR) for advertisements and games and the click-to-install conversion rates for games – this in turn could help the client in improving monetisation and ROI.
For this, the client needed insights into the demographics and behaviour of its online audience. What is
the current average revenue per daily active user? Which links drive installs? Are click-to-install rates
higher on Android than iOS? Which are the countries that have high click-to-install rates?
How to find your next customer rapidly and with minimal efforts
The client wished to leverage dAlchemy's analytics expertise to extract the intrinsic value locked in its data and improve its sales funnel optimization strategy. From the collected leads data, could we find out who the client's genuine prospects are and when they would convert?
- Lead Qualification: The client wanted to effectively prequalify potential buyers and set them up for prioritized and personalized sales follow-up; this would aid the client to understand its customers to execute more precise sales and marketing strategies.
- Behavioural Targeting: The characteristics of customers and their pattern of behaviour could be used
to understand buyer personas and determine relevant targeted content for future customers, moving
them through their customer journey faster.
Optimization of Energy Consumption in Buildings.
Electricity use associated with plug loads (any devices that plug into a building’s electrical system) has been on the increase, and plug loads in commercial buildings are now one of the fastest growing end uses of energy. Minimizing plug loads is a primary challenge in the design and operation of an energy-efficient building. In order to conserve energy, what if we could stop charging a laptop as soon as it is fully charged? Can we find out if all the devices in an enterprise are running smoothly and being adequately utilized? What is probability of a plugged-in device being a desktop or a laptop or a printer ? How much energy are the devices consuming? Is the device switched on? The answers to these questions could help the client to design an effective enterprise energy management solution.
The client needed help with classification of network-enabled devices and asset identification for which they engaged with dAlchemy.
Since the client is in the business of energy optimization, its aim was to be able to accurately identify its products or fixtures that were malfunctioning. This would help the client to either remove those particular products from its portfolio or improve those products to ensure that energy consumption was optimized.
How Analytics helps you to Save Power and Reduce Costs
Since the client is in the business of energy optimization, its aim was to be able to accurately identify its
products or fixtures that were malfunctioning. This would help the client to either remove those particular
products from its portfolio or improve those products to ensure that energy consumption was optimized.
Identify diseases in the body before they manifest using Data Analytics
Diabetes mellitus is a chronic, lifelong condition in which it is seen that the sugar levels in the blood are high and the body is unable to use the energy found in food. India has one of the highest populations of diabetics in the world.
The challenge for the client was to analyse diabetes risk for patients based on their life style – the analysis had to be done region wise as well as age wise. The information gleaned could be used to find out if populations of a particular area or region are more prone to diabetes.
The client needed this data for its research since it has been found that appropriate lifestyle intervention can prevent or delay the onset of type 2 diabetes if individuals at risk are identified and treated early. Thus, complications arising due to diabetes like cataract and vision problems can be prevented.
This big data health initiative involved collecting external data required for the analysis - which was taken from India
Diabetic survey. For such initiatives, the quality of the data collected has to be very good – this helps in more accurate
predictions and better preventative treatment.
The Secret of Transformative Learning using Data Analytics.
The client wished to leverage the power of business intelligence and data analytics for:
- Data Insights: Analysis of students' performance in tests and worksheets needed to be done to give powerful insights into students' capabilities and for providing personalized content.
- Objective Campaign Analysis: Client wanted a campaign analysis based on advertisement attributes,
and identification of areas on social media platforms like Facebook, in which advertising strategy adjustments
could be made. The varied media's effectiveness had to be studied in order to understand where
the leads were coming from. This information could then be used to target advertisements on platforms
that were found to be more effective for lead conversion and customer acquisition.