Withstand uncertainty. Make data-driven business decisions.
Drive agility with contextual, and actionable insights
Leverage our DevOps methodology for technology implementation and delivery
Address urgent business needs with a digital-first approach
Improve engagement by combining people-focused processes with advanced data and analytics
Grow into a world-class digital-first enterprise with our data and analytics solutionsLet’s talk
We offer large-scale web data gathering, structuring, analyses, and dashboarding services. Our public data intelligence solution can provide you with price and brand monitoring, assortment intelligence, and content tracking across different marketplaces and single-brand online retail stores.
Collect data from 50+ available online sources
Capture data from listings and product detail pages
Create central repository
Analyze price, availability, and search results using AI/ML frameworks
Display insights on a customizable dashboard
Hero image checks
Share of products in the search
Sponsored and brand tag tracking
SEO monitoring at scale
With a deep understanding of modern data technologies, our expert analysts dissect data from multiple siloed sources ranging from CRM and product database to sales data and establish a single data warehouse. We calculate and showcase meaningful metrics (price, assortment, brand, and SEO) in a customer dashboard to help your business teams take corrective action wherever necessary.
Source data from multiple data sources sitting in silos
Create an efficient data pipeline
Consolidate in a single data warehouse
Clean obsolete data and retain relevant analysis
Display data and analytics on a custom dashboard
We use custom AI/ML algorithms to support your business development lifecycle – from marketing and sales to customer experience. We cater to your individual business needs ranging from influencer and customer review analytics to video intelligence, by diving into data and capturing analyses in a dashboard.
Define problem statements for ML/AI algorithms
Identify and analyze the many solution parameters
Collect public online data and structure it for labeling purposes
Human in the Loop (HITL) labeling: Collate and upload data in the Workflow platform
Transfer cleaned, labeled data to Data Science teams for AI model deployment
Seeking granular insights into the main characteristics of a data set? Our exploratory data analysis can help you get the answers you need by employing data visualization and data pipeline maintenance.
Observe the dataset based on the imported raw data
Identify and categorize missing values
Notice skewness and gaps to understand dataset trends
Identify correlations and patterns between values
Look for outliers and visualize the analysis
Our data and analytics solutions can
contribute to your growth story.